The contribution of reactive carbon emissions from
羰基化合物与还原性氮的液相反应及其对棕色碳贡献的研究进展
第50卷 第1期Vol.50, No.1, 110–1202021年1月GEOCHIMICAJan., 2021收稿日期(Received): 2019-12-30; 改回日期(Revised): 2020-02-24; 接受日期(Accepted): 2020-02-27 基金项目: 国家自然科学基金(41877307, 41775124); 广东省省级科技计划项目(2017B030314057) 作者简介: 廉秀峰(1992–), 女, 博士研究生, 环境科学专业。
E-mail: lianxiufeng15@* 通讯作者(Corresponding author): ZHANG Guo-hua, E-mail: zhanggh@gig ; Tel: +86-20-59291509Geochimica▌ Vol. 50▌ No. 1▌ pp. 110–120▌ Jan., 2021羰基化合物与还原性氮的液相反应及其对棕色碳贡献的研究进展廉秀峰1,2, 胡晓东1,2, 孙 伟1,2, 郭子雍1,2, 唐钰婧1,2,张国华1*, 毕新慧1, 王新明1, 盛国英1(1. 中国科学院 广州地球化学研究所 有机地球化学国家重点实验室, 广东 广州 510640; 2. 中国科学院大学, 北京100049)摘 要: 棕色碳是一类重要的吸光性有机气溶胶, 对全球辐射强迫有重要贡献。
其化学成分和形成机制是地球科学研究的前沿和难点。
模拟实验结果表明, 羰基化合物和还原性氮的液相反应产物在近紫外波段具有较强的吸光性, 且化学成分复杂, 难以分离和鉴定。
本研究回顾了基于实验室羰基化合物和还原性氮的反应速率、反应机制, 以及反应产物中吸光组分的化学成分和光学性质; 总结了反应条件(反应物种类、浓度、溶液酸度、温度和相对湿度)对反应速率和吸光组分形成的影响; 并指出了外场观测和模型研究对这一贡献认识的不足。
关键词: 铵盐; 有机胺; 棕色碳; 氨基酸; 羰基化合物中图分类号: P593; X513 文献标识码: A 文章编号: 0379-1726(2021)01-0110-11 DOI: 10.19700/j.0379-1726.2021.01.011Advances on the aqueous reaction between carbonyl compounds and reducednitrogen-containing compounds and its contribution to brown carbonLIAN Xiu-feng 1,2, HU Xiao-dong 1,2, SUN Wei 1,2, GUO Zi-yong 1,2, TANG Yu-jing 1,2,ZHANG Guo-hua 1*, BI Xin-hui 1, WANG Xin-ming 1 and SHENG Guo-ying 11. State Key Laboratory of Organic Geochemistry , Guangzhou Institute of Geochemistry , Chinese Academy of Sciences , Guangzhou 510640, China ;2. University of Chinese Academy of Sciences , Beijing 100049, ChinaAbstract: As one of the most important classes of light-absorbing organic aerosols, brown carbon has an important contribution to global radiative forcing. Chemical composition and formation mechanism of brown carbon are the focus and challenge in earth science research. Laboratory simulation experiments showed that the reaction products of carbonyl compounds and reduced nitrogen-containing compounds have strong absorbability in the near-ultraviolet band. The chemical composition of these reaction products is complex, which is therefore difficult to be separated and identified. In this paper, we summarize the results of reactions between carbonyl compounds and reduced nitrogen-containing compounds in the laboratory, including reaction rate, reaction mechanism, chemical composition, and optical properties of the light-absorbing reaction products. In addition, we summarize the effects of reaction conditions (i.e., reactant type, reactant concentration, solution acidity, temperature, and relative humidity) on the reaction rate and the formation of the light-absorbing products. The present study also highlights the deficiencies of field observation and model study on these effects. Key words: ammonium; amines; brown carbon; amino acid; carbonylsww w.ge o ch i mi ca .c n第1期廉秀峰等: 羰基化合物与还原性氮的液相反应及其对棕色碳贡献的研究进展 111Geochimica▌ Vol. 50 ▌ No. 1▌ pp. 110–120▌ Jan., 20210 引 言二次有机气溶胶(secondary organic aerosol, SOA)是大气细颗粒物的重要组成部分, 通过吸收和散射太阳光和热辐射影响全球气候[1–2], 也是引起气溶胶气候效应估计不确定性的重要原因之一[3–4]。
稀土文摘快报
42Ce 对 Ce/Cu- SSZ-13 在 NH3选择性催化还原 NO x反应中低温性能和水热稳定性的促进作用Role of Ce in promoting low-temperature performance and hydrothermal stability of Ce/Cu-SSZ-13 in the selective catalytic reduction of NOx with NH3领域:催化材料团队:西安西京大学电子信息学院先进光电材料与能量转换器件重点实验室期刊:Separation and Purification Technology (impact factor:10.9 )1 区 随着汽车保有量的增加,移动源废气的处理,特别是脱硝(de-NO x)提出了新的挑战。
迫切需要开发具有宽工作温度窗口的高效脱氮催化剂。
本工作通过离子交换法制备了一系列 Ce 改性的 Cu-SSZ-13 分子筛(Ce/Cu-SSZ-13),其交换时间不同(x = 1,2,4,8 h),并研究了 Ce 在选择性催化还原(SCR)NO x 中对 Ce/Cu-SSZ-13的低温脱 NO x性能和水热稳定性的促进作用。
由于 Ce 的改性,特别是交换时间为2 小时的 Ce/Cu-SSZ-13,提高了 Cu-SSZ-13 的低温脱氮性能和水热稳定性。
在 210 ℃ ~ 600 ℃的温度范围内,Ce/Cu-SSZ-13 和 Cu-SSZ-13 的 NOx转化率均超过 95%,Ce改性显著提高了低温范围(120 ℃ ~ 210 ℃)内的 NO x 转化率。
结果表明,Ce 离子交换后,Cu-SSZ-13 上的酸度、表面 Cu2+/Cu+比和 NH3吸附量增加,活性组分 Cu2+由于 Ce 的改性而向更稳定的六元环迁移,所有这些都促进了 NH3-SCR 脱氮性能的提高。
此外,在水热老化过程中,Ce 的存在保护了 Cu-SSZ-13 的骨架、酸性位点和活性组分 Cu2+,极大地提高了 Cu-SSZ-13 分子筛的水热稳定性。
中国工程物理研究院化工材料研究所基于含能材料释能效应构筑了高性能柔性超级电容器材料
CHINESE JOURNAL OF ENERGETIC MATERIALS 含能材料2019年第27卷第3期(177)含能快递含能快递含能快递美国爱达荷大学通过非金属催化的碳⁃碳裂解/肟⁃释放⁃偶联反应高效构建含能材料在均相介质中,采用传统方法设计可用于有机化学的新工艺依赖于催化剂活化或金属介导的C ─C 键活化。
美国爱达荷大学报道了一项新的研究结果,即在没有金属(金属络合物介导或催化剂)的条件下,通过C ─C 键裂解伴随失去肟基的自耦反应,可得到TKX⁃50以及一种有潜力的新一代含能材料替代物N ,N '⁃([3,3'⁃二(1,2,4⁃恶二唑)]⁃5,5'⁃二基)二硝胺。
源自:Zhao G ,He C L ,Shreeve J M ,et al.Efficient construction of energetic materials via nonme⁃tallic catalytic carbon⁃carbon cleavage/oxime⁃release⁃coupling reactions [J ].Journal of the Ameri⁃can Chemical Society ,2018,140(10):3560-3563.中国工程物理研究院化工材料研究所基于含能材料释能效应构筑了高性能柔性超级电容器材料由于TATB 具有完美的对称结构、高的N/C 比、丰富的C ─N 键,以及超长的C ─C 键带来的热分解行为,中国工程物理研究院化工材料研究所的研究人员设计了以TATB 为唯一C/N源,ZnO 纳米线为“自牺牲”模板的策略,一步制备了高含量(14.3%)吡啶氮(N ─6)占优(69.1%)的中空碳纳米线,显著提高了中空碳纳米材料超级电容器的比容量(~310.7F/g )和倍率特性。
源自:Li R ,Li X D ,Chen J ,et al.Pyridinic⁃nitrogen highly doped nanotubular carbon arraysgrown on a carbon cloth for high⁃performance and flexible supercapacitors [J ].Nanoscale ,2018,10(8):3981.韩国科学技术院深入研究了铝热反应过程中的氧化机理韩国科学技术院的研究人员将n⁃Al 分散于三维有序大孔CuO 构成纳米铝热剂,其尺寸和混合的均匀性均能实现结构与铝热反应特性之间的定量关联。
乳腺癌的分子生物学进展(1)
• Breast cancer occurring before age 50 (premenopausal) in first- or second-degree relative(s) • Two or more first- or second-degree relatives with breast or ovarian cancer • One or more first-, second-, or third-degree relative(s) with breast and ovarian cancer or with two separate or independent breast cancers • Male relative(s) with breast cancer • One or more first-, second-, or third-degree relative(s) with BRCA1 and/or BRCA2 gene mutation Note. First-degree relatives are mother, daughter, sister, father, son, and brother. Second-degree relatives are grandmother, aunt, niece, grandfather, uncle, and nephew. Third-degree relatives are greatgrandmother, great-grandfather, great-aunt, great-uncle, and female and male first cousins. Figure 1. Family History That Increases Breast Cancer Risk
农田N2O通量测定方法分析
第9卷第2期2002年4月地学前缘 中国地质大学 北京Eart h S cience F rontiers Chi na Uni versit y of G eosciences B ei i n gV o1.9No.2A p r .2002农田N 2O 通量测定方法分析李俊!于沪宁!于强!谢贤群中国科学院地理科学与资源研究所 北京100101摘要!采用空气动力学方法 波文比 能量平衡法及密闭箱法结合气相色谱分析对农田N 2O 通量进行了测定 在夏天和秋天观测前的1 2周 148和109k g N h m -2肥料被分别施入夏玉米田和冬小麦田 实验表明 空气动力学法与波文比 能量平衡法测定的N 2O 通量在冬小麦田较为接近 在夏玉米田则相差较大 夏玉米冠层上方温湿梯度的细微变化可导致能量平衡法计算的N 2O 通量发生较大离散 从而与空气动力学法的计算结果产生较大偏差 观测期间 微气象法和密闭箱法测定的农田N 2O 日平均通量在夏玉米田分别为18 37和8 5n g N m -2 s -1 在冬小麦田分别为43 21和6 1n g N m -2 s -1 微气象法测定的农田N 2O 通量高于密闭箱法的观测值 由此推测作物冠层可释放N 2O 其机制可能是土壤中生成的N 2O 被作物的蒸腾液流输送到大气中 微气象法和密闭箱法测定的N 2O 通量间的差异在冬小麦田大于夏玉米田 表明冬小麦释放N 2O 的量大于夏玉米 这可能是冬小麦根系分布较夏玉米深的缘故 采用密闭箱法观测时 箱内气温发生变化 半小时内最高可增加10 因地温变化小 其对土壤中N 2O 的生成并无显著影响 由于密闭箱法观测忽略或低估了植物释放的N 2O 且箱内的边界层阻力可能高于箱外 其测定的地表N 2O 通量偏小关键词!N 2O 通量 空气动力学方法 波文比 能量平衡法 密闭箱法 冬小麦 夏玉米 边界层阻力中图分类号!P402 S 15文献标识码!A 文章编号!10052321 2002 02037709收稿日期!20011206 修订日期!20011211基金项目!国家自然科学基金资助项目 49671018 中国科学院地理科学与资源研究所资助项目 CX I OG -C 00-03 德国马普大气化学研究所资助项目作者简介!李俊 1969 男 硕士 副研究员 主要从事农田生态与温室气体方面的研究0引言氧化亚氮 N 2O 由于它对平流层O 3的破坏作用及其对温室效应的贡献 越来越引起人们的关注 现今大气中N 2O 的浓度为320nL L 并以每年大约0.25%的速率增长 大气中的N 2O 主要来自土壤中微生物的硝化 反硝化作用 此外海洋 工业生产 生物质燃烧和反刍动物也是N 2O 的源 N 2O 的汇主要是在于平流层的光解作用 在全球大气N 2O 平衡的研究中 估算的N 2O 源不足以解释大气中N 2O 浓度的持续增加 其间相差1.5T g N a -1 1约占已知N 2O 源的1 10 这表明还有些N 2O 源未被发现 或者是对已知源的强度估计过低了 尽管如此 可以肯定的是 大气中N 2O 浓度的增加是人类活动导致其源大于汇的结果 为了用有限的农业土地生产更多的食物 不可避免地导致氮肥的大量施用 这使得耕作土壤成为N 2O 最大的人为源 确定农业活动对大气N 2O 的贡献显得至关重要以往对地表N 2O 通量的测定几乎都采用密闭箱法 密闭箱法简单易行 非常适合于不同作物品种 不同施肥灌溉处理的田间小区观测 并且 密闭箱法 气相色谱法自动观测系统已成功地实现了全天候连续观测 这是目前评价N 2O 通量时间变异性的最有效的观测方法 2不过 由于密闭箱对测量环境会产生人为影响 它所测出的N 2O 通量可能比未覆盖箱子的同一块地的N 2O 通量偏小 3此外土壤排放N 2O 高度的时空变异性也限制了其测定结果的代表性受仪器测量精度的限制 以往尝试用微气象法测定地表N 2O 通量 结果并不理想 4 5近十年来随着气相色谱仪 GC 分析精度的提高 特别是一些精度更高 响应速度更快的分析仪器 如可调二极管378李俊于沪宁于强等地学前缘(E art h S cience F rontiers)2002,9(2)激光痕量气体分析系统TDLAS傅利叶变换红外分析仪FT I R的出现涡度相关法空气动力学技术和波文比能量平衡法等微气象学方法被成功应用于地表N2O 通量的观测中612与此同时不同观测方法和仪器间的对比实验也在草地和农田展开1216王庚辰17对各种微气象法及箱法在陆地生态系统温室气体通量观测中的应用作了较为全面的评价本文在前人工作的基础上采用空气动力学技术波文比能量平衡法及密闭箱法结合气相色谱分析对农田N2O 通量进行了测定并分析了不同方法间观测结果差异的原因1实验条件与方法1.1实验地点概况实验在中国科学院栾城农业生态系统试验站37 53'N114 41'E海拔50.1m进行该站位于太行山前平原属暖温带半湿润季风气候试验地为大片均匀的冬小麦夏玉米轮作田面积20h m2土壤为轻壤土属褐土类灰黄土种土壤有机质含量为1213g k g全氮量为0.78g k g p H8.5 1995年7月21日在夏玉米田施尿素148k g Nh m-2施肥后第二天灌水60mm同年10月2日在冬小麦田施尿素磷酸二铵109k g Nh m-2底肥翻入土中1.2实验方法在同一地块同时采用密闭箱法和微气象法测定N2O通量1.2.1密闭箱法观测观测箱由有机玻璃制成外贴蓝色半透明塑料膜长宽高为52.5c m>47.5c m>30c m底面积0.25m2壁厚0.8c m由德国马普大气化学所提供在玉米田行距60c m箱子扣在玉米行间的土壤上在冬小麦苗期田间行距只有1520c m拔去麦苗箱子只罩住土壤当冬小麦长高后换成透明聚乙烯塑料薄膜制成的观测箱大小为48.5c m >47.5c m>74c m底面积0.23m2观测时箱壁插入土壤78c m将土壤和冬小麦一起罩在里面箱盖上插有水银温度计箱内正中置一微型电扇直径6c m功率12W距地表15c m观测时风扇转动将箱内空气搅拌均匀白天每2h观测1次晚上每4h观测1次分别在盖箱后0102030m i n 用微型气泵德国制造抽取箱内空气到1L镀铝薄膜软袋内同时读取箱内气温用地温表测定0 20c m处的土壤温度气压由气象站内的水银气压表测定1.2.2微气象梯度观测小气候梯度观测和气体采样架位于大片均匀农田的中心温湿梯度的测定采用中国科学院地理研究所研制的波文比观测系统净辐射由澳大利亚CN-1型辐射平衡表测定温湿风观测高度在夏玉米田为作物冠层上方0.5m和1.6m在冬小麦田为作物冠层上方0.5m和2m辐射观测高度为冠层上方1.5m在观测架附近株间和行间土表下2c m处各埋一块土壤热流板测定土壤热通量上述仪器均与澳大利亚DT100型数据采集器相连数据实现昼夜连续自动采集每隔15s测量一次每5 m i n输出一组平均值所有仪器均经严格的标定对温湿度传感器还定期进行平行比较以确保数据的可靠性在野外条件下温度传感器的精度可达0.05数字式三杯风速表的启动风速为0.25m s-1精度为0.1m s-1观测期间风浪区的长度在200m以上较好地满足了微气象梯度观测的要求气体样品白天每隔2h采集一次夜间每隔4h 采集一次由双通道微型气泵德国制造将两个高度上的空气抽入镀铝膜软袋内用流量计控制气流速度观测期间定期查气路以保证其气密性1.2.3气相色谱分析采集到的气体样品被很快送入实验室由HP5890增强型气相色谱仪测定样品中的N2O浓度该仪器配备63N-ECD检测器不锈钢柱为18英寸>6英尺内装p ora p ak;80100目A r-5%CH4作载气柱温90检测器温度330标准气体N2O浓度为315nL L由德国马普大气化学所提供稀释气体为人造合成空气在250 1000nL L的N2O浓度范围内仪器具有良好的线性气相色谱分析采用外标法样品中的N2O浓度至少重复测定两次之前之后各测一次标准气体中的N2O浓度N2O浓度的分析误差为标准气体和气体样品两者分析误差之和采用微气象法测定N2O通量时如两高度间的N2O浓度差大于二者N2O浓度分析误差之和则视为有效浓度差反之则浓度差近似为0无法测出N2O通量李俊 于沪宁 于强 等/地学前缘(E art h S cience F rontiers )2002,9(2)3791.3通量计算方法1.3.1密闭箱法密闭箱法测定土壤N 2O 通量的计算公式如下:F c =h c C I-C 0I(1>其中F c 为箱法测定的N 2O 通量(g -m -2-s -1>;h c 为箱子高度(m > 为N 2O 的质量密度(g -m -3> C 0和C I 分别是覆盖时间为0与I 时的箱内N 2O 浓度(nL /L >现行的通量计算方法是采用公式(1> 通过箱内N 2O 浓度线性变化以确定其通量 由于N 2O 的质量密度 实际上是随温度和气压的变化而变化的 所以须用理想气体状态方程对(1>式加以修正 18 19I 得到下列公式:F c =h cM 1p a C RT c a I(2>其中p 为气压(Pa > T c 为箱内气温(K > R 为普适气体常数(8.3144Pa -m 3-m o1-1-K -1> M 1为N 2O 的摩尔质量(44.016g -m o1-1> C 为箱内N 2O 浓度(nL /L > I 为扣箱后时间(s > 1.3.2空气动力学方法在近地层大气中 能量.物质的输送受风速.温度和气体浓度等的垂直梯度大小的制约 根据空气动力学理论 在近地层空气动力学粗糙表面上 N 2O 通量(F a >可由下式计算 6 20I:F a =- a a 2(Z - >2a a Z a C 1a Z a 1a m( m 1>-1(3>其中 a 是空气密度(g -m -3> a 是卡曼常数(0.42> Z 是观测高度(m > 是零平面位移(m > C 1为N 2O 的质量混合比(n g /g > a m .a 1分别是动量和N 2O 交换系数; m 和 1分别为动量和N 2O 交换的稳定度订正函数 稳定度订正函数的计算采用P r uitt 等 21I的模式: 1= m =(1-16R i >-13当R i <0 1= m =(1 16Ri >13当R i >:’L 0(4>在近地层中 理查逊数R i 被定义为:R i =g a a Z (a a Z>-2(5>其中 为位温(K > g 为重力加速度1.3.3波文比/能量平衡法波文比/能量平衡法作为一种成熟的微气象方法被广泛应用于水.热通量及CO 2等气体通量的测定 近年来它又被用于地表N 2O 通量的实验观测中 10 11I D en m ead 22I 根据能量平衡原理和近地层相似理论得到地表N 2O 通量(F b >的计算公式:F b =R 1-G C p ( 1>a C 1a T e(6>式中R 1是净辐射(W -m -2> G 是土壤热通量(W -m -2> C p 是定压比热 是水汽平均密度与干空气平均密度之比 T e 为有效温度(K > 可由下式计算:T e =C p W 1(7>式中 是汽化潜热 W 是水汽的质量混合比在很干燥的条件下 波文比值很大的正值 或在能量平流较强时 波文比为负 采用能量平衡法计算的通量误差较大 23I实际观测中对此类计算结果均予以去除2结果与讨论2.1空气动力学方法与波文比!能量平衡法比较采用空气动力学方法与波文比/能量平衡法测定的N 2O 日平均通量 在夏玉米田相差较大 分别为(18 37>和(-4 85>n g N m 2-s -1;在抽穗灌浆期的冬小麦田则较为接近 分别为(33 19>和(256>n g N m 2-s -1 在冬小麦苗期的实验中 由于只有一层风速数据 无法用空气动力学法计算通量 采用波文比/能量平衡法测定的苗期冬小麦田N 2O通量为(57 21>n g N m 2-s -1;大于其在抽穗灌浆期的值(表1> 由于在夏玉米田采用波文比/能量平衡法测出了许多负的N 2O 通量(向上为正> 使其平均值偏小 这些向下的通量并不表明土壤吸收N 2O 因为同时采用密闭箱法测出的土壤N 2O 通量均为正 在进行微气象梯度观测时 由于N 2O 通量测定的平均时间为10m i n 导致其通量值的较大波动 负值的出现是N 2O 通量波动的表现 将通量观测的平均时间延长为30m i n 或更长可平滑掉一些N 2O 通量的极端值 使其波动减小 在夏玉米田观测到的N 2O 通量的波动要大于在冬小麦田观测的值(表1 图1> 这可能是由于夏天气温和地温波动大于春天和秋天的缘故 波文比/能量平衡法计算的通量的波动范围要大于空气动力学法计算的值(表1 图1> 有植被覆盖的粗糙表面或较弱的能量平流可能会引起下垫面上的温湿梯度的细微变化 这些微小变化对波文比和理查逊数(Ri >影响较小 但对有效温度梯度(a T e >的影响显著 从而导致能量平衡法计算的N 2O 通量在数值上380李俊于沪宁于强等/地学前缘(E art h S cience F rontiers)2002,9(2)表1微气象法和密闭箱法测定的农田N2O 通量比较T ab1e1C o m p arison bet W een N2Of1uXes m easured b y m icro m eteoro1o g ica1and cha m ber m et hods i n a cro p fie1d观测地点日期F aX n g N m2-s-1XF bX n g N m2-s-1XF cX n g N m2-s-1XF a/F cF b/F cd T c/d IX-h-1XT s5X X夏玉米田1995073070125-744221225.7-6.13.83.326.91.0 19950731-1546-20167122-1.3-1.85.35.726.31.2 199508201919111918545.433.63.43.523.61.6 19950821-117-411593-0.3-12.21.91.123.70.7平均1837-485852.4-0.541252冬小麦田199510184340726.04.66.616.22.8 1995101972437110.43.65.015.63.6平均572178.14116冬小麦田1996050946392959519.35.96.76.415.31.2 1996051020402014414.54.65.26.514.10.9平均331925657.05.361151注:F a~F b和F c分别为空气动力学法~波文比/能量平衡法和密闭箱法测定的N2O通量X n g N m2-s-1X;d T c/d I是扣箱期间箱内气温平均变化率;T s5是5c m处地温0图1采用空气动力学技术(a b c>~波文比/能量平衡法(d e f g>和密闭箱法(h i k>测定的农田N2O 通量F i g.1N2O f1uXes m easured b y aerod y na m ic(a b c>BREB(d e f g>and c1ose cha mber m et hods(h i k>i n a cro p fie1d离散较大X公式6~7X0冬小麦田下垫面粗糙度小波文比/能量平衡法计算结果较为稳定0空气动力学方法通过风速和气体浓度的梯度计算痕量气体的通量X公式3X温湿梯度的微弱变化对计算结果影响较小0不过不同的稳定度订正函数对空气动力学方法计算的结果影响很大在实际计算中应根据当地气候条件及下垫面状况选择适宜的稳定度订正模式李俊于沪宁于强等地学前缘(E art h S cience F rontiers)2002,9(2)3812.2微气象法与密闭箱法比较在夏玉米田苗期和灌浆前期的冬小麦田采用密闭箱法测定的N2O通量为8 57和5n g N m-2s-1表1同时采用微气象法测定的N2O通量F m高于密闭箱法的测定值F c在夏玉米田苗期和灌浆前期的冬小麦田测定的Fm F c分别为2.48.1和6.2表1在夏玉米田由于波文比能量平衡法计算结果波动较大Fm为空气动力学法的计算值在苗期冬小麦田Fm为波文比能量平衡法的计算值在苗期冬小麦田空气动力学法与波文比能量平衡法的计算结果相近Fm为二者平均从已经发表的同类实验看在草地和农田测定的Fm F c 变化在0.258.061316本文结果基本在其范围之内在夏玉米田和苗期的冬小麦田箱子只扣住了土壤而微气象法测定的是来自整个下垫面包括土壤和植物的N2O 通量Fm与Fc间的差距似乎预示着植物在地表N2O 排放中的作用微气象法测定的N2O 通量代表了大片农田的平均状况而箱法直接测定的面积很小在本实验中仅为0.25m2Fo1or unso和Ro1st on24发现用箱法测得N2O 通量的变异系数高达282%379%为克服空间变异性的问题须在被测点作多点重复测量以平均值作为这一地区的代表本实验中采用密闭箱法在田间进行了多次昼夜连续观测每次都随机选点其测定结果的平均值可代表田间N2O 排放的平均状况2.3密闭箱对测量环境的影响2.3.1箱内气温和地温实验中采用的箱子由透明有机玻璃或聚乙烯塑料薄膜制成它对太阳短波辐射的透过率较高对箱内空气和被罩表面的长波辐射则有较强的阻挡作用能量平衡的改变导致箱内空气和土壤温度变化使箱子变成一个小温室在田间多数情况下罩箱使箱内气温升高其平均变化率为正表1图2箱内气温平均变化率晴天大于阴天白天大于夜间其峰值出现在午后半小时内箱内气温最高可增加10图2傍晚或阴雨天当外界气温下降时箱内气温也逐渐下降其平均变化率为负同箱内气温相比被罩表面地温变化则很小M att hi as等25认为扣箱20m i n后箱子对被罩地表下2c m处地温的扰动不超过1Christensen 等14的实验表明箱子密闭1h后在胡萝卜地和麦茬地箱内地表下5c m处地温分别比箱外高出了图2扣箱期间箱内气温平均变化率F i g.2Chan g i n g rates of air te m p erat ure i nsi de t hecha mber duri n g c1osure p eri ods0.6和0.2在本实验中5c m处地温日较差最大值与最小值之差在夏玉米田为2.211.4在冬小麦田为1013.2表1扣箱对地温的改变与地温的日变化相比微乎其微箱内气温和地温变化对土壤中N2O的生成并无显著影响M att hi as等25对比了不同材料的箱子箱内温度的差异发现罩箱20m i n后有机玻璃箱内气温升高很快金属箱次之绝热箱内温度基本不变杜睿等26采用包有不透光反射膜的暗箱发现1h内箱内外温差不超过3在提高气相色谱分析精度的基础上缩短测量时间也可减少箱内外温度的差别2.3.2植物排放N2O及扣箱对其的影响M osi er等27发现当淹水稻田的土壤排气不畅时N2O可通过水稻植株的通气组织向大气扩散Chan g等28通过实验证实土壤中生成的N2O可通过大麦植株上升的蒸腾液流被输送到大气中并推测其他植物也可能有此现象本文中微气象法测定的农田N2O通量高于密闭箱法的观测值由此推测冬小麦和夏玉米冠层可释放N2O将植物罩入暗箱内光合作用停止通过蒸腾作用释放N2O的过程也停滞下来即便使用明箱植物继续进行光合作用由于箱内气温和湿度升高很快蒸腾量降低由蒸腾液流输送的N2O也将大大382李俊于沪宁于强等地学前缘(E art h S cience F rontiers)2002,9(2)减少与小麦不同豆类植物叶片在硝酸还原酶的作用过程中可产生N2O2930Leuni n g 等16在牧场将紫花苜蓿罩入暗箱内可能使这一过程受到阻碍从而使密闭箱法测定的N2O 通量低于微气象法观测的结果无论明箱还是暗箱都将低估植物排放的N2O 但如果不把植物包含在箱内就将忽略通过植物释放的N2O 在有植被覆盖的地表采用密闭箱法测定的N2O 通量可能偏低本实验中在冬小麦田测定的Fm F c 大于在玉米田的观测值表1表明冬小麦冠层释放N2O 的量大于夏玉米冠层的释放量冬小麦蒸腾速率与夏玉米相当但由于冬小麦的须根系分布较夏玉米直根系要深它可以把更多深层土壤产生的N2O 通过蒸腾液流输送到大气中Christensen等14发现在麦茬地N2O 主要生成于75105c m深处的土层中由于我们在农田通常采用大水漫灌很多养分NO-3被淋溶到深层土壤在那里微生物的反硝化作用可能还较活跃本实验中的农田为轻壤土通气性不如砂土深层土壤中生成的N2O 在向地表传输时很多又被反硝化作用进一步还原成N2当土壤含水量较高时更是如此因此可能相当一部分N2O是通过植物释放到大气中的本研究提供了植物冠层在自然状态下释放N2O 的间接证据植物释放的N2O 可能就是多年来一直困惑人们的丢失的N2O 源2.3.3土壤大气界面的边界层阻力在靠近土壤表面几厘米的空气层中有一种称之为微边界层的浅薄层在那里分子扩散超过了湍流输送31根据F ick扩散定律微层中N2O 的通量Fs可表述为F s=1d a Ca Z8式中d为分子扩散阻力a C为表层土壤孔隙与微层空气中N2O 的浓度差a Z为高度差在微边界层以上湍流输送超过了分子扩散其阻力比分子扩散阻力要小好几个量级31N2O 湍流输送的平均通量可由公式3描述扣箱破坏了被测表面上空气的自然湍流状态明显改变了地面与大气间的气体交换与自由表面不同箱子使被罩表面的微边界层增至几十厘米箱子高度箱内的边界层阻力分子扩散阻力比箱外同高度的边界层阻力湍流输送阻力要大箱子越高大得越多箱子增高后a Z增大a C则变化不大N2O通量变小此外在土壤表面由湍流运动引起的气压波动可能对土壤孔隙中的气流产生影响3233扣箱可能减少或改变了箱内气压波动对表层土壤的一种泵送作用p u m p i n g acti on从而使土壤N2O通量的测定结果偏低34以上分析没有考虑箱内风扇的作用在实际观测中风扇的转动将箱内气体混合均匀可减少土壤大气界面N2O的边界层阻力但同时也使箱内气流状况变得复杂并与箱外自由表面上空气的湍流运动迥然不同不同功率的电扇不同的送风方向对箱内气流状况的影响是不同的其对N2O排放的影响需要更精细的实验加以确定3结论综上所述我们得出以下结论1空气动力学方法与波文比能量平衡法的计算结果在冬小麦田较为接近在夏玉米田则相差较大夏玉米冠层上方温湿梯度的细微变化可导致能量平衡法计算的N2O通量发生较大离散从而与空气动力学方法的计算结果产生较大偏差2观测期间微气象法和密闭箱法测定的农田N2O日平均通量在夏玉米田分别为1837和8 5n g N m-2s-1在冬小麦田分别为4321和61n g N m-2s-1在夏玉米田和冬小麦田微气象法测定的N2O通量分别为密闭箱法测定值的2.4和7倍3微气象法测定的农田N2O通量高于密闭箱法的观测值由此推测作物冠层可释放N2O其机制可能是土壤中生成的N2O被作物的蒸腾液流输送到大气中微气象法和密闭箱法测定的N2O通量间的差异在冬小麦田大于夏玉米田表明冬小麦释放N2O的量大于夏玉米这可能是冬小麦根系分布较夏玉米深的缘故4采用密闭箱法观测时箱内气温发生变化半小时内最高可增加10因地温变化小其对土壤中N2O的生成并无显著影响由于密闭箱法观测忽略或低估了植物释放的N2O且箱内的边界层阻力可能高于箱外其测定的地表N2O通量偏小密闭箱法自身的缺陷限制了其结果的准确性和代表性不过由于密闭箱法简单易行它在土壤N2O排放的小区对比观测中仍将发挥着不可替代的李俊于沪宁于强等地学前缘(E art h S cience F rontiers)2002,9(2)383作用用微气象法测定N2O 通量时应采用高精度和快速响应的气体分析仪器如TDLAS和FT I R以提高N2O 浓度和通量观测的精度和效率在各种微气象方法中涡度相关法是通过直接测量温度风速和气体浓度的脉动来确定其能量物质通量的其测定N2O 通量的结果将成为其他微气象方法观测的标准目前有关植物排放N2O 的观测几乎都是在室内控制条件下进行的应在野外自然条件下开展对植物冠层释放N2O 的直接观测并深入研究其释放机制确定其量值以期最终解决丢失的N2O 源的问题在实验及论文撰写过程中得到我的同事及师长董云社!房金福!胡朝炳!曾江海!王天铎!项月琴!孙晓敏研究员以及刘苏峡!张国梁副研究员的热情帮助"特此致谢#谨以此文悼念已故恩师张翼研究员#R eferences!参考文献"#1I PCC.Radiati ve f orci n g of c1i m ate chan g e and an eva1uati on of t he I PCAC IS92e m issi on scenari o A.HOUGHTON J T.C li m aIe Cha1g e M.C a m bri d g e UK C a m bri d g e Uni versit yPress1994.2BRUMM E R BEESE F.E ff ect of1i m i n g and nitro g en f erti1i-Zati on on e m issi ons of CO2and N2O f ro m a te m p erate f orestJ.J G eO p h S s R es199********-12858.3MO S I ER A R HE I NE M EYER O.Current m et hods used t o esti m ate N2O and N2e m issi ons f ro m fie1d so i1s A.GOL-TER MAR I H L.D e1iI i f icaIiO1i1Ihe N iI O g e1C S cle M.1985.79-99.4LE MON E R.C riti]ue of S o i1and ot her source of nitrous oXi de nitrous oXi de N2O eXchan g e i n t he environ 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溶剂化电子研究的前沿进展
第39卷第1期2021年2月辐射研究与辐射工艺学报J.Radiat.Res.Radiat.Process./fushe/CN/volumn/home.shtmlV ol.39 No.1February2021溶剂化电子研究的前沿进展胡长江马骏(南京航空航天大学材料科学与技术学院南京230026)摘要溶剂化电子是自然界中最小的阴离子和最强的还原性粒子,也是辐射化学反应过程中重要的活性物质。
溶剂化电子的研究将为溶液自由基反应、乏燃料后处理中溶剂与萃取剂的辐射化学、生命过程的电荷转移与电荷传输等领域提供关键信息,因此是有机化学、无机化学、辐射化学和放射生物学研究中的重要课题。
近年来,随着短脉冲激光技术的新一轮革命,有关溶剂化电子的研究迎来了新的一轮爆发增长期。
为此,本文力图概述当前溶剂化电子研究的前沿进展,主要内容涉及溶剂化电子结合能的测定、溶剂化电子的表面态以及预溶剂化电子和准自由电子与核苷酸分子的反应动力学等。
