贴面砖、铺面砖,包括炉面砖及墙面砖,0.5%…(HS 690722)2017 巴拉圭

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疾病分类 Microsoft Excel 工作表

BNG040 BNG041 BNG042 BNG050 BNG051 BNG052 BNG053 BNG054 BNG060 BNG061 BNG070 BNG080 BNG090 BNG100 BNG101 BNG102 BNG103 BNG104 BNG105 BNG106 BNG110 BNG120 BNG121 BNG122 BNG123 BNG130 BNL000 BNL000 BNP000 BNP010 BNP020 BNP030 BNP040 BNP050 BNP051 BNP060 BNP070 BNP080 BNP090 BNP091 BNP100 BNP110 BNP111 BNP120 BNP130 BNP140 BNP150
积聚病积病聚病臌胀病水臌病气臌病血臌病虫臌病头痛病头风病眩晕病中风病痉病厥病气厥病血厥病痰厥病食厥病寒厥病热厥病郁病瘿病气瘿病肉瘿病瘿痈病胆胀病内科瘤病内科癌病脾系病（便秘病）胃脘痛病胃痞病叶酸病反胃病呕吐病暴吐病呃逆病嘈杂病噎膈病腹胀病卒腹痛病腹胀满病泄泻病暴泻病吐血病便血病齿衄病紫癜病
RRXSB CSB GZB GSKLB SJB LZB LJFB WWB TBNSB XBNSB FBNSB SSCXB SSTTB SHFRB SSHJB SHLBB SSWRMMB SSXYB SSCKB CBHCB CBNCB CBGCB CBNCB CBJPCB CBSCB CBXXCB CBTCB KSB WGKSB NSKSB FWB FYB XB CB BCB FZB FLB LXB BNB SYB FSB XTB HDB YHB YHB JHB WHB
BEZ080 BEZ090 BEZ100 BEZ110 BEZ120 BEZ130 BEZ140 BEZ150 BEZ151 BEZ152 BEZ160 BEZ161 BEZ170 BEZ180 BEZ190 BEZ200 BEZ210 BEZ220 BEZ230 BEZ240 BEZ250 BFA000 BFC010 BFC011 BFC020 BFC030 BFC040 BFC050 BFC060 BFC070 BFC080 BFC081 BFC090 BFC091 BFC100 BFC110 BFC120 BFC130 BFC140 BFC150 BFC160 BFC170 BFC180 BFD010 BFL000 BFR010 BFR020

TimeCOS_PSAM通用技术参考手册1[1].0

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Littelfuse 216系列保险丝规格书说明书

Electrical Characteristics for Series
% of Ampere Rating
Ampere Rating
50mA – 4A
Opening Time 60 minutes, Minimum
150%
5A – 6.3A
60 minutes, Minimum
8A – 16A
30 minutes, Minimum
0
Time (Seconds)
Preheat Time
Dwell Time
Cooling Time
Recommended Process Parameters:
Wave Parameter
Lead-Free Recommendation
Preheat:
%FQFOETPO'MVY"DUJWBUJPO5FNQFSBUVSF
Axial Lead & Cartridge Fuses
5×20 mm > Fast-Acting > 216 Series
216 Series, 5 x 20 mm, Fast-Acting Fuse
PS E
Agency Approvals
Agency
PS E
Agency File Number
Cartridge Certiﬁcates:
8A – 16A
0.04 sec., Min.; 20 sec. Max.
50mA – 4A .003 sec., Min.; 0.3 sec. Max.
400%
5A – 6.3A
.003 sec., Min.; 0.3 sec. Max.
8A – 16A

