上海市居住区绿化空间结构对热环境的影响分析

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第34卷第6期 2016年12月
上海交通大学学报(农业科学版)
jOURNAL()F SHANGHAI jIAOTONG UNjVERSITY(AGRlCUL,TURAL SCIENCE>
VoI.34No.6 Dec.20】6
文章编号:1671—9964(2016)06一0061一07
DOI|10.3969/J.ISSN.167卜9964.2016.06.OlO
(Scho。1 of Agriculture and Bi0109y,Shanghai J【aotong University,Shanghai 200240,China)
Abstracf:To analyze the relatjonship between green space
areas
structure to
22

was
signi“cant p。sitive correlation between building density and the temperature.
基金项目:国家自然科学基金面上项目(31470702) 作者简介:南凯凯(1991).女,硕士生,研究方向:景观生态规划设计,E_mail:623648288@qq,com; 车生泉(1968一)为本文通讯作者,男,博士,教授,博士生导师,研究方向:景观生态规划设计,E—mall:chsq@Sjtu.edu.c“
factors affecting residential thermal
green
residential
building
density,
ratio,
arbor
proportion
and
fragmentation,connectivity,dispersion degree of green patches).The results showed that when green ratio 。f 4 communities residential
area
increased
lO%,the temperature
w。uld reduce 0.3,O.25,0.42 and 0.16
℃,respectively;while the temperature wouId reduce O.3,O.25,O.42 and O.1 6℃when arbor proportion increased 1 O%.Generally,there was
and thermal environment of residential
in Shanghai,4 typical communities were selected according
the 10cation and the age of the building,
including Huangpu Ruijin(center of the city,20+years),Xuhui Longhua(deputy city center,15+years),
上海交通大学学报(农业科学版)
Key words:residential area;ArcGIS;thermal environment;green structure;Shanghai
上海市居住区绿化空间结构对热环境的影响分析
南凯凯,李志刚,谢长坤,车生泉
(上海交通大学农业与生物学院,上海200240)
摘要:为了分析上海市居住区内部绿地空间结构和热环境的相关联系,根据地理位置和建设年 代选取4个典型社区(黄浦瑞金,徐汇龙华,闵行莘城和松江方松).利用遥感技术对影响居住区热 环境的主要关键因子(居住区面积、建筑密度、绿化覆盖率、乔木比例和绿地斑块破碎度、连通度、分 离度等)进行分析对比。结果表明,4个社区的居住区绿化覆盖率每增加10%,温度会相应下降 O.3、0。25、o。42乖o。16℃;乔木比例每增加10%,温度会相应下降0。37、0.39、O.41和0.16℃。 总体上,居住区温度与绿化覆盖率、乔木比例存在显著的负相关。绿化数量相对较少的老城区如黄 浦和徐汇,绿地斑块的破碎度、连通度、分离度也是主要影响因子;而绿化数量相对较多的新城区如 闵行和松江,温度与建筑密度存在极显著的正相关。 关键词:居住区;ArcGIS;热环境;绿化结构;上海 中图分类号:TU
relatively small,the
fragmentation,connectivity and dispersion degree of green patches were the main
trees
factors affecting the temperature;while in Son翊iang and Minhang,where the number of green relatively 1arge,there was 收稿日期:2015一09
Minhang Xincheng(suburban area,10—20 years)and Songjiang Fangsong(suburban town,5—10 years).We
used rem。te sensing environment(areas £仑chnol。gy of
to
analyze and compare pfir工1ary complex,
985.125;TU 119
文献标识码:A
Effect Of Green Space StruCtUre
On
the Thermal EnVi rOnment Of
ResidentiaI Area in Shanghai
小^AN Kni一忌口i,Lj Z矗i—g盘”g,Xf_E C矗口咒g一忍“72,CHE S矗P729—q“以咒

significant negatiVe cOrrelation between the temperature and
gFra Baidu bibliotekeen
ratio and arbor prop。rtion in residential areas.In Huangpu and Xuhui,where the number of green trees was
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