关键词溶剂化电子,结合能,液相光电子能谱法,脉冲辐解中图分类号TL13DOI:10.11889/j.1000-3436.2021.rrj.39.010101An overview of solvated electrons:recent advancesHU Changjiang MA Jun(College of Materials Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing230026,China)ABSTRACT Solvated electrons are the smallest and most reductive particles in nature,and also are the importantreactive species in radiation chemistry.The study of solvated electrons will provide key information for the field offree-radical reactions,the radiation effects of solvents and extractants in spent fuel post-treatment,and electrontransfer and transport occuring in life activities etc.Therefore,it has been a subject of intense interests in disciplinesof organic chemistry,inorganic chemistry,radiation chemistry and radiation biology.Owning to the accelaratedadvances achievied in ultrashort pulse laser technology,there has been an increasing understanding solvated electronin recent years.This paper will briefly introduce the context of these updated knowledges.It includes the study ofdetermination of the binding energy of solvated electrons,the surface-bound states of solvated electrons,and thekinetics of pre-solvated electrons and quasi-free electrons with nucleotide molecules in solutions.KEYWORDS Solvated electron,Binding energy,Photoelectron spectroscopy,Pulse radiolysisCLC TL13溶剂化电子(Solvated electron,esol‒)是与其周围溶剂分子形成平衡态构型的定域化(陷落)基金资助:国家自然科学基金(11975122、21906083)和江苏省自然科学基金(BK2019030384)资助第一作者:胡长江,男,1993年7月出生,2019年于三峡大学材料与化工学院获硕士学位,现为南京航空航天大学博士研究生通信作者:马骏,博士,教授,E-mail:**************.cn收稿日期:初稿2020-09-25;修回2020-11-20Supported by National Natural Science Foundation of China(11975122,21906083)and Natural Science Foundation of Jiangsu Province(BK2019030384)First author:HU Changjiang(male)was born in July1993,and obtainted his master’s degree from College of Materials and Chemical Engineering,Three Gorges University in2019.Now he is a graduate student at Nanjing University of Aeronautics and AstronauticsCorresponding author:MA Jun,doctoral degree,professor,E-mail:**************.cnReceived25September2020;accepted20November2020辐射研究与辐射工艺学报2021 39:010101电子。
森林生态系统碳氮循环功能耦合研究综述
生态 学报 ACTA ECOLOGICA SINICA
Vol. 26, No. 7碳氮循环功能耦合研究综述
项文化, 黄志宏, 闫文德, 田大伦, 雷丕锋
( 中南林业科技大学生态研究室, 长沙 410004)
摘要: 在大气 CO2 浓度升高和氮沉降增加等全球变化背景 下, 森 林生态 系统减 缓 CO2 浓度升 高的作 用及其 对全球 变化的 响应 和反馈存在诸多不确定性。森林生态系统碳氮循环相互作用及功能耦 合规律的研 究是揭示这 些不确定 性的基础, 也是反 映森 林生态系统生物产量与养分之间作用规 律, 涉及林 地持 久生 产力( sustainability of long- term site productivity) 的生态 学机 理问题。 森林生态系统碳氮循环的耦合作用表现在林冠层光合作用的碳固定过 程, 森 林植物组 织呼吸、土壤凋落 物与土壤 有机质分解、 地下部分根系周转与呼吸等碳释放过程, 这些 过程存在反馈机理和非线性作用, 最终决定森林生态 系统的碳平衡。着重在生态 系统尺度上, 综述了碳氮循环耦合作用研究的 一些进展与存在的问题, 对今后研究方向进行了展望 。 关键词: 森林生态系统; 碳循环; 氮循环; 非线性作用; 功能耦合 文章编号: 1000-0933( 2006) 07-2365-08 中图分类号: S7181 55 文献标识码: A
生态系统碳 氮获 取能 力对生 物有 机体 生物 量维 持和 构建 十分 重要[ 11] 。 生态 化学 计量 学 ( ecological stoichiometry) 原理表明, 有机体中碳氮维持一定的比例关系[1, 12] 。氮是生物化学反应酶、细胞复制和大分子蛋 白质的重要组成元素, 有机物质的形成需要一定数量的氮, 植物吸收同化碳、氮的过程密切相关[ 13] 。但不同 有机体的碳氮比( CPN) 因其氮含量不同而异, 如植物组织主要由纤维素和木质素组成, 其 CPN 较高, 在 200~ 1000 之间; 土壤有机质是由死微生物体、无机氮和活的有机分子构成, 其 CPN 较低。CPN 可以用作反映植物养 分利用效率的指标, 控制植物碳生产( carbon production) 与养分吸收、植物向土壤归还有机物质与养分过程[ 12] , 对生态系统中碳氮利用、贮存和转移起着决定作用[ 1] 。因此, 森林生态系统中碳循环与氮循环紧密相连, 表现 出相互耦合作用[ 14, 15] 。
Biogenic volatile organic compound emissions in relation to plant carbon fixation
Landscape and Urban Planning 119 (2013) 74–84Contents lists available at ScienceDirectLandscape and UrbanPlanningj o u r n a l h o m e p a g e :w w w.e l s e v i e r.c o m /l o c a t e /l a n d u r b p l anResearchPaperBiogenic volatile organic compound emissions in relation to plant carbon fixation in a subtropical urban–rural complexPeipei Guo a ,Kejian Guo a ,Yuan Ren a ,Yan Shi a ,Jie Chang a ,Akira Tani b ,Ying Ge a ,∗a College of Life Sciences,Zhejiang University,866Yuhangtang Road,Zhejiang Province,Hangzhou 310058,PR China bInstitute for Environmental Sciences,University of Shizuoka,52-1Yada,Shizuoka 422-78526,Japanh i g h l i g h t s•Bamboo forest is the major contrib-utor to the BVOC emissions also an important loss of carbon in low-latitude subtropical Ningbo.•Contribution of carbon emitted as BVOC to NPP (BVOC/NPP ratio)for built-up areas is higher than rural forests (excluding bamboo forest).•BVOC/NPP ratios between native and exotic tree species exhibit no signifi-cant difference.•G.biloba ,L.chinensis and S.mukorossi are the top three tree species with beneficial BVOC/NPP ratios in sub-tropical urban area.•BVOC/NPP ratios increase with a drop in latitude.g r a p h i c a la b s t r a cta r t i c l ei n f oArticle history:Received 10December 2012Received in revised form 20June 2013Accepted 9July 2013Available online 31 July 2013Keywords:Greenspace Tree Forest IsopreneMonoterpenesa b s t r a c tChanges in vegetation coverage and species composition have contributed to the alteration in bio-genic volatile organic compounds (BVOC)emissions,which are regarded as losses of photosynthetically fixed carbon.This study estimates the amount of BVOCs carbon emitted in relation to carbon fixation for the built-up areas and rural forests in a subtropical urban–rural complex.Urban greenspace was subdivided into block greenspace and linear greenspace,while rural areas were characterized by four forest types.A field survey was conducted to assess the vegetation composition,biomass and foliar mass for each tree species.Results showed (1)the emissions intensity of BVOC in the greater Ningbo area is 4.48×106g C km −2yr -1,the average emission intensity of the greenspace in the built-up areas (2.86×106g C km −2yr −1)is higher than rural forests excluding bamboo forest (2.66×106g C km −2yr −1);(2)the contribution of carbon emitted as BVOCs to net primary production (NPP)(BVOCs/NPP ratio)is about 4.3%,with 1.8%for the built-up areas which is lower than that for rural forests including bamboo for-est (4.4%),but higher than rural forests excluding bamboo forest (0.96%);(3)the BVOCs/NPP ratio between native and exotic tree species exhibits no significant difference.The results suggest that BVOC emissions can be reduced while carbon sequestration can be increased by planting trees with low-emitting but high carbon fixation capacity in built-up areas,and by reducing bamboo forest while restoring broad-leaved forest in rural forests.© 2013 Elsevier B.V. All rights reserved.∗Corresponding author.Tel.:+8657188206465;fax:+8657188206465.E-mail addresses:guokejian07@ (K.Guo),renyuanawj@ (Y.Ren),syan2050@ (Y.Shi),jchang@ (J.Chang),atani@wing.ncc.u-tokai.ac.jp (A.Tani),geying@ (Y.Ge).0169-2046/$–see front matter © 2013 Elsevier B.V. All rights reserved./10.1016/ndurbplan.2013.07.003P.Guo et al./Landscape and Urban Planning119 (2013) 74–84751.IntroductionA substantial amount of carbon is emitted by terrestrial vegeta-tion as biogenic volatile organic compounds(BVOCs)(Kesselmeier, 2002).As an important precursor for tropospheric ozone(Wang, Bai,&Zhang,2003),increases in BVOC emissions will lead to higher concentrations of secondary organic aerosols,which contribute to the formation of particulate matter(PM)affecting air quality. BVOCs are also potent greenhouse gases and significant air pollut-ants(Wu,Mickley,Kaplan,&Jacob,2012).Previous studies have provided biogenic emission inventories from regional to global scales based on empirical models(Guenther et al.,2006;Gulden &Yang,2006).Some researchers recommend using trees with low biogenic emissions to improve air quality in urban areas(Simpson &McPherson,2011).In recent decades,BVOCs have been consid-ered to contribute significantly to the loss of photosynthetically fixed carbon(Kesselmeier,2002;Pe˜nuelas&Staudt,2010)and should be considered in the analyses of carbon budgets(Guenther, 2002).A considerable percentage(as much as10%)of photosynthesis assimilated carbon are released back into the atmosphere in the form of BVOCs(Langford et al.,2010),with isoprene and monoter-penes being the most prominent ones(Kesselmeier&Staudt, 1999).The carbon released as a plant/atmosphere VOC exchange is related to the uptake of CO2( primary production,NPP) (Kesselmeier,2002).Some research has shown that the carbon lost as BVOCs accounts for about2%of the NPP for most plants at the species level,even reach higher values of15–50%under certain con-ditions(Harley,Monson,&Lerdau,1999;Sharkey&Loreto,1993). It is estimated that the predicted annual global BVOC emissions of about1.2Pg C would result in the annual production of approxi-mately1.0Pg C as CO2per year(Guenther,2002).In general,the emissions of BVOC are highly species spe-cific(Kesselmeier&Staudt,1999),and have obvious temporal and spatial variability,as the emissions depend on geographi-cal position and environmental factors,mainly temperature and photosynthetically active radiation(PAR)(Guenther,Zimmerman, Harley,Monson,&Fall,1993;Kesselmeier&Staudt,1999).In addi-tion,there are many other factors influencing biogenic emissions, including land use changes,increasing atmospheric CO2concentra-tions and enhanced UV radiation,etc.(Pe˜nuelas&Staudt,2010).The changes in emissions can lead to unforeseeable consequences for the biosphere’s structure and function,and could become an even more significant component in local and regional carbon budgets as they increase in response to global changes in climate(Pe˜nuelas &Staudt,2010).Urbanization involves one of the most extreme forms of land use change which leads to a radical change in the structure of vegeta-tion and its species composition(Shochat,Warren,Faeth,McIntyre, &Hope,2006).Compared with rural forests,urban areas are gen-erally covered with a different set of species(Smith,Thompson, Hodgson,Warren,&Gaston,2006).Most of the plant species in urban areas have been selected for their ornamental character-istics and many ornamental plants are strong emitters of BVOCs (Niinemets&Pe˜nuelas,2008).Furthermore,because trees grown in urban areas are generally separated far from each other,with most leaves exposed to high light,the BVOC emissions are much greater than for shaded leaves(Guenther et al.,1995).Due to the urban-heat-island effect,urbanized areas experience higher temperatures than natural areas(Luo,Sun,Ge,Xu,&Zheng,2007).In addition to the effect of landscape management,all these factors contribute to higher tree production than in the surrounding uncultivated land (Kaye,Mcculley,&Burke,2005).Several studies have estimated BVOC emissions in urban areas(Chang et al.,2012;Karl et al.,2004), yet the contribution of biogenic emissions to the carbon cycle for urban areas have not been given due consideration.As a typical city undergoing rapid urbanization,the built-up area in Ningbo increased from152km2in2002to450km2in2012 (Ningbo Statistical YearBook,2012).This rapid expansion of the urban area has contributed to the change of vegetation coverage and composition,and regional air quality and the carbon cycle are therefore affected(Chang et al.,2012;Shochat et al.,2006).Using a stratified random sampling design,we conductedfield surveys for urban vegetation to get a more accurate vegetation data.The aim of our research was(1)to analyze differences of BVOCs/NPP ratios among tree species in a subtropical urban–rural complex, (2)to compare BVOCs/NPP ratios among different types of urban greenspace with rural forests,and(3)to discuss the limitations and uncertainties in the study as well as contributing to a better understanding of the role of BVOCs emitted in the carbon cycle ina subtropical urban–rural complex.2.Study site and methods2.1.Study siteThis study was conducted in Ningbo area(lat28◦51 N–30◦33 N, long120◦55 E–122◦16 E)(Fig.1),located at the center of the east-ern coast of China.Ningbo is a typical city that is undergoing rapid urbanization,has a land area of9816km2and a total pop-ulation of7.6million(Ningbo Statistical YearBook,2012).Ningbo has a northern subtropical monsoon climate with an annual aver-age temperature of16.2◦C,with the highest in July of28.1◦C and lowest in January of−4.2◦C.The annual average precipitation is approximately1375mm,most of which is concentrated between the months of May and September.The urban landforms are hills densely covered with river networks.The area can be divided into three parts withflood plain and river networks in the mid-dle area,hilly regions in the southwest and east and a coastal area in the east.The entire urban forest system covers an area of 361,620ha with forest coverage of50.2%.The main tree species include Cinnamomum camphora(Linn.),Koelreuteria integrifoliola, Elaeocarpus sylvestris(Lour.),Salix babylonica(Linn.),Magnolia gran-diflora(Linn.)for the built-up area,rand Pinus massoniana(Lamb), Phyllostachys pubescen(Mazel),Cunninghamia lanceolata(Lamb.) Hook.,Castanopsis carlesii(Hemsl.),Schima superba(Gardn)and Lithocarpus glaber(Thunb.)for the rural forests.2.2.Sampling designStratified random sample method(Nowak,Walton,Stevens, Crane,&Hoehn,2008)was used to investigate the urban vege-tation of Ningbo.The category“general greenspace”can cover a wide variety of habitat structures(e.g.recreational areas,clumps of trees,patches of grassland,green corridors along roads and rivers). In built-up areas,the greenspace was classified as two types:block greenspace(such as public parks and residential greenspace),and linear greenspace(such as street trees and riparian greenspace). Field data were collected from206plots,126random samples for the block greenspace(30m×30m)and80for the linear greenspace (40m×10m).The sample number is comparable to the recom-mended200plots for an urban vegetation survey(Nowak et al., 2008).For the outer suburban forest,264plots(20m×20m)were established to record species composition,tree density and the characteristics of each forest type.There are four main forest types: evergreen broad-leaved forest,P.massoniana and other temperate pine forest,nceolata forest and bamboo forest.Aerial images taken in2010were used to stratify ourfield samples and to deter-mine the center point of each sample plot.We used Garmin60CXs GPS to locate the plot centers.All live trees larger than5cm in diam-eter at breast height(DBH)were surveyed within each plot.Tree76P.Guo et al./Landscape and Urban Planning 119 (2013) 74–84nd use in the Ningbo area and its geographic location.height (H ),DBH (measured at 1.3m),crown shape,crown width and height-to-crown base were recorded for each tree.A total of 5157individual trees were measured in our field survey.All field samplings were conducted during the summer of 2010.2.3.Calculating emissionsThe BVOC emissions for each tree species were calculated from mass-based emission factors [g C g (leaf dry mass)−1h −1]under standard conditions [30◦C and 1000mol m −2s −1of pho-tosynthetically active radiation (PAR)],environmentally adjusted for hourly changes in air temperature and solar radiation using emission algorithms (Guenther et al.,1993;Harley,Fridd-Stroud,Greenberg,Guenther,&Vasconcellos,1998).The meteorological data of hourly solar radiation and temperature in rural forest for the period from 1January to 31December 2010were pro-vided by the Environmental Monitoring Centre of Tiantong NationalStation of Forest Ecosystem.The temperature data in the built-up area were at daily resolution.And the differential values of daily temperature between the built-up area and Tiantong National Station were calculated.Then we obtained the hourly temper-ature data in the built-up area by adding the daily differential values to the base of the data in Tiantong National Station.The hourly PAR data of the built-up area were assumed to be the same as the values of measurement in Tiantong National Sta-tion.The BVOC emissions potential obtained from the literature for a subtropical area was assigned to each tree species on the basis of the taxonomic approach (Tsui,Guenther,Yip,&Chen,2008).As the main emphasis in quantitative BVOCs studies has been on the constitutive emissions of isoprene and monoterpenes in certain emitting plant species (Niinemets,2010),we estimated the BVOC emissions in three categories:isoprene,monoterpenes and Other VOCs (OVOCs).The basic method of estimating BVOC emissions canP.Guo et al./Landscape and Urban Planning119 (2013) 74–8477 be described by the following equations(Guenther,1997;Guentheret al.,1993).Isoprene emission(E)was quantified asE=εD T P S(1)whereεis the emission potential[g C g−1(leaf dry mass)−1h−1]at30◦C and1000mol m−2s−1;D is the peak leaf dry mass(g);andT, P,and S are environmental correction factors accounting forthe influence of temperature,light intensity,and seasonal variationon isoprene emissions,respectively.Due to the lack of informationregarding the light dependency of monoterpene emissions for thisstudy area,we assumed monoterpenes and OVOCs emissions werelight independent,and the emissions were quantified asE=εD T S(2)The influence of temperature( T)for isoprene was calculatedasT=E opt C T2exp(C T1x)C T2−C T1[1−exp(C T2x)](3)where x=[(1/T opt)−(1/T)]/R;E opt(1.9)is the maximum normal-ized emission capacity;T opt(312.5K)is the temperature at which E opt occurs;T is the current temperature(K);R is the gas constant(8.314J k−1mol−1);and the empirical coefficients C T1 (95,000J mol−1)and C T2(230,000J mol−1)represent the energy of activation and deactivation,respectively.For monoterpenes and other VOCs, T was calculated as:T=exp[ˇ(T−T S)](4) whereˇis an empirical coefficient set at0.09K−1;T is the current temperature(K);and T s is the standard temperature(303K).Light dependence( P)was defined byP=˛C L Q1+˛2Q20.5(5)where˛=0.001+0.00085LAI,C L=1.42exp(−0.3LAI),and Q is equal to the current light intensity(PAR).All tree species for each greenspace type share a single value of LAI,which was obtained from the ratio of total leaf area(LA)of all trees to the areas of all plots in each greenspace type.The LA value was obtained from dry leaf mass(LM)by multiplying the specific leaf area(SLA)obtained from leaf samples(Chang et al.,2012).In rural areas,the LAI of the four primary forest types was measured with the use of a Plant Canopy Analyzer(LAI2000,LI-COR,USA).Calculation of the season-ality correction factor( S)was based on the results of Staudt,Bertin, Frenzel,&Seufert(2000)and discussed by Steinbrecher et al.