五笔字型汉字编码词典

五笔字型汉字编码词典本词典按拼音顺序列出了国标一、二级汉字的全拼码、双拼码和五笔字型编码。

其中括号中的拼音为汉字的双拼编码。

AA（ea）啊[KBSK] 阿[BSKG] 吖[KUHH] 嗄[KDHT] 锕[QBSK] 腌[EDJN] Ai（es）哀[YEU] 锿[QYEY] 哎[KAQY] 埃[FCTD] 挨[RCTD] 唉[KCTD] 癌[UKKM] 暧[JEPC] 皑[RMNN] 霭[FYJN] 蔼[AYJN] 嗳[KEPC] 矮[TDTV] 嗌[KUWL]隘[BUWL] 艾[AQU] 砹[DAQY] 碍[DJGF] 爱[EPDC] 瑷[GEPC] 嫒[VEPC] An（ef）安[PVF] 鞍[AFPV] 桉[FPVG] 氨[RNPV] 谙[YUJG] 捱[RDFF] 鹌[DJNG] 庵[YDJN] 埯[FDJN] 俺[WDJN] 揞[RUJG] 铵[QPVG] 案[PVSU] 按[RPVG]胺[EPVG] 黯[LFOJ] 暗[JUJG] 岸[MDFJ] 犴[QTFH] Ang(eg) 肮[EYMN] 昂[JQBJ] 盎[MDLF] Ao(ed) 熬[GQTO] 凹[MMGD] 鏖[YNJQ] 敖[GQTY] 廒[YGQT] 遨[GQTP] 聱[GQTB] 獒[GQTD] 嗷[KGQT] 螯[GQTJ] 鳌[GQTG] 翱[RDFN] 袄[PUTD] 拗[RXLN]鏊[GQTQ] 傲[WGQT] 骜[GQTC] 岙[TDMJ] 奥[TMOD] 澳[ITMD] 懊[NTMD]坳[FXLN] 拗[RXLN]BBa(ba) 捌[RKLJ] 八[WTY] 扒[RWY] 叭[KWY] 巴[CNHN] 疤[UCV] 粑[OCN] 芭[ACB] 吧[KCN] 岜[MCB] 笆[TCB] 茇[ADCU] 拔[RDCY] 菝[ARDC]跋[KHDC] 魃[RQCC] 靶[AFCN] 把[RCN] 钯[QCN] 霸[FAFE] 坝[FMY]罢[LFCU] 鲅[QGDC] 耙[DICN] 爸[WQCB] 吧[KCN] Bai(bs) 掰[RWVR] 白[RRRR] 百[DJF] 佰[WDJG] 柏[SRG] 伯[WRG] 摆[RLFC] 捭[RRTF] 呗[KMY] 败[MTY] 拜[RDFH] 稗[TRTF] Ban(bf) 斑[GYGG] 癍[UGYG] 班[GYTG] 扳[RRC] 颁[WVDM] 般[TEMC] 瘢[UTEC] 搬[RTEC] 坂[FRCY] 板[SRCY] 钣[QRCY] 版[THGC] 舨[TERC] 瓣[URCU]半[UFK] 拌[RUFH] 伴[WUFH] 绊[XUFH] 扮[RWVN] 办[LW] Bang(bg) 浜[IRGW] 邦[DTBH] 梆[SDTB] 帮[DTBH] 榜[SUPY] 膀[EUPY] 阪[BRCY] 谤[YUPY] 蒡[AUPY] 磅[DUPY] 镑[QUPY] 傍[WUPY] 棒[SDWH] 蚌[JDHH]绑[XDTB] Bao(bd) 褒[YWKE] 煲[WKSO] 包[QNV] 炮[OQNN] 苞[AQNB] 龅[HWBN] 胞[EQNN] 孢[BQNN] 剥[VIJH] 雹[FQNB] 薄[AIGF] 宝[PGY] 保[WKSY] 褓[PUWS]堡[WKSF] 葆[AWKS] 饱[QNQN] 鸨[XFQG] 报[RBC] 暴[JAWI] 瀑[IJAI]爆[OJAI] 趵[KHQY] 豹[EEQY] 抱[RQNN] 刨[QNJH] 鲍[QGQN] 曝[JJAI] Bei(bw) 杯[SGIY] 背[UXE] 卑[RTFJ] 碑[DRTF] 鹎[RTFG] 陂[BHCY] 北[UX] 焙[OUKG] 倍[WUKG] 蓓[AWUK] 孛[FPBF] 悖[NFPB] 鞴[AFAE] 辈[DJDL]褙[PUUE] 邶[UXBH] 贝[MHNY] 钡[QMY] 狈[QTMY] 备[TLF] 惫[TLNU]被[PUHC] 鐾[NKUQ] 呗[KMY] 臂[NKUE] 悲[DJDN] 埤[FRTF] 碚[DUKG]萆[ARTF] Ben(bt) 贲[FAMU] 奔[DFAJ] 锛[QDFA] 本[SG] 苯[ASGF] 畚[CDLF] 笨[TSGF] 夯[DLB] 坌[WVFF]Beng(bt) 崩[MEEF] 嘣[KMEE] 绷[XEEG] 甭[GIE] 迸[UAPK] 甏[FKUN] 泵[DIU] 蹦[KHME] 蚌[JDHH] Bi(bi) 逼[GKLP] 荸[AFPB] 鼻[THLJ] 鄙[KFLB] 笔[TTFN] 俾[WRTF] 匕[XTN] 比[XX] 吡[KXX] 秕[TXX] 妣[VXX] 彼[THCY] 滗[ITTN] 濞[ITHJ]睥[HRTF] 愎[NTJT] 闭[UFTE] 敝[UMIT] 蔽[AUMT] 弊[UMIA] 必[NT]泌[INT] 铋[QNTT] 毖[XXNT] 秘[TNTT] 碧[GRDF] 贲[FAMU] 庇[YXXV]毕[XXFJ] 荜[AXXF] 哔[KXXF] 跸[KHXF] 筚[TXXF] 毙[XXGX] 狴[QTXF]陛[BXXF] 畀[LGJJ] 舭[TEXX] 痹[ULGJ] 箅[TLGJ] 庳[YRTF] 裨[PURF]萆[ARTF] 髀[MERF] 婢[VRTF] 币[TMHK] 避[NKUP] 篦[TTLX] 辟[NKUH]襞[NKUE] 避[NKUP] 壁[NKUF] 薜[ANKU] 臂[NKUE] 璧[NKUY] 嬖[NKUV]弼[XDJX] 拂[RXJH] Bian(bj) 煸[OYNA] 蝙[JYNA] 编[XYNA] 鳊[QGYA] 鞭[AFWQ] 砭[DTPY] 边[LP] 笾[TLP] 扁[YNMA] 褊[PUYA] 匾[AYNA] 碥[DYNA] 窆[PWTP] 贬[MTPY]辨[UYTU] 辩[UYUH] 辫[UXUH] 卞[YNU] 汴[IYHY] 忭[NYHY] 苄[AYHU]变[YOCU] 遍[YNMP] 便[WGJQ] 缏[XWGQ] 弁[CAJ] Biao(bk) 镳[QYNO] 杓[SQYY] 标[SFIY] 瘭[USFI] 镖[QSFI] 膘[ESFI] 骠[CSFI] 勺[QYI] 飙[DDDQ] 彪[HAME] 飑[MQQN] 表[GE] 裱[PUGE] 婊[VGEY]鳔[QGSI] 飚[MQOO] 髟[DET] Bie(bm) 瘪[UTHX] 憋[UMIN] 鳖[UMIG] 蹩[UMIH] 别[KLJ] Bin(bl) 濒[IHIM] 宾[PRGW] 滨[IPRW] 镔[QPRW] 傧[WPRW] 缤[XPRW] 斌[YGAH] 玢[GWVN] 彬[SSET] 豳[EEMK] 鬓[DEPW] 殡[GQPW] 摈[RPRW] 髌[MEPW]膑[EPRW] 槟[SPRW] Bing(b;) 冰[UI] 并[UA] 槟[SPRW] 兵[RGWU] 禀[YLKI] 饼[QNUA] 屏[NUA] 丙[GMW] 炳[OGMW] 柄[SGMW] 邴[GMWB] 秉[TGVI] 病[UGMW] 摒[RNUA] Bo(bo) 饽[QNFB] 拨[RNTY] 趵[KHQY] 播[RTOL] 钵[QSG] 般[TEMC] 波[IHC] 菠[AIHC] 玻[GHC] 剥[VIJH] 亳[YPTA] 孛[FPBF] 壶[FPOG] 脖[EFPB]勃[FPBL] 渤[IFPL] 博[FGEF] 薄[AIGF] 礴[DAIF] 搏[RGEF] 膊[EGEF]钹[QDCY] 踣[KHUK] 泊[IRG] 箔[TIR] 柏[SRG] 帛[RMHJ] 铂[QRG]伯[WR] 魄[RRQC] 舶[TERG] 驳[CQQ] 跛[KHHC] 簸[TADC] 檗[NKUS]擘[NKUR] 卜[HHY] 啵[KIHC] Bu（bu）晡[JGEY] 逋[GEHP] 醭[SGOY] 捕[RGEY] 哺[KGEY] 补[PUHY] 卟[KHY] 堡[WKSF] 瓿[UKGN] 部[UKB] 埠[FWNF] 埔[FGEY] 不[GI] 钚[QGIY]布[DMH] 怖[NDMH] 簿[TIGF] 步[HIR] 卜[HHY] 钸[QDMH]CCa（ca）擦[RPWI] 嚓[KPWI] 拆[RRY] 礤[DAWI] Cai（cs）猜[QTGE] 裁[FAYE] 才[FT] 材[SFT] 财[MFT] 采[ES] 睬[HES] 踩[KHES] 彩[ESE] 菜[AES] 蔡[AWFI] Can（cf）餐[HQCE] 参[CDE] 骖[CCDE] 惭[NLR] 蚕[GDJ] 残[GQG] 惨[NCDE] 黪[LFOE] 灿[OM] 粲[HQCO] 掺[RCDE] 孱[NBBB] 璨[GHQO] Cang(cg) 仓[WBB] 沧[IWB] 苍[AWB] 伧[WWBN] 舱[TEWB] 藏[ADNT] Cao(cd) 糙[OTFP] 操[RKKS] 曹[GMAJ] 漕[IGMJ] 槽[SGMJ] 嘈[KGMJ] 螬[JGMJ] 艚[TEGJ] 草[AJJ] Ce(ce) 测[IMJ] 恻[NMJ] 厕[DMJK] 侧[WMJ] 策[TGMI] 册[MM] Cen(cr) 参[CDE] 岑[MWYN] 涔[IMW]Ceng(ct) 噌[KUL] 曾[ULJ] 层[NFC] 蹭[KHUJ] Cha(ua) 差[UDA] 喳[KSJ] 馇[QNS] 嚓[KPW] 插[RTFV] 锸[QTFV] 叉[CYI] 杈[SCYY] 茬[ADHF] 茶[AWS] 搽[RAWS] 槎[SUDA] 查[SJG] 楂[SSJ]碴[DSJ] 猹[QTS] 檫[SPWI] 镲[QPWI] 衩[PUC] 诧[YPTA] 姹[VPT]刹[QSJ] 岔[WVMJ] 汊[ICYY] 杈[SCYY] Chai(us) 钗[QCY] 柴[HXS] 豺[EEF] 侪[WYJ] 瘥[UUDA] 虿[DNJU] 差[UDA] 拆[RRY] Chan(uf) 搀[RQKU] 掺[RCDE] 觇[HKMQ] 澶[IYLG] 廛[YJFF] 躔[KHYF] 缠[XYJ] 禅[PYUF] 蝉[JUJF] 婵[VUJ] 蟾[JQF] 镡[QSJH] 谗[YQK] 馋[QNQU]孱[NBBB] 产[U] 铲[QUT] 阐[UUJ] 冁[UJFE] 谄[YQV] 蒇[ADMT]骣[CNBB] 颤[YLKM] 忏[NTFH] 羼[NUDD] 单[UJFJ] 潺[INBB] Chang(ug) 昌[JJ] 阊[UJJD] 菖[AJJF] 惝[NIM] 鲳[QGJJ] 娼[VJJ] 伥[WTA] 尝[IPF] 偿[WIP] 裳[IPKE] 常[IPKH] 嫦[VIPH] 倘[WIMK] 长[TA]苌[ATA] 场[FNRT] 肠[ENR] 昶[YNIJ] 厂[DGT] 惝[NIM] 唱[KJJ]倡[WJJG] 怅[NTA] 畅[JHNR] 猖[QTJJ] 敞[IMKT] 鬯[QOBX] 徜[TIM]氅[IMKN] Chao(ud) 焯[OHJ] 绰[XHJ] 抄[RIT] 吵[KIT] 钞[QIT] 怊[NVK] 超[FHV] 剿[VJSJ] 朝[FJE] 潮[IFJ] 嘲[KFJ] 晁[JIQB] 巢[VJS] 炒[OI]耖[DIIT] Che(ue) 车[LG] 扯[RHG] 尺[NYI] 澈[IYCT] 撤[RYCT] 彻[TAVN] 坼[FRY] 掣[RMHR] 砗[DLH] Chen(ur) 琛[GPW] 郴[SSB] 嗔[KFHW] 抻[RJH] 沉[IPM] 忱[NPQ] 谌[YADN] 辰[DFE] 宸[PDFE] 晨[JDF] 橙[SWGU] 臣[AHN] 尘[IFF] 陈[BAI]碜[DCD] 榇[SUS] 衬[PUF] 谶[YWWG] 趁[FHWE] 龀[HWBX] 称[TQI]伧[WWBN] Cheng(ut) 撑[RIP] 瞠[HIP] 铛[QIV] 柽[SCFG] 蛏[JCFG] 噌[KUL] 枨[STA] 成[DN] 诚[YDN] 城[FDN] 晟[JDN] 盛[DNNL] 铖[QDN] 呈[KGF]裎[PUK] 埕[FKG] 程[TKGG] 乘[TUX] 惩[TGHN] 塍[EUDF] 澄[IWGU]橙[SWGU] 承[BD] 丞[BIG] 逞[KGP] 裎[PUK] 骋[CMG] 秤[TGU] Chi(ui) 痴[UTDK] 螭[JYBC] 眵[HQQ] 吃[KTNN] 笞[TCKF] 鸱[QAYG] 蚩[BHGJ] 嗤[KBHJ] 媸[VBHJ] 坻[FQAY] 墀[FNIH] 迟[NYP] 茌[AWFF] 持[RFFY]匙[JGHX] 踟[KHTK] 篪[TRHM] 池[IB] 驰[CBN] 弛[XBN] 耻[BHG]豉[GKUC] 齿[HWB] 侈[WQQ] 褫[PURM] 尺[NYI] 啻[UPMK] 炽[OK]瘛[UDHN] 赤[FO] 敕[GKIT] 翅[FCN] 叱[KXN] 傺[WWFI] 斥[RYI]彳[TTTH] 饬[QNTL] 哧[KFO] 魑[RQCC] Chong(uy) 充[YCQ] 茺[AYC] 舂[DWV] 冲[UKH] 忡[NKH] 涌[ICE] 憧[NUJF] 艟[TEUF] 虫[JHNY] 种[TKH] 崇[MPF] 重[TGJ] 宠[PDX] 铳[QYC] Chou(up) 瘳[UNWE] 抽[RM] 畴[LDT] 踌[KHDF] 帱[MHD] 筹[TDTF] 俦[WDTF] 酬[SGYH] 愁[TONU] 雠[WYYY] 仇[WVN] 惆[NMF] 稠[TMFK] 绸[XMF]瞅[HTO] 丑[NFD] 臭[THDU] Chu(uu) 初[PUV] 樗[SFFN] 出[BM] 厨[DGKF] 橱[SDGF] 蹰[KHDF] 躇[KHAJ] 蜍[JWT] 除[BWT] 滁[IBW] 锄[QEGL] 刍[QVF] 雏[QVW] 褚[PUFJ]楮[SFTJ] 储[WYF] 楚[SSN] 础[DBM] 杵[STFH] 处[TH] 畜[YXL]搐[RYXL] 怵[NSY] 憷[NSS] 矗[FHFH] 黜[LFOM] 绌[XBM] 触[QEJY]亍[FHK] Chuai(ux) 揣[RMD] 搋[RRHM] 踹[KHMJ] 膪[EUPK] 嘬[KJB] 啜[KCCC] Chuan(uc) 穿[PWAT] 川[KTHH] 椽[SXE] 传[WFNY] 舡[TEA] 船[TEMK] 喘[KMD] 串[KKH] 舛[QAH] 钏[QKH] 遄[MDM] 巛[VNNN] 氚[RNKJ] Chuang(uh) 窗[PWT] 疮[UWB] 创[WBJ] 幢[MHU] 床[YSI] 渗[ICD] 怆[NWB] Chui(uv) 炊[OQW] 吹[KQW] 椎[SWY] 槌[SWN] 垂[TGA] 棰[STG] 捶[RTGF] 锤[QTGF] 陲[BTGF] Chun(uz) 春[DW] 椿[SDWJ] 蝽[JDWJ] 淳[IYB] 醇[SGYB] 鹑[YBQ] 唇[DFEK] 纯[XGB] 莼[AXG] 蠢[DWJJ] Chuo(uo) 踔[KHHJ] 戳[NWYA] 龊[HWBH] 辍[LCCC] 啜[KCCC] 绰[XHJ] Ci(ci) 刺[GMIJ] 疵[UHX] 呲[KHXN] 茨[AUQW] 瓷[UQWN] 兹[UXX] 糍[OUX] 慈[UXXN] 磁[DU] 鹚[UXXG] 茈[AHX] 雌[HXW] 辞[TDUH] 词[YNGK]祠[PYNK] 此[HX] 次[UQW] 赐[MJQ] 伺[WNG] Cong(cy) 囱[TLQI] 璁[GTLN] 骢[CTL] 聪[BUKN] 匆[QRY] 葱[AQRN] 从[WW] 苁[AWWU] 枞[SWW] 淙[IPFI] 琮[GPF] 丛[WWG] Cou(cp) 凑[UDW] 辏[LDW] 腠[EDW] 楱[SDWD] Cu(cu) 粗[OE] 殂[GQE] 徂[TEGG] 蹴[KHYN] 卒[YWWF] 猝[QTYF] 蔟[AYT] 簇[TYT] 醋[SGA] 酢[SGTF] 蹙[DHIH] 促[WKH] Cuan(cc) 撺[RPWH] 蹿[KHPH] 镩[QPW] 氽[WIU] 攒[RTFM] 窜[PWK] 篡[THDC] 爨[WFMO] Cui(cv) 衰[YKGE] 榱[SYK] 崔[MWY] 摧[RMWY] 催[WMW] 璀[GMWY] 淬[IYWF] 瘁[UYW] 悴[NYWF] 粹[OYW] 萃[AYW] 啐[KYW] 翠[NYWF] 毳[TFNN]脆[EQD] 隹[WYG] Cun(cz) 村[SF] 存[DHB] 蹲[KHUF] 忖[NFY] 寸[FGHY] 皴[CWTC] Cuo(co) 磋[DUD] 搓[RUD] 嗟[KUDA] 撮[RJB] 瘥[UUDA] 鹾[HLQA] 嵯[MUD] 痤[UWW] 矬[TDW] 脞[EWW] 厝[DAJ] 措[RAJ] 错[QAJ] 挫[RWW]锉[QWW]DDa(da) 褡[PUA] 搭[RAWK] 嗒[KAWK] 答[TW] 耷[DBF] 瘩[UAW] 达[DP] 鞑[AFDP] 打[RS] 怛[NJG] 靼[AFJG] 笪[TJGF] 妲[VJG] 沓[IJF]大[DD] 疸[UJG] 塔[FAWK] 哒[KDP] Dai(ds) 呆[KS] 呔[KDYY] 待[TFFY] 歹[GQI] 傣[WDW] 逮[VIP] 戴[FALW] 带[GKP] 大[DD] 甙[AAFD] 代[WA] 袋[WAYE] 玳[GWA] 黛[WAL]贷[WAM] 岱[WAMJ] 迨[CKP] 怠[CKN] 殆[GQC] 骀[CCK] 绐[XCK]埭[FVI] Dan(df) 单[UJFJ] 瘅[UUJF] 殚[GQU] 箪[TUJF] 郸[UJFB] 耽[BPQ] 眈[HPQ] 聃[BMFG] 担[RJG] 丹[MYD] 儋[WQD] 掸[RUJF] 疸[UJG] 胆[EJ]赕[MOO] 澹[IQDY] 惮[NUJ] 弹[XUJ] 淡[IOO] 啖[KOO] 氮[RNO]诞[YTHP] 萏[AQVF] 石[DGTG] 旦[JGF] 担[RJG] 但[WJG] 蛋[NHJ] Dang(dg) 当[IV] 裆[PUIV] 铛[QIV] 挡[RIV] 党[IPK] 谠[YIP] 宕[PDF] 菪[APD] 档[SI] 荡[AIN] 砀[DNR] Dao(dd) 氘[RNJ] 忉[NVN] 叨[KVN] 祷[PYD] 蹈[KHEV] 倒[WGC] 岛[QYNM] 捣[RQYM] 导[NF] 悼[NHJH] 道[UTHP] 焘[DTFO] 帱[MHD] 纛[GXF]到[GC] 稻[TEV] 刀[VN]De(de) 锝[QJGF] 得[TJ] 德[TFL] 底[YQA] 地[F] 的[R] Deng(dt) 灯[OS] 登[WGKU] 噔[KWGU] 蹬[KHWU] 簦[TWGU] 戥[JTGA] 等[TFFU] 磴[DWGU] 瞪[HWG] 嶝[MWGU] 镫[QWGU] 凳[WGKM] 邓[CB] Di(di) 滴[IUM] 嘀[KUM] 镝[QUM] 堤[FJGH] 提[RJ] 氐[QAY] 羝[UDQ] 低[WQA] 涤[ITS] 嫡[VUM] 觌[FNUQ] 迪[MP] 笛[TMF] 敌[TDT]狄[QTOY] 荻[AQTO] 翟[NWYF] 诋[YQAY] 坻[FQA] 柢[SQA] 谛[YUPH]蒂[AUP] 碲[DUPH] 缔[XUP] 弟[UXH] 第[TX] 递[UXHP] 睇[HUX]娣[VUX] 棣[SVI] 的[RQY] 抵[RQA] 底[YQA] 地[FB] 帝[UP]籴[TYO] 邸[QAYB] 绨[XUXT] 砥[DQAY] 骶[MEQY] Dia(db) 嗲[KWQ] Dian(dj) 滇[IFHW] 