(2009)S=1−1−exp−(D−D0)2(6)where D is the month,D0is the month with the maximum emis-sion rate(which was August in2010for Ningbo), is the length of the emission-active season in months,and is the ratio of the annual emission amplitude and the maximum emission rate.Based on our phenological observations conducted in the year2009, =7 for deciduous species and =12for evergreen species.For decidu-ous plants,εmin was assigned a value of zero,and a default value of =0.8has been estimated for all other tree species,as the annual minimum of the emission factors is not known for most of the plant species.2.4.NPP estimationNet primary productivity(NPP)is defined as the production of new dry-matter by primary producers over a specific period (Chapin,Woodwell,&Randerson,2006)and is an important integrated measure of the resource effects on forest ecosystem functions(Vasconcelos,Zarin,Araújo,&Miranda,2012).NPP is the estimation of annual biomass increment,litterfall and consump-tion by herbivorous animals(Clark et al.,2001;Ito,2011).The NPP of trees is calculated as follows:NPP= W+LF+HB(7) where W is the net increment of plant biomass,LF is litterfall and HB is consumption by herbivorous animals.For urban trees with landscape management,consumption by animals is small,so for this study,this category was estimated to be0.To estimate tree biomass,we used published allometric equa-tions relating plant diameter to dry mass.Species specific equations were used where possible,including C.camphora,P.tomentosa, M.glyptostro,S.babylonica,S.mukurossi,G.biloba,C.deodara,K. integrifoliola,E.sylvestris and P.acerifolia.For other species where allometric equations were unavailable,biomass was calculated using equations for other species in the same genus or generic equa-tions of deciduous trees and coniferous trees(Wen et al.,2010). One half of live plant biomass was assumed to be carbon.The aver-age growths in diameter of specific tree species in the study area were measured to estimate the annual tree biomass increment (Kaye,Mcculley,&Burke,2005).Tree cores from126sample trees in the plots were extracted at DBH using a handled5mm diame-ter borer(Increment Borer300,Switzerland)following the method described by Phipps(1985).Only trees in general good health and abundance were chosen for the study.Four to six trees for each species were selected.We measured the DBH of the last year with the core.The height in thefinal year was acquired by linear regres-sion of DBH and height(Jo&McPherson,1995).The annual biomass increment was estimated with the use of allometric equations.We used peak value of leaf biomass instead of litterfall and a volumet-ric approach(Karlik&Winer,1999)was used to estimate the leaf biomass.In this study,monthly net photosynthesis(PSNnet)data of2010 provided by the MODIS(Moderate Resolution Imaging Spectrora-diometer)instrument onboard NASA’s satellite Terra was used to estimate the monthly pattern of carbonfixing.By using MOD17A2 product,the monthly PSNnet was calculated by adding up all the PSNnet values for each pixel at1km spatial resolution,and the analysis was done under the aid of ArcGIS9.3.3.Results3.1.BVOCs emitted in relation to NPP for primary tree specieswithin Ningbo cityBVOC emissions compared with the NPP for individual trees of the primary species in Ningbo are shown in Fig.2.A weighted mean value was assigned for species that were found in more than one type of greenspace.There is a large difference in BVOC emissions between different tree species.The main species within the study area,P.tomentosa had the highest BVOC emis-sions potential(1610g C tree−1yr−1),followed by S.babylonica (1142g C tree−1yr−1)being two orders of magnitude higher than S.mukurossi.The native species,C.camphora(accounting for21% of all trees)exhibits lower emissions of242g C tree−1yr−1.While the BVOC emissions per leaf dry mass of the main tree species exhibit different order,S.babylonica was the highest emitter for per unit leaf dry mass(251g C kg−1yr−1),followed by L.for-mosana(171g C kg−1yr−1)and P.tomentosa(161g C kg−1yr−1),S. mukurossi had the lowest BVOC emissions with an intensity of 6.8g C kg−1yr−1.As for the emission patterns,P.tomentosa and S. babylonica were the main contributors of isoprene,while a few78P.Guo et al./Landscape and Urban Planning119 (2013) 74–84Fig.2.(a)Individual emission potentials,(b)Individual net primary production (NPP),and(c)BVOCs carbon loss in relation to NPP for the main species in the built-up area of Ningbo.(bp:Bischofia polycarpa;cc:Cinnamomum camphora;cd: Cedrus deodara;es:Elaeocarpus sylvestris;gb:Ginkgo biloba;ki:Koelreuteria integri-foliola;lc:Liriodendron chinensis;lf:Liquidambar formosana mc:Michelia chapensis; md:Magnolia denudate;mgl:Metasequoia glyptostroboides;mgr:Magnolia grandi-flora;of:Osmanthus fragrans;pa:Platanus acerifolia;pt:Populus tomentosa;sb:Salix babylonica;sj:Sophora japonica;sm:Sapindus mukurossi;ss:Sapium sebiferum;tf: Trachycarpus fortune;zs:Zelkova serrate).species such as M.grandiflora,C.camphora were high monoterpene emitters.The native species of L.formosana showed the highest BVOCs/NPP ratio of9.8%,followed by the exotic species P.tomentosa (9.2%),and native species T.fortune(7.3%)and S.babylonica(6.8%). The exotic tree species,C.deodara,P.acerifolia,M.grandiflora and S. japonica showed a BVOCs/NPP ratio range of1.3–6%(Fig.2c).3.2.BVOC emissions and NPP for greenspace and rural forestsThe proportion of C.camphora was highest in both types of greenspace(Table1).In the linear greenspace,C.camphora con-tributed30%of the BVOC emissions and40%of the NPP,with a proportion of28%of the total number of trees.However S.baby-lonica which accounted for6.6%of the trees contributed higher BVOC emissions at33%but a lower NPP contribution(8%), C. camphora in the block greenspace,accounting for11%of trees,con-tributed17%of the BVOCs and20%of the NPP and a similar situation was found in the linear greenspace.S.babylonica exhibited twice the emission of C.camphora but only half of C.camphora’s NPP (Table2).BVOC emissions in the built-up area were mainly isoprene, accounting for45%of the total emissions,followed by monoter-penes at39%(Table3).Isoprene also showed the highest proportion of total emissions at85%in the rural forest,with the bamboo forest contributing97%of total isoprene emission.Intensity of BVOC emissions in the two types of greenspace in the built-up area were significantly different from each other (P<0.05).The block greenspace was stronger emitters of BVOCs and exhibited higher emission intensity(4.15Mg C km−2yr−1;95% confidence interval(CI)=3.85–4.51Mg C km−2yr−1)than the linear greenspace(2.33Mg C km−2yr−1;95%CI=1.98–2.67).The average emission intensity in urban greenspace at(2.86Mg C km−2yr−1; 95%CI=2.28–3.34)was lower than rural forests which aver-aged(12.5Mg C km−2yr−1;95%CI=9.8–15.3),but was higher than rural forests excluding bamboo forest at(2.66Mg C km−2yr−1;95% CI=2.24–3.08).The annual BVOC emissions for the rural forests were43,620Mg C yr−1(95%CI=38,175–47,732),with the bamboo forest contributing84%,with a high BVOCs/NPP ratio of13.5%(95% CI=12.3–15.2).The block greenspace had higher BVOCs/NPP ratio than the linear greenspace.The BVOCs/NPP ratio in the built-up area(1.8%;95%CI=1.5–2.2)is lower than that in rural forests(4.4%; 95%CI=3.5–5.3),but higher than rural forests excluding bamboo forest(0.96%;95%CI=0.75–1.17).The evergreen broad-leaved for-est showed the lowest BVOC emissions and lowest BVOCs/NPP ratio(Table4):0.51%(95%CI=0.46–0.61),but the highest NPP of 417Mg C km−2yr−1(95%CI=352–479).3.3.Diurnal and seasonal variations for BVOC emissionsBVOC emissions in the built-up area showed a significant diur-nal variation(Fig.3).As the emission of isoprene depends upon the solar radiation pattern,it occurred only in daytime with a peak value at midday,while the monoterpenes and OVOCs emis-sions showed slight diurnal variations because of the assumption that these emissions occurred also in the dark.Diurnal emis-sion patterns for January and August showed a similar pattern, while the peak value in August was much higher than that in January.A significant monthly variation in simulated BVOC emissions is shown in Fig.4for the built-up area and in Fig.5a for the entire urban–rural complex.The largest emission was recorded in the summer months,from July to August,because the highest temperatures and PAR were experienced during these two months (Fig.6).Also leaf biomass reach its peak value in August,whereas there is no foliage left on deciduous trees in winter(December, January and February).There was a similar monthly behavior of BVOC emissions for both the linear and block greenspace besides the change in total amount.Proportions of the emitted compounds varied over different months.There were almost no isoprene emis-sions in winter and early spring(Fig.4).Isoprene emission had a significant seasonal change depending on PAR and temperature.In addition to the modeled seasonality of BVOC emissions, there was also a strong seasonal cycle in the ratio between BVOCs carbon loss and photosynthesis carbon assimilation(PSNnet)for this subtropical city(Fig.5b).A clear seasonal maximum is seen during the summer months,from July to August.Ourfindings for this subtropical urban–rural complex highlight the importance ofP.Guo et al./Landscape and Urban Planning119 (2013) 74–8479 Table1Primary tree species in different greenspace in the built-up area of Ningbo.Tree species Linear greenspace(%)Block greenspace(%)Species proportion a Cumulative contribution Species proportion a Cumulativecontribution cc28.1228.1211.3311.33ki10.8038.92 4.5115.84es7.6646.588.0723.91gb7.2453.83 5.4429.34sb 6.5760.40 5.0834.42sm 5.6366.03 6.0540.48md 3.5969.62 4.5345.01lc 3.4273.04 2.4347.44mgl 3.1976.23 4.6752.11mgr 3.0279.26 5.5257.63ss 2.2281.47 1.3959.02zs 1.0682.53 1.4460.46pa 1.0885.380.5260.98sj0.9884.60 1.0462.02bp0.7885.380.6462.66pt0.4385.810.0462.70of0.3786.18 6.4569.15mc0.3686.54 5.3874.53cd0.2986.83 2.2576.78tf0.1787.00 2.2579.03lf0.0587.05 1.9280.95a The percentage of each tree species in relation to all trees.(bp:Bischofia polycarpa;cc:Cinnamomum camphora;cd:Cedrus deodara;es:Elaeocarpus sylvestris;gb:Ginkgo biloba;ki:Koelreuteria integrifoliola;lc:Liriodendron chinensis;lf:Liquidambar formosana mc:Michelia chapensis;md:Magnolia denudate;mgl:Metasequoia glyptostroboides; mgr:Magnolia grandiflora;of:Osmanthus fragrans;pa:Platanus acerifolia;pt:Populus tomentosa;sb:Salix babylonica;sj:Sophora japonica;sm:Sapindus mukurossi;ss:Sapium sebiferum;tf:Trachycarpus fortune;zs:Zelkova serrate)Table2BVOC emissions and NPP for primary trees in the built-up area in Ningbo.Tree species BVOC emissions a BVOC emissions(%)NPP b NPP(%)Contribution to total emissions Cumulative contribution Contribution to total NPP CumulativecontributionLinear greenspacecc63.7830.0430.0451.3240.0040.00ki 6.66 3.1433.1812.709.9049.89es21.6310.1943.37 6.43 5.0154.90gb 3.62 1.7045.089.857.6862.58sb70.2533.0978.1710.207.9570.53sm 2.33 1.1079.27 4.57 3.5674.09md 2.84 1.3480.60 4.87 3.8077.89lc 2.39 1.1381.730.780.1778.06mgl 4.23 1.9983.72 3.98 3.1081.16mgr 2.72 1.2885.00 4.55 3.5584.71ss 2.51 1.1886.19 2.42 1.8986.60zs0.680.3286.51 1.170.9187.51pa 2.97 1.4087.91 1.66 1.2988.80sj 5.80 2.7390.640.970.7689.55bp 1.170.5591.19 1.45 1.1390.68pt 6.50 3.0694.250.700.5591.23Block greenspacecc25.0716.8516.8520.1720.2620.26es22.2114.9331.78 6.60 6.6326.89of 2.79 1.8733.65 2.39 2.4029.29sm 2.44 1.6435.29 5.17 5.1934.48mgr 4.82 3.2438.538.088.1142.59gb 2.65 1.7840.317.217.2549.84ps 2.55 1.7242.03 2.95 2.9652.80sb53.0035.6377.667.707.7360.53mgl 6.05 4.0681.72 5.68 5.7166.23md 3.49 2.3584.07 5.99 6.0272.25ki 2.71 1.8285.89 4.79 4.8177.06lc 1.66 1.1187.000.540.4877.54cd 2.74 1.8488.84 2.11 2.1279.66tf 4.72 3.1792.010.640.6480.31lf 1.70 1.1493.16 1.99 2.0082.31a Total BVOC emissions of each tree species(t C yr−1).b NPP of each tree species(108g C yr−1).80P.Guo et al./Landscape and Urban Planning119 (2013) 74–84Table3BVOC emissions categories for trees in urban greenspace and rural forests in Ningbo.Landscape types Amount(g C yr−1)Intensity(g C km−2yr−1)Isoprene Total monoterpenes Other VOCs Isoprene Total monoterpenes Other VOCsUrban greenspaceLinear greenspace 1.03×1080.84×1080.35×108 1.08×1060.88×1060.37×106 Block greenspace0.82×1080.75×1080.28×108 1.84×106 1.68×1060.63×106 Rural forestsBamboo forest36.0×10900.61×10942.5×10600.72×106 P.massoniana and other temperate pine forest 2.17×109 2.30×1090.62×109 1.31×106 1.39×1060.37×106 Evergreen broad-leaved forest 1.27×1090.06×1090.29×109 1.67×1060.08×1060.38×106 nceolata forest0.13×1090.15×1090.02×1090.59×1060.68×1060.09×105taking seasonal behavior into account in any calculation of trace gas exchange for low-latitude subtropical areas.4.Discussion4.1.BVOCs carbon loss in relation to NPP for native and exotic species in the built-up areaThe ratio of BVOCs carbon emitted to the assimilated carbon ranged from0.01%to12.4%at species level(Kesselmeier,2002). Results from a Tukey test showed no significant differences in the BVOCs/NPP ratio between native and exotic species(P>0.05)for Ningbo.The reason for this may be that the range of the BVOCs/NPP ratio among the tree species for each category(native and exotic trees)exceeded that of different categories,with a wide range of the BVOCs/NPP ratio both for native and exotic trees of0.4–9.8%and 1.3–9.2%,respectively.Previous studies have shown higher BVOC emissions for exotic trees compared with native species in cities in temperate climates(Niinemets&Pe˜nuelas,2008;Noe,Pe˜nuelas,& Niinemets,2008).There was no difference between the BVOC emis-sions for native and exotic trees in subtropical regions,because many exotic trees in temperate environments originated in sub-tropical or tropical areas,so exotic and native species in subtropical regions may have closer taxonomic relationships than those in temperate regions(Chang et al.,2012).There is a broader range for BVOCs production than for photosynthetic carbon assimilation between plant species(Pe˜nuelas&Staudt,2010).The results of this study(Fig.2)confirm the viewpoint above.4.2.BVOCs carbon loss in relation to NPP for linear and block greenspaceDue to artificial selection and management,the tree species and their proportions varied within different greenspace(Table1), followed by different BVOC emissions(Chang et al.,2012)and NPP(Buyantuyev&Wu,2009).For the present study,the block greenspace showed a higher BVOCs/NPP ratio than the linear greenspace(Table4).The higher proportion of trees with a strong BVOC emissions and the higher density of tree planting in the block greenspace,means that the intensity of BVOC emissions in these spaces is twice that in the linear greenspace(Table4).How-ever,linear greenspace covered a larger area and had better light conditions due to the low tree density,so the annual BVOC emis-sions and NPP was much greater than in the block greenspace.The results indicate that species selection and planting density are the main determinants of BVOC emissions and NPP carbonfixing in an urban environments.For each type of greenspace,a few species contributed high proportions of BVOC emissions but low NPP(e.g. S.babylonica;Table2,Fig.2).Therefore,reducing the percentage of tree species with a high BVOC emissions and low NPP but increasing tree species with a low emission and high NPP could reduce BVOC emissions and increase NPP carbonfixing in urban environments.4.3.BVOCs/NPP ratio of urban greenspace and rural forestChanges in vegetation coverage and species composition involved in urbanization will lead to changes in BVOCs carbon loss(Naik,2004).Because BVOC emissions in bamboo forest was extremely high(Table3),we discussed the results with and without bamboo forest.The BVOCs/NPP ratio of the rural forests(evergreen broad-leaved forest,P.massoniana and other temperate pine forests and nceolata forest)was4.4%,higher than that in the built-up area with significant difference(Table4;P<0.05).It was because of the extremely high BVOCs/NPP ratio in bamboo forest that the BVOCs/NPP ratio in the rural forest was much larger than that in the built-up area.The average BVOC emissions intensity in urban greenspace was higher than that of rural forests excluding bam-boo forest,while the NPP intensity was on the contrary.As shown in Table1,there were a larger proportion of high BVOCs emit-ting species in the built-up area.The lower tree density in urban greenspace compares with rural forests will inevitably increase the portion of leaves exposed to high light,and then the increased PAR will stimulate more BVOC emissions.As the trees in urban area are generally under stresses of high temperature and arid,the NPP may be lower than rural forests to certain extent(Imhoff et al.,2004). All these factors contribute to the higher BVOCs/NPP ratio in the built-up area than in rural forests(excluding the bamboo forest). We determined that the changes in species composition as a resultTable4BVOC emissions and NPP for trees in urban greenspace and rural forests in Ningbo.Landscape types Area(km2)BVOCemissions(g C yr−1)BVOCemissionsintensity(Mg C km−2yr−1)NPP(Mg C km−2yr−1)BVOCs/NPP(%)Urban greenspaceLinear greenspace95.50.22×109 2.33135 1.73 Block greenspace44.60.18×109 4.15223 1.86 Rural forestsBamboo forest84636.6×10943.332113.48 P.massoniana and other temperate pine forest1652.7 5.09×109 3.08220 1.40 Evergreen broad-leaved forest757.6 1.62×109 2.144170.51 nceolata forest2200.31×109 1.412280.62。
一种环境响应型水泥石的抗CO2腐蚀性能
2017年第36卷第5期 CHEMICAL INDUSTRY AND ENGINEERING PROGRESS·1953·化 工 进展一种环境响应型水泥石的抗CO 2腐蚀性能彭志刚,张健,邹长军,陈大钧,郑勇(西南石油大学化学化工学院,四川 成都 610500)摘要:目前提高固井水泥石抗CO 2腐蚀性能的材料主要为活性无机外掺料,但其抗腐蚀效果有限。
为了提高固井水泥石(环)的抗腐性能,本文通过添加环境响应型有机防腐蚀剂形成一种环境响应型水泥石,研究了其在CO 2环境养护中抗压强度、渗透率、孔隙结构及微观形貌的相关变化。
结果表明:环境响应型水泥石有效抑制水泥石经碳化腐蚀抗压强度降低及渗透率增大现象;有害孔(>100nm )减少,凝胶孔(<50nm )增多,总孔隙率降低16.31%,孔径细化;水泥石水腐蚀表面形成膜状物质,呈连续分布,质地紧密;借助于扫描电子显微镜等分析技术,揭示了其防腐机理为防腐蚀剂交联形成具有致密网状结构的膜状物质,以及在水泥颗粒表面形成厚度增加的水化层等原因,阻断腐蚀介质侵蚀通道及减少与水化产物接触机会,实现抗CO 2腐蚀的目的。
同时通过不同加量防腐蚀剂的水泥石扫描电镜图片可知,成膜效果的好坏可能影响其抵抗酸性介质的侵蚀能力。
关键词:油井水泥石;二氧化碳腐蚀;有机防腐蚀剂;微观结构;防腐蚀机理中图分类号:TE256 文献标志码:A 文章编号:1000–6613(2017)05–1953–07 DOI :10.16085/j.issn.1000-6613.2017.05.051Research on CO 2 corrosion resistance performance of one kindenvironmental response cement stonePENG Zhigang ,ZHANG Jian ,ZOU Changjun ,CHEN Dajun ,ZHENG Yong(College of Chemistry and Chemical Engineering ,Southwest Petroleum University ,Chengdu 610500,Sichuan ,China )Absract :At present ,the main materials for improving the CO 2 resistance of cement mortar are active inorganic admixture ,and the performance of which is limited ,organic corrosion resistant materials are rarely reported. In order to improve the properties of cement’s (ring )carbonation resistance ,an environmental response type of cement stone was formed through adding an environmental response type of organic material. The changes of cement’s compressive strength ,permeability ,pore structure and micro structure were studied at CO 2 environmental maintenance condition. The results showed that the environmental response type cement effectively inhibited the increase of compressive strength and permeability through carbonization corrosion. The pore size of cement was refined. The harmful hole (>100nm )was decreased. The gel hole (<50nm )was increased and the total porosity was decreased by 16.31%. The phase composition of the hydration product remained stable ,and the membranous substance which has a continuous distribution and close texture was formed in the corrosion surface. By using scanning electron microscope (SEM )analysis ,it is revealed that the carbonation resistance mechanism was the membranous substance with dense mesh structure formed through rust preventer主要研究方向为油气田化学、油气田固完井工程。
219316079_冷等离子体技术对食品组分的影响及其作用机制
颜心怡,李锦晶,李赤翎,等. 冷等离子体技术对食品组分的影响及其作用机制[J]. 食品工业科技,2023,44(12):445−454. doi:10.13386/j.issn1002-0306.2022070119YAN Xinyi, LI Jinjing, LI Chiling, et al. Effect and Action Mechanism of Cold Plasma Technology on Food Components[J]. Science and Technology of Food Industry, 2023, 44(12): 445−454. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022070119· 专题综述 ·冷等离子体技术对食品组分的影响及其作用机制颜心怡1,李锦晶2,李赤翎1,吴金鸿3,俞 健1,王发祥1,4,刘永乐1,4,李向红1,4,*(1.长沙理工大学食品与生物工程学院,湖南长沙 410114;2.湖南康宝莱蕾硕天然产物有限公司,湖南长沙 410100;3.上海交通大学农业与生物学院,上海 200240;4.湖南省水生资源食品加工工程技术研究中心,湖南长沙 410114)摘 要:冷等离子体作为一种新型的非热加工技术,因其具有安全、绿色、能耗低等优点,在食品加工领域受到广泛关注。
冷等离子体使用的气体在电离过程中产生的紫外线、活性物质(如活性氧、活性氮、羟自由基和离子)等会通过辐射/修饰作用使生物大分子发生刻蚀及交联,或对食品组分(脂质、蛋白质、淀粉等)的表面结构和官能团进行修饰,使组分结构发生变化,从而影响食品的品质、功能特性等。
本文综述了冷等离子体作用对食品主要组分(蛋白质、脂质、淀粉)、维生素和多酚的影响及其可能的作用机制,并讨论了该技术存在的问题和未来发展的方向,以期为冷等离子体在食品工业的应用提供参考。
二氧化碳转化为合成气及高附加值产品的研究进展
化工进展Chemical Industry and Engineering Progress2022年第41卷第3期二氧化碳转化为合成气及高附加值产品的研究进展邵斌,孙哲毅,章云,潘冯弘康,赵开庆,胡军,刘洪来(华东理工大学化学与分子工程学院,上海200237)摘要:由于二氧化碳(CO 2)过度排放导致全球变暖日益严峻,发展零碳技术已成为人类社会面向可持续发展的战略选择。
将CO 2捕集并转化为高附加值化学和能源产品,可以优化化石能源为主体的能源结构、有效缓解环境问题,并实现碳资源的充分利用,是一项可以大规模实现低碳减排的技术。
本文重点介绍了CO 2高效利用新途径,通过二氧化碳-合成气-高附加值化学品的产品工艺路线,实现CO 2的资源化利用。
对比综述了热催化法、电催化法和光催化法高效转化合成气的最新进展,总结了热、电、光催化制备合成气过程中催化剂的设计原理和方法以及目前工业化应用前景;简单概述了合成气作为重要平台分子,进一步通过费托合成路线或接力催化路线转化为低碳烯烃和液态燃料或芳烃等化学品过程中催化剂设计研究进展。
最后,总结了大规模工业化CO 2转化为合成气及高附加值产品过程催化剂设计和反应器优化的技术难题,并对未来CO 2高效转化利用方向进行了展望。
同时指出目前各技术还普遍存在反应机理不清晰、催化剂成本高以及缺乏大规模合成等问题,未来开发出高效、高活性、低成本且稳定的催化剂是各技术推广应用的关键。
关键词:二氧化碳;合成气;催化机理;催化剂;工业应用中图分类号:TQ211文献标志码:A文章编号:1000-6613(2022)03-1136-16Recent progresses in CO 2to syngas and high value-added productsSHAO Bin ,SUN Zheyi ,ZHANG Yun ,PAN Fenghongkang ,ZHAO Kaiqing ,HU Jun ,LIU Honglai(School of Chemistry and Molecular Engineering,East China University of Science and Technology,Shanghai 200237,China)Abstract:The global warming caused by excess carbon dioxide (CO 2)emission has been a worldwide focus.The development of carbon neutralization technologies is a strategic choice for the sustainability of human society.CO 2capture and conversion to high value-added chemicals is an ultimate technology for the goal of carbon neutralization,which can optimize the fossil fuel-dominated energy structure,effectively alleviate environmental problems,and achieve carbon recycling.This paper focuses on the efficient CO 2utilization by the route of CO 2-syngas-high value-added chemicals.As an important intermedia product,syngas is the most feasible for CO 2conversion and can be further transformed into value-added chemicals.Recent progresses in three CO 2to syngas technologies of thermo-catalysis,electrocatalysis and photocatalysis are reviewed,including the mechanism,catalysts design strategies,and the current industrial application prospects.Moreover,the conversion of syngas to light olefins and aromatics through the Fischer-Tropsch synthesis and relay catalytic routes are also reviewed.By analyzing and comparing the key technologies,特约评述DOI :10.16085/j.issn.1000-6613.2021-1909收稿日期:2021-09-07;修改稿日期:2021-10-19。
全氟碳化合物在移植器官保存中的应用研究进展
-综述$全氟碳化合物在移植器官保存中的应用研究进展王旭明1,2丁振山2杨志豪2!摘要】近年来,随着器官移植的快速发展,心脏死亡器官捐献和扩大标准供者供器官逐渐被应用于临床,为提高供器官保存质量,改善移植预后,对供器官保存方式提出了更高的要求。
全氟碳化合物(PFC)是一种新型氧气载体,能高效传递氧气,减少氧化应激及缺血再灌注损伤,提高胰腺等离体器官的保存质量。
PFC对不同器官的保存方式和保护机制存在差异。
本文从PFC理化性质、作用机制及其在器官保存中的应用研究进展等方面进行综述。
!关键词】全氟碳化合物;器官保存;静态冷保存;机械灌注Application and research progression of perfluorocarbon in transplanted organs preservationWang Xuming1,,Ding Zhenshan2,Yang Zhihao2.*Peking University China-Japan Friendship Schoolof Clinical Medicine,Beping100029,China;2De/artment of Urology,China-Japan FriendshipHospital,Beping100029,China.Correspooding author%Yang Zhihao,Emaii:yangzh_zr12@)Abstract]Recently,donor organs from donation aftca cardiac death and expanded critericdonors have graduaCy been u sed in clinical practice with the rapii development of transplantation.Inordeo tc improve the quality of organ preservation and organ transplantation outcome,highea request isbrought forward for oraan preservation methods.Perfluorocarbon(PFC)is a new type of oxygen carriee,which can eeiciently t ransfer oxygen,reduce oxiOative stress and ischemio-repeOusion injuo,andimprove the preservation q uality of isolated oraans such as the pancreas.The preservation method andprotection mechanism of PFC v:.from oraan tr oraan.This article reviews the physical and chemicaiproperties,mechanism of action,application and research pwxwss in oraan preservation of PFC.)Key words]PerVuorocarbon;Oraan preservation;Static coll storaae;Machine peOusion供器官短缺一直是困扰器官移植的重要问题,为解决这一困境,心脏死亡器官捐献(donation after cardiac death,DCD)和扩大标准供者(expanded cWteWv donors,ECD)供器官被应用于临床[1]o DCD 和ECD在给移植事业带来新的发展机遇的同时,也带来更多挑战。
生物炭持久性自由基形成机制及环境应用研究进展
化工进展CHEMICAL INDUSTRY AND ENGINEERING PROGRESS2020年第39卷第4期开放科学(资源服务)标识码(OSID ):生物炭持久性自由基形成机制及环境应用研究进展唐正1,赵松2,钱雅洁1,薛罡1,贾汉忠2,高品1(1东华大学环境科学与工程学院,上海201620;2西北农林科技大学资源环境学院,陕西杨凌712100)摘要:持久性自由基(PFRs )因其持续反应活性和潜在毒性而日益受到广泛关注。
生物炭在高温热解和水热碳化制备过程中会产生PFRs ,并可转化形成活性氧物质,从而促进环境污染物的氧化还原转化和降解,同时也产生潜在的环境健康风险。
本文综述了生物炭PFRs 的国内外研究进展,归纳了PFRs 在生物炭制备过程中的形成和转化机制,总结了生物炭PFRs 生成ROS 降解有机污染物、光诱导氧化降解有机污染物、重金属氧化还原转化等方面的环境应用研究现状,初步探讨了生物炭PFRs 的毒性效应,并对今后的研究发展方向提出了展望,以期为生物炭PFRs 的进一步环境应用提供方向和依据。
关键词:生物炭;持久性自由基;高温热解;水热碳化;活性氧物质中图分类号:X50文献标志码:A文章编号:1000-6613(2020)04-1521-07Formation mechanisms and environmental applications of persistent freeradicals in biochar:a reviewTANG Zheng 1,ZHAO Song 2,QIAN Yajie 1,XUE Gang 1,JIA Hanzhong 2,GAO Pin 1(1College of Environmental Science and Engineering,Donghua University,Shanghai 201620,China;2College of NaturalResources and Environment,Northwest A &F University,Yangling 712100,Shaanxi,China)Abstract:Persistent free radicals (PFRs)have attracted increasing attention due to their persistentreactivity and potential toxicity.PFRs can be produced from biochar preparation by high-temperature pyrolysis and hydrothermal carbonization,which can be transformed to form reactive oxygen species and promote the transformation and degradation of environmental pollutants,but it creates potential environmental health risks as well.This review summarized the recent research progress of PFRs in biochar,formation mechanisms of PFRs during biochar preparation.The application studies of organic pollutants degradation by reactive oxygen species(ROS),the light induced oxidation of organic pollutants,and oxidation-reduction of heavy metals mediated by PFRs in biochar were also reviewed.And thetoxicity of PFRs in biochar was preliminarily discussed.Finally,the future research directions with respect to PFRs in biochar were suggested.The aim of this work were to provide direction and evidence for the environmental applications of PFRs in biochar.Keywords:biochar;persistent free radicals;high-temperature pyrolysis;hydrothermal carbonization;reactive oxygen species综述与专论DOI :10.16085/j.issn.1000-6613.2019-1284收稿日期:2019-08-09;修改稿日期:2019-10-22。
微生物英文文献及翻译—原文
Dynamic and distribution of ammonia-oxidizing bacteria communities during sludge granulation in an anaerobic e aerobic sequencing batch reactorZhang Bin a ,b ,Chen Zhe a ,b ,Qiu Zhigang a ,b ,Jin Min a ,b ,Chen Zhiqiang a ,b ,Chen Zhaoli a ,b ,Li Junwen a ,b ,Wang Xuan c ,*,Wang Jingfeng a ,b ,**aInstitute of Hygiene and Environmental Medicine,Academy of Military Medical Sciences,Tianjin 300050,PR China bTianjin Key Laboratory of Risk Assessment and Control for Environment and Food Safety,Tianjin 300050,PR China cTianjin Key Laboratory of Hollow Fiber Membrane Material and Membrane Process,Institute of Biological and Chemical Engineering,Tianjin Polytechnical University,Tianjin 300160,PR Chinaa r t i c l e i n f oArticle history:Received 30June 2011Received in revised form 10September 2011Accepted 10September 2011Available online xxx Keywords:Ammonia-oxidizing bacteria Granular sludgeCommunity development Granule sizeNitrifying bacteria distribution Phylogenetic diversitya b s t r a c tThe structure dynamic of ammonia-oxidizing bacteria (AOB)community and the distribution of AOB and nitrite-oxidizing bacteria (NOB)in granular sludge from an anaerobic e aerobic sequencing batch reactor (SBR)were investigated.A combination of process studies,molecular biotechniques and microscale techniques were employed to identify and characterize these organisms.The AOB community structure in granules was substantially different from that of the initial pattern of the inoculants sludge.Along with granules formation,the AOB diversity declined due to the selection pressure imposed by process conditions.Denaturing gradient gel electrophoresis (DGGE)and sequencing results demonstrated that most of Nitrosomonas in the inoculating sludge were remained because of their ability to rapidly adapt to the settling e washing out action.Furthermore,DGGE analysis revealed that larger granules benefit more AOB species surviving in the reactor.In the SBR were various size granules coexisted,granule diameter affected the distribution range of AOB and NOB.Small and medium granules (d <0.6mm)cannot restrict oxygen mass transfer in all spaces of the rger granules (d >0.9mm)can result in smaller aerobic volume fraction and inhibition of NOB growth.All these observations provide support to future studies on the mechanisms responsible for the AOB in granules systems.ª2011Elsevier Ltd.All rights reserved.1.IntroductionAt sufficiently high levels,ammonia in aquatic environments can be toxic to aquatic life and can contribute to eutrophica-tion.Accordingly,biodegradation and elimination of ammonia in wastewater are the primary functions of thewastewater treatment process.Nitrification,the conversion of ammonia to nitrate via nitrite,is an important way to remove ammonia nitrogen.It is a two-step process catalyzed by ammonia-oxidizing and nitrite-oxidizing bacteria (AOB and NOB).Aerobic ammonia-oxidation is often the first,rate-limiting step of nitrification;however,it is essential for the*Corresponding author .**Corresponding author.Institute of Hygiene and Environmental Medicine,Academy of Military Medical Sciences,Tianjin 300050,PR China.Tel.:+862284655498;fax:+862223328809.E-mail addresses:wangxuan0116@ (W.Xuan),jingfengwang@ (W.Jingfeng).Available online atjournal homepage:/locate/watresw a t e r r e s e a r c h x x x (2011)1e 100043-1354/$e see front matter ª2011Elsevier Ltd.All rights reserved.doi:10.1016/j.watres.2011.09.026removal of ammonia from the wastewater(Prosser and Nicol, 2008).Comparative analyses of16S rRNA sequences have revealed that most AOB in activated sludge are phylogeneti-cally closely related to the clade of b-Proteobacteria (Kowalchuk and Stephen,2001).However,a number of studies have suggested that there are physiological and ecological differences between different AOB genera and lineages,and that environmental factors such as process parameter,dis-solved oxygen,salinity,pH,and concentrations of free ammonia can impact certain species of AOB(Erguder et al., 2008;Kim et al.,2006;Koops and Pommerening-Ro¨ser,2001; Kowalchuk and Stephen,2001;Shi et al.,2010).Therefore, the physiological activity and abundance of AOB in waste-water processing is critical in the design and operation of waste treatment systems.For this reason,a better under-standing of the ecology and microbiology of AOB in waste-water treatment systems is necessary to enhance treatment performance.Recently,several developed techniques have served as valuable tools for the characterization of microbial diversity in biological wastewater treatment systems(Li et al., 2008;Yin and Xu,2009).Currently,the application of molec-ular biotechniques can provide clarification of the ammonia-oxidizing community in detail(Haseborg et al.,2010;Tawan et al.,2005;Vlaeminck et al.,2010).In recent years,the aerobic granular sludge process has become an attractive alternative to conventional processes for wastewater treatment mainly due to its cell immobilization strategy(de Bruin et al.,2004;Liu et al.,2009;Schwarzenbeck et al.,2005;Schwarzenbeck et al.,2004a,b;Xavier et al.,2007). Granules have a more tightly compact structure(Li et al.,2008; Liu and Tay,2008;Wang et al.,2004)and rapid settling velocity (Kong et al.,2009;Lemaire et al.,2008).Therefore,granular sludge systems have a higher mixed liquid suspended sludge (MLSS)concentration and longer solid retention times(SRT) than conventional activated sludge systems.Longer SRT can provide enough time for the growth of organisms that require a long generation time(e.g.,AOB).Some studies have indicated that nitrifying granules can be cultivated with ammonia-rich inorganic wastewater and the diameter of granules was small (Shi et al.,2010;Tsuneda et al.,2003).Other researchers reported that larger granules have been developed with the synthetic organic wastewater in sequencing batch reactors(SBRs)(Li et al., 2008;Liu and Tay,2008).The diverse populations of microor-ganisms that coexist in granules remove the chemical oxygen demand(COD),nitrogen and phosphate(de Kreuk et al.,2005). However,for larger granules with a particle diameter greater than0.6mm,an outer aerobic shell and an inner anaerobic zone coexist because of restricted oxygen diffusion to the granule core.These properties of granular sludge suggest that the inner environment of granules is unfavorable to AOB growth.Some research has shown that particle size and density induced the different distribution and dominance of AOB,NOB and anam-mox(Winkler et al.,2011b).Although a number of studies have been conducted to assess the ecology and microbiology of AOB in wastewater treatment systems,the information on the dynamics,distribution,and quantification of AOB communities during sludge granulation is still limited up to now.To address these concerns,the main objective of the present work was to investigate the population dynamics of AOB communities during the development of seedingflocs into granules,and the distribution of AOB and NOB in different size granules from an anaerobic e aerobic SBR.A combination of process studies,molecular biotechniques and microscale techniques were employed to identify and char-acterize these organisms.Based on these approaches,we demonstrate the differences in both AOB community evolu-tion and composition of theflocs and granules co-existing in the SBR and further elucidate the relationship between distribution of nitrifying bacteria and granule size.It is ex-pected that the work would be useful to better understand the mechanisms responsible for the AOB in granules and apply them for optimal control and management strategies of granulation systems.2.Material and methods2.1.Reactor set-up and operationThe granules were cultivated in a lab-scale SBR with an effective volume of4L.The effective diameter and height of the reactor was10cm and51cm,respectively.The hydraulic retention time was set at8h.Activated sludge from a full-scale sewage treat-ment plant(Jizhuangzi Sewage Treatment Works,Tianjin, China)was used as the seed sludge for the reactor at an initial sludge concentration of3876mg LÀ1in MLSS.The reactor was operated on6-h cycles,consisting of2-min influent feeding,90-min anaerobic phase(mixing),240-min aeration phase and5-min effluent discharge periods.The sludge settling time was reduced gradually from10to5min after80SBR cycles in20days, and only particles with a settling velocity higher than4.5m hÀ1 were retained in the reactor.The composition of the influent media were NaAc(450mg LÀ1),NH4Cl(100mg LÀ1),(NH4)2SO4 (10mg LÀ1),KH2PO4(20mg LÀ1),MgSO4$7H2O(50mg LÀ1),KCl (20mg LÀ1),CaCl2(20mg LÀ1),FeSO4$7H2O(1mg LÀ1),pH7.0e7.5, and0.1mL LÀ1trace element solution(Li et al.,2007).Analytical methods-The total organic carbon(TOC),NHþ4e N, NOÀ2e N,NOÀ3e N,total nitrogen(TN),total phosphate(TP) concentration,mixed liquid suspended solids(MLSS) concentration,and sludge volume index at10min(SVI10)were measured regularly according to the standard methods (APHA-AWWA-WEF,2005).Sludge size distribution was determined by the sieving method(Laguna et al.,1999).Screening was performed with four stainless steel sieves of5cm diameter having respective mesh openings of0.9,0.6,0.45,and0.2mm.A100mL volume of sludge from the reactor was sampled with a calibrated cylinder and then deposited on the0.9mm mesh sieve.The sample was subsequently washed with distilled water and particles less than0.9mm in diameter passed through this sieve to the sieves with smaller openings.The washing procedure was repeated several times to separate the gran-ules.The granules collected on the different screens were recovered by backwashing with distilled water.Each fraction was collected in a different beaker andfiltered on quantitative filter paper to determine the total suspended solid(TSS).Once the amount of total suspended solid(TSS)retained on each sieve was acquired,it was reasonable to determine for each class of size(<0.2,[0.2e0.45],[0.45e0.6],[0.6e0.9],>0.9mm) the percentage of the total weight that they represent.w a t e r r e s e a r c h x x x(2011)1e10 22.2.DNA extraction and nested PCR e DGGEThe sludge from approximately8mg of MLSS was transferred into a1.5-mL Eppendorf tube and then centrifuged at14,000g for10min.The supernatant was removed,and the pellet was added to1mL of sodium phosphate buffer solution and aseptically mixed with a sterilized pestle in order to detach granules.Genomic DNA was extracted from the pellets using E.Z.N.A.