颠[FHWM] 癫[UFHM] 巅[MFH] 掂[RYH] 踮[KHYK] 点[HKO] 碘[DMA] 淀[IPGH] 靛[GEP] 奠[USGD] 垫[RVYF] 店[YHK] 惦[NYH]玷[GHK] 坫[FHKG] 阽[BHKG] 电[JN] 钿[QLG] 佃[WL] 甸[QL]簟[TSJ] 殿[NAW] 癜[UNA] 典[MAW] Diao(dk) 貂[EEV] 凋[UMF] 碉[DMF] 雕[MFKY] 鲷[QGM] 刁[NGD] 叼[KNG] 调[YMF] 掉[RHJ] 吊[KMH] 铞[QKMH] 铫[QIQ] 钓[QQYY] Die(dm) 跌[KHR] 爹[WQQQ] 谍[YAN] 堞[FAN] 碟[DAN] 揲[RANS] 喋[KANS] 蝶[JAN] 蹀[KHAS] 牒[THGS] 鲽[QGA] 垤[FGC] 耋[FTXF] 迭[RWP]瓞[RCYW] 叠[CCCG] 踮[KHYK] Ding(d;) 丁[SGH] 疔[USK] 玎[GSH] 耵[BSH] 酊[SGS] 叮[KSH] 盯[HS] 町[LSH] 钉[QS] 仃[WSH] 顶[SDM] 鼎[HNDN] 定[PG] 碇[DPGH]啶[KPGH] 锭[QP] 腚[EPG] 订[YS] 铤[QTFP] Diu(dn) 丢[TFC] 铥[QTFC] Dong(dy) 东[AI] 岽[MAI] 鸫[AIQ] 冬[TUU] 咚[KTUY] 氡[RNTU] 董[ATG] 懂[NAT] 动[FCL] 冻[UAI] 胨[EAI] 洞[IMGK] 恫[NMG] 垌[FMG]侗[WMGK] 胴[EMG] 栋[SAI] 峒[MMGK] 硐[DMG] Dou(dp) 都[FTJB] 兜[QRNQ] 蔸[AQRQ] 篼[TQRQ] 斗[UFK] 抖[RUFH] 蚪[JUFH] 陡[BFH] 窦[PWFD] 读[YFN] 豆[GKU] 痘[UGKU] 逗[GKUP] Du(du) 嘟[KFTB] 督[HICH] 毒[GXGU] 渎[IFND] 读[YFN] 椟[SFN] 黩[LFOD] 犊[TRFD] 牍[THGD] 顿[GBNM] 髑[MEL] 独[QTJ] 堵[FFT] 睹[HFT]赌[MFTJ] 笃[TCF] 肚[EFG] 度[YA] 渡[IYA] 镀[QYA] 芏[AFF]杜[SFG] 蠹[GKHJ] 妒[VYNT] 都[FTJB] Duan(dc) 端[UMD] 短[TDG] 断[ON] 簖[TONR] 段[WDM] 煅[OWD] 锻[QWD] 缎[XWD] 椴[SWD] Dui(dv) 堆[FWY] 敦[YBT] 憝[YBTN] 镦[QYB] 兑[UKQB] 碓[DWYG] 对[CF] 怼[CFN] 队[BW] Dun(dz) 敦[YBT] 礅[DYB] 镦[QYB] 吨[KGB] 蹲[KHUF] 趸[DNK] 盹[HGB] 沌[IGB] 炖[OGBN] 砘[DGB] 顿[GBNM] 囤[LGB] 钝[QGBN] 盾[RFH]遁[RFHP] 墩[FYB] Duo(do) 多[QQ] 哆[KQQ] 裰[PUCC] 掇[RCC] 咄[KBM] 度[YA] 踱[KHYC] 夺[DF] 铎[QCF] 朵[MS] 垛[FMS] 哚[KMS] 躲[TMDS] 惰[NDA]堕[BDEF] 驮[CDY] 舵[TEPX] 剁[MSJ] 跺[KHM] 沲[ITB] 缍[XTG]柁[SPX]EE(ee) 屙[NBS] 婀[VBS] 额[PTKM] 哦[KTR] 蛾[JTR] 峨[MTR] 锇[QTRT] 俄[WTR] 鹅[TRNG] 娥[VTR] 讹[YWXN] 恶[GOGN] 阏[UYWU] 垩[GOGF]噩[GKKK] 厄[DBV] 苊[ADB] 扼[RDB] 轭[LDB] 呃[KDB] 遏[JQWP] Ei(ew) 愕[NKK] 谔[YKKN] 萼[AKKN] 颚[KKFM] 锷[QKKN] 鹗[KKFG] 腭[EKK] 鳄[QGKN] 鄂[KKFB] 饿[QNT] 诶[YCT] En(er) 恩[LDN] 蒽[ALDN] 摁[RLD] Er(eq) 而[DMJ] 鸸[DMJG] 儿[QT] 洱[IBG] 珥[GBG] 铒[QBG] 饵[QNBG] 尔[QIU] 二[FG] 贰[AFM] 佴[WBG] 耳[BGH] 迩[QIP] 鲕[QGDJ]FFa(fa) 发[V] 罚[LY] 乏[TPI] 伐[WAT] 阀[UWA] 垡[WAFF] 筏[TWA] 法[IF] 砝[DFCY] 珐[GFC] Fan(ff) 帆[MHM] 番[TOL] 蕃[ATO] 藩[AITL] 幡[MHTL] 翻[TOLN] 烦[ODM] 樊[SQQD] 燔[OTO] 蹯[KHTL] 繁[TXGI] 蘩[ATXI] 凡[MY] 矾[DMY]反[RC] 返[RCP] 泛[ITP] 范[AIB] 梵[SSM] 畈[LRC] 贩[MRC]饭[QNR] 犯[QTB] Fang(fg) 方[YY] 芳[AY] 坊[FYN] 肪[EYN] 鲂[QGYN] 防[BY] 妨[VY] 邡[YBH] 访[YYN] 仿[WYN] 彷[TYN] 航[TEY] 纺[XY] 放[YT]房[YNY] 枋[SYN] 钫[QYN] Fei(fw) 非[DJD] 扉[YNDD] 霏[FDJD] 菲[ADJ] 啡[KDJ] 蜚[DJDJ] 鲱[QGDD] 绯[XDJD] 飞[NUI] 妃[VNN] 腓[EDJ] 肥[EC] 淝[IEC] 斐[DJDY]悱[NDJD] 诽[YDJ] 匪[ADJD] 榧[SADD] 篚[TADD] 翡[DJDN] 吠[KDY]废[YNTY] 芾[AGM] 肺[EGM] 痱[UDJD] 沸[IXJ] 费[XJM] 镄[QXJ]狒[QTX] Fen(fr) 分[WV] 芬[AWV] 酚[SGW] 吩[KWV] 氛[RNW] 纷[XWV] 坟[FY] 焚[SSO] 汾[IWV] 鼢[VNUV] 粉[OW] 粪[OAWU] 瀵[IOL] 愤[NFA]偾[WFA] 鲼[QGFM] 奋[DLF] 忿[WVNU] 份[WWV] 玢[GWV] 棼[SSW] Feng(ft) 丰[DH] 沣[IDH] 封[FFFY] 葑[AFFF] 烽[OTD] 蜂[JTD] 锋[QTD] 风[MQ] 疯[UMQ] 枫[SMQ] 砜[DMQY] 冯[UC] 逢[TDH] 缝[XTDP]讽[YMQ] 唪[KDW] 奉[DWF] 俸[WDWH] 凤[MC] 峰[MTD] 酆[DHDB] Fo(fo) 佛[WXJ] Fou(fp) 否[GIK] 缶[RMK] Fu(fu) 夫[FW] 麸[GQFW] 呋[KFW] 趺[KHF] 肤[EFW] 稃[TEBG] 孵[QYTB] 敷[GEHT] 跗[KHWF] 涪[IUK] 芙[AFWU] 扶[RFW] 蚨[JFW] 福[PYG]幅[MHG] 蝠[JGKL] 匐[QGK] 罘[LGI] 芾[AGM] 祓[PYDC] 黻[OGUC]绂[XDC] 幞[MHO] 孚[EBF] 浮[IEB] 莩[AEBF] 桴[SEB] 蜉[JEB]俘[WEB] 郛[EBB] 伏[WDY] 袱[PUWD] 茯[AWD] 苻[AWFU] 符[TWF]凫[QYNM] 服[EB] 菔[AEBC] 辐[LGK] 弗[XJK] 怫[NXJ] 拂[RXJH]氟[RNX] 佛[WXJ] 艴[XJQ] 绋[XXJ] 府[YWF] 腐[YWFW] 腑[EYW]拊[RWF] 抚[RFQ] 甫[GEH] 辅[LGEY] 脯[EGE] 父[WQU] 斧[WQR]釜[WQF] 滏[IWQ] 赙[MGE] 傅[WGE] 缚[XGE] 富[PGK] 副[GKL]讣[YHY] 赴[FHH] 赋[MGA] 复[TJT] 覆[STT] 蝮[JTJT] 馥[TJTT]腹[ETJ] 付[WFY] 咐[KWF] 鲋[QGW] 附[BWF] 驸[CWF] 阜[WNNF]负[QM] 妇[VV] 俯[WYW] 黼[OGUY] 砩[DXJ] 鳆[QGTT]GGa(ga) 夹[GUW] 胳[ETK] 旮[VJF] 咖[KLK] 伽[WLK] 轧[LNN] 噶[KAJ] 嘎[KDH] 钆[QNN] 尜[IDI] 尕[EIU] 尬[DNW] Gai(gs) 该[YYNW] 垓[FYNW] 赅[MYN] 陔[BYNW] 改[NTY] 盖[UGL] 芥[AWJ] 丐[GHN] 钙[QGH] 戤[ECLA] 溉[IVC] 概[SVC] Gan(gf) 干[FGGH] 杆[SFH] 酐[SGFH] 矸[DFH] 竿[TFJ] 肝[EF] 甘[AFD] 泔[IAF] 疳[UAF] 坩[FAFG] 苷[AAF] 柑[SAF] 尴[DNJL] 赶[FHFK]擀[RFJ] 秆[TFH] 感[DGKN] 敢[NB] 澉[ING] 橄[SNB] 旰[JFH]绀[XAF] 赣[UJT] 乾[FJT] 淦[IQG] Gang(gg) 杠[SAG] 扛[RAG] 缸[RMA] 肛[EA] 罡[LGH] 冈[MQI] 刚[MQJ] 钢[QMQ] 纲[XM] 港[IAWN] 岗[MMQ] 戆[UJTN] 筻[TGJQ] Gao(gd) 高[YM] 膏[YPK] 篙[TYMK] 羔[UGO] 糕[OUGO] 皋[RDFJ] 槔[SRD] 睾[TLFF] 藁[AYMS] 槁[SYMK] 搞[RYM] 镐[QYM] 稿[TYM] 缟[XYM]杲[JSU] 告[TFKF] 诰[YTFK] 锆[QTFK] 郜[TFKB] Ge(ge) 割[PDHJ] 歌[SKSW] 戈[AGNT] 疙[UTN] 圪[FTN] 屹[MTNN] 仡[WTN] 鸽[WGKG] 袼[PUTK] 格[STK] 咯[KTK] 胳[ETK] 搁[RUTK] 革[AF]葛[AJQ] 鬲[GKMH] 塥[FGK] 嗝[KGKH] 镉[QGKH] 膈[EGK] 隔[BGK]颌[WGKM] 蛤[JW] 搿[RWGR] 阁[UTK] 骼[MET] 舸[TES] 哿[LKSK]合[WGK] 个[WH] 各[TK] 虼[JTN] 硌[DTK] 铬[QTK] Gei(gw) 给[XW] Gen(gr) 根[SVE] 跟[KHV] 哏[KVE] 艮[VEI] 亘[GJG] 茛[AVE] Geng(gt) 羹[UGOD] 耕[DIF] 更[GJQ] 耿[BO] 埂[FGJ] 梗[SGJQ] 哽[KGJ] 鲠[QGGQ] 绠[XGJ] 颈[CAD] 赓[YVWM] 庚[YVW] Gong(gy) 工[A] 攻[AT] 功[AL] 红[XA] 龚[DXA] 供[WAW] 恭[AWNU] 公[WC] 蚣[JWC] 肱[EDC] 觥[QEI] 弓[XNG] 躬[TMDX] 宫[PK]巩[AMY] 汞[AIU] 珙[GAW] 拱[RAW] 贡[AM] 共[AW] Gou(gp) 鞲[AFFF] 篝[TFJF] 句[QKD] 佝[WQK] 勾[QCI] 沟[IQC] 钩[QQC] 缑[XWN] 苟[AQKF] 枸[SQK] 岣[MQK] 笱[TQK] 狗[QTQ] 遘[FJGP]觏[FJGQ] 媾[VFJF] 彀[FPGC] 诟[YRG] 垢[FR] 够[QKQQ] 构[SQC]购[MQC] Gu(gu) 毂[FPL] 沽[IDG] 辜[DUJ] 酤[SGDG] 轱[LDG] 咕[KDG] 蛄[JDG] 估[WD] 鸪[DQYG] 姑[VD] 菇[AVD] 箍[TRA] 呱[KRC] 觚[QER]孤[BR] 菰[ABR] 骨[ME] 鼓[FKUC] 瞽[FKUH] 臌[EFKC] 古[DGH]诂[YDG] 罟[LDF] 钴[QDG] 牯[TRDG] 嘏[DNH] 贾[SMU] 蛊[JLF]鹘[MEQ] 谷[WWK] 鹄[TFKG] 股[EMC] 汩[IJG] 雇[YNWY] 顾[DBD]故[DTY] 固[LDD] 痼[ULD] 崮[MLD] 锢[QLDG] 鲴[QGLD] 梏[STFK]牿[TRTK] Gua(gb) 瓜[RCY] 呱[KRC] 胍[ERC] 栝[STDG] 括[RTD] 刮[TDJH] 鸹[TDQ] 寡[PDE] 剐[KMWJ] 诖[YFFG] 褂[PUFH] 挂[RFFG] 卦[FFHY] Guai(gx) 掴[RLGY] 乖[TFU] 拐[RKL] 怪[NC] Guan(gc) 官[PN] 棺[SPN] 倌[WPN] 关[UD] 冠[PFQF] 莞[APFQ] 鳏[QGLI] 观[CM] 矜[CBTN] 纶[XWX] 管[TP] 馆[QNP] 灌[IAK] 罐[RMAY]鹳[AKKG] 贯[XFM] 惯[NXF] 掼[RXF] 盥[QGI] 涫[IPN] Guang(gh) 光[IQ] 咣[KIQ] 胱[EIQ] 桄[SIQN] 广[YYGT] 犷[QTYT] 逛[QTGP] Gui(gv) 规[FWM] 圭[FFF] 闺[UFFD] 硅[DFF] 鲑[QGFF] 归[JV] 皈[RRCY]瑰[GRQ] 傀[WRQ] 龟[QJN] 妫[VYL] 庋[YFC] 晷[JTHK] 簋[TVEL]鬼[RQC] 宄[PVB] 轨[LV] 匦[ALV] 诡[YQD] 癸[WGD] 桂[SFF]柜[SAN] 贵[KHGM] 炔[ONW] 炅[JOU] 跪[KHQB] 刿[MQJH] 桧[SWF]刽[WFCJ] 鳜[QGDW] Gun(gz) 滚[IUC] 辊[LJ] 绲[XJX] 鲧[QGTI] 棍[SJX] 衮[UCEU] 磙[DUC] Guo(go) 崞[MYB] 郭[YBB] 聒[BTD] 过[FP] 蝈[JLG] 呙[KMWU] 涡[IKM] 埚[FKM] 锅[QKM] 国[L] 掴[RLGY] 帼[MHL] 馘[UTHG] 虢[EFHM]椁[SYB] 果[JS] 裹[YJSE] 蜾[JJS] 过[FP]HHa(ha) 哈[KWG] 铪[QWGK] 虾[JGHY] 蛤[JW] Hai(hs) 嗨[KITU] 咳[KYNW] 骸[MEY] 孩[BYNW] 还[GIP] 海[ITX] 醢[SGDL] 胲[EYNW] 害[PDH] 亥[YNTW] 氦[RNYW] 骇[CYNW] 嘿[KLF] Han(hf) 顸[FDMY] 鼾[THLF] 憨[NBTN] 酣[SGAF] 蚶[JAF] 寒[PFJ] 汗[IFH] 邗[FBH] 邯[AFB] 韩[FJFH] 含[WYNK] 焓[OWY] 函[BIB] 晗[JWYK]涵[IBI] 罕[PWF] 喊[KDGT] 旱[JFJ] 焊[OJF] 捍[RJF] 汉[IC]悍[NJF] 翰[FJW] 瀚[IFJN] 菡[ABIB] 憾[NDGN] 撼[RDGN] 撖[RNBT]颔[WYNM] 阚[UNB] Hang(hg) 夯[DLB] 杭[SYM] 颃[YMDM] 吭[KYM] 航[TEY] 行[TF] 珩[GTF] 绗[XTFH] 沆[IYM] 巷[AWN] Hao(hd) 蒿[AYM] 嚆[KAY] 薅[AVDF] 豪[YPEU] 壕[FYP] 嚎[KYP] 毫[YPT] 蚝[JTF] 号[KGN] 嗥[KRD] 貉[EETK] 好[VB] 郝[FOB] 镐[QYM]耗[DITN] 颢[JYIM] 灏[IJYM] 昊[JGD] 浩[ITFK] 皓[RTFK] 濠[IYP] He(he) 诃[YSK] 呵[KSK] 嗬[KAWK] 喝[KJQ] 涸[ILD] 阂[UYN] 核[SYNW] 劾[YNTL] 盍[FCLF] 阖[UFC] 翮[GKMN] 河[ISK] 菏[AIS] 何[WSK]荷[AWSK] 曷[JQWN] 合[WGK] 颌[WGKM] 盒[WGKL] 禾[TTT] 和[T]纥[XTNN] 鹤[PWY] 赫[FOF] 壑[HPG] 吓[KGH] 褐[PUJN] 貉[EETK]贺[LKM] 蚵[KSK] Hei(hw) 黑[LFO] 嘿[KLF] Hen(hr) 痕[UVE] 很[TVE] 狠[QTV] 恨[NV] Heng(ht) 亨[YBJ] 哼[KYB] 恒[NGJ] 横[SAM] 行[TF] 珩[GTF] 桁[STFH] 衡[TQDH] 蘅[ATQH] Hong(hy) 烘[OAW] 哄[KAW] 薨[ALPX] 轰[LCC] 訇[QYD] 鸿[IAQG] 黉[IPA] 虹[JA] 红[XA] 荭[AXA] 洪[IAW] 蕻[ADAW] 宏[PDC] 闳[UDC]弘[XCY] 泓[IXC] 讧[YAG] Hou(hp) 侯[WNT] 瘊[UWN] 糇[OWN] 喉[KWN] 篌[TWN] 猴[QTW] 骺[MER] 吼[KBN] 厚[DJB] 堠[FWND] 候[WHN] 后[RG] 逅[RGKP] 後[TXT]鲎[IPQG] Hu(hu) 糊[ODE] 乎[TUH] 滹[IHAH] 烀[OTU] 轷[LTUH] 呼[KT] 忽[QRN] 惚[NQR] 唿[KQRN] 戏[CA] 壶[FPO] 胡[DE] 湖[IDE] 煳[ODEG]瑚[GDE] 葫[ADEF] 醐[SGDE] 蝴[JDE] 鹕[DEQ] 猢[QTDE] 核[SYNW]鹘[MEQ] 囫[LQR] 鹄[TFKG] 和[T] 狐[QTR] 弧[XRC] 斛[QEU]槲[SQEF] 觳[FPGC] 浒[IYTF] 虎[HA] 琥[GHA] 唬[KHAM] 户[YNE]戽[YNU] 沪[IYN] 护[RYN] 扈[YNKC] 鹱[QYNC] 怙[NDG] 祜[PYDG]岵[MDG] 瓠[DFNY] 互[GX] 冱[UGX] 笏[TQR]Hua(hb) 砉[DHDF] 化[WX] 花[AWX] 哗[KWX] 豁[PDHK] 划[AJ] 滑[IME] 猾[QTM] 华[WXF] 铧[QWX] 骅[CWX] 话[YTD] 画[GL] 桦[SWX] Huai(hx) 淮[IWY] 怀[NG] 槐[SRQ] 踝[KHJS] 徊[TLK] 坏[FGI] 划[AJ] Huan(hc) 獾[QTAY] 欢[CQW] 萑[AWYF] 洹[IGJ] 桓[SGJG] 还[GIP] 环[GGI] 寰[PLG] 鬟[DEL] 圜[LLG] 缳[XLGE] 锾[QEFC] 郇[QJB] 缓[XEF]浣[IPFQ] 鲩[QGP] 宦[PAH] 逭[PNHP] 豢[UDE] 患[KKHN] 漶[IKKN]擐[RLGE] 奂[QMD] 涣[IQM] 痪[UQM] 焕[OQM] 换[RQ] 唤[KQM]幻[XNN] Huang(hh) 肓[YNEF] 荒[AYNQ] 慌[NAY] 黄[AMW] 潢[IAM] 癀[UAM] 璜[GAMW] 磺[DAM] 蟥[JAM] 簧[TAMW] 皇[RGF] 湟[IRGG] 惶[NRGG] 煌[OR]遑[RGP] 篁[TRGF] 徨[TRG] 凰[MRG] 鳇[QGR] 隍[BRG] 谎[YAY]恍[NIQ] 晃[JI] 幌[MHJQ] 蝗[JR] Hui(hv) 麾[YSSN] 珲[GPL] 挥[RPL] 辉[IQPL] 晖[JPLH] 灰[DO] 恢[NDO] 诙[YDO] 咴[KDO] 虺[GQJI] 徽[TMGT] 隳[BDAN] 回[LKD] 洄[ILK]茴[ALKF] 蛔[JLK] 徊[TLK] 悔[NTX] 毁[VA] 汇[IAN] 溃[IKH]彗[DHDV] 慧[DHD] 恚[FFNU] 卉[FAJ] 惠[GJH] 蕙[AGJ] 蟪[JGJN]喙[KXE] 缋[XKH] 哕[KMQ] 秽[TMQ] 贿[MDE] 会[WF] 浍[IWFC]烩[OWF] 荟[AWFC] 桧[SWF] 绘[XWF] 诲[YTX] 晦[JTX] 堕[BDEF]讳[YFNH] Hun(hz) 荤[APLJ] 昏[QAJF] 阍[UQA] 婚[VQ] 浑[IPL] 珲[GPL] 魂[FCR] 混[IJX] 馄[QNJX] 诨[YPL] 溷[ILEY] Huo(ho) 