äSoil DNA kit(D5625-01,Omega Bio-tek Inc.,USA).To amplify ammonia-oxidizer specific16S rRNA for dena-turing gradient gel electrophoresis(DGGE),a nested PCR approach was performed as described previously(Zhang et al., 2010).30m l of nested PCR amplicons(with5m l6Âloading buffer)were loaded and separated by DGGE on polyacrylamide gels(8%,37.5:1acrylamide e bisacrylamide)with a linear gradient of35%e55%denaturant(100%denaturant¼7M urea plus40%formamide).The gel was run for6.5h at140V in 1ÂTAE buffer(40mM Tris-acetate,20mM sodium acetate, 1mM Na2EDTA,pH7.4)maintained at60 C(DCodeäUniversal Mutation Detection System,Bio-Rad,Hercules,CA, USA).After electrophoresis,silver-staining and development of the gels were performed as described by Sanguinetti et al. (1994).These were followed by air-drying and scanning with a gel imaging analysis system(Image Quant350,GE Inc.,USA). The gel images were analyzed with the software Quantity One,version4.31(Bio-rad).Dice index(Cs)of pair wise community similarity was calculated to evaluate the similarity of the AOB community among DGGE lanes(LaPara et al.,2002).This index ranges from0%(no common band)to100%(identical band patterns) with the assistance of Quantity One.The Shannon diversity index(H)was used to measure the microbial diversity that takes into account the richness and proportion of each species in a population.H was calculatedusing the following equation:H¼ÀPn iNlogn iN,where n i/Nis the proportion of community made up by species i(bright-ness of the band i/total brightness of all bands in the lane).Dendrograms relating band pattern similarities were automatically calculated without band weighting(consider-ation of band density)by the unweighted pair group method with arithmetic mean(UPGMA)algorithms in the Quantity One software.Prominent DGGE bands were excised and dissolved in30m L Milli-Q water overnight,at4 C.DNA was recovered from the gel by freeze e thawing thrice.Cloning and sequencing of the target DNA fragments were conducted following the estab-lished method(Zhang et al.,2010).2.3.Distribution of nitrifying bacteriaThree classes of size([0.2e0.45],[0.45e0.6],>0.9mm)were chosen on day180for FISH analysis in order to investigate the spatial distribution characteristics of AOB and NOB in granules.2mg sludge samples werefixed in4%para-formaldehyde solution for16e24h at4 C and then washed twice with sodium phosphate buffer;the samples were dehydrated in50%,80%and100%ethanol for10min each. Ethanol in the granules was then completely replaced by xylene by serial immersion in ethanol-xylene solutions of3:1, 1:1,and1:3by volume andfinally in100%xylene,for10min periods at room temperature.Subsequently,the granules were embedded in paraffin(m.p.56e58 C)by serial immer-sion in1:1xylene-paraffin for30min at60 C,followed by 100%paraffin.After solidification in paraffin,8-m m-thick sections were prepared and placed on gelatin-coated micro-scopic slides.Paraffin was removed by immersing the slide in xylene and ethanol for30min each,followed by air-drying of the slides.The three oligonucleotide probes were used for hybridiza-tion(Downing and Nerenberg,2008):FITC-labeled Nso190, which targets the majority of AOB;TRITC-labeled NIT3,which targets Nitrobacter sp.;TRITC-labeled NSR1156,which targets Nitrospira sp.All probe sequences,their hybridization condi-tions,and washing conditions are given in Table1.Oligonu-cleotides were synthesized andfluorescently labeled with fluorochomes by Takara,Inc.(Dalian,China).Hybridizations were performed at46 C for2h with a hybridization buffer(0.9M NaCl,formamide at the percentage shown in Table1,20mM Tris/HCl,pH8.0,0.01% SDS)containing each labeled probe(5ng m LÀ1).After hybrid-ization,unbound oligonucleotides were removed by a strin-gent washing step at48 C for15min in washing buffer containing the same components as the hybridization buffer except for the probes.For detection of all DNA,4,6-diamidino-2-phenylindole (DAPI)was diluted with methanol to afinal concentration of1ng m LÀ1.Cover the slides with DAPI e methanol and incubate for15min at37 C.The slides were subsequently washed once with methanol,rinsed briefly with ddH2O and immediately air-dried.Vectashield(Vector Laboratories)was used to prevent photo bleaching.The hybridization images were captured using a confocal laser scanning microscope (CLSM,Zeiss710).A total of10images were captured for each probe at each class of size.The representative images were selected andfinal image evaluation was done in Adobe PhotoShop.w a t e r r e s e a r c h x x x(2011)1e1033.Results3.1.SBR performance and granule characteristicsDuring the startup period,the reactor removed TOC and NH 4þ-N efficiently.98%of NH 4þ-N and 100%of TOC were removed from the influent by day 3and day 5respectively (Figs.S2,S3,Supporting information ).Removal of TN and TP were lower during this period (Figs.S3,S4,Supporting information ),though the removal of TP gradually improved to 100%removal by day 33(Fig.S4,Supporting information ).To determine the sludge volume index of granular sludge,a settling time of 10min was chosen instead of 30min,because granular sludge has a similar SVI after 60min and after 5min of settling (Schwarzenbeck et al.,2004b ).The SVI 10of the inoculating sludge was 108.2mL g À1.The changing patterns of MLSS and SVI 10in the continuous operation of the SBR are illustrated in Fig.1.The sludge settleability increased markedly during the set-up period.Fig.2reflects the slow andgradual process of sludge granulation,i.e.,from flocculentsludge to granules.3.2.DGGE analysis:AOB communities structure changes during sludge granulationThe results of nested PCR were shown in Fig.S1.The well-resolved DGGE bands were obtained at the representative points throughout the GSBR operation and the patterns revealed that the structure of the AOB communities was dynamic during sludge granulation and stabilization (Fig.3).The community structure at the end of experiment was different from that of the initial pattern of the seed sludge.The AOB communities on day 1showed 40%similarity only to that at the end of the GSBR operation (Table S1,Supporting information ),indicating the considerable difference of AOB communities structures between inoculated sludge and granular sludge.Biodiversity based on the DGGE patterns was analyzed by calculating the Shannon diversity index H as204060801001201401254159738494104115125135147160172188Time (d)S V I 10 (m L .g -1)10002000300040005000600070008000900010000M L S S (m g .L -1)Fig.1e Change in biomass content and SVI 10during whole operation.SVI,sludge volume index;MLSS,mixed liquid suspendedsolids.Fig.2e Variation in granule size distribution in the sludge during operation.d,particle diameter;TSS,total suspended solids.w a t e r r e s e a r c h x x x (2011)1e 104shown in Fig.S5.In the phase of sludge inoculation (before day 38),H decreased remarkably (from 0.94to 0.75)due to the absence of some species in the reactor.Though several dominant species (bands2,7,10,11)in the inoculating sludge were preserved,many bands disappeared or weakened (bands 3,4,6,8,13,14,15).After day 45,the diversity index tended to be stable and showed small fluctuation (from 0.72to 0.82).Banding pattern similarity was analyzed by applying UPGMA (Fig.4)algorithms.The UPGMA analysis showed three groups with intragroup similarity at approximately 67%e 78%and intergroup similarity at 44e 62%.Generally,the clustering followed the time course;and the algorithms showed a closer clustering of groups II and III.In the analysis,group I was associated with sludge inoculation and washout,group IIwithFig.3e DGGE profile of the AOB communities in the SBR during the sludge granulation process (lane labels along the top show the sampling time (days)from startup of the bioreactor).The major bands were labeled with the numbers (bands 1e15).Fig.4e UPGMA analysis dendrograms of AOB community DGGE banding patterns,showing schematics of banding patterns.Roman numerals indicate major clusters.w a t e r r e s e a r c h x x x (2011)1e 105startup sludge granulation and decreasing SVI 10,and group III with a stable system and excellent biomass settleability.In Fig.3,the locations of the predominant bands were excised from the gel.DNA in these bands were reamplified,cloned and sequenced.The comparative analysis of these partial 16S rRNA sequences (Table 2and Fig.S6)revealed the phylogenetic affiliation of 13sequences retrieved.The majority of the bacteria in seed sludge grouped with members of Nitrosomonas and Nitrosospira .Along with sludge granula-tion,most of Nitrosomonas (Bands 2,5,7,9,10,11)were remained or eventually became dominant in GSBR;however,all of Nitrosospira (Bands 6,13,15)were gradually eliminated from the reactor.3.3.Distribution of AOB and NOB in different sized granulesFISH was performed on the granule sections mainly to deter-mine the location of AOB and NOB within the different size classes of granules,and the images were not further analyzed for quantification of cell counts.As shown in Fig.6,in small granules (0.2mm <d <0.45mm),AOB located mainly in the outer part of granular space,whereas NOB were detected only in the core of granules.In medium granules (0.45mm <d <0.6mm),AOB distributed evenly throughout the whole granular space,whereas NOB still existed in the inner part.In the larger granules (d >0.9mm),AOB and NOB were mostly located in the surface area of the granules,and moreover,NOB became rare.4.Discussion4.1.Relationship between granule formation and reactor performanceAfter day 32,the SVI 10stabilized at 20e 35mL g À1,which is very low compared to the values measured for activated sludge (100e 150mL g À1).However,the size distribution of the granules measured on day 32(Fig.2)indicated that only 22%of the biomass was made of granular sludge with diameter largerthan 0.2mm.These results suggest that sludge settleability increased prior to granule formation and was not affected by different particle sizes in the sludge during the GSBR operation.It was observed,however,that the diameter of the granules fluctuated over longer durations.The large granules tended to destabilize due to endogenous respiration,and broke into smaller granules that could seed the formation of large granules again.Pochana and Keller reported that physically broken sludge flocs contribute to lower denitrification rates,due to their reduced anoxic zone (Pochana and Keller,1999).Therefore,TN removal efficiency raises fluctuantly throughout the experiment.Some previous research had demonstrated that bigger,more dense granules favored the enrichment of PAO (Winkler et al.,2011a ).Hence,after day 77,removal efficiency of TP was higher and relatively stable because the granules mass fraction was over 90%and more larger granules formed.4.2.Relationship between AOB communities dynamic and sludge granulationFor granule formation,a short settling time was set,and only particles with a settling velocity higher than 4.5m h À1were retained in the reactor.Moreover,as shown in Fig.1,the variation in SVI 10was greater before day 41(from 108.2mL g À1e 34.1mL g À1).During this phase,large amounts of biomass could not survive in the reactor.A clear shift in pop-ulations was evident,with 58%similarity between days 8and 18(Table S1).In the SBR system fed with acetate-based synthetic wastewater,heterotrophic bacteria can produce much larger amounts of extracellular polysaccharides than autotrophic bacteria (Tsuneda et al.,2003).Some researchers found that microorganisms in high shear environments adhered by extracellular polymeric substances (EPS)to resist the damage of suspended cells by environmental forces (Trinet et al.,1991).Additionally,it had been proved that the dominant heterotrophic species in the inoculating sludge were preserved throughout the process in our previous research (Zhang et al.,2011).It is well known that AOB are chemoau-totrophic and slow-growing;accordingly,numerous AOBw a t e r r e s e a r c h x x x (2011)1e 106populations that cannot become big and dense enough to settle fast were washed out from the system.As a result,the variation in AOB was remarkable in the period of sludge inoculation,and the diversity index of population decreased rapidly.After day 45,AOB communities’structure became stable due to the improvement of sludge settleability and the retention of more biomass.These results suggest that the short settling time (selection pressure)apparently stressed the biomass,leading to a violent dynamic of AOB communities.Further,these results suggest that certain populations may have been responsible for the operational success of the GSBR and were able to persist despite the large fluctuations in pop-ulation similarity.This bacterial population instability,coupled with a generally acceptable bioreactor performance,is congruent with the results obtained from a membrane biore-actor (MBR)for graywater treatment (Stamper et al.,2003).Nitrosomonas e like and Nitrosospira e like populations are the dominant AOB populations in wastewater treatment systems (Kowalchuk and Stephen,2001).A few previous studies revealed that the predominant populations in AOB communities are different in various wastewater treatment processes (Tawan et al.,2005;Thomas et al.,2010).Some researchers found that the community was dominated by AOB from the genus Nitrosospira in MBRs (Zhang et al.,2010),whereas Nitrosomonas sp.is the predominant population in biofilter sludge (Yin and Xu,2009).In the currentstudy,Fig.5e DGGE profile of the AOB communities in different size of granules (lane labels along the top show the range of particle diameter (d,mm)).Values along the bottom indicate the Shannon diversity index (H ).Bands labeled with the numbers were consistent with the bands in Fig.3.w a t e r r e s e a r c h x x x (2011)1e 107sequence analysis revealed that selection pressure evidently effect on the survival of Nitrosospira in granular sludge.Almost all of Nitrosospira were washed out initially and had no chance to evolve with the environmental changes.However,some members of Nitrosomonas sp.have been shown to produce more amounts of EPS than Nitrosospira ,especially under limited ammonia conditions (Stehr et al.,1995);and this feature has also been observed for other members of the same lineage.Accordingly,these EPS are helpful to communicate cells with each other and granulate sludge (Adav et al.,2008).Therefore,most of Nitrosomonas could adapt to this challenge (to become big and dense enough to settle fast)and were retained in the reactor.At the end of reactor operation (day 180),granules with different particle size were sieved.The effects of variation in granules size on the composition of the AOBcommunitiesFig.6e Micrographs of FISH performed on three size classes of granule sections.DAPI stain micrographs (A,D,G);AOB appear as green fluorescence (B,E,H),and NOB appear as red fluorescence (C,F,I).Bar [100m m in (A)e (C)and (G)e (I).d,particle diameter.(For interpretation of the references to colour in this figure legend,the reader is referred to the web version of this article.)w a t e r r e s e a r c h x x x (2011)1e 108were investigated.As shown in Fig.5,AOB communities structures in different size of granules were varied.Although several predominant bands(bands2,5,11)were present in all samples,only bands3and6appeared in the granules with diameters larger than0.6mm.Additionally,bands7and10 were intense in the granules larger than0.45mm.According to Table2,it can be clearly indicated that Nitrosospira could be retained merely in the granules larger than0.6mm.Therefore, Nitrosospira was not present at a high level in Fig.3due to the lower proportion of larger granules(d>0.6mm)in TSS along with reactor operation.DGGE analysis also revealed that larger granules had a greater microbial diversity than smaller ones. This result also demonstrates that more organisms can survive in larger granules as a result of more space,which can provide the suitable environment for the growth of microbes(Fig.6).4.3.Effect of variance in particle size on the distribution of AOB and NOB in granulesAlthough an influence of granule size has been observed in experiments and simulations for simultaneous N-and P-removal(de Kreuk et al.,2007),the effect of granule size on the distribution of different biomass species need be revealed further with the assistance of visible experimental results, especially in the same granular sludge reactors.Related studies on the diversity of bacterial communities in granular sludge often focus on the distribution of important functional bacteria populations in single-size granules(Matsumoto et al., 2010).In the present study,different size granules were sieved,and the distribution patterns of AOB and NOB were explored.In the nitrification processes considered,AOB and NOB compete for space and oxygen in the granules(Volcke et al.,2010).Since ammonium oxidizers have a higheroxygen affinity(K AOBO2<K NOBO2)and accumulate more rapidly inthe reactor than nitrite oxidizers(Volcke et al.,2010),NOB are located just below the layer of AOB,where still some oxygen is present and allows ready access to the nitrite produced.In smaller granules,the location boundaries of the both biomass species were distinct due to the limited existence space provided by granules for both microorganism’s growth.AOB exist outside of the granules where oxygen and ammonia are present.Medium granules can provide broader space for microbe multiplying;accordingly,AOB spread out in the whole granules.This result also confirms that oxygen could penetrate deep into the granule’s core without restriction when particle diameter is less than0.6mm.Some mathematic model also supposed that NOBs are favored to grow in smaller granules because of the higher fractional aerobic volume (Volcke et al.,2010).As shown in the results of the batch experiments(Zhang et al.,2011),nitrite accumulation temporarily occurred,accompanied by the more large gran-ules(d>0.9mm)forming.This phenomenon can be attrib-uted to the increased ammonium surface load associated with larger granules and smaller aerobic volume fraction,resulting in outcompetes of NOB.It also suggests that the core areas of large granules(d>0.9mm)could provide anoxic environment for the growth of anaerobic denitrificans(such as Tb.deni-trificans or Tb.thioparus in Fig.S7,Supporting information).As shown in Fig.2and Fig.S3,the removal efficiency of total nitrogen increased with formation of larger granules.5.ConclusionsThe variation in AOB communities’structure was remarkable during sludge inoculation,and the diversity index of pop-ulation decreased rapidly.Most of Nitrosomonas in the inocu-lating sludge were retained because of their capability to rapidly adapt to the settling e washing out action.DGGE anal-ysis also revealed that larger granules had greater AOB diversity than that of smaller ones.Oxygen penetration was not restricted in the granules of less than0.6mm particle diameter.However,the larger granules(d>0.9mm)can result in the smaller aerobic volume fraction and inhibition of NOB growth.Henceforth,further studies on controlling and opti-mizing distribution of granule size could be beneficial to the nitrogen removal and expansive application of granular sludge technology.AcknowledgmentsThis work was supported by grants from the National Natural Science Foundation of China(No.51108456,50908227)and the National High Technology Research and Development Program of China(No.2009AA06Z312).Appendix.Supplementary dataSupplementary data associated with this article can be found in online version at doi:10.1016/j.watres.2011.09.026.r e f e r e n c e sAdav,S.S.,Lee, D.J.,Show,K.Y.,2008.Aerobic granular sludge:recent advances.Biotechnology Advances26,411e423.APHA-AWWA-WEF,2005.Standard Methods for the Examination of Water and Wastewater,first ed.American Public Health Association/American Water Works Association/WaterEnvironment Federation,Washington,DC.de Bruin,L.M.,de Kreuk,M.,van der Roest,H.F.,Uijterlinde,C., van Loosdrecht,M.C.M.,2004.Aerobic granular sludgetechnology:an alternative to activated sludge?Water Science and Technology49,1e7.de Kreuk,M.,Heijnen,J.J.,van Loosdrecht,M.C.M.,2005.Simultaneous COD,nitrogen,and phosphate removal byaerobic granular sludge.Biotechnology and Bioengineering90, 761e769.de Kreuk,M.,Picioreanu,C.,Hosseini,M.,Xavier,J.B.,van Loosdrecht,M.C.M.,2007.Kinetic model of a granular sludge SBR:influences on nutrient removal.Biotechnology andBioengineering97,801e815.Downing,L.S.,Nerenberg,R.,2008.Total nitrogen removal ina hybrid,membrane-aerated activated sludge process.WaterResearch42,3697e3708.Erguder,T.H.,Boon,N.,Vlaeminck,S.E.,Verstraete,W.,2008.Partial nitrification achieved by pulse sulfide doses ina sequential batch reactor.Environmental Science andTechnology42,8715e8720.w a t e r r e s e a r c h x x x(2011)1e109。
生物炭基肥料的制备方法及其在农业中的应用研究进展
安徽农学通报,Anhui Agri,Sci,Bull,2019,25(09)生物炭基肥料的制备方法及其在农业中的应用研究进展冉宗信(四川大学建筑与环境学院,四川成都610065)摘要:因农业活动产生的温室气体,已成为加速全球气候变暖的重要环境因子。
利用生物炭作为肥料载体制备生物碳基肥料,是同步实现农作物增产增收和土壤理化性质改良的新型工艺。
该文在国内外前沿研究成果和文献综述的基础上,阐述了生物炭基肥在加工、制备和改性工艺方面的最新研究进展以及在生产物炭基肥农田应用研究进展,包括生物炭基肥对土壤微生物群落结构、对肥料养分、对作物生长和产量的影响和农田应用的发展趋势。
并针对存在的问题和技术需求,就施用生物炭的生态影响研究,系统评估生物碳基肥料施用带来的生物多样性减少和生态系统失衡等潜在生态风险方面进行了展望。
关键词:生物炭基肥;农业;土壤;作物;进展中图分类号X53文献标识码A文章编号1007-7731(2019)09-0116-3Research Progress in Preparation Methods of Biochar Based Fertilizers and Application in Agricul⁃tureRan Zongxin(School of Architecture and Environment,Sichuan University,Chengdu610065,China)Abstract:Greenhouse gases produced by agricultural activities have become one of the major factors contributing to global warming.Biomass carbon-based fertilizer prepared by using biochar as a fertilizer carrier can not only promote crop growth and yield increase,but also contribute to the improvement of soil physical and chemical properties. Based on years of research results and comprehensive literature analysis,this paper expounds the latest research progress of biochar based fertilizer in processing technology,preparation process and modification preparation pro⁃cess,and expounds the research progress of biochar based fertilizer application,including biochar based fertilizer on soil microbial community.Structure,effects on fertilizer nutrients,crop growth and yield,and trends in the applica⁃tion of biochar-based fertilizers.Based on existing problems and technical needs,it is pointed out that the ecological impact of large-scale application of biochar should be further studied,and long-term,systematic and comprehensive assessment of ecological risks such as whether it threatens biodiversity and ecosystem balance.Key words:Biochar based fertilizer;Agriculture;Soil;Crops;Progress在许多国家,农田及食品加工厂等场所产生的厨余粪便垃圾、农作物秸秆等农业废弃物被焚烧已成为常态,不仅带来了严重的空气污染问题,也造成了农田土壤养分的大量流失。
ICHM7(step4)基因毒性杂质评估和控制◆中英
ASSESSMENT AND CONTROL OF DNA REACTIVE(MUTAGENIC) IMPURITIES IN PHARMACEUTICALS TOLIMIT POTENTIAL CARCINOGENIC RISK为限制潜在致癌风险而对药物中DNA活性(诱变性)杂质进行的评估和控制M7Current Step 4 versiondated 23 June 2014This Guideline has been developed by the appropriate ICH Expert Working Group and has been subject to consultation by the regulatory parties, in accordance with the ICH Process. At Step 4 of the Process the final draft is recommended for adoption to the regulatory bodies of the European Union, Japan and USA.M7Document History 文件历史The document is provided "as is" without warranty of any kind. In no event shall the ICH or the authors of the original document be liable for any claim, damages or other liability arising from the use of the document.The above-mentioned permissions do not apply to content supplied by third parties. Therefore, for documents where the copyright vests in a third party, permission for reproduction must be obtained from this copyright holder.ASSESSMENT AND CONTROL OF DNA REACTIVE (MUTAGENIC) IMPURITIES IN PHARMACEUTICALS TO LIMIT POTENTIALCARCINOGENIC RISK为限制潜在致癌风险而对药物中DNA活性(诱变性)杂质进行的评估和控制ICH Harmonised Tripartite GuidelineICH三方协调指南Having reached Step 4 of the ICH Process at the ICH Steering Committee meeting on 5 June 2014, this Guideline is recommended for adoption to the three regulatory parties to ICHASSESSMENT AND CONTROL OF DNA REACTIVE (MUTAGENIC) IMPURITIES IN PHARMACEUTICALS TO LIMIT POTENTIALCARCINOGENIC RISK为限制潜在致癌风险而对药物中DNA活性(诱变性)杂质进行的评估和控制1. INTRODUCTION概述The synthesis of drug substances involves the use of reactive chemicals, reagents, solvents, catalysts, and other processing aids. As a result of chemical synthesis or subsequent degradation, impurities reside in all drug substances and associated drug products. While ICH Q3A(R2): Impurities in New Drug Substances and Q3B(R2): Impurities in New Drug Products (Ref. 1, 2) provides guidance for qualification and control for the majority of the impurities, limited guidance is provided for those impurities that are DNA reactive. The purpose of this guideline is to provide a practical framework that is applicable to the identification, categorization, qualification, and control of these mutagenic impurities to limit potential carcinogenic risk. This guideline is intended to complement ICH Q3A(R2), Q3B(R2) (Note 1), and ICH M3(R2): Nonclinical Safety Studies for the Conduct of Human Clinical Trials and Marketing Authorizations for Pharmaceuticals (Ref. 3).原料药合成牵涉到使用活性化学物质、试剂、溶剂、催化剂和其它工艺助剂,导致在所有原料药及其制剂中会残留有化学合成或其降解产物、杂质。
介绍蚊子的英语作文
The Mosquito:A Tiny but Significant InsectMosquitoes are small,flying insects belonging to the family Culicidae. Despite their diminutive size,mosquitoes have a significant impact on ecosystems and human health.Known for their irritating bites and role as disease vectors,mosquitoes are both fascinating and formidable.This essay will explore the characteristics,behavior,habitat,ecological significance,and interactions of mosquitoes with humans.Characteristics of MosquitoesMosquitoes possess several distinctive features that make them easily recognizable:Physical Appearance:Mosquitoes have slender bodies,long legs,and a pair of narrow wings.They typically measure between3to6millimeters in length.Their bodies are covered with tiny scales,giving them a slightly fuzzy appearance.Mosquitoes have elongated mouthparts called proboscises,which they use for feeding.Species Diversity:There are over3,500species of mosquitoes,each with unique behaviors,sizes,and habitat preferences.Some well-known species include the Aedes aegypti(yellow fever mosquito),Anopheles gambiae(malaria mosquito),and Culex pipiens(common house mosquito).Antennae and Sensory Organs:Mosquitoes have highly sensitive antennae and sensory organs that help them detect carbon dioxide, body heat,and other chemical cues emitted by their hosts.These sensory adaptations enable them to locate potential blood meals.Behavior and Life CycleMosquitoes exhibit a range of behaviors and have a complex life cycle:Feeding Habits:Female mosquitoes feed on the blood of humans and animals to obtain the necessary nutrients for egg development.Male mosquitoes,on the other hand,primarily feed on nectar and plant juices. The proboscis of female mosquitoes is adapted for piercing the skin and sucking blood.Reproduction and Life Cycle:Mosquitoes undergo complete metamorphosis,which includes four stages:egg,larva,pupa,and adult. Female mosquitoes lay their eggs in or near standing water.The eggs hatch into aquatic larvae,commonly known as wrigglers,which feed on organic matter in the water.After several molts,the larvae transform into pupae,called tumblers.The pupal stage lasts for a few days,after which adult mosquitoes emerge.Behavior and Movement:Mosquitoes are most active during dawn and dusk,although some species are active during the day.They are attracted to their hosts by body heat,carbon dioxide,and other chemical signals.Mosquitoes are capable of flying short distances and are often found near their breeding sites.Hibernation and Diapause:In colder climates,some mosquito species enter a state of hibernation or diapause to survive the winter.They seek shelter in protected areas such as basements,attics,and tree holes.Habitat and DistributionMosquitoes are found in a wide range of habitats across the world:Natural Habitats:Mosquitoes thrive in environments with standing water,as this is essential for their breeding.They are commonly found in marshes,swamps,ponds,and containers that collect rainwater.Urban areas with poor drainage and stagnant water are also ideal habitats for mosquitoes.Global Distribution:Mosquitoes are distributed across all continents except Antarctica.Their ability to adapt to various climates and conditions has allowed them to become one of the most widespread insects.Ecological ImportanceMosquitoes play several important roles in their ecosystems:Food Web Contribution:Mosquito larvae are an important food source for various aquatic organisms,including fish,amphibians,and other insects.Adult mosquitoes provide a food source for birds,bats,and spiders.Their presence supports the diets of many predators and contributes to biodiversity.Pollination:While not primary pollinators,some mosquito species visit flowers for nectar and can contribute to pollination.This occasional pollination activity supports plant reproduction and biodiversity.Interactions with HumansMosquitoes have a range of interactions with humans,both positive and negative:Disease Transmission:Mosquitoes are known vectors of various diseases, including malaria,dengue fever,Zika virus,West Nile virus,and chikungunya.These diseases pose significant public health challenges and can lead to severe illness and death.Effective mosquito control measures are essential for reducing the transmission of these diseases.Nuisance and Pest Control:Mosquito bites can cause itching,irritation, and allergic reactions.Their presence in homes and outdoor areas can be a nuisance.Effective pest management strategies,such as eliminatingstanding water,using insect repellents,and installing screens,are essential for minimizing their impact.Scientific Research:Mosquitoes are of interest to scientists studying insect behavior,disease transmission,and vector control.Research on mosquitoes has provided insights into topics such as host-seeking behavior,resistance to insecticides,and the development of vaccines and treatments for mosquito-borne diseases.Cultural Significance:Mosquitoes have appeared in various cultural contexts,including folklore,literature,and art.They are often associated with themes of persistence,annoyance,and danger,reflecting their impact on human societies.ConclusionMosquitoes are tiny but significant insects that play crucial roles in their ecosystems and have a variety of interactions with humans.Their unique characteristics,behaviors,and ecological importance make them fascinating subjects of study and appreciation.Understanding and managing mosquitoes can lead to greater awareness of the importance of public health,disease prevention,and the need to protect natural environments.By fostering a deeper connection to the natural world and recognizing the ecological significance of these persistent insects,we can work towards a more sustainable and harmonious relationship with the environment.Effective mosquito control measures and public health strategies are essential for minimizing the negative impacts of mosquitoes while appreciating their role in the ecosystem.。
氧化应激预适应减轻骨髓间充质干细胞氧化应激损伤
细胞与分子免疫学杂志(Chin J Cell Mol Immunol)2021, 37(2)105•论著•文章编号:1007-8738(2021 )024105>08氧化应激预适应减轻骨髓间充质干细胞氧化应激损伤何华宾1,张飞,彭吾训2,张健2,袁大江3,郑应刚3,王贞文3('赣南医学院第一附属医院骨科,江西赣州 341000 ; 2贵州医科大学附属医院创伤外科,贵州贵阳550004; 3贵州医科大学,贵州贵阳550004)[摘要]目的探讨氧化应激预适应对骨髓间充质干细胞(BMSC)氧化应激损伤的影响。
方法通过密度梯度离心联合贴壁 法分离培养BMSC,分为对照组(只加培养液)、预处理组(用50 pm ol/L H202预处理8 h,再用1000 pm ol/L H202持续处理 24 h)、氧化损伤组(直接用1000 (xmol/L H202持续处理24 h)。
采用2', 7'-二氯二氢荧光素二乙酸酯(DCFH-DA)染色检测细 胞活性氧(R0S)水平;JC-1染色法检测线粒体膜电位;原位末端脱氧核糖核酸转移酶标记技术(TUNEL)检测D NA损伤;硫代 巴比妥酸(TBA)法检测丙二醛(MDA)含量;水溶性四唑盐l(WST-l)法检测超氧化物歧化酶(SOD)活力;CCK-8法检测细胞活 力及流式细胞术检测细胞凋亡。
结果与氧化损伤组相比,预处理组R O S水平降低,线粒体膜电位升高,D N A损伤减轻,MDA含量明显减少,SO D活力及细胞活力提高,细胞凋亡率显著降低。
结论氧化应激预适应可增强BMSC抗氧化应激能力,并促进其在氧化应激条件下的存活。