豁[PDHK] 耠[DIW] 劐[AWYJ] 攉[RFWY] 锪[QQR] 活[ITD] 火[OOOO] 钬[QOY] 夥[JSQ] 祸[PYKW] 霍[FWYF] 藿[AFWY] 嚯[KFWY] 镬[QAWC]和[TKG] 惑[AKGN] 货[WXM] 伙[WO] 获[AQT] 或[AKG] 蠖[JAWC]JJi(ji) 激[IRY] 跻[KHYJ] 迹[YOP] 绩[XGM] 积[TKQ] 击[FMK] 其[ADW] 基[ADWF] 箕[TAD] 期[ADWE] 赍[FWWM] 奇[DSKF] 剞[DSKJ] 畸[LDS]犄[TRD] 乩[HKN] 咭[KFKG] 唧[KVCB] 羁[LAF] 笄[TGAJ] 嵇[TDNM]稽[TDNJ] 几[MT] 讥[YMN] 玑[GMN] 机[SM] 矶[DMN] 叽[KMN]肌[EM] 饥[QNM] 畿[XXA] 汲[IEY] 圾[FEY] 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奸[VFH] 謇[PFJY] 蹇[PFJH] 裥[PUUJ] 简[TUJ]锏[QUJG] 翦[UEJN] 剪[UEJV] 谫[YUE] 戬[GOGA] 茧[AJU] 柬[GLI]拣[RANW] 减[UDG] 碱[DDG] 趼[KHGA] 枧[SMQN] 笕[TMQB] 囝[LB]检[SWGI] 硷[DWGI] 捡[RWGI] 睑[HWGI] 俭[WWGI] 涧[IUJG] 谏[YGLI]践[KHG] 贱[MGT] 溅[IMGT] 饯[QNGT] 荐[ADH] 鉴[JTYQ] 监[JTYL]槛[SJT] 见[MQB] 舰[TEMQ] 剑[WGI] 箭[TUE] 牮[WAR] 僭[WAQJ]件[WRH] 建[VFHP] 楗[SVFP] 踺[KHVP] 键[QVFP] 毽[TFNP] 健[WVF]腱[EVFP] Jiang(jh) 将[UQF] 浆[UQI] 江[IA] 茳[AIA] 豇[GKUA] 绛[XTAH] 僵[WGL] 疆[XFG] 缰[XGL] 姜[UGV] 蒋[AUQ] 桨[UQS] 奖[UQD] 耩[DIFF]讲[YFJ] 酱[UQSG] 匠[AR] 虹[JA] 洚[ITA] 降[BT] 强[XK]糨[OX] 犟[XKJH] 礓[DGL] Jiao(jk) 浇[IAT] 交[UQ] 茭[AUQU] 蛟[JUQ] 胶[EU] 鲛[QGUQ] 郊[UQB] 姣[VUQ] 教[FTBT] 艽[AVB] 椒[SHI] 娇[VTDJ] 骄[CTDJ] 焦[WYO]蕉[AWY] 礁[DWY] 僬[WWYO] 鹪[WYOG] 嚼[KEL] 矫[TDTJ] 湫[ITOY]铰[QUQ] 佼[WUQ] 皎[RUQ] 狡[QTU] 饺[QNUQ] 绞[XUQ] 搅[RIPQ]挢[RTDJ] 侥[WATQ] 敫[RYTY] 徼[TRYT] 缴[XRY] 脚[EFCB] 角[QE]剿[VJSJ] 窖[PWTK] 觉[IPMQ] 校[SUQ] 较[LUQ] 酵[SGFB] 叫[KN]轿[LTD] 峤[MTDJ] 醮[SGWO] 噍[KWYO] Jie(jm) 秸[TFKG] 结[XFK] 接[RUV] 揭[RJQ] 皆[XXR] 楷[SXX] 喈[KXXR] 阶[BWJ] 嗟[KUDA] 街[TFFH] 节[AB] 疖[UBK] 讦[YFH] 洁[IFK]诘[YFK] 桔[SFK] 颉[FKD] 拮[RFK] 鲒[QGFK] 劫[FCLN] 截[FAW]捷[RGV] 睫[HGV] 婕[VGV] 竭[UJQN] 羯[UDJN] 碣[DJQ] 偈[WJQ]桀[QAHS] 杰[SO] 孓[BYI] 解[QEV] 姐[VEG] 戒[AAK] 诫[YAAH]藉[ADI] 介[WJ] 疥[UWJ] 芥[AWJ] 骱[MEW] 界[LWJ] 蚧[JWJ]价[WWJ] 借[WAJ] 届[NM] 家[PE] Jin(jl) 津[IVFH] 禁[SSF] 襟[PUS] 巾[MHK] 今[WYNB] 衿[PUWN] 矜[CBTN] 金[QQQQ] 筋[TELB] 斤[RTT] 堇[AKGF] 廑[YAKG] 谨[YAK] 瑾[GAKG]槿[SAK] 馑[QNAG] 紧[JCX] 锦[QRM] 仅[WCY] 尽[NYU] 卺[BIGB]进[FJ] 晋[GOGJ] 缙[XGOJ] 觐[AKGQ] 禁[SSF] 噤[KSSI] 近[RP]靳[AFR] 劲[CAL] 浸[IVP] 烬[ONY] 荩[ANYU] 赆[MNY] 妗[VWY] Jing(j;) 京[YIU] 惊[NYIY] 鲸[QGY] 旌[YTTG] 粳[OGJ] 精[OGE] 菁[AGEF] 睛[HG] 腈[EGEG] 荆[AGA] 兢[DQD] 晶[JJJ] 泾[ICA] 茎[ACA]经[X] 井[FJK] 肼[EFJ] 阱[BFJ] 警[AQKY] 儆[WAQT] 景[JY]憬[NJY] 颈[CAD] 刭[CAJH] 竟[UJQ] 境[FUJ] 镜[QUJ] 獍[QTUQ]竞[UKQB] 净[UQV] 静[GEQ] 靖[UGE] 靓[GEM] 婧[VGE] 敬[AQK]痉[UCA] 径[TCA] 胫[ECA] 劲[CAL] 弪[XCAG] Jiong(jy) 扃[YNMK] 窘[PWVK] 炅[JOU] 炯[OMK] 迥[MKP]Jiu(jn) 阄[UQJ] 鬏[DETO] 揪[RTO] 啾[KTO] 究[PWV] 鸠[VQYG] 赳[FHNH] 纠[XNH] 酒[ISGG] 悲[DJDN] 九[VT] 久[QY] 灸[QYO] 玖[GQY]就[YI] 僦[WYI] 鹫[YIDG] 厩[DVC] 救[FIYT] 旧[HJ] 臼[VTH]桕[SVG] 舅[VL] 疚[UQY] 柩[SAQY] 咎[THK] Ju(ju) 鞫[AFQY] 车[LG] 且[EG] 疽[UEG] 趄[FHE] 苴[AEG] 雎[EGW] 俱[WHW] 狙[QTEG] 鞠[AFQ] 掬[RQO] 拘[RQK] 驹[CQK] 居[ND]裾[PUND] 琚[GND] 椐[SND] 据[RND] 锔[QNNK] 菊[AQO] 桔[SFK]橘[SCBK] 局[NNK] 举[IWF] 榉[SIW] 柜[SAN] 矩[TDA] 沮[IEG]龃[HWBG] 咀[KEG] 踽[KHTY] 莒[AKKF] 枸[SQK] 窭[PWO] 聚[BCT]巨[AND] 炬[OAN] 讵[YANG] 苣[AAN] 拒[RAN] 距[KHA] 钜[QAN]遽[HAE] 醵[SGHE] 具[HW] 惧[NHW] 犋[TRHW] 飓[MQH] 瞿[HHWY]句[QKD] 据[RND] 踞[KHND] 剧[NDJ] 锯[QND] 倨[WND] 屦[NTOV] Juan(jc) 蠲[UWLJ] 圈[LUD] 涓[IKE] 捐[RKE] 鹃[KEQ] 娟[VKE] 镌[QWYE] 卷[UDBB] 锩[QUDB] 桊[UDS] 眷[UDHF] 倦[WUD] 鄄[SFB] 狷[QTKE]绢[XKE] 隽[WYEB] Jue(jv) 撅[RDUW] 噘[KDU] 嗟[KUDA] 觉[IPMQ] 珏[GGY] 厥[DUBW] 蕨[ADU] 橛[SDU] 劂[DUBJ] 蹶[KHDW] 獗[QTDW] 矍[HHW] 攫[RHH] 噱[KHAE]爵[ELV] 爝[OEL] 嚼[KEL] 脚[EFCB] 角[QE] 桷[SQE] 谲[YCBK]决[UN] 诀[YNWY] 抉[RNWY] 觖[QEN] 掘[RNBM] 崛[MNBM] 倔[WNB]孓[BYI] 绝[XQC] 镢[QDUW] Jun(jz) 军[PL] 皲[PLH] 均[FQU] 筠[TFQU] 钧[QQUG] 麇[YNJT] 菌[ALT] 龟[QJN] 君[BTKD] 浚[ICWT] 竣[UCW] 峻[MCW] 俊[WCW] 骏[CCW]捃[RVT] 郡[VTKB]KKa(ka) 喀[KPT] 咖[KLK] 咔[KHHY] 卡[HHU] 佧[WHH] 胩[EHH] 咯[KTK] Kai(ks) 开[GA] 锎[QUGA] 揩[RXXR] 慨[NVC] 蒈[AXXR] 楷[SXX] 锴[QXX] 恺[NMN] 垲[FMN] 剀[MNJ] 铠[QMN] 凯[MNM] 忾[NRN] Kan(kf) 刊[FJH] 堪[FAD] 勘[ADWL] 龛[WGKX] 看[RHF] 槛[SJT] 侃[WKQ] 坎[FQW] 莰[AFQW] 砍[DQW] 瞰[HNB] 嵌[MAF] 阚[UNB] 戡[ADWA] Kang(kg) 康[YVI] 慷[NYV] 糠[OYVI] 闶[UYMV] 扛[RAG] 亢[YMB] 炕[OYM] 抗[RYMN] 钪[QYMN] 伉[WYM] Kao(kd) 尻[NVV] 考[FTG] 烤[OFT] 栲[SFTN] 拷[RFT] 铐[QFTN] 靠[TFKD] 犒[TRYK] Ke(ke) 颏[YNTM] 磕[DFC] 嗑[KFCL] 瞌[HFCL] 疴[USKD] 珂[GSK] 坷[FSK] 苛[ASK] 柯[SSK] 轲[LSK] 呵[KSK] 窠[PWJ] 棵[SJS] 颗[JSD]科[TUFH] 蝌[JTU] 咳[KYNW] 壳[FPM] 渴[IJQ] 可[SK] 髁[MEJ]锞[QJS] 岢[MSK] 刻[YNT] 溘[IFCL] 恪[NTKG] 克[DQ] 氪[RNDQ]课[YJS] 骒[CJS] 客[PT] 钶[QSK] 缂[XAFH] 稞[TJSY] Ken(kr) 肯[HE] 啃[KHE] 恳[VENU] 垦[VEF] 裉[PUVE] Keng(kt) 坑[FYM] 吭[KYM] 铿[QJC] Kong(ky) 空[PW] 崆[MPW] 箜[TPW] 倥[WPW] 恐[AMYN] 孔[BNN] 控[RPW] Kou(kp) 芤[ABN] 抠[RAQ] 眍[HAQ] 口[KKKK] 寇[PFQC] 蔻[APFL] 扣[RK] 筘[TRK] 叩[KBH] Ku(ku) 苦[ADF] 喾[IPT] 库[YLK] 裤[PUY] 绔[XDF] 酷[SGTK] 堀[FNBM]骷[MEDG] 枯[SD] 哭[KKDU] 窟[PWN] 刳[DFNJ] Kua(kb) 夸[DFN] 垮[FDFN] 侉[WDF] 挎[RDFN] 跨[KHD] 胯[EDF] Kuai(kx) 蒯[AEEJ] 会[WF] 浍[IWFC] 哙[KWFC] 侩[WWFC] 脍[EWF] 狯[QTWC] 郐[WFCB] 块[FNW] 快[NNW] 筷[TNN] Kuan(kc) 宽[PAM] 髋[MEPQ] 款[FFI] Kuang(kh) 匡[AGD] 诓[YAGG] 框[SAGG] 哐[KAG] 筐[TAG] 狂[QTG] 夼[DKJ] 圹[FYT] 矿[DYT] 旷[JYT] 邝[YBH] 纩[XYT] 眶[HAG] 况[UKQ]贶[MKQ] 诳[YQT] Kui(kv) 窥[PWFQ] 悝[NJFG] 亏[FNV] 盔[DOL] 岿[MJV] 逵[FWFP] 奎[DFFF] 喹[KDF] 蝰[JDFF] 魁[RQCF] 隗[BRQ] 馗[VUTH] 葵[AWG] 揆[RWGD]暌[JWGD] 睽[HWGD] 夔[UHTT] 跬[KHFF] 傀[WRQ] 愧[NRQ] 溃[IKH]愦[NKHM] 蒉[AKHM] 聩[BKH] 匮[AKH] 篑[TKHM] 馈[QNK] 喟[KLE] Kun(kz) 髡[DEGQ] 坤[FJHH] 昆[JX] 琨[GJX] 醌[SGJX] 锟[QJX] 鲲[QGJX] 悃[NLS] 阃[ULS] 捆[RLS] 困[LS] Kuo(ko) 廓[YYB] 扩[RY] 阔[UIT] 栝[STDG] 括[RTD] 蛞[JTDG] 适[TDP]LLa(la) 拉[RU] 垃[FUG] 啦[KRU] 喇[KGK] 邋[VLQ] 砬[DUG] 旯[JVB] 落[AIT] 蜡[JAJ] 腊[EAJ] 辣[UGK] 剌[GKIJ] 瘌[UGKJ] 蓝[AJT] Lai(ls) 来[GO] 涞[IGO] 莱[AGO] 崃[MGO] 徕[TGO] 睐[HGO] 赉[GOM] 赖[GKIM] 濑[IGKM] 癞[UGKM] 籁[TGKM] 铼[QGOY] Lan(lf) 阑[UGLI] 澜[IUGI] 斓[YUGI] 镧[QUGI] 谰[YUGI] 兰[UFF] 栏[SUF] 拦[RUF] 婪[SSV] 褴[PUJL] 蓝[AJT] 篮[TJTL] 岚[MMQU] 漤[ISSV]懒[NGKM] 览[JTYQ] 榄[SJTQ] 揽[RJT] 罱[LFM] 滥[IJT] 烂[OUFG]缆[XJT] 褴[PUJL] Lang(lg) 啷[KYV] 郎[YVCB] 廊[YYV] 榔[SYV] 螂[JYV] 阆[UYV] 琅[GYV] 锒[QYVE] 稂[TYV] 狼[QTY] 朗[YVC] 浪[IYV] 莨[AYV] 蒗[AIYE] Lao(ld) 捞[RAP] 牢[PRH] 劳[APL] 痨[UAPL] 唠[KAP] 崂[MAP] 铹[QAP] 醪[SGNE] 潦[IDUI] 老[FTX] 栳[SFTX] 铑[QFTX] 佬[WFT] 姥[VFT]涝[IAP] 耢[DIAL] 烙[OTK] 落[AIT] 酪[SGTK] 络[XTK] Le(le) 肋[EL] 乐[QI] 泐[IBL] 叻[KLN] 仂[WLN] 勒[AFL] 鳓[QGAL] 了[B] Lei(lw) 勒[AFL] 擂[RFL] 雷[FLF] 檑[SFL] 镭[QFL] 累[LXI] 嫘[VLX] 缧[XLXI] 耒[DII] 诔[YDIY] 蕾[AFLF] 磊[DDD] 儡[WLL] 垒[CCCF]泪[IHG] 类[OD] 酹[SGE] 嘞[KAF] 肋[EL] 羸[YNKY] Leng(lt) 棱[SFW] 塄[FLY] 楞[SL] 冷[UWYC] 愣[NLY] Li(li) 哩[KJF] 离[YB] 漓[IYBC] 璃[GYB] 蓠[AYBC] 骊[CGM] 厘[DJFD] 喱[KDJF] 狸[QTJF] 罹[LNW] 梨[TJS] 蜊[JTJ] 犁[TJR] 黎[TQT]藜[ATQ] 黧[TQTO] 礼[PYNN] 李[SB] 逦[GMYP] 里[JFD] 悝[NJFG]理[GJ] 锂[QJF] 俚[WJF] 鲤[QGJF] 娌[VJFG] 澧[IMA] 醴[SGMU]鳢[QGMU] 蠡[XEJ] 立[UUUU] 粒[OUG] 莅[AWUF] 笠[TUF] 戾[YND]唳[KYND] 丽[GMY] 俪[WGMY] 郦[GMYB] 鬲[GKMH] 栗[SSU] 溧[ISSY]篥[TSS] 傈[WSS] 吏[GKQ] 厉[DDN] 疠[UDNV] 粝[ODD] 砺[DDDN]蛎[JDD] 励[DDNL] 詈[LYF] 利[TJH] 痢[UTJ] 莉[ATJ] 俐[WTJ]猁[QTT] 例[WGQ] 栎[SQI] 砾[DQI] 轹[LQI] 跞[KHQI] 隶[VII]历[DL] 沥[IDL] 疬[UDL] 雳[FDLB] 坜[FDL] 苈[ADL] 枥[SDL]呖[KDL] 荔[ALL] 鲡[QGGY] 鹂[GMYG] 缡[XYB] 嫠[FITV] 篱[TYB] Lia(lb) 俩[WGM] Lian(lj) 帘[PWM] 廉[YUVO] 濂[IYU] 蠊[JYU] 镰[QYUO] 臁[EYU] 怜[NWYC] 联[BU] 奁[DAQ] 连[LPK] 涟[ILP] 裢[PUL] 莲[ALP] 鲢[QGLP]琏[GLP] 裣[PUWI] 敛[WGIT] 蔹[AWGT] 脸[EWG] 恋[YON] 楝[SGL]炼[OANW] 练[XAN] 潋[IWGT] 殓[GQW] 链[QLP] Liang(lh) 粱[IVWO] 梁[IVW] 凉[UYIY] 椋[SYIY] 良[YV] 粮[OYV] 莨[AYV] 踉[KHYE] 量[JG] 两[GMWW] 俩[WGM] 魉[RQCW] 谅[YYI] 晾[JYIY]亮[YPM] 靓[GEM] 辆[LGM] Liao(lk) 撩[RDU] 聊[BQT] 寮[PDU] 燎[ODUI] 嘹[KDUI] 僚[WDU] 鹩[DUJG] 獠[QTDI] 缭[XDU] 寥[PNW] 辽[BP] 蓼[ANW] 潦[IDUI] 了[B]钌[QBH] 料[OU] 撂[RLT] 疗[UBK] 镣[QDU] 廖[YNW] 尥[DNQ] Lie(lm) 咧[KGQ] 裂[GQJE] 埒[FEF] 列[GQJ] 烈[GQJO] 洌[IGQ] 冽[UGQ] 趔[FHGJ] 捩[RYND] 劣[ITL] 猎[QTA] 鬣[DEVN] 躐[KHVN] Lin(ll) 麟[YNJH] 遴[OQA] 磷[DOQ] 辚[LOQ] 瞵[HOQ] 嶙[MOQ] 鳞[QGO] 粼[OQAB] 林[SS] 淋[ISS] 霖[FSS] 琳[GSS] 啉[KSS] 临[JTY]邻[WYCB] 凛[UYL] 廪[YYLI] 懔[NYL] 檩[SYLI] 吝[YKF] 蔺[AUW]躏[KHAY] 赁[WTFM] 膦[EOQ] Ling(l;) 凌[UFW] 菱[AFWT] 棱[SFW] 鲮[QGFT] 陵[BFW] 绫[XFW] 令[WYC] 泠[IWYC] 羚[UDWC] 零[FWYC] 玲[GWY] 苓[AWYC] 聆[BWYC] 瓴[WYCN]龄[HWBC] 囹[LWY] 蛉[JWYC] 铃[QWYC] 伶[WWYC] 翎[WYCN] 灵[VO]棂[SVO] 酃[FKK] 领[WYCM] 岭[MWYC] 另[KL] 呤[KWYC] 拎[RWYC]柃[SWYC] Liu(ln) 溜[IQYL] 熘[OQYL] 刘[YJ] 浏[IYJH] 流[IYC] 鎏[IYCQ] 旒[YTYQ] 琉[GYC] 留[QYVL] 瘤[UQYL] 遛[QYVP] 榴[SQY] 镏[QQYL] 馏[QNQL]骝[CQYL] 柳[SQT] 绺[XTH] 六[UY] 碌[DVI] 鹨[NWEG] 陆[BFM]硫[DYC] 锍[QYCQ] Lo(lo) 咯[KTK] Long(ly) 龙[DX] 泷[IDX] 珑[GDX] 茏[ADX] 聋[DXB] 栊[SDX] 砻[DXD] 咙[KDX] 笼[TDX] 胧[EDX] 隆[BTGG] 窿[PWB] 癃[UBTG] 垄[DXF]陇[BDX] 弄[GAJ] 拢[RDX] 垅[FDX] Lou(lp) 搂[RO] 娄[OV] 耧[DIO] 蒌[AOV] 楼[SOV] 喽[KOV] 蝼[JOV] 髅[MEO] 偻[WOV] 嵝[MOV] 篓[TOV] 漏[INFY] 瘘[UOV] 镂[QOV]露[FKHK] 陋[BGM] Lu(lu) 撸[RQG] 噜[KQG] 庐[YYNE] 炉[OYN] 芦[AYNR] 卢[HN] 泸[IHN] 垆[FHNT] 栌[SHNT] 颅[HNDM] 轳[LHNT] 舻[TEH] 鸬[HNQ] 胪[EHNT]鲈[QGHN] 卤[HLQ] 虏[HALV] 掳[RHA] 鲁[QGJ] 橹[SQG] 镥[QQG]鹿[YNJ] 漉[IYNX] 麓[SSYX] 辘[LYN] 簏[TYNX] 辂[LTKG] 赂[MTK]路[KHT] 潞[IKHK] 露[FKHK] 璐[GKHK] 鹭[KHTG] 蓼[ANW] 戮[NWE]渌[IVI] 禄[PYV] 逯[VIPI] 碌[DVI] 绿[XV] 陆[BFM] 氇[TFNJ]六[UY] 录[VI] Lü(lü) 旅[YTEY] 膂[YTEE] 褛[PUO] 偻[WOV] 屡[NO] 缕[XOV] 捋[REFY] 闾[UKKD] 榈[SUK] 驴[CYN] 吕[KK] 履[NTT] 率[YXI] 虑[HAN]。