[关键词]骨髓间充质干细胞(BMSC);氧化应激;预适应;过氧化氢[中图分类号]R392-33, 0611.62 [文献标志码]AOxidative stress preconditioning alleviates oxidative stress-induced damage of bone marrow mesenchymal stem cellsH E H u a b in1, Z H A N G F e i2*, P E N G W uxun2, Z H A N G J ia n2, YUAN D ajian g3, Z H E N G Y inggang3, W A N G Z henw en31Department of Orthopaedics, First Affiliated Hospital, Gannan Medical University, Ganzhou 341000;2Department of Traumatology, Affiliated Hospital of Guizhou Medical University, Guiyang 550004;3Guizhou Medical University, Guiyang 550004, China* Corresponding author, E-mail :*****************[A b s tra c t] Objective To investigate the effect of oxidative stress preconditioning on the oxidative stress-induced damage of bone marrow mesenchymal stem cells ( BMSCs). Methods BMSCs were isolated and cultured by density gradient centrifugation combined with adherence method. The cells were divided into three groups:control group (control medium), oxidative damage group (treated with 1000 pmol/L H202for 24 hours), and preconditioning group (preincubated with 50 pmol/L H202for 8 hours before treatment with 1000 pmol/L H202for 24 hours). DCFH-DA staining was used to analyze the level of reactive oxygen species ( ROS). Mitochondrial membrane potential was measured by JC-1 staining. DNA damage was detected by TUNEL. Malondialdehyde (MDA) content was detected by thiobarbituric acid (TBA) method, and superoxide dismutase (SOD) activity was detected by water soluble tetrazolium-1 (W ST-1) assay. CCK-8 assay was used to detect cell viability and flow cytometry to detect cell apoptosis. Results Compared with the oxidative damage group, the preconditioning group had reduced ROS level, reduced DNA damage, higher mitochondrial membrane potential, significantly decreased MDA content, increased SOD activity, increased ceil viability, and significantly decreased apoptosis. Conclusion Oxidative stress preconditioning can enhance the anti-oxidative stress ability of BMSCs and promote its survival under oxidative stress.[Key words] bone marrow mesenchymal stem cells (BMSCs) ;oxidative stress;preconditioning;hydrogen peroxide收稿日期:2019-12~04;接受日期:2020-11-21基金项目:国家自然科学基金青年基金(81902226);国家自然科学基金地区基金(81860387);贵州省自然科学基金(黔科合基础[2020]1Y311);贵州省卫生健康委员会科学技术基金(gzw jk j2019-l-134);贵州医科大学2018年度学术新苗培养及创新探索专项项目(玲科合平台人才[2018] 577943)作者简介:何华宾(1983 -),男,江西赣州人,主治医师,医学硕士T el:159****0780;E-m ail:17784780@* 通讯作者,张飞,E-m ail: *****************106细胞与分子免疫学杂志(Chin J Cell M ol Immunol)2021,37(2)骨髓间充质干细胞(b o n e m esen ch ym al ste m cell, BMSC)在骨髓组织中含量丰富,具有强大的再生能 力和多向分化潜能[1],而且BMSC移植不存在免疫 排斥反应[24],因此已成为细胞及基因治疗常用的细 胞,特别是作为种子细胞在组织工程学方面应用最 为广泛[5~。
艾糍英语作文
艾糍英语作文Airis is a fascinating and complex topic that has captivated the minds of people for centuries. As a unique and versatile substance, it has found its way into various aspects of our lives, from the scientific realm to the artistic and cultural spheres. In this essay, we will delve into the intricacies of Airis, exploring its properties, its applications, and its impact on our world.At its core, Airis is a naturally occurring substance that is essential for the sustenance of life on our planet. It is a colorless, odorless, and tasteless gas that makes up approximately 78% of the Earth's atmosphere. This ubiquitous presence is a testament to its importance in supporting the delicate balance of our ecosystem. Airis plays a crucial role in the process of respiration, providing the oxygen that living organisms require to convert the energy stored in food into usable forms.Beyond its fundamental role in sustaining life, Airis has also found numerous applications in various industries and fields of study. In the realm of science, Airis is a vital component in numerous experimentalprocedures and technological advancements. Its inert nature and unique properties make it an ideal medium for a wide range of applications, from cryogenics to the manufacture of specialized equipment.One of the most remarkable applications of Airis can be found in the field of medicine. Airis has been used extensively in anesthesia, where it is combined with other gases to create the anesthetic mixtures that allow for safe and painless surgical procedures. The ability of Airis to induce a state of unconsciousness without causing significant side effects has made it an indispensable tool in modern healthcare.Moreover, Airis has also found its way into the realm of art and culture. In the world of sculpture and pottery, Airis is often used as a protective atmosphere during the firing process, ensuring that the final products maintain their desired properties and aesthetic qualities. Additionally, Airis has been employed in the creation of special effects in the entertainment industry, where its ability to create dramatic visual elements has been exploited to great effect.Despite its numerous applications and benefits, Airis is not without its challenges and controversies. The increasing demand for Airis, particularly in industrial and technological sectors, has led to concerns about the sustainability of its extraction and production. Asthe world's population continues to grow, the pressure on Airis resources is likely to intensify, necessitating the development of more efficient and environmentally-friendly methods of extraction and utilization.Furthermore, the potential impact of Airis on the environment has also been a subject of ongoing debate. While Airis itself is generally considered to be a non-toxic and non-reactive gas, the processes involved in its extraction and use can have significant environmental implications. The energy-intensive nature of Airis production, as well as the potential for accidental releases or leaks, have raised concerns about its carbon footprint and its contribution to climate change.In response to these challenges, various initiatives and research efforts have been undertaken to address the sustainability and environmental impact of Airis. Scientists and engineers are working tirelessly to develop new technologies and processes that can reduce the energy consumption and emissions associated with Airis production. Additionally, efforts are being made to explore alternative sources of Airis, such as the recovery and recycling of the gas from various industrial processes.As we look to the future, the role of Airis in our world is likely to continue evolving. With the ever-increasing demand for its unique properties and applications, the need to balance its benefits with itsenvironmental impact will become increasingly crucial. Through continued research, innovation, and responsible stewardship, we can harness the potential of Airis while ensuring that its use is sustainable and environmentally responsible.In conclusion, Airis is a remarkable and multifaceted substance that has played a pivotal role in shaping our world. From its fundamental importance in sustaining life to its diverse applications in science, medicine, and the arts, Airis has proven to be an indispensable component of our modern society. As we navigate the challenges and opportunities presented by this remarkable gas, it is our collective responsibility to ensure that its use and development are guided by principles of sustainability, innovation, and environmental stewardship. By doing so, we can unlock the full potential of Airis and secure its place as a vital resource for generations to come.。
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The contribution of reactive carbon emissions from vegetation to the carbon balance of terrestrial ecosystemsAlex Guenther*Atmospheric Chemistry Division,National Center for Atmospheric Research,1850Table Mesa Dr.,Boulder CO 80307,USAReceived 15May 2001;accepted 10December 2001AbstractAbout 2.4Pg (1Pg ¼1015g)of carbon is emitted annually into the atmosphere as reactive compounds and most of it is eventually oxidized to CO 2.Isoprene,a -pinene,methanol,carbon monoxide and other compounds emitted by ter-restrial vegetation contribute about half of the total flux and are estimated to produce about 1Pg C as CO 2per year.The global average for vegetated surfaces is about 7g C m À2per year but could exceed 100g m À2per year at some tropical locations.The magnitude of these fluxes on both the landscape and global scales are small relative to the total carbon emission or deposition but are significant relative to the net fluxes.Reactive carbon fluxes are very sensitive to landcover and climate change and may vary significantly due to future perturbations.This paper summarizes what is known about reactive carbon emissions from vegetation including the magnitude of local,landscape,and global scale fluxes and their contribution to atmospheric CO 2.Reasons for including this term in carbon flux models are presented as well as the potential importance on various spatial scales.Past,present and future reactive carbon emissions are expected to differ significantly and the implications of this are discussed.Ó2002Elsevier Science Ltd.All rights reserved.Keywords:CO 2precursors;Vegetation emissions;VOC;Reactive carbon;Carbon cycle1.IntroductionThe global exchange of carbon between terrestrial surfaces and the atmosphere is dominated by the emis-sion and deposition of carbon dioxide (CO 2)but there are other carbon containing compounds that comprise several percent of the total flow of carbon between landscapes and the atmosphere (Went,1960)but have only recently been mentioned as a potentially significant term in analyses of carbon budgets (e.g.,Clark et al.,2001).These compounds undergo chemical reactions in the atmosphere and are referred to in this paper as re-active carbon compounds (RCCs).Since the ultimate atmospheric fate of most of these compounds is oxida-tion to carbon dioxide,these CO 2precursors may need to be included in efforts to understand the processes controlling atmospheric global CO 2concentrations.The annual global emission of all reactive carbon is esti-mated to be about 2.4Pg (1015g)of carbon (Muller,1992;Guenther et al.,1995).These estimates include approximately 0.6Pg C as carbon monoxide (CO),0.5Pg C as methane,0.5Pg C as isoprene,and 0.8Pg C as other volatile organic compounds (VOC).About half of this total is associated with emissions from terrestrial vegetation;the remainder is primarily from technologi-cal sources,biomass burning,and microbes.Since most RCCs are oxidized to CO 2in the atmo-sphere,vegetation RCC emissions are likely to produce more than 1Pg C as CO 2each year through chemical oxidation.This source is large relative to minor an-thropogenic sources such as cement production,0.06Pg C as CO 2in 1990,and is nearly 20%of the 1990totalChemosphere 49(2002)837–844/locate/chemosphere*Tel.:+1-303-497-1447;fax:+1-303-497-1477.E-mail address:guenther@ (A.Guenther).0045-6535/02/$-see front matter Ó2002Elsevier Science Ltd.All rights reserved.PII:S 0045-6535(02)00384-3fossil fuel emission of about6Pg C as CO2(Andres et al.,2000).The production of CO2from the RCC emissions associated with fossil fuels is already included in estimates of the fossil fuel source even though it is less than0.1Pg C(Andres et al.,2000).Vegetation RCC emissions respond to changes in biophysical forcing differently than the terrestrial heterotrophic CO2respi-ration term used in carbon budget models and so should be considered separately in these models.This is par-ticularly important since RCCfluxes are more sensitive to landcover and climate change than are CO2respira-tionfluxes(e.g.,Constable et al.,1999;Guenther et al., 1999).This manuscript describes the sources and types of RCC emitted from vegetation and discusses the current understanding of the processes controlling production and emission.The atmospheric fate of these compounds, including the fraction converted to CO2,is also consid-ered.The potential contribution of these compounds to the total carbon balance is then assessed at leaf,land-scape,regional and global scales.2.Reactive carbon compoundsAll living organisms produce and emit RCCs.Plants produce a particularly wide variety(>10000com-pounds)of RCCs.Most of these compounds have a low volatility or are stored in structures that present sub-stantial barriers to emission to the atmosphere.As a result,a relatively small number of the RCC occurring within plants contribute to the total RCC emission into the atmosphere.The major RCC emissions can be grouped into three categories:terpenoid compounds, other VOC,and other reactive carbon.The compounds and emission sources summarized here are described in more detail by Kesselmeier and Staudt(1999)and Guenther et al.(2000).2.1.Terpenoid compoundsThe terpenoids are an important class of organic compounds that include hemiterpenes(containingfive carbon atoms),monoterpenes(10carbon atoms),ses-quiterpenes(15carbon atoms)and diterpenes(20car-bon atoms).Only two hemiterpenes,isoprene and methyl butenol,are emitted from vegetation in signifi-cant quantities.Isoprene has the single largest contri-bution to the total global vegetation RCC emission and is the dominant emission from many landscapes (Guenther et al.,1995).Methyl butenol is the dominant RCC emission from some regions in western North America but makes only a small contribution to the global total(Harley et al.,1998).Less than20of the more than1000monoterpene compounds found in plants are responsible for nearly all monoterpene emissions into the atmosphere.Global total monoterpene emissions are dominated by a-pinene, b-pinene,D3-carene,d-limonene,camphene,myrcene, sabinene,b-phellandrene and q-cymene but other mono-terpenes can be regionally important(Geron et al., 2000).About half of the total monoterpeneflux is a-pinene.Only a few(e.g.,b-caryophyllene)of the ap-proximately3000sesquiterpenes and none of the approximately2000diterpenes are thought to be emitted into the atmosphere in significant amounts,although there have been few attempts to quantify emissions of these compounds.2.2.Other VOCIn addition to terpenoids,there are many other VOC that are emitted by vegetation into the atmosphere. These include hydrocarbons such as alkanes(e.g.,meth-ane,ethane),alkenes(e.g.,ethene,propene)and arenes (e.g.,toluene).Of these compounds,only ethene,pro-pene and butene are thought to have substantial emis-sion rates.Additional VOC emitted by vegetation include sulfur(e.g.,dimethyl sulfide)and nitrogen con-taining compounds(hydrogen cyanide).These com-pounds are typically emitted at relatively low rates but emissions can be high under certain conditions and in specific locations(Guenther et al.,2000).Oxygenated compounds contribute about half of the estimated global total vegetation RCC emission (Guenther et al.,1995).These partially oxidized com-pounds include alcohols(e.g.,methanol,ethanol,hexe-nol),aldehydes(e.g.,acetaldehyde),ketones(e.g., acetone),organic acids(e.g.,formic acid),ethers(e.g., 1,8cineole),and esters(hexenyl acetate).As is the case for the other categories,a few of the many oxygen-ated VOC contribute most of the total RCCflux(Kes-selmeier and Staudt,1999).Methanol,acetone and acetaldehyde are among the major emissions(Guenther et al.,2000).However,there are very few emission rate measurements of most of these oxygenated com-pounds so there may be others that make a large con-tribution.2.3.Other reactive carbonOther RCC include CO and particulate carbon.An-nual emissions of CO from living,senescing and dead plant leaves are estimated to be about0.1Pg C(Tarr et al.,1995).There is both direct evidence of CO emis-sion from vegetation,from enclosure measurements,and indirect evidence from atmospheric concentration dis-tributions.The global total CO source is reasonably well constrained but there are large uncertainties associated with individual sources and their distributions.Carbon is a large mass fraction of many of the par-ticles that move between the atmosphere and terrestrial838 A.Guenther/Chemosphere49(2002)837–844surfaces.Some of this carbon is emitted directly from vegetation and consists of organic material,such as plant waxes(Rogge et al.,1996).Additional carbon in these particles originates from RCC that are emitted as volatiles and are later deposited to particles.It is pos-sible that this source represents a significant RCCflux in some regions but there is a lack of quantitativeflux es-timates(Mazurek et al.,1997).3.Production and emission pathwaysFoliage(leaves and needles)is the primary source of RCC emissions from vegetation although other live tis-sues(e.g.,stem,cortical,root and reproductive)are minor contributors.Trees are the major source of global emissions although shrubs and herbaceous plants also contribute.There are many different processes leading to the production and emission of RCC.Some pathways are responsible for the emission of many different RCC and some RCC can be emitted by more than one pathway.The production and emission pathways of these carbon compounds are described by Kesselmeier and Staudt(1999),Fall(1999)and Guenther et al.(2000) and are summarized here.Compounds produced in plant chloroplasts dominate the global RCCflux.These compounds are produced in the presence of light by an enzymatic process and then emitted almost immediately(Silver and Fall,1995).Only about a third of all tree species emit RCC in this manner but the relatively high emission rates allow these pro-cesses to dominate global VOC emissions.The com-pounds emitted by this pathway include isoprene, methyl butenol and,in some cases,monoterpenes(e.g., a-pinene).Investigations of the mechanisms responsible for the production and emission of these compounds have focused on isoprene,which accounts for the ma-jority of the total RCC emitted in this manner.Isoprene moves from the chloroplast into the intercellular space of the leaf and then exits the plant via the stomata. Isoprene synthase activity is controlled primarily by leaf temperature and light(photosynthetically active radia-tion)with increased activity,resulting in increased iso-prene emission,occurring at higher temperature and light(Silver and Fall,1995).Isoprene emissions are near zero in the dark.Emissions depend both on the current temperature and light conditions and those to which a leaf has previously been exposed(Petron et al.,2001). Leaf age,phenology,nutrients,water stress,and other factors can also influence isoprene emission.Additional RCCs are emitted from specialized tissues that have a role in plant defense(Fall,1999).These compounds act as a solvent for creating a physical barrier and/or as feeding deterrents to pests and are dominated by monoterpenes(C10)with a large number, but small quantity,of sesquiterpenes(C15)found within leaves.The biochemistry of these compounds and the genetic and ecological controls of these plant defense mechanisms have been studied for many economically significant plants(McGarvey and Croteau,1995).Di-urnal variations in emissions of these stored compounds typically range from about a factor of two to four and are primarily controlled by temperature.The relation-ship between emission and temperature is exponential and is dependent on the compound and the resistance properties of the plant.Other RCCs emitted by vegetation are produced in unspecialized plant tissues.Some compounds(e.g., ethane,ethanol,methyl salicylate,octanone and meth-oxyphenol)act by either repelling pests or attracting predators.Other VOC(e.g.,2-hexenal,3-hexenol,3-hexenal,3-hexenyl acetate,hexanal,and hexanol)may have antibiotic properties and can be emitted from dam-aged plants at high rates.There is a reasonably good understanding of many of the general mechanisms as-sociated with the production and release of these VOC (Fall,1999).Ethene is a volatile hormone that controls numerous aspects of plant growth and development,including fruit ripening,seed germination,flowering,senescence,and plant defense.The biochemistry of ethene production is relatively well understood(Fall,1999).Ethene produc-tion is widespread in plants,which should make it a significant emission from most landscapes.There are a large number of VOCs that act asfloral attractants including alkanes,alcohols,esters,aromat-ics,nitrogen compounds,monoterpenes and ses-quiterpenes.Theseflower scent emissions are a small fraction of the annual global VOC emissions but could be a significant component in some locations at certain times.There are many other plant metabolic processes that produce VOCs that ultimately are emitted into the atmosphere.The emission of these compounds may be unintentional and due simply to the leakage of plant metabolites.The formation and emission of CO by live plant fo-liage is the result of direct photochemical transformation and occurs inside the leaf(Tarr et al.,1995).Organic carbon particles can be formed from the crystalline-like surface waxes that are present on many leaves.These particles become dislodged by the wind and/or by abrasion resulting from leaves rubbing against each other.In addition to carbon emissions from living vegeta-tion,there are also significant emissions from leaves excised from the plant,whether naturally or during harvest.This includes emissions of VOC,CO and par-ticles.Drying vegetation,in particular,is a large source of VOC(e.g.,acetaldehyde,methanol,and acetone) (Warneke et al.,1999).These compounds are produced and emitted by abiotic processes and are not the result of microbial activity.A.Guenther/Chemosphere49(2002)837–8448394.Atmospheric fate of reactive carbon compoundsMost,but not all,of the volatile RCCs emitted by vegetation are transformed into CO2in the atmosphere. The complete atmospheric oxidation schemes for most VOC are not well known and are complicated by a large number of chemical reactions and intermediate com-pounds and by the possibility of deposition to particles or the earth surface.In addition,the atmospheric fates of the many different compounds are dependent on conditions such as the atmospheric abundance of other chemical species(e.g.,oxides of nitrogen).The possible atmospheric fates of a RCC includes(1) deposition as the originally emitted compound,(2)oxi-dation and subsequent deposition as another RCC,(3) condensation on particles and subsequent deposition, and(4)oxidation to CO2.The initial fate of most RCCs is oxidation in the atmosphere.The amount deposited without undergoing any chemical reactions is thought to be about10%for less reactive RCCs such as CO(Gra-nier et al.,2000)and about5%for reactive compounds such as isoprene(Cleveland and Yavitt,1997).The de-position of some VOC such as methanol may exceed 10%.Some RCC emissions are at least partially converted to particles and eventually deposited in this form.The aerosol yields of these compounds range from less than 15%for some monoterpenes to over80%for sesquit-erpenes(Hoffmann et al.,1997).If we assume that5–25%of total RCC emissions form at least some particles and that the average particle yield for these RCC is between15%and60%then the range for global annual particle production is about1–15%of the total emission.A reasonable best estimate,based on the analysis of Griffin et al.(1999),is that about5%of total RCC emissions are deposited as particles.The carbon depos-ited to particles could be chemically transformed into volatile compounds that are emitted and oxidized to CO2but most of this carbon is probably deposited in particulate form and so is a negligible source of atmo-spheric CO2.However,since the carbon can be emitted and deposited in different locations there is the possi-bility for influencing local carbon budgets.Although there are considerable uncertainties asso-ciated with estimates of CO2production from RCC emissions,it is likely that complete oxidation to CO2is the fate of a large fraction(>75%)of the total emitted RCC.This fraction has been estimated to be about80% for the dominant biogenic RCC,isoprene(Granier et al., 2000).It is probably somewhat higher for some RCCs, e.g.CO,and somewhat lower for others such as mon-oterpenes and methanol.Developers of anthropogenic CO2inventories assume that much of RCC produced by fossil fuels is soon converted to CO2in the atmosphere and so include these emissions as CO2(Andres et al., 2000).5.Leaf-level carbon balanceLeaves are responsible for both CO2and RCC ex-change between terrestrial ecosystems and the atmo-sphere.Thus the carbon balance of an individual leaf provides a starting point for considering the role of RCCs in the carbon balance of these landscapes.The net exchange of carbon between the atmosphere and leaves can be quantified using dynamic leaf enclosure systems. The CO2flux measured by these tools is the net result of the uptake of CO2by photosynthesis and the emission of CO2by autotrophic respiration.Changes in one or both of these processes can result in net CO2fluxes that range from uptake to emission.Mature leaves exposed to moderate temperatures and daytime light condi-tions typically have net uptake emissions oc-cur at night and with some daytime conditions,e.g., high temperatures and low light.The relative contribu-tion of RCCs to the leaf total carbonflux is highly de-pendent on the magnitude of the net CO2flux and comparisons of CO2and RCCfluxes should consider the range of typical environmental and phenological conditions.The relative magnitude of the isoprene and net CO2fluxes from a single eucalyptus leaf is shown in Fig.1for a range of leaf temperatures(note different scales).These observations were made with the system described by Guenther et al.(1991).Isoprene tends to have a tem-perature maximum that is approximately20°C higher than the temperature maximum for photosynthesis (Guenther et al.,2000).The amount of isoprene emitted relative to the net CO2uptake is less than1%for tem-peratures below the temperature maximum for photo-synthesis,which is about20°C for the leaf shown in Fig. 1,but greater than10%for temperatures above40°C.A better estimate of the relative carbonflux can be made by modelingfluxes over a realistic range of conditions. For this comparison,the photosynthesis and isoprene emission models described by Harley and Baldocchi (1995)and Harley et al.(1997)for oak leaves at a tem-perate site was used along with the leaf-level light and temperature variations recorded at this site by Guenther et al.(1996a,b)to estimate isoprene and CO2fluxes from several leaves over a one week period.The percentage of carbon emitted as isoprene ranged from less than0.1% to over8%of net CO2uptake while the daily values ranged from about1%to4%.Only about a third of all woody plants,and very few herbaceous plants,emit isoprene at these high rates. However,there are many other forms of RCCs.Some (e.g.,CO,ethene,hexenol)are widespread among plants but have much lower rates of emission.Other com-pounds including methyl butenol,acetone,and a-pinene can be emitted at high rates from the leaves of undis-turbed plants(Guenther et al.,2000).The leaves of stressed plants(e.g.,heat,drought,ozone,infections)840 A.Guenther/Chemosphere49(2002)837–844may have particularly high VOC emissions(Kesselmeier and Staudt,1999).ndscape level exchanges of carbonGuenther et al.(1995)estimated area average annual VOC emissions from about80terrestrial ecosystems. Annual emission estimates ranged from less than1 g C mÀ2for landscapes with low productivity or short growing seasons,such as deserts and tundra,to about40 g C mÀ2yrÀ1for tropical rainforests,which have a high productivity and long growing season.These estimates represent global ecosystem rge variations in actual emission rates,both higher and lower,are ex-pected for specific locations within a global ecosystem type.Above-canopyflux measurements of RCCs have generally been limited to isoprene and a few mon-oterpenes although other compounds such as methyl butenol,ethene,propene,methanol,acetaldehyde and acetone have been measured in a few studies(Goldstein et al.,1996;Karl et al.,2001).The recent development of fast response analyzers for a larger range of RCCs has greatly increased capabilities for eddy covariance mea-surements(e.g.,Karl et al.,2001).Peak hourly isoprene fluxes measured in ten North American landscapes, primarily forests,ranged from7to15mg C mÀ2hÀ1with peak daily totals of about0.03–0.1g C mÀ2(Lamb et al., 1985;Guenther et al.,1996a,b;Goldstein et al.,1998; Guenther and Hills,1998;Fuentes and Wang,1999; Fuentes et al.,1999;Westberg et al.,2000).Although none of these studies extended over an entire year,ex-trapolation of thesefluxes using the model of Guenther et al.(1995)indicates that annual isoprene emissions at these sites are between2and10g C mÀ2.If all of the trees at these sites were isoprene emitters,instead of the 20–35%that occur in these mixed forests and wood-lands,thefluxes would be a factor of3–4higher.These higherfluxes are expected for monospecific plantations of isoprene emitting trees such as poplars,sweetgum and eucalyptus where the model predicts annual isoprene fluxes exceeding30g C mÀ2.Tropical forest conversion to monoculture plantations of isoprene emitters,such as eucalyptus and oil palm,is expected to result in even higher annual isoprene emissions,>60g C mÀ2,due to the much longer growing season.Since other RCC can be emitted at similar rates,it is likely that some tropical landscapes have annual emission rates that exceed100 g C mÀ2.The highest annual CO2uptake rates measured by eddy covariance are between200and600g C mÀ2 (Malhi et al.,1999)indicating that RCCfluxes exceeding 50g C mÀ2would be significant even in these landscapes. Phillips et al.(1998)investigated tree inventories at68 tropical forest sites and estimated an annual carbonflux of68g C mÀ2.The average RCC emission estimated for all tropical forests by Guenther et al.(1995)is greater than50%of this carbonflux.The generally lower RCC fluxes associated with temperate regions indicate that they will have a significant impact on net carbon ex-change only in landscapes with low net carbonfluxes or very high RCC emissions.7.Global carbon cycleDirect measurements of carbonfluxes do not extend to regional or global scales.Instead,models are used to estimate the carbon balance of these areas.Modeling efforts have important political implications and could be used to direct and evaluate carbon management strategies.The Amazon basin has received considerable attention due to the large-scale landcover changes dur-ing the past several decades and because of recent re-ports that undisturbed forests in this region could be large carbon sinks(Malhi et al.,1999).For example, Tian et al.(1998)used a terrestrial ecosystem model to estimate annual Amazonian carbonfluxes for1980–1994.They estimated an average annual netprimary A.Guenther/Chemosphere49(2002)837–844841production(NPP)for the entire Amazon basin of5Pg C and a heterotrophic respiration(R H)of4.8Pg resulting in an average annual net ecosystem production(NEP)of 0.2Pg C.The Tian et al.study demonstrated that there were large interannual variations in net Amazonian carbonfluxes with NEP ranging from an emission of0.2 Pg C to an uptake of0.7Pg C.The model described by Guenther et al.(1995,1999,2000)predicts that the av-erage annual RCC emission from Amazonian vegetation exceeds0.2Pg ing climate model predictions (NCAR CCM3)for a14year period,estimates of the annual total RCCflux varied between0.18and0.24 Pg C.The predicted standard deviation for total RCC fluxes was about10%of the mean.In comparison,the interannual variability presented by Tian et al.(1998)for a14year period was about6%for NPP and2%for R H. These results illustrate the sensitivity of RCCfluxes to interannual changes in climate.The estimated annual global RCC emission from vegetation predicted by the same model(Guenther et al., 1995,1999,2000)is about1.2Pg C.As discussed above, these emissions should result in the annual production of about1Pg C as CO2per year.This is a smallflux rel-ative to the global annual NPP of40–78Pg C(Melillo et al.,1993)but is significant relative to the annual carbon emission from fossil fuel and cement production (about6Pg in1990),the atmospheric increase in CO2 abundance(3.3Pg C)and the‘‘missing sink’’(1.8Pg C) that represents the imbalance of the known terms(Malhi et al.,1999).Given the large uncertainties associated with the individual terms estimated by models of global terrestrial carbonfluxes(e.g.,leaf,above-ground wood, root,and heterotrophic respiration),the addition of another uncertain term,RCC emissions from vegeta-tion,may not improve the accuracy of global estimates of carbonfluxes in the near future.The greater impor-tance of including the RCCfluxes is that they are ex-pected to respond differently to global changes in climate and landcover and so may be needed for an accurate understanding of future changes in the global carbon cycle.Due to the large differences in emission rates associ-ated with different vegetation types,there is a substantial potential for landuse change to influence RCC emissions (e.g.,Guenther et al.,1999).Since woody plants tend to have much higher isoprene and monoterpene emissions rates,compared to crops and grasses,deforestation tends to reduce RCC emissions.However,the tree plantations and secondary forests that replace primary forests often have even larger emission rates.There is an equally large potential for perturbed RCC emissions as a result of climate change.Biogenic VOC emissions are very sensitive to temperature(Fig.1)and an increase of as little as2°C could lead to an increase in biogenic VOC emissions of more than25%.The overall result of expected future landuse and climate change is an in-creased biogenic VOC production that could result in significant perturbations in trace gas distributions and global biogeochemical cycles(e.g.,Constable et al., 1999).8.ConclusionsThe existence of large annualfluxes of RCCs from terrestrial vegetation was suggested by Went(1960) more than four decades ago.Vegetation RCC emissions are estimated to produce about1Pg C as CO2each year. The estimated global annual average is about7g C mÀ2 of RCC(Guenther et al.,1995)and thisflux is thought to range from<0.1to>100g mÀ2for specific locations but more long-term above-canopyflux measurements are needed to adequately characterize this range.In-creasing concentrations of CO2in the atmosphere,and the potential impact on global climate,has generated considerable interest in quantifying CO2sources and sinks but RCC(mainly VOC and CO)emissions from vegetation are rarely included in estimates of local,re-gional or global carbonfluxes.The current under-standing of vegetation RCC emissions does not allow us to rule out thesefluxes as potentially significant com-ponents of the global carbon cycle and the carbon bal-ance of at least some terrestrial sites.Net CO2fluxes between terrestrial landscapes and the atmosphere are quantified using complex models of NEP,which treat explicitly carbon uptake by photo-synthesis and losses through autotrophic and hetero-trophic respiration.The allocation of carbon to RCC production and RCC emission losses are not included explicitly in these models.Reasons expressed for omit-ting RCCs in earlier carbonflux modeling included the uncertainties associated with RCCfluxes and that pa-rameterization of CO2uptake in carbon models does not include the allocation of carbon to support the pro-duction of VOCs and so that carbon does not play a role in the carbon balance(Tian et al.,1999).Although RCC fluxes cannot be accounted for in NEP models by in-creasing heterotrophic respiration since they respond differently to biophysical drivers than do respiration processes,their omission was a reasonablefirst order approach for initial studies.RCCfluxes should be con-sidered in future studies since they are of similar mag-nitude,and have similar levels of uncertainty,as other terms that now receive explicit treatment.Their rela-tively high sensitivity to climate and landcover pertur-bations makes their inclusion particularly important for global change studies.RCC emissions have been pa-rameterized for global and regional models,primarily for use in numerical investigations of global tropo-spheric chemistry,and these estimates are improving (Guenther et al.,2000).Future studies of RCC emissions should take advantage of the resources focused on net842 A.Guenther/Chemosphere49(2002)837–844。