二年级上写字练习拼音写汉字识字

二年级上写字练习拼音写汉字识字1～第4课Chūn sè yú shì yí rén pínɡɡuǒ fēnɡ měi zhōnɡ huá yǐ jīnɡ（）（）（）（）（）（）（）Yún cénɡ jìn lì xiě zì láo dònɡ zhuànɡ lì shuǐ bō qí zhōnɡ（）（）（）（）（）（）（）bō lànɡ zuò dá yóu qí jǐ kuài chē zhàn shān qū zhī shí（）（）（）（）（）（）（）pínɡān ɡǔ zi jù shí yǐ zhī shān wā lǜ dòu rúɡuǒ（）（）（）（）（）（）（）Shǒu xiān wá wɑ rì jì zhī yèɡuǒ shí fēnɡ lín jǐn liànɡ（）（）（）（）（）（）（）shí huàɡǔ zi qǐ sè fēnɡ zú hǎi lànɡ měi lì shēnɡ bō（）（）（）（）（）（）（）wén zì láo kǔ dà yú zuò yè qí shí tā men yóu wéi（）（）（）（）（）（）（）shí kuài jù dà záo yǐān quán zhàn lì qū bié jiǎ yú（）（）（）（）（）（）（）xué shí wā dì nǚ wá fēn fēi yóu hǎo jīn qiū shǒu dū（）（）（）（）（）（）（）zhuànɡ měi qì hòu yí rén dēnɡɡuānɡ chūn huá qiū shí（）（）（）（）jiǎ tiān xià pínɡɡuǒ lǜ liú lǎo shī rìɡuānɡ dēnɡ（）（）（）（）jīnɡ chánɡ hǎo bàn fǎ huánɡ dòu liú hǎi ér（）（）（）（）shù zhī fēnɡ yè jì fēn cénɡ miàn qì zhuànɡ shān hé（）（）（）（）（）huánɡ jīn rú rì zhōnɡ tiān（）（）二年级上写字练习拼音写汉字识字2～第8课yǎnɡ mǔɡānɡ qín xiànɡ qí xì fǎ shēnɡ xī nín hǎo shēn jìn （）（）（）（）（）（）（）xiū xi xiǎo yuàn chànɡɡē chú fǎān nínɡ chénɡ yuán qīnɡ cǎo （）（）（）（）（）（）（）yuán yànɡ xué xiào xiǎnɡ qǐ qīn qiè jiào shì bān chē yuán cháo （）（）（）（）（）（）（）shū bāo qiàn tiáo tàn qì jí shí hā qiɑn fēn zhōnɡ chí dào（）（）（）（）（）（）（）shēn biān xì xīn mínɡ cì zǐ xì jì shí duì lǐ wài ɡōnɡ（）（）（）（）（）（）（）jiā bān wài hánɡ lǐ rànɡ cì yào shēn tǐ rè nɑo chí zǎo（）（）（）（）（）（）（）jiào shī kě tàn qiàn ān bāo jiān měi yuán xì jié jí qiè（）（）（）（）（）（）（）xiào yuán bān jí yànɡ zi chú fēi qīnɡ nián huà shì nínɡ rì（）（）（）（）（）（）（）tián měi shēn shǒu yuè xī bǎ xìɡē shǒu hòu yuàn hú shuō（）（）（）（）（）（）（）ɡānɡ huāɡuān diǎn tiào qí qín fánɡ yǎnɡ jīn yú qiān niú huā（）（）（）（）（）（）qiān ɡuàɡuān tiān qì kùn dé hěn tán ɡānɡ qín tán chànɡ（）（）（）（）（）xiū xi shì lāèr hú nào zhōnɡ yòu xiānɡ yòu tián（）（）（）（）ɡènɡ jiā pēnɡ pēnɡ dì zhōnɡ biǎo pēnɡ rán xīn dònɡ（）（）（）（）xiǎnɡ shēnɡ jì shànɡ xīn lái kùn kǔ hā hā dà xiào（）（）（）（）xiū yǎnɡ shēnɡ xī（）二年级上写字练习拼音写汉字识字3～第12课xīyánɡrén mín ɡuǎnɡzhōu zhēnɡxiān tái běi mín zúshísān yì（）（）（）（）（）（）（）yuèqǔhuān lèjiébái qízhìxiānɡyōnɡzhōnɡyānɡshìmín zǔmǔqìnɡfēnɡshōu （）（）（）（）（）（）（）（）（）yōu měi huātán yōnɡbào chénɡshìshēn bàn hùdònɡtúhuàlìjiāo qiáo（）（）（）（）（）（）（）（）lèi huāduìqíhǎi yánɡzǔɡuóxiānɡhùběi jīnɡfāyánɡyìpǐdào lùliǎnɡpánɡ（）（）（）（）（）（）（）（）（）xīn qíjiǎnɡhuàjiēzhe jīnɡqíshíhou hòu chēshìɡùyìdàdián xínɡli（）（）（）（）（）（）（）（）( ）chījīnɡlián jiēshǒu zhǐdǎtīnɡjiǎnɡtán ɡùxiānɡchūqímǎpǐ（）（）（）（）（）（）（）（）lèi ɡuānɡjīnɡxìhùxiānɡshēn qǐnɡɡuójiāyōnɡyǒu xiānɡchǔtúshūbào bùpínɡ（）（）（）（）（）（）（）（）（）zǎo shìzhǎnɡchénɡtiān tán yīn liánɡyōu xiùpánɡbiān jiāo wǎnɡbiǎo yánɡtài pínɡyánɡ（）（）（）（）（）（）（）（）（）zǔxiān yānɡqiúhuān qìnɡshēnɡqíjiéjìnɡhuān kuài yìwàn ɡēqǔ（）（）（）（）（）（）（）（）hàn zútái fēnɡlìzhēnɡzhōu zhǎnɡsìchuān mín zhǔxīzhào yǔqí（）（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字4～第17课chǐcùn luòwǎnɡbácǎo bǔxílìɡōnɡzhēnɡqǔyìkēshùzhùrén wéi lè（）（）（）（）（）（）（）（）tái tóu jǐnɡyán huídácuòzìqīnɡwāxiānɡxìn wāwājiào wúbiān wújì（）（）（）（）（）（）（）（）qíɡuài měi tiān zěn me yìsi chuān zhuóɡuàshànɡxiǎo tùzi zìyán zìyǔ（）（）（）（）（）（）（）（）chūshìɡōnɡfu hào zǐyīfu biǎo shìhàn shuǐzhìyi zhìhóu nián mǎyuè（）（）（）（）（）（）（）（）suǒyǒu shānɡxīn xīqìyuán ɡào hóu zi yíchuàn chuàn yìkēhuánɡdòu（）（）（）（）（）（）（）ɡào shìhúli ɡào su hái shìtiān ātùmáo bǐyi bǐwān wān qūqū（）（）（）（）（）（）（）（）chuàn mén chūhàn jíqíshānɡkǒu màn màn de duìhào rùzuò（）（）（）（）（）（）shìyìwài biǎo qiǎn hǎi bǐrúsīxiǎnɡqiǎn lǜsèhái yào wān lù（）（）（）（）（）（）（）（）màn pǎo chuān xínɡzuòɡuài pǐfūɡuàniàn fúcónɡpiào liɑnɡhuàqǔchánɡbǔduǎn（）（）（）（）（）（）（）（）zhìɡuófāyán xīqǔzěn yànɡměi cìyìkēcǎo bámiáo zhùzhǎnɡ（）（）（）（）（）（）（）jiāo cuòɡuójìshūxìn wèn dásuǒyǐtái qǐlái（）（）（）（）（）（）ɡōnɡláo bǔdīnɡxuǎn bácùn tǔzuòluòpiào liɑnɡhǎo ā（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字5～第21课zhènɡdānɡdǎzhérónɡyìyǐzi tiāo shuǐmǎn zútiào bǎn yìɡēn xiǎo cǎo（）（）（）（）（）（）（）（）（）rónɡɡuānɡdúlìdàn shìwén bǐměi shùɡuòqīxiāo chúbànɡwǎn qīnɡjié（）（）（）（）（）（）（）（）（）fēnɡjǐnɡnáchūzhuōyǐtǔzìzhùyìkèzhuōqiān bǐxìnɡhǎo shíxiàn（）（）（）（）（）（）（）（）（）sōnɡshùzhùfúzǒu lùzhuāzhùqìnɡzhùzhīhòu zhíchǐchēlún（）（）（）（）（）（）（）（）kǒu lìnɡqiān jīn xiàn zài mǎn yìlún dào xīnɡqīkuài bǎn dào lùyìpǐbù（）（）（）（）（）（）（）（）（）xiào rónɡzhéfújīn liǎnɡjiāo yìshùɡēn kāi cǎi bēi bāo dúdào zhīchùmén dì（）（）（）（）（）（）（）（）（）chánɡyǐdàn fán bànɡwǎn yóu yúxiāo xi shǒu shùjǐnɡsèjiānádàɡōnɡbù（）（）（）（）（）（）（）（）（）ɡuān zhùbǐjìzhuōzi shànɡkèqiān qiúxìnɡhuìyìzhāɡān cǎo（）（）（）（）（）（）（）（）zhùhèxìnɡfújùhào zhènɡzhídānɡqián qǔzhībújìn ɡōnɡfu（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字6～第25课xiǎo chǒu yǒng yuǎn pín mín fēng fùchǒu huàpín kǔyǒng shēng nán wàng（）（）（）（）（）（）（）láo jìjiěmèi qīng zhōu yīn yuèkèqi héshíshuǐwāng wāng（）（）（）（）（）（）（）fùguówēn qíng bǎo mǎn yàjūn hùwài wēn nuǎn wēn shìyàrèdài（）（）（）（）（）（）（）（）yōu liáng xún shíkūsùzhǔshíchuáng shàng bìng chuáng xún zhǎo shēn zhāng zhèng yì（）（）（）（）（）（）（）（）bǎo hénuǎn huo hùkǒu jiǎo luòsìzhōu kāi shǐyìzhāng xiào liǎn（）（）（）（）（）（）（）liáng hǎo chuáng yán kàn bìng huǒshíshēn tǐzuótiān tǐcāo fàng shēng dàkū（）（）（）（）（）（）（）（）qíng tiān gūmācāo chǎng yífèn gūniang shuāng qīn fěn bǐqíng kōng wàn lǐ（）（）（）（）（）（）（）（）mèi mei dúshūxiǎo zhōu xiāng yīn kèrén héchùwāng yáng chéng zhōu cóng lín （）（）（）（）（）（）（）（）（）tǐwēn cāo liàn guǎng chǎng nián fèn zuórìgūgu dàniáng fěn hóng sè（）（）（）（）（）（）（）（）chéng fǎhuācóng láo fáng（）（）（）二年级上写字练习拼音写汉字识字7～第29课cóng lín láo jìpāi shǒu bǎo ān bǎo hùdòng wùhuāmāo yǎng jīchǎng（）（）（）（）（）（）（）（）qīng chén jīling yǔmáo lǐxiǎng huóyuèbèng gāo dài lǐng zhuōchóng zi（）（）（）（）（）（）（）（）rēng xiàng xiāo shījuédédiào jìn yǎn lèi yǎn jing zhǐzhāng yǔmáo qiú（）（）（）（）（）（）（）（）lún chuán bùjiǔzài hu gān sǐzhìshǎo wān yāo jiǎn qǐbèng bèng tiào tiào （）（）（）（）（）（）（）（）zhòng liàng shālìbèi zi bìng lìyèwǎn xǐhuān qìwèi xǐqìyáng yáng （）（）（）（）（）（）（）（）qīng shēng shíkèyìqún huācóng láo fáng pāi dǎbǎo wēn dìng jīng yíkàn（）（）（）（）（）（）（）（）bǎi ling ài hùjǐng wùmāo yǎn jīmáo chén dúzhuōnámiàn bāo zhǐ（）（）（）（）（）（）（）（）rēng qiúlǐfàshīluòzìjuéchúdiào yǎn sèsǐqùhuólái（）（）（）（）（）（）（）chuán yuán jiǔyuǎn jīhūyāo guǒkēlìzhòng yào hébìng zhìgāo wúshàng （）（）（）（）（）（）（）（）qīng sōng guòyèwèi dào lìkèqún tǐjiǎn dōng xi yìchuáng bèi hóng lǐng jīn （）（）（）（）（）（）（）（）二年级上识字8至34课拼音写汉字wèi xīng yǔ zhòu jūn jiàn shuǐ chí fǎng zhī fú lì shài tài yang bǎo jiā wèi guó（）（）（）（）（）（）（）（）yùn dòng zhǐǐ wén chǎng jiāàn shàng bāo wéi zāi qū hēi yī fu píng ān wú shì（）（）（）（）（）（）（）（）chōng xǐ hài pà chǎn shēng shān dòng chōng làng yì jiàn háng kōng mǔ jiàn（）（）（）（）（）（）（）huǒ zāi bì xū piāo yáng wài sūn jīn bēi lì shǐ kē xué yǔ háng yuán（）（）（）（）（）（）（）（）hēi yè yuè qì yǐng zi zhí wù jiè yì yóu lè shài yī fu yǒu shǐ yǐ lái（）（）（）（）（）（）（）（）zāi hài shuǐ chí qiáo dòng bì dìng jī qì chūn yóu miè huǒ qì yí dài yi dài （）（）（）（）（）（）（）（）dào chēhú xū bàn yuán zhōu wéi shì qíng qiān kèhuó huà shí zhuān kē（）（）（）（）（）（）（）（）shuǐ bēi bō wén dào yǐng zhù suǒ piāo dào kě néng yùn yòng zhī nǚ xīng （）（）（）（）（）（）（）（）shǐ xué kè fú néng liàng wén jiàn xiāo miè bì yào fǎng chē nóng mín（）（）（）（）（）（）（）（）wén huà sūn zi jiàn duì zhòng zhí hǎi àn yuán mǎn zhù yuàn zhī bù（）（）（）（）（）（）（）（）Tái lì jiè rù gōng chǎng chǎn liàng nóng yè diàn yǐng shí dài kē jì（）（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字1～第4课Chūn sè yú shì yí rén pínɡɡuǒ fēnɡ měi zhōnɡ huá yǐ jīnɡ（）（）（）（）（）（）（）Yún cénɡ jìn lì xiě zì láo dònɡ zhuànɡ lì shuǐ bō qí zhōnɡ（）（）（）（）（）（）（）bō lànɡ zuò dá yóu qí jǐ kuài chē zhàn shān qū zhī shí（）（）（）（）（）（）（）pínɡān ɡǔ zi jù shí yǐ zhī shān wā lǜ dòu rúɡuǒ（）（）（）（）（）（）（）Shǒu xiān wá wɑ rì jì zhī yèɡuǒ shí fēnɡ lín jǐn liànɡ（）（）（）（）（）（）（）shí huàɡǔ zi qǐ sè fēnɡ zú hǎi lànɡ měi lì shēnɡ bō（）（）（）（）（）（）（）wén zì láo kǔ dà yú zuò yè qí shí tā men yóu wéi（）（）（）（）（）（）（）shí kuài jù dà záo yǐān quán zhàn lì qū bié jiǎ yú（）（）（）（）（）（）（）xué shí wā dì nǚ wá fēn fēi yóu hǎo jīn qiū shǒu dū（）（）（）（）（）（）（）zhuànɡ měi qì hòu yí rén dēnɡɡuānɡ chūn huá qiū shí（）（）（）（）jiǎ tiān xià pínɡɡuǒ lǜ liú lǎo shī rìɡuānɡ dēnɡ（）（）（）（）jīnɡ chánɡ hǎo bàn fǎ huánɡ dòu liú hǎi ér（）（）（）（）shù zhī fēnɡ yè jì fēn cénɡ miàn qì zhuànɡ shān hé（）（）（）（）（）huánɡ jīn rú rì zhōnɡ tiān（）（）二年级上写字练习拼音写汉字识字2～第8课yǎnɡ mǔɡānɡ qín xiànɡ qí xì fǎ shēnɡ xī nín hǎo shēn jìn （）（）（）（）（）（）（）xiū xi xiǎo yuàn chànɡɡē chú fǎān nínɡ chénɡ yuán qīnɡ cǎo （）（）（）（）（）（）（）yuán yànɡ xué xiào xiǎnɡ qǐ qīn qiè jiào shì bān chē yuán cháo （）（）（）（）（）（）（）shū bāo qiàn tiáo tàn qì jí shí hā qiɑn fēn zhōnɡ chí dào（）（）（）（）（）（）（）shēn biān xì xīn mínɡ cì zǐ xì jì shí duì lǐ wài ɡōnɡ（）（）（）（）（）（）（）jiā bān wài hánɡ lǐ rànɡ cì yào shēn tǐ rè nɑo chí zǎo（）（）（）（）（）（）（）jiào shī kě tàn qiàn ān bāo jiān měi yuán xì jié jí qiè（）（）（）（）（）（）（）xiào yuán bān jí yànɡ zi chú fēi qīnɡ nián huà shì nínɡ rì（）（）（）（）（）（）（）tián měi shēn shǒu yuè xī bǎ xìɡē shǒu hòu yuàn hú shuō（）（）（）（）（）（）（）ɡānɡ huāɡuān diǎn tiào qí qín fánɡ yǎnɡ jīn yú qiān niú huā（）（）（）（）（）（）qiān ɡuàɡuān tiān qì kùn dé hěn tán ɡānɡ qín tán chànɡ（）（）（）（）（）xiū xi shì lāèr hú nào zhōnɡ yòu xiānɡ yòu tián（）（）（）（）ɡènɡ jiā pēnɡ pēnɡ dì zhōnɡ biǎo pēnɡ rán xīn dònɡ（）（）（）（）xiǎnɡ shēnɡ jì shànɡ xīn lái kùn kǔ hā hā dà xiào（）（）（）（）xiū yǎnɡ shēnɡ xī（）二年级上写字练习拼音写汉字识字3～第12课xīyánɡrén mín ɡuǎnɡzhōu zhēnɡxiān tái běi mín zúshísān yì（）（）（）（）（）（）（）yuèqǔhuān lèjiébái qízhìxiānɡyōnɡzhōnɡyānɡshìmín zǔmǔqìnɡfēnɡshōu （）（）（）（）（）（）（）（）（）yōu měi huātán yōnɡbào chénɡshìshēn bàn hùdònɡtúhuàlìjiāo qiáo（）（）（）（）（）（）（）（）lèi huāduìqíhǎi yánɡzǔɡuóxiānɡhùběi jīnɡfāyánɡyìpǐdào lùliǎnɡpánɡ（）（）（）（）（）（）（）（）（）xīn qíjiǎnɡhuàjiēzhe jīnɡqíshíhou hòu chēshìɡùyìdàdián xínɡli（）（）（）（）（）（）（）（）( ）chījīnɡlián jiēshǒu zhǐdǎtīnɡjiǎnɡtán ɡùxiānɡchūqímǎpǐ（）（）（）（）（）（）（）（）lèi ɡuānɡjīnɡxìhùxiānɡshēn qǐnɡɡuójiāyōnɡyǒu xiānɡchǔtúshūbào bùpínɡ（）（）（）（）（）（）（）（）（）zǎo shìzhǎnɡchénɡtiān tán yīn liánɡyōu xiùpánɡbiān jiāo wǎnɡbiǎo yánɡtài pínɡyánɡ（）（）（）（）（）（）（）（）（）zǔxiān yānɡqiúhuān qìnɡshēnɡqíjiéjìnɡhuān kuài yìwàn ɡēqǔ（）（）（）（）（）（）（）（）hàn zútái fēnɡlìzhēnɡzhōu zhǎnɡsìchuān mín zhǔxīzhào yǔqí（）（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字4～第17课chǐcùn luòwǎnɡbácǎo bǔxílìɡōnɡzhēnɡqǔyìkēshùzhùrén wéi lè（）（）（）（）（）（）（）（）tái tóu jǐnɡyán huídácuòzìqīnɡwāxiānɡxìn wāwājiào wúbiān wújì（）（）（）（）（）（）（）（）qíɡuài měi tiān zěn me yìsi chuān zhuóɡuàshànɡxiǎo tùzi zìyán zìyǔ（）（）（）（）（）（）（）（）chūshìɡōnɡfu hào zǐyīfu biǎo shìhàn shuǐzhìyi zhìhóu nián mǎyuè（）（）（）（）（）（）（）（）suǒyǒu shānɡxīn xīqìyuán ɡào hóu zi yíchuàn chuàn yìkēhuánɡdòu（）（）（）（）（）（）（）ɡào shìhúli ɡào su hái shìtiān ātùmáo bǐyi bǐwān wān qūqū（）（）（）（）（）（）（）（）chuàn mén chūhàn jíqíshānɡkǒu màn màn de duìhào rùzuò（）（）（）（）（）（）shìyìwài biǎo qiǎn hǎi bǐrúsīxiǎnɡqiǎn lǜsèhái yào wān lù（）（）（）（）（）（）（）（）màn pǎo chuān xínɡzuòɡuài pǐfūɡuàniàn fúcónɡpiào liɑnɡhuàqǔchánɡbǔduǎn （）（）（）（）（）（）（）（）zhìɡuófāyán xīqǔzěn yànɡměi cìyìkēcǎo bámiáo zhùzhǎnɡ（）（）（）（）（）（）（）jiāo cuòɡuójìshūxìn wèn dásuǒyǐtái qǐlái（）（）（）（）（）（）ɡōnɡláo bǔdīnɡxuǎn bácùn tǔzuòluòpiào liɑnɡhǎo ā（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字5～第21课zhènɡdānɡdǎzhérónɡyìyǐzi tiāo shuǐmǎn zútiào bǎn yìɡēn xiǎo cǎo（）（）（）（）（）（）（）（）（）rónɡɡuānɡdúlìdàn shìwén bǐměi shùɡuòqīxiāo chúbànɡwǎn qīnɡjié（）（）（）（）（）（）（）（）（）fēnɡjǐnɡnáchūzhuōyǐtǔzìzhùyìkèzhuōqiān bǐxìnɡhǎo shíxiàn（）（）（）（）（）（）（）（）（）sōnɡshùzhùfúzǒu lùzhuāzhùqìnɡzhùzhīhòu zhíchǐchēlún（）（）（）（）（）（）（）（）kǒu lìnɡqiān jīn xiàn zài mǎn yìlún dào xīnɡqīkuài bǎn dào lùyìpǐbù（）（）（）（）（）（）（）（）（）xiào rónɡzhéfújīn liǎnɡjiāo yìshùɡēn kāi cǎi bēi bāo dúdào zhīchùmén dì（）（）（）（）（）（）（）（）（）chánɡyǐdàn fán bànɡwǎn yóu yúxiāo xi shǒu shùjǐnɡsèjiānádàɡōnɡbù（）（）（）（）（）（）（）（）（）ɡuān zhùbǐjìzhuōzi shànɡkèqiān qiúxìnɡhuìyìzhāɡān cǎo（）（）（）（）（）（）（）（）zhùhèxìnɡfújùhào zhènɡzhídānɡqián qǔzhībújìn ɡōnɡfu（）（）（）（）（）（）（）二年级上写字练习拼音写汉字识字6～第25课xiǎo chǒu yǒng yuǎn pín mín fēng fùchǒu huàpín kǔyǒng shēng nán wàng（）（）（）（）（）（）（）láo jìjiěmèi qīng zhōu yīn yuèkèqi héshíshuǐwāng wāng（）（）（）（）（）（）（）fùguówēn qíng bǎo mǎn yàjūn hùwài wēn nuǎn wēn shìyàrèdài（）（）（）（）（）（）（）（）yōu liáng xún shíkūsùzhǔshíchuáng shàng bìng chuáng xún zhǎo shēn zhāng zhèng yì（）（）（）（）（）（）（）（）bǎo hénuǎn huo hùkǒu jiǎo luòsìzhōu kāi shǐyìzhāng xiào liǎn（）（）（）（）（）（）（）liáng hǎo chuáng yán kàn bìng huǒshíshēn tǐzuótiān tǐcāo fàng shēng dàkū（）（）（）（）（）（）（）（）qíng tiān gūmācāo chǎng yífèn gūniang shuāng qīn fěn bǐqíng kōng wàn lǐ（）（）（）（）（）（）（）（）mèi mei dúshūxiǎo zhōu xiāng yīn kèrén héchùwāng yáng chéng zhōu cóng lín （）（）（）（）（）（）（）（）（）tǐwēn cāo liàn guǎng chǎng nián fèn zuórìgūgu dàniáng fěn hóng sè（）（）（）（）（）（）（）（）chéng fǎhuācóng láo fáng（）（）（）二年级上写字练习拼音写汉字识字7～第29课cóng lín láo jìpāi shǒu bǎo ān bǎo hùdòng wùhuāmāo yǎng jīchǎng（）（）（）（）（）（）（）（）qīng chén jīling yǔmáo lǐxiǎng huóyuèbèng gāo dài lǐng zhuōchóng zi（）（）（）（）（）（）（）（）rēng xiàng xiāo shījuédédiào jìn yǎn lèi yǎn jing zhǐzhāng yǔmáo qiú（）（）（）（）（）（）（）（）lún chuán bùjiǔzài hu gān sǐzhìshǎo wān yāo jiǎn qǐbèng bèng tiào tiào （）（）（）（）（）（）（）（）zhòng liàng shālìbèi zi bìng lìyèwǎn xǐhuān qìwèi xǐqìyáng yáng （）（）（）（）（）（）（）（）qīng shēng shíkèyìqún huācóng láo fáng pāi dǎbǎo wēn dìng jīng yíkàn（）（）（）（）（）（）（）（）bǎi ling ài hùjǐng wùmāo yǎn jīmáo chén dúzhuōnámiàn bāo zhǐ（）（）（）（）（）（）（）（）rēng qiúlǐfàshīluòzìjuéchúdiào yǎn sèsǐqùhuólái（）（）（）（）（）（）（）chuán yuán jiǔyuǎn jīhūyāo guǒkēlìzhòng yào hébìng zhìgāo wúshàng （）（）（）（）（）（）（）（）qīng sōng guòyèwèi dào lìkèqún tǐjiǎn dōng xi yìchuáng bèi hóng lǐng jīn （）（）（）（）（）（）（）（）二年级上识字8至34课拼音写汉字wèi xīng yǔ zhòu jūn jiàn shuǐ chí fǎng zhī fú lì shài tài yang bǎo jiā wèi guó（）（）（）（）（）（）（）（）yùn dòng zhǐǐ wén chǎng jiāàn shàng bāo wéi zāi qū hēi yī fu píng ān wú shì（）（）（）（）（）（）（）（）chōng xǐ hài pà chǎn shēng shān dòng chōng làng yì jiàn háng kōng mǔ jiàn（）（）（）（）（）（）（）huǒ zāi bì xū piāo yáng wài sūn jīn bēi lì shǐ kē xué yǔ háng yuán（）（）（）（）（）（）（）（）hēi yè yuè qì yǐng zi zhí wù jiè yì yóu lè shài yī fu yǒu shǐ yǐ lái（）（）（）（）（）（）（）（）zāi hài shuǐ chí qiáo dòng bì dìng jī qì chūn yóu miè huǒ qì yí dài yi dài （）（）（）（）（）（）（）（）dào chēhú xū bàn yuán zhōu wéi shì qíng qiān kèhuó huà shí zhuān kē（）（）（）（）（）（）（）（）shuǐ bēi bō wén dào yǐng zhù suǒ piāo dào kě néng yùn yòng zhī nǚ xīng （）（）（）（）（）（）（）（）shǐ xué kè fú néng liàng wén jiàn xiāo miè bì yào fǎng chē nóng mín（）（）（）（）（）（）（）（）wén huà sūn zi jiàn duì zhòng zhí hǎi àn yuán mǎn zhù yuàn zhī bù（）（）（）（）（）（）（）（）Tái lì jiè rù gōng chǎng chǎn liàng nóng yè diàn yǐng shí dài kē jì（）（）（）（）（）（）（）（）。

YASKAWA J1000 安川变频器小型简易型说明书

‫ݟ‬౦΍ၸԪᮟ٧ஂ૆ࢹХ%SJWF8J[BSE1MVTὋࡂᑞఝழΦ‫ڠ‬᤯ ᣾ႂᑧࠪԪᮟ٧ᤈᛠុஞǋ፤એͺˉǌԟஜክူ౜˝ࠓ௛Ὃᜈ ‫ܫ‬థՉሗᄢଌҩᑞǋഴयఛጲᤁᛠǋᇧจ٧ኍҩᑞǌ
*2 : Ժ̯ఴМՂᄉֵ̖ǋ੾శζোᎩቢ IUUQXXXZBTLBXBDPNDO
Б᠟ʽᣑǌ
LED ୱͺ٧*1 ᤤ᠓͇
ᤳऎ଼ጉҩᑞ
௃͛ਕ٧˶ᑞ΍ᒬၿᤁᛠ࿃খᄉႂ఺ᣏౚᡐҮǌ ःၸᇧΒὙࣛ᮲੠੊ᴁ᮲఺᯵Үኍ஼ᣀͳᄉึͳ఺೙
ႂຸႂԌ
500 ms
ႂ఺ᤳऎ ᣤѢᮟည
60 Hz 60 Hz
ᣤѢႂึ
̾ᒬၿᤁᛠௐᄉႂ఺ᤳऎᄰःᄉᮟ ညध‫ࣰݼ‬ሶҪᤳǌ
ᒬၿᤁᛠ
߸ؒᄉ҃Үҩᑞ
᣾Ҵᇒ҃Үҩᑞ‫ڙ‬௃ႂ᫽٧ᄉৰхʽ˶ᑞࠃஶጊপ҃Үǌ ੝థ఺‫ᦏۋ‬ЮᎵ҃ҮంͳክὋԵ᜵Ҫᜈ҃Үႂ᫽٧ࡂᑞ३ҁ ఝܷᄉ҃ҮҦǌ
加减速时间切换运行
切换加减速时间进行运行。
在低速范围快速加减速、仅在高速范围需要缓慢
加减速时有效。
S 字时间特性
可防止起动、停止时的冲击。
在加减速开始和结束时，可通过设定 S 字时间，
*3 : ᭉ᜵ଋԯӬЊ ᤤ᠓͇
ǌ
᤯᣾ࣛ64#ᄉુ᠄ᜈᎵፑʶክူ ࢹԇ
ҨМࠈ
ࣛ64#ᄉ ુ᠄ᜈᎵ
ԟஜ
ࣛ64#ᄉ ુ᠄ᜈᎵ
Ԫᮟ٧ࢹር੾శࢹХ NJOJ+
ᒬҮᣀ૰ԟஜᄉ᯵Ү٧Ꮅ૰ҩᑞǌ ளǋேԪᮟ٧ఝ૰ௐὋ̾ԢʹʶԪᮟ٧Ѣဗ஋ᬩᭉ᜵ఝ૰ௐὋ ᦏᑞᄴԜԟஜ᝹߿ᄉ൥ᰠǌ
ቿՋ$&Ὃ6-ὋD6-ኍ‫ڍ‬ᬄಕэὋКီᦏᑞஉॶ΍ၸǌ
7
用于各种类型机械的长处
J1000 可根据用途最大限度地发挥其特性。
ึͳ఺೙
1 ᫁‫ܪ‬

不常用汉字拼音对照表

不常用汉字拼音对照表标签：拼音输入法拼音读音对照表汉字呵呵，相信现在多数朋友都比较习惯使用各种拼音输入法，对于笔划输入的繁琐以及难以记忆的字根心有余悸。

相信有朋友跟我一样常常遇到使用拼音输入法的时候一些不常用的字无法确定其准确读音而打不出来的尴尬，我整理了一些偶尔出现大家又不太熟悉的字并标识其读音，希望可以帮点小忙；每类读音后都有跟随常见字，其同类字均属一个拼音：a )吖阿呵啊锕腌啊嗄阿啊阿啊呵啊ai )哎哀埃挨唉娭诶嗳锿挨騃皑癌佁欸嗳矮蔼霭艾阨砹唉爱僾餲隘薆碍嗳嗌嫒叆瑷暧鑀噫an )厂广安桉氨庵谙媕鹌腤鮟鞍盫啽垵俺埯唵铵揞晻犴岸按胺案晻闇暗黯ang) 肮卬仰昂枊盎醠ao )凹熬爊敖隞嶅遨嗷廒璈獒熬聱螯翱謷鳌嚣鏖夭芺拗袄媪岙垇坳拗奡傲奥骜墺懊澳鏊ba )八巴扒叭朳芭夿吧岜疤捌笆粑豝鲃茇拔胈菝跋魃鼥把钯靶坝把伯弝杷爸耙罢靶鲅霸灞叭吧罢bai )掰白百伯佰陌柏捭摆呗败拜稗韛ban )扳攽班般颁斑搬斒瘢癍阪坂板版钣舨蝂魬办半扮伴坢拌姅绊柈湴瓣bang) 邦帮梆浜绑榜膀蚌旁棒棓傍谤塝蒡榜搒稖膀磅镑bao )勹包苞孢枹胞炮剥龅煲褒雹薄饱宝保鸨葆堡褓报刨抱趵豹菢鲍暴虣瀑曝爆bei )陂杯卑背桮椑悲碑鹎北贝孛邶狈备背钡倍悖偝被琲棓辈惫焙蓓碚骳褙糒鞴鐾呗臂ben )奔贲锛本苯畚夯坌奔倴笨beng )伻祊絣崩绷嘣甭菶绷琫泵迸蚌绷甏镚蹦bi )屄皀逼鲾鎞荸鼻匕比吡佊妣彼秕笔俾舭箄鄙币必毕闭芘庇邲诐苾畀閟泌駜珌柲贲荜毖哔饆陛毙铋秘笓狴萆梐庳敝婢堛皕赑筚愊愎弼蓖睥跸腷痹煏滗裨辟鮅碧馝箅蔽弊髲薜觱篦鷩壁嬖避髀濞臂奰璧襣襞躄bian )边砭笾萹编煸蝙箯鳊鞭贬窆扁匾萹惼碥稨褊藊卞弁苄抃忭汳汴变昪便揙遍缏艑辨辩辫biao) 杓标飑骉髟彪猋摽幖滮骠膘麃熛镖飙瘭藨瀌穮鑣表婊裱褾檦俵摽鳔bie )瘪憋鳖别蹩瘪别bin )邠玢宾彬傧斌滨缤槟鑌蠙濒豳摈殡膑鬓bing )冰并兵屏栟槟丙邴秉柄饼炳屏绠蛃禀鞞并病摒bo )拨波玻砵哱趵饽钵般剥菠啵鲅播嶓蕃孛伯驳帛瓝泊柏勃钹铂亳浡袯舶脖博葧鹁渤搏鲌馎僰箔魄膊踣镈薄馞襮礴跛簸柏薄檗擘簸bo)卜啵膊bu )钸逋峬庯晡餔醭卜卟补捕哺鵏堡不布步吥怖钚埔部埠瓿蔀篰簿ca )拆擦嚓礤cai )偲猜才材财裁采彩綵睬踩采菜蔡縩can )参骖餐残蚕惭惨穇篸憯黪灿掺孱粲璨cang) 仓伧苍沧鸧舱臧藏鑶cao )糙操曹嘈漕槽螬艚草懆肏ce )册厕侧恻测策筴箣cen )参岑涔梣ceng )噌层曾嶒蹭cha )叉扱杈臿差插嗏喳馇碴锸艖嚓叉垞茬查茶搽嵖猹楂槎碴察檫叉衩蹅镲叉汊杈岔侘刹衩诧咤差姹chai )拆钗差侪柴豺茝差虿瘥chan 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Source apportionment of PM2.5 in urban area of Hong Kong

Journal of Hazardous Materials B138(2006)73–85Source apportionment of PM2.5in urban area of Hong KongK.F.Ho a,∗,J.J.Cao b,S.C.Lee a,Chak K.Chan ca Department of Civil&Structural Engineering The Hong Kong Polytechnic University,Hong Kong,Chinab State Key Laboratory of Loess&Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences,Chinac Department of Chemical Engineering,Hong Kong University of Science and Technology,Clear Water Bay,Kowloon,Hong Kong,ChinaReceived3March2006;received in revised form15May2006;accepted15May2006Available online20May2006AbstractA monitoring program for PM2.5had been performed at two urban monitoring stations in Hong Kong from November2000to February2001 and June2001to August2001.PM2.5samples were collected once every6days at PolyU and KT stations with the sampling duration of24-h.A sum of25chemical species in PM2.5were determined and selected for receptor models.Enrichment factors relative to earth crust abundances were evaluated and it was noted that most crustal elements including Al,Ti,Mg,Ca and K have small enrichment factors.Correlation and multivariate analysis technique,such as principal components analysis(PCA)/absolute principal components analysis(APCA)and cluster analysis(CA)are used for source apportionment to identify the possible sources of PM2.5and to determine their contribution.Six factors at each site were isolated by using PCA/APCA and cluster analysis.Similar sources(crustal matter,automobile emission,diesel emission,secondary aerosols,tire wear, and non-ferrous smelter)are identiﬁed by the PCA/APCA and cluster analysis.©2006Elsevier B.V.All rights reserved.Keywords:Source apportionment;Enrichment factors;Absolute principal components analysis(APCA);Cluster analysis1.IntroductionReceptor models provide a theoretical and mathematical framework for quantifying source contributions.They interpret measurement of physical and chemical properties taken at dif-ferent times and places to infer the possible or probable sources and to quantify the contributions from those sources[1].The purpose of a receptor source apportionment model is to estimate the contributions of speciﬁc source types to pollutant levels in the atmosphere at a sampling(or receptor)site.The contributions of each source are distinguished through differences in their physical and chemical puter-generated source apportionment results must be interpreted by those with knowl-edge of the site and the associated potential sources.Principal component analysis(PCA)is one of the oldest and most widely used multivariate statistical techniques in the atmo-spheric sciences[2].Usually the data for atmospheric aerosols exhibit many large correlations among parameters and PCA results in a much more compact representation of their varia-∗Corresponding author.Tel.:+852********;fax:+852********.E-mail address:cekfho@.hk(K.F.Ho).tions.By using PCA,Saucy(1991)was able to identify three major sources that contributed to the atmospheric aerosol(near Phoenix,Arizona),namely crustal material,copper smelters and marine air[3].Fung and Wong(1995)sampled total suspended particulates(TSP)in the western part of the New Territories in Hong Kong between1986and1987and analyzed various trace metals(e.g.Se,As,Sr,V,etc)as markers[4].Then PCA was applied to identify the sources and the mass contributions of each source obtained.In many recent source apportionment studies, quantitative aerosol source apportionment was performed using absolute principal component analysis[5–8].The APCA model can determine:(1)the number of relevant source types inﬂuenc-ing the receptor site,(2)the source proﬁles of these sources in absolute numbers and,ﬁnally(3)the impact that each source type has on the concentration levels of the measured air pollu-tants at the receptor site[5].The cluster analysis is another effective multivariate statis-tical method.Although cluster analysis is a potentially use-ful technique for grouping samples,its application to atmo-spheric studies has not been attempted broadly.One of the reasons might lie in the difﬁcult interpretation related to the dendrograms.Environmental variables may force unclear sam-ple groups such that the dendrogram is difﬁcult to interpret.In0304-3894/$–see front matter©2006Elsevier B.V.All rights reserved. doi:10.1016/j.jhazmat.2006.05.04774K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–85spite of this,it is considered that cluster analysis should be per-formed,at the very least,to conﬁrm the sample score groups[9]. Saucy(1991)also coupled cluster analysis with principal com-ponent analysis to examine compositions and time-dependent concentrations of aerosol particles;they revealed15chemi-cally distinct particle types from the samples[3].Most source identiﬁcation/apportionment applications have been based on inorganic aerosol components,primarily trace elements often combined with ionic components[10,11].Moreover,previous work on receptor modeling study of aerosols in East Asia is rather limited[4,12–15].The objective of this study was to isolate,identify and quantify possible sources that con-tributed toﬁne particulate matter(PM2.5)in urban area of Hong Kong.2.Methodology2.1.Sampling sitesTwo sampling sites including The Hong Kong Polytechnic University(PolyU campus)and Kwun Tong(KT)were selected for PM2.5monitoring.Theﬁeld descriptions were given as fol-lows(Fig.1).PolyU campus:It situated at about6m above ground level and about8m away from the main trafﬁc road.The station is adjacent to Hong Chong Road,which leads to the Cross Harbour Tunnel.The trafﬁc volume of the road is extremely high which is more than170,000vehicles per day.Kwun Tong(KT):It is close to the residential buildings and most of vehicles are light-and heavy-duty vehicles.Kwun Tong belongs to one of the EPD air quality monitoring stations,which were chosen for data comparison;it represents as mixed residen-tial/commercial/industrial area.The samples were collected on the rooftop of25m.2.2.Sampling methodThe monitoring program for PM2.5had been performed at two urban monitoring stations in Hong Kong during the two studies periods((1)November2000to February2001and(2) June2001to August2001).PM2.5samples were collected once every6days(24-h sampling duration)at PolyU and KT stations.The high volume(hi-vol)samplers manufactured by Ander-sen Instruments/GMW were used for PM2.5sampling at two monitoring stations.The hi-vol samplers were operated atﬂow rates of1.13–1.41m3min−1.PM2.5samples were collected on 20.3cm×25.4cm Whatman quartz microﬁberﬁlters.Theﬁlters were pre-heated before sampling at900◦C for3h.A balance for hi-volﬁlters(Sartorius,analytic)with accuracy of0.1mg was used to weigh theﬁlter paper which was conditioned in an electronic desiccator before and after sample collection for 24h.After collection,loadedﬁlters were stored in a refrigerator at about4◦C before chemical analysis to limit the evaporation of volatile components.Field blankﬁlters were also collected to indicate the artifacts collected onto theﬁlter before/during/after sampling.2.3.Chemical analysisAfter sampling,theﬁlters were conditioned and weighted again to determine the mass concentration of the loaded parti-cles.Theﬁlters were then cut into four portions for individual analysis.Theﬁlters are then analyzed with different analytical methods:(1)atomic absorption spectrophotometer(AAS)for Fig.1.Location of monitoring sites:Hong Kong Polytechnic University Campus[PolyU];Kwun Tong(KT);Hok Tsui(HT).K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–8575Table1Method detection limit(MDL)of selected species determinedAnalytical methods Species MDLTOR OC0.0958␮g m−3 TOR EC0.0958␮g m−3 IC Cl−8.0ng m−3IC NO3− 5.0ng m−3IC SO42−8.0ng m−3IC NH4+8.0ng m−3 AAS Na+15ng m−3 AAS K+15ng m−3ICP–MS Al20ng m−3ICP–MS As 1.0ng m−3 ICP–MS Ca 5.0ng m−3 ICP–MS Cr 1.0ng m−3 ICP–MS Cu 5.0ng m−3 ICP–MS Fe 5.0ng m−3 ICP–MS Mg 3.0ng m−3 ICP–MS Mn 1.0ng m−3 ICP–MS Ni 2.0ng m−3 ICP–MS Pb 1.0ng m−3 ICP–MS Sr 1.0ng m−3 ICP–MS Ti 1.0ng m−3 ICP–MS V 2.0ng m−3 ICP–MS Zn 5.0ng m−3 ICP–MS Ba 3.0ng m−3 ICP–MS Cd0.1ng m−3 ICP–MS Ga 1.0ng m−3 sodium and potassium,(2)inductively coupled plasma–mass spectrometry(ICP–MS)for elements.The sample solutions were measured in triplicates,and quality controls and blanks were inserted at every10samples.The relative standard devi-ations of the measured element concentrations were typically <5%.Precision and bias were<10%.Element concentrations of the procedural blanks were generally<5%of the samples.(3)Ion chromatography(IC)for water-soluble inorganic ions.Uncer-tainties were±6%for Cl−and were±12%for NO3−,SO42−and NH4+.(4)Thermal/optical reﬂectance(TOR)method for organic carbon(OC)and elemental carbon(EC).The differ-ence determined from replicate analyses was smaller than5% for TC(total carbon),and10%for OC and EC.Method detec-tion limit(MDL)of each species was shown in Table1.The chemical analyses were carried out by the Air Laboratory of PolyU(OC/EC and elements),Department of Chemical Engi-neering of Hong Kong University of Science and Technology (water-soluble ions),and Department of Chemistry of The Chi-nese University of Hong Kong(heavy metals).2.4.Receptor modelsEnrichment factor analysis and multivariate techniques such as correlations,absolute principal component analyses(APCA), and cluster analysis(CA)were used to deﬁne a relationship between the sources and the receptor.These analytical methods were combined to assist the identiﬁcation of sources and the apportionment of the observed pollutant concentrations to those sources in the urban area of Hong Kong.3.Results and discussionTo maximize the source-identiﬁcation power of factor analy-sis,only25species were selected(after eliminating species with missing data or below detection limit).In general,one should exclude those elements from the analyses with many missing values due to poor detectability,but this must be balanced by including as many elements as possible to increase the degrees of freedom for tuning the model[12].The25species are OC, EC,Cl−,NO3−,SO42−,NH4+,Na+,K+,Al,As,Ca,Cr,Cu,Fe, Mg,Mn,Ni,Pb,Sr,Ti,V,Zn,Ba,Cd and Ga.Median values were substituted for missing data.Values below detection limit (limit of detection)will be replaced by half of the minimum value reported.The average concentrations and standard devia-tions of the selected species were shown in Table2.Generally speaking,the concentrations of metal levels determined in this study(both sites)were lower than other major cities in China (Table3).3.1.Correlations of selected species in PM2.5Correlations of selected species in PM2.5at PolyU and KT stations were determined by regression analysis.Their correla-tion coefﬁcients(r)are shown in Tables4and5,respectively. Nitrate(NO3−),sulfate(SO42−)and ammonium(NH4+)are secondary pollutants,and arise from the oxidation of anthro-pogenic gases(NO X,SO2and NH3,respectively).Correlation coefﬁcients among NO3−,SO42−and NH4+in both stations were from0.71to0.91(**P<0.01).Ammonium nitrate and ammonium sulfate are the possible compounds in theﬁne aerosols due to the secondary formation from anthropogenic origin.Good correlations(r=0.52–0.97,**P<0.01)were also observed among the marking species for the crustal matter(Al, Ca,Fe,Mg and Ti)at both stations(especially in KT)even in ﬁne particles.It implies that they should come from the same sources.At PolyU,the major sources of crustal elements came from paved road dust and they mainly appeared in the large particles(TSP or PM10).Therefore,the correlation coefﬁcients among the crustal elements were lower relative to the KT site, where the major sources of crustal elements were due to re-suspension and transportation ofﬁne crustal matter.Some heavy metals,such as Cr and Cu were also observed to have good cor-relations with crustal elements in KT.At PolyU,the major emission sources of carbonaceous species came from vehicular exhaust and fuel evaporation.A fairly good correlation was observed between OC and EC (r=0.42)because gasoline vehicle exhaust and fuel evaporation were the major sources of OC,however,diesel vehicle exhaust was the major source of EC.At KT,the correlation of OC and EC was slightly higher with r=0.65(**P<0.01).From previ-ous studies[4,7,16,17],heavy metal could be used as marker species.The correlation coefﬁcients between Ni and V are0.52 (**P<0.01)in PolyU and0.68(**P<0.01)in KT.It is a clear indication for combustion of oil in previous studies[16,18].Also Pb and Cd are well correlated(r=0.61,**P<0.01)at PolyU site as they mainly came from the trafﬁc sources.However,poor correlation(r=0.24)was observed at KT because Cd might76K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–85Table2Average concentrations and standard deviations of selected species at PolyU and KT stationsPolyU(ng/m3)Mean(n=30)S.D.KT(ng/m3)Mean(n=29)S.D.41.73a12.63a43.93a21.08a OC8655.142519.25OC7946.023353.40 EC5971.61946.34EC4734.13870.78 Cl−195.90276.89Cl−310.87510.50 NO3−1198.781185.93NO3−1459.721369.51 SO42−8096.915914.97SO42−10042.436205.26 Na+493.72260.62Na+937.66987.72 NH4+1884.631443.19NH4+1779.441090.25 K+564.40669.69K+649.02580.24 Al119.4092.98Al226.84281.50 As 2.65 2.73As 3.01 3.49 Ca349.36227.10Ca531.25572.11 Cr 1.57 1.39Cr 2.76 3.31 Cu17.04 6.91Cu28.6417.56 Fe191.41101.95Fe325.33393.12 Mg91.1458.01Mg156.54181.36 Mn10.91 6.73Mn22.5516.02 Ni8.05 4.46Ni7.98 5.57 Pb42.7940.18Pb56.7251.88 Sr 3.39 2.79Sr 2.28 1.29 Ti 1.93 2.59Ti 6.3710.51 V7.29 5.38V 6.12 5.58 Zn166.95179.04Zn230.23313.33 Ba22.3324.70Ba35.2945.24 Cd0.970.46Cd 1.470.77 Ga 2.60 4.19Ga 4.80 6.73 a Mass(␮g/m3).come from other industrial activities also[19].As is a tracer for coal combustion and Zn is a good marker for tire wear and non-ferrous smelters.It implies that the combination of carbona-ceous compounds(OC and EC)with inorganic species would give more detail information.3.2.Enrichment factor of elements PM2.5Enrichment factors(EF)of trace elements in PM2.5relative to the earth’s crust were calculated to indicate the extent of contribution of sources other than natural crust to the ambient elemental levels[20,22].In this study,Fe was used as reference, and the compositions of the earth’s crust were taken from Mason and Moore(1982)[21].Trace elements EFs include some degree of uncertainty related to the natural variations of the earth crustal composition.For this reason,it is usually assumed that the EFs should be more than an order of magnitude higher than unity to suggest an anthropic origin[22,23].Results given in Table6showed that Al,Ti,Mg,Ca and K have small enrichment factors since they are mostly crustal. However,Cd is the most enriched elements in PM2.5,(aver-age=1794and1624,at PolyU and KT,respectively)followed by Pb,Zn,As and Cu.For these elements non-crustal sources such as vehicular exhaust and industrial emission may be sug-gested.Nevertheless,enrichment of crustal components inﬁne particles can also occur as a result of their transport to some distance before being removed from the atmosphere by depo-sition processes[10].Mn,Cr and Sr showed low EF which suggested that these crustal sources also predominate in PM2.5. For these elements,natural emissions are very important and normally exceed anthropogenic sources.Lower EF values with increasing particle size have been reported for Cd,Pb,Zn and Ni [24–26].On the other hand,Eleftheriadis and Colbeck(2001), found increasing EFs with size for coarse V,Cu and Cr with highest enrichment at around10␮m and at the very large sizes [27].3.3.Principal component analysis(PCA)/absoluteprincipal component analysis(APCA)of selected species in PM2.5PCA has been used generally as an exploratory tool to iden-tify the major sources of aerosol emissions and to statistically select independent source tracers[16].Result of varimax rotated factor analysis carried out on various selected ambient air com-ponents at PolyU and KT and the corresponding possible sources are depicted in Tables7and8,respectively.Six factors at each site were isolated based on the following criteria.Firstly,the number of factors were selected such that the cumulative per-centage variance explained by all the chosen factors is more than80%.Secondly,only the factors with eigenvalue more than one were chosen.Since higher factor loading of particular ele-ments(marker elements)in a factor can help identify the possible sources[28],the number of factors selected(sources identiﬁed) should represent the sources which are relevant in the receptor domain[29].80K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–85Table6Enrichment factors of major elements and heavy metals at three sampling sites Species PolyU KTAl0.2680.293 Ca 2.129 1.905 Ti0.1180.228 Mg 1.253 1.266 K 1.609 1.102 Na 6.580 4.579 Zn429.597332.283 As338.189205.280 Cr0.8880.813 Cu124.656123.236 Mn 3.324 4.044 Ni73.59944.624 Pb391.229305.096 Sr 1.7100.702 V22.22310.978 Ba13.23712.938 Cd1793.8811324.261 Ga27.43929.185 At PolyU,six factors were determined,summing80%of the total variance in theﬁne particle data set.Factor1explains21.9% of the variance and presented high loading for Al,Ca,Fe,Mg and Ti;thus it can be interpreted as crustal contribution.This can be proved by the low enrichment factors(EF)of these ele-ments.A signiﬁcant amount of road dust is present near PolyU and is also kept in suspension by vehicular movement.OC,Pb, Zn and Cr were observed in paved road dust proﬁles of PolyU [30]which have moderate to minor loading in factor1.Hence, this factor can be identiﬁed as the road dust component.Fac-tor2explains18.5%of the variance and contains high loading of K+,As,Pb and Cd.These elements are used as markers for non-ferrous metal smelter and automobile emission[4,5,12]. Moderate loading of OC,NO3−,SO42−and NH4+were also observed in factor2.They are secondary aerosols and the by-products of combustion.Hence,this factor can be identiﬁed as automobile emission plus secondary aerosol.Factor3is heavily loaded with Zn,Sr and Ga with percentage variance of13.5.Har-rison et al.(1996)and Manoli et al.(2002)used Zn as the marker for tire wear[7,16].Incineration is also the possible source for Zn[31].However,there are no signiﬁcant sources for incinera-tion around PolyU.Therefore,this factor can be determined as tire wear.Factor4explains9.3%of the variance and was highly loaded with V and Ni.The correlation coefﬁcient between Ni and V is high(see previous section).As discussed before,V and Ni are marker species for oil combustion[16,18].Thus,fac-tor4is identiﬁed as oil combustion source.Factor5has a high factor loading for OC,EC and Cu with percentage variance of 9.1.It is obvious that OC and EC come from vehicular exhaust (especially at PolyU site).Also diesel engines are the source of Cu[7].This factor was interpreted as representing emissions from diesel vehicles.Finally,high to moderate loading for Cl−, NO3−,SO42−with percentage variance of7.6which indicated the presence of secondary or transportation aerosols in factor6.Six factors were also obtained at KT station with eigenval-ues>1,explaining90.9%of the total variance.Basically the sixTable7The results of principal component analysis for selected species in PM2.5at PolyU stations(varimax with Kaiser normalization)Pollutants Factor1Factor2Factor3Factor4Factor5Factor6Communality OC0.1290.3110.1400.0990.8230.0570.824EC−0.412−0.0790.092−0.0770.6660.1840.668Cl−0.025−0.0950.0760.023−0.0700.9240.875NO3−0.1740.5870.1990.3970.1140.5610.900SO42−0.2640.5260.3480.2210.1340.5990.893Na+0.6850.1030.4500.346−0.021−0.0790.809NH4+0.5090.6240.1590.3860.0030.1600.849K+0.4380.7140.1910.3200.2490.0680.907Al0.8330.1740.368−0.1320.0820.0990.893As0.2440.7430.114−0.0140.3770.0610.771Ca0.6840.0510.055−0.065−0.0890.0240.486Cr0.5700.514−0.2320.300−0.111−0.0810.751Cu0.1500.172−0.004−0.1240.755−0.2050.680Fe0.8020.2310.0670.3010.097−0.0560.803Mg0.8710.066−0.033−0.2240.1410.2580.901Mn0.588−0.5210.046−0.0360.4180.0600.799Ni0.200−0.247−0.082−0.8710.041−0.0520.871Pb0.2960.7600.2550.3270.2580.1500.926Sr0.1790.2930.8070.054−0.0800.2080.821Ti0.8310.416−0.1020.1160.0130.0640.892V−0.2070.061−0.286−0.6890.087−0.1080.622Zn0.2280.3580.7970.1020.0900.2370.891Ba−0.1000.0090.6100.2420.110−0.0110.453Cd−0.0210.8680.203−0.2150.022−0.1850.875Ga0.0370.0270.9090.0200.099−0.0190.839%of variance21.91618.53913.4519.3409.1077.648Cumulative%21.91640.45553.90663.24672.35280.000K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–8581 Table8The results of principal component analysis for selected species in PM2.5at KT stations(varimax with Kaiser normalization)Pollutants Factor1Factor2Factor3Factor4Factor5Factor6Communality OC0.1400.8600.1970.1840.2980.0690.925EC0.0470.3100.2160.0540.7110.1030.664Cl−0.9430.168−0.072−0.0900.083−0.0810.944NO3−0.6110.631−0.093−0.1910.279−0.0470.896SO42−0.2830.790−0.097−0.2040.4160.0720.932Na+0.9520.137−0.066−0.0020.009−0.0520.932NH4+0.1000.931−0.027−0.1610.2440.0360.963K+0.2630.9060.118−0.1880.121−0.0700.959Al0.9120.2730.1520.1080.037−0.1620.969As0.1510.8910.2050.145−0.1210.1480.917Ca0.9090.0580.1530.0560.0750.3160.963Cr0.6810.4120.061−0.131−0.0030.5150.919Cu0.8550.1820.2200.0430.2150.2420.919Fe0.8640.1670.2890.0150.0260.3580.986Mg0.9700.0730.0280.136−0.0030.0900.973Mn0.462−0.1900.7380.302−0.1310.1010.912Ni0.309−0.134−0.0710.824−0.1600.0900.832Pb0.1640.7220.534−0.0020.1860.2830.948Sr0.2800.1400.1600.1370.0300.8960.947Ti0.9380.1450.2140.038−0.0330.1920.986V−0.043−0.181−0.2530.8320.0840.2360.853Zn0.1190.3190.808−0.1440.2340.1160.858Ba0.0800.2300.118−0.1400.867−0.0590.847Cd−0.1070.1660.3140.752−0.073−0.2090.751Ga0.0640.2040.775−0.1250.5090.0300.922%of variance32.98022.28310.7539.4488.604 6.807Cumulative%32.98055.26466.01775.46484.06890.875Extraction method:principal component analysis.Rotation method:varimax with Kaiser normalization.factors are very similar to that obtained at PolyU;but in each factor it may contain more than one source.Factor1explains 33.0%of the variance which represented crustal matter and some secondary aerosols(NO3−and SO42−).Hence,this factor can be identiﬁed as the crustal matter component plus secondary aerosols.Factor2explains22.3%of the variance and contains high loading of K+,As,Pb and Cd,which are markers for auto-mobile emission and non-ferrous metal smelter.Moreover,high loading of OC,NO3−,SO42−and NH4+was also observed in factor2.Other than combustion,this source type could be the result of the continuous oxidation of primary pollutants(VOCs, SO2,NO X and NH3)taking place during atmospheric transport. Hence,this factor can be identiﬁed as automobile emission plus secondary aerosols.Factors3and4explain10.8and9.4%of the variance,respectively.As in PolyU,factor3is identiﬁed as tire wear,while factor4for oil combustion source.Factor 5has a high factor loading for EC and Ba with percentage variance of9.1%.This factor was identiﬁed as emissions from diesel vehicles.Finally,the last factor explains6.8%of the vari-ance and contains high to moderate loading of crustal elements (Sr,Ca and Fe)and heavy metals(Cr,Cu,Pb and V).This factor was interpreted as emissions from several metallurgical activities along with crustal matter occurring in the industrial area.APCA can provide a quantitative elemental source proﬁle, instead of just a qualitative factor-loading matrix as in PCA. Using the grouping results of PCA in the previous section,source contributions were then calculated using multiple regression of particle mass concentration on absolute principal component scores(APCS).Regressing the gravimetric data on these APCS can give estimates of the coefﬁcients that convert the APCS into mass contributions from each source for each sample.For each source identiﬁed by the APCA,the weighted regression of each element’s concentration on the predicted mass contri-butions yields estimates of the content of that element in each source.Tables9and10present the APCA source apportionment of PM2.5in PolyU and KT given in the original concentration units(ng/m3),respectively.The estimated quantitative source apportionments for PM2.5are shown in Figs.2and3,respec-tively.Diesel emission is responsible for the most of the PM2.5 mass at PolyU station(about47%);and automobile emission plus non-ferrous metal smelter also composed about15%of the PM2.5fraction.Secondary aerosols are the second most impor-tant factor(about18%)at PolyU.Crustal matter also dominates the PM2.5fraction(about6%at PolyU).However,at KT,some factor represents more than one source.For example,automobile emission plus non-ferrous metal smelter mixed with secondary aerosols,which composed about44%of the total PM2.5mass. Secondary aerosols formed during transportation were due to the primary emission of SO2and NO X from vehicular emis-sion.About30%of PM2.5was also calculated as crustal matter and secondary aerosols.Diesel emission contributed14%of the total PM2.5mass.The large unexplained fractions in PolyU and KT maybe ascribed to the water uptake in the quartzﬁlters[32]82K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–85Table9The Results of APCA estimated concentration for selected species in PM2.5at PolyU stationsFactor concentrations(ng/m3)Pollutants Factor1Factor2Factor3Factor4Factor5Factor6Sum of estimatedcontributions APCA estimatedOC0.00.00.00.010749.70.09485.8EC0.00.0 4.10.03557.6387.62555.6Cl−0.00.00.0 3.70.0560.6135.4NO3−0.0926.10.00.0151.01143.31234.5SO42−0.03804.3343.622.480.56175.29283.3Na+326.50.0223.00.00.00.0101.5NH4+615.21238.00.00.00.091.1783.6K+124.3705.90.00.0482.20.01076.3Al145.60.065.2 3.00.00.4162.6As0.0 4.40.00.1 3.30.0 6.5Ca331.00.014.1 3.60.00.096.1Cr 1.2 1.30.00.00.00.0−0.5Cu0.90.00.00.07.50.023.5Fe150.60.00.00.036.20.086.7Mg104.30.00.0 2.116.631.1112.2Mn10.90.00.30.018.10.614.4Ni 3.80.7 1.60.40.00.8 5.9Pb0.049.40.00.028.00.766.2Sr0.00.7 4.90.10.00.3 2.0Ti 3.7 1.20.00.00.00.0 2.2V0.0 6.60.00.40.40.5 4.8Zn0.036.4286.2 2.80.023.4259.6Ba0.00.034.70.010.70.012.3Cd0.0 1.30.20.00.00.00.4Ga0.00.09.40.10.00.0 4.7Table10The results of APCA estimated concentration for selected species in PM2.5at KT stationsFactor concentrations(ng/m3)Pollutants Factor1Factor2Factor3Factor4Factor5Factor6Sum of estimatedcontributions APCA estimatedOC0.07185.80.01853.1965.00.07788.0EC0.00.00.0316.82696.9177.32239.7Cl−919.90.00.00.0129.10.0275.3NO3−1189.31457.40.00.0749.00.01643.3SO42−110.09201.30.00.06353.7706.810287.4Na+1754.10.00.00.00.00.0530.5NH4+0.02700.90.00.00.00.01460.2K+0.01449.821.10.00.00.0544.5Al461.769.163.960.60.00.0271.3As0.010.80.9 1.00.00.4 4.1Ca692.30.00.00.0173.0294.2635.8Cr 1.2 1.90.00.00.0 4.4 2.9Cu19.40.0 1.10.413.3 4.526.8Fe373.60.0139.50.00.0235.2410.4Mg292.50.00.029.1 6.20.0164.9Mn8.30.033.0 4.20.00.010.2Ni 2.20.80.07.80.50.08.5Pb0.078.450.70.40.025.588.7Sr0.00.00.00.00.1 3.5 1.9Ti13.90.0 3.00.00.00.48.3V0.00.00.08.59.0 3.911.6Zn0.00.0630.70.00.00.0314.7Ba 6.10.00.0 5.2178.90.0105.1Cd0.00.90.7 1.10.00.0 1.2Ga0.00.012.00.09.90.010.7K.F.Ho et al./Journal of Hazardous Materials B138(2006)73–8583Fig.2.Estimated source contribution to PM2.5at PolyU.and some sources that have not been identiﬁed in the analysis. This is reasonable because of the large surface area and mois-ture absorption property of20.3cm×25.4cm Whatman quartz microﬁberﬁlters were used in this study[32].This unexplained fractions were also observed in the mass closure analysis at both stations.3.4.Cluster analysis of selected species in PM2.5In order to achieve a greater conﬁdence in theﬁnal clas-siﬁcation,cluster analysis was used for comparison purpose. Resulting dendograms(obtained through Ward’s method) are observed in Figs.4and5,for the PolyU and KTsites,Fig.3.Estimated source contribution to PM2.5at KT. respectively,as obtained using SPSS8.0software.The results of cluster analysis in both sites agree with those of PCA.At PolyU site,there is a clear grouping of the elements K+,Pb,NH4+, As,NO3−,SO42−and Cd which are commonly associated with non-ferrous metal smelter and gasoline emission.NH4+,NO3−, and SO42−are also the major secondary aerosol components in the atmosphere.The clusters are similar to the factors2and6of PCA result at PolyU.Moreover,the elements Sr,Zn,Ga,Ba and Cl−also form a group,suggesting a tire wear or incineration origin(like factor3in PCA).On the other hand,a cluster typically identiﬁed as crustal matter is formed by Fe,Ti,Cr,Na, Al,Mg,Ca and Mn.These elements are associated with pave road dust(like factor1in PCA).In addition,Ni and V forma Fig.4.Cluster analysis of selected species in PM2.5of PolyU station.。

at NLR

Component based software development at NLRAssembling aerospace applicationsE. Kesseler and E.H. BaalbergenNLR-TP-99142Component based software developmentat NLRAssembling aerospace applicationsE. Kesseler and E.H. BaalbergenThis report is based on a presen tation held at the Euroforum SoftwareCon gress "Compon en t based developmen t", Utrecht, The Netherlan ds, December 15, 1998.The contents of this report may be cited on condition that full credit is given to NLR and the authors.Division:In formation an d Commun ication Techn ology Issued:March 1999Classification of title:unclassifiedContents1Introduction42Case 1: SPINEware52.1Description of SPINEware52.2Why components based development62.3Approach72.4Experiences83Case 2: Safety critical embedded software93.1Application description93.2Air transport safety requirements103.3Safety classification103.4Verificati 113.5Experience123.6Case conclusions14 4Conclusions15 References16(16 pages in total)Abbreviations! !" ! # ! "# "$%" &$ % !"' " '" "ISNaS Information System for Navier-Stokes Equations ( ( )' ! ' )* * !"$ " ! $+ +!, ,% %1Introduction! ! # # - # ! - ! ! !! # !! & & - . # ) / 0 - - ! ! - & ! ! - # ! # & 0 ! / ) # ! # ! 0 & ) . ! - ) ) ! # ! -*$ ) 0 # / ! # - ! ! # ) -*$ / & ) # # # - ! !! # 0 . ! ) ! ! # ) -! # # # - ! ) ) !1 2"*3# 4- & ! # ! ! ! ! -" ! ! - . ! # )2Case 1: SPINEware! 2"*3# 0 ! ) ! # ) ! # 5 067789- ! 2"*3# -* . ) ) ! ) ! - # ) ! 2"*3# - # ! . # ! -2.1Description of SPINEware2"*3# ! ! # ! ! # - ) # ) 0 # # ! & - ) 1 ! # ) 4 ) ! # - ! 2"*3# & # ) 0# ) ! : :0 - # ! # 0 ! 0 ! ! ) ! - 2"*3# # ! ! # ! 0# ! - ! 2"*3# & ) # 0 ) ! & & ) ! # -! ) # # ) ! # 0# ! " * 5, 90 ) ! ! ! 1 4- ) ! 2"*3# 677; * $ *$ : 2"*3:- 2"*3# ! ) 677< *$ ( ! *3 0# 2"*3# ) ! # . # - ! ) ! 2"*3# 0) ;-=0# *3 67780 ) ! %*"># -* # 0 . ) ;-= ) !) ?-=0# !677@- ) ! %*"> # A # 17B'78'* 42 -2.2Why components based development) . ) ) ! ) ! 2"*3# ) ?-=-" 0 ! ) -0 ) 0 ) ! . - ) ! ) ?-= ! 0 ) ! ! - & & ! ! 2"*3# ! - 0!0 # ! . -" # !! ) ! ! -C 0 # & . 0 0 !!& & ! ! # 0 # & 0 1 &! 4 # : # : ! # -) ! ! # -2 ) ! ! ) 0 ! # ! ) 0 ! ! ) - 0 2"*3# & # ) -3. D# ! # E! . ! # E! ! # -" ! & ! -) ! ) ! 2"*3# ) ?-= ! : ) & & : ) - 0 . # 0 ) ! 0# # & ! ! - ) ! ) ! 0 # ! ) - 0 0 ) ! ! ! -0 ! 2"*3# ) ?-= & ) ) ! - 0 ! 0 0 0 0 -! 1 4 ! ! - ! 1 - -0 4 ! 2"*3# & # ) ) ) & 0 # # 0 & & 0 & # 0 ! ) ! - & ) ! ! # 0 ! ) ! ! -2.3Approach) 0 2"*3# ) ?-= 0 & 0 -" ! ! # D) / 0 1! & 40 1 40A # 1 0# ! # 0 ) ) # 402 140 1 ! 4E1 40 ! 1 - -0 !! 4 ! 0 ) ! E " ! $ 1 "$40 ! F ) # & E% 1% 40 ) ! 0 0 ! # ) -AOM, OIL, US, and each application object is implemented as a separate component. A component may be further subdivided into software items, mainly for being able to re-use existing software, to replace a piece of software, or just to divide-and-conquer.! ! ! 0 1 4 ! + 1 +4 5 +0677B9- + ! 0 ) 0 ! # ) 0 0 ! & ! # ) - ) ! # ! - ) ! 2"*3# ) ?-= # ) D& ) ! ! ! !! # - 0 ! & & 0 !0 # & ! # ! # !! E& ! 0 ! .- 2"*3# 0 "$%1" &$ % ! 4! > .5> 0677@9- #! / ! ! !! -! ! # ! - 0# ! # ! %*"> A # ! 0 ! # %*"> # A # # ! # -" ! 0 !0! . 0A # # : : . & # ! # -! . ! # 0 - . 0 % . & ! ! 0 ' - ! !0! . 0 A & # 0 ( ) & ! ! 0 % A # ( ) -2.4Experiences) ! 2"*3# ) ?-= ! 0 ;-; ;-?- & ) : & : : ) & & :0 ) 0 ) ) ! 2"*3# ) ?-=0 #1 0 0 & & 4-A : ) & & : 0 ! !0 E !! . . ) - : & : - ! & ! # # ! 0 0 0 1 4 - ! & ! # 0 # ) 0 ) -"0 ! # ) ) 0 . !! # -" ! ! 0 0 ) ! 0 . ! # -3Case 2: Safety critical embedded software! ! # - ! ) 0! # ! !! ! ! ! - ! ) ! *$ / . ) 0 # ) - # -3.1Application description! ! 1 ) 4 0 !0 ! # ! ) ! - # ! ! ! -" 0 0 ! # # ! - , 1, 4 " 1" 4-% ! ! ! 0 ! ! ! - ! ) ! -6== !! !0 ! 6= !! - # ! # - # ?= # !;= ! - . ! ! ! # B=G # ! - "' !?<= - ) # ) ! ) -! ! ! / ! # !0 ) ! - ! !0 ! # ) ! # D& D ! E& D ) ! E& D # # ) #E& D # # )E ) ! 0! ) & -5H 0 67789 ! -3.2Air transport safety requirements! ! # 5 &6@8 9 ) - ! ) ! # ) ! -% ! ! # # ) -" ) ) 0 ! 0 ! ! ! - ! # # ! ! -5 &6@8 9 ) # # : ) ! :! # # # ! ) 0# ! - ! ) # *$ / ! ) -! ! # # ! # ! 0 ! ! # & ! - ! 0! . 0 ! # ! ! ! - ! ! ! & ! ! ! # # 0 *$ / . # -3.3Safety classification! ! ! # ! 0 ! # ! B ) - ! ! 1 - - 4 # '( ) 5 '( &;B9 -$ ) D !# # ) ! ! -5 '( &;B9 . 0 ! I6.6=$ ) D C J ' ) & !# # ! ! ! # # ) . # D& ! ! E& # ! # ! E& ) !! !! -5 '( &;B9 . 06.6= I J ! I6.6=$ ) D !# # ! ! ! # # ) . # 0! . 0& ! ! ! E& ! ## # !! E& ! 0 -5 '( &;B9 06.6= I ! I6.6=$ ) D !# # ! ! ! # # ) ) # # # - ! ! . 0& ! ! E& ## 0 0 !) -5 '( &;B9 0 ! K6.6=$ ) 3D* 3!!# !! ! ! ##-3.4Verificati" ) ) # . ! . 05 &6@8 9 # ) ! # ! -" ! - ! # ) ) ! -3 ! # ) 0) ! - ! ) # . ! # ) -, ! ! 5 &6@8 9 : ) ! ! # :-, ! ) #0 0 ! ) -) # ) ) ! -. ! ! # -" -3) ) !0 !# 5 &6@8 9- ! # ! ! ! # -3) ! # ) ! ! -: ! . ) ! ! ! :- ! ! ) ! # ! ! ) ! ! - ! # ! 5 &6@8 9 ) 0 6==G ) - ) !D& ) 1 ) . 4E& ) 1 ) . ! ! 4 E& ! ' ) 1 ' 4- ' ! )0 !! ! -3.5Experience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ase conclusions! ) ! ! ! # ! 0 - ! ! # ) & ) ! *$ - 0 ! ! ! -) . ) ! ! ! # ) -4Conclusions) ) ! # ) 0 0 ! & & 0 ) 1 - - ! ! 4-" ) ! ! ! # ) -2"*3# 0 ! 0 # ! # ) 1 0 0 & & 4- ) & & 0 !! . . ! ) - & - ! & ! # # ! 0 0 0 1 4 - ! & ! # 0 # ) 0 ! # -" 0 ! # ) ) . !! -! ! # 0 ) 0 ! 0 - ! ! # ) & ) ! ! ! # *$ - 0 ! ! ! # ) ! -Safety critical embedded software is expensive and time consuming to produce. Consequently there are huge commercial incentives to extend current component based development methods for this type of applicationReferences5 067789 0-C &2 ! * # 3 67780 0* 0 6778-3-C-5 &6@8 0677;9 5"333067789 ! 0(- 0 - A 0(-, 0 -H5C 067789" # $ % 0K. J. Hayhurst[JAR/FAR-25]Federal Requirements/Joint Aviation Requirements[Kess, Slui, 1998] Reliability, maintainability and safety applied to a real world avionics application,E. Kesseler, E. van de Sluis NLR TP-980375 +0677B9 + 0& ' ( ) * # ) ! +,-0( 677B-5, 9 !0 -H 1 -40* C 0" *= LLL88=87B- -3- -, 0A-$ )5> 0677@9 ./+,- 0+) 1 0> . 0* ) 677@-。

第十册定额内容

ǋ çȒ˷v Ϊ? ̟ H? t?ʭȣ?D @ђ၏/Ρȉt "Ź๮ ၏_V ၏ ÅP ÅP ˫ ŝ౧ P॒ȏ ၏ /Ӑ၏Ρȉ /0 "ҺȬܞ "ȉ ଄ŝ ҧ PP Ꮔ Ʈˍ ౧ΧѤ h[ 0 hę࣋ä NJ J Ʈˍ ደtĉ " W" ᏄȒ˷v Ϊ? ̟ H? t?ʭȣ?D @t "ÅP˫G ༆ᇔ ၏@ǆ ᇏW ූ / ᇏW ූ-Ρȉ /0 "ȉ ଄ ඝNJ ŝ ҧ P P N:gK Ꮔ Ʈ ˍ[ 0 h ę೜P 0 h ޻ ඥ P J Ʈˍ ደtĉ " W" Ꮔ೜w @p 36ඥ ) ၚ &Ȓ˷v Ϊ? ̟ H? t?ʭȣ?D @၏/Ρȉt "@Č Қ˷ täහ֧၏ ၏#Ρȉ /0 "ȉ ଄ / Ź๮ ŝ ҧ P P Ꮔ Ʈˍ h h[ 0 hę $ P J Ʈˍደtĉ " ೜w @ඥ ) ၚ &Ȓ˷v Ϊ? ̟ H? t?ʭȣ?D @၏/Ρȉ t "@ ˣ PΡȉ /0 "ȉ ଄ ŝ ҧ P P Ꮔ Ʈ ˍ J Ʈˍደtĉ " ೜w @ ඥ ) ၚ &_ VȒ˷v Ϊ? bȚ ? t?ʭȣ?D @t "_V၏_V İ Ρ౧౧ҵΡȉ /0 "ȉ ଄ ඝ NJ ŝ ҧ P P Z ᇗ $౧P Ꮔ Ʈ ˍ ౧ΧѤ h [ 0 h ೜P 0 h ঠ. ޻ J Ʈˍ æ _V၏Ȓ˷v Ϊ? bȚ ? t?ʭȣ?D @t "_Vၘ׹- _V ---Ρȉ /0 "Ū * ҧ P ȉ ଄ŝ ҧ P P Ꮔ Ʈˍ ౧ΧѤ h [ 0 h ঠ. ޻ J ƮˍWİ _" PLQ W" Ꮔ æ _V၏೜wǞ ऋி_ ঠ W" Ꮔ pඥ ) ၚ &Ȓ˷v Ϊ? bȚ ? t?ʭȣ?D @t "޻Č_V຺ خ_၏_V ˫_V ÅP G " _V ຺ ຺ę _VΡȉ /0 "ȉ ଄ ŝ ҧ P P Z ᇗ $౧ P Ꮔ Ʈˍ ౧ΧѤ h [ 0 hę೜P 0 h ঠ."̵t "޻Č_V຺ خ_၏_V ˫_V ÅP G " _V ຺ ຺ę _V޻ J Ʈˍ Wİ _" PLQ W" Ꮔ æ _V၏ ೜wǞ ऋி_ ঠ$̒၏ 30 W" Ꮔp 36 p_V % ඥ ) ၚ &_ ऋ/_ ऋ/Ȓ˷v Ϊ? b H? t˿ t?D @၏/Ρȉt "/ӐᆼѤऋ/၏ ᖱᆾऋ/၏G ऋ-ç/ Ī-- ҵ -Ρȉ /0 "Ū * ҧ P ȉ ଄ ඝ NJ ŝ ҧ P P Ꮔ Ʈ ˍ ę߳$ ¥ NJ ࣋äNJ"̵၏/Ρȉ t "/ӐᆼѤऋ/၏ᖱᆾऋ/၏G ऋ-ç/ Ī --ҵ -޻ ඥ P ""ඥ %9 P ޻ J Ʈˍ Wİ _" PLQ " Ꮔ ' $̒ 1) $ W" Ꮔp _ 3=p ħ ၏p 36pG %0 0¡ ඥ ) ၚ &t "ऋ/၏ $ ऋ/၏ेᆾऋ/၏ $ेᆾऋ/၏˷ Ѩ ऋ/၏ ந ļ_ ʍ࣋ऋ/၏Ρȉ /0 "ȉ ଄ ඝNJ ŝ ҧ PP Ꮔ Ʈ ˍ ߳$ ¥ NJ ࣋äNJ ޻ ඥ P J Ʈˍ " Ꮔ ' ೜wǞ ऋி_ ঠ $̒၏ 30$̒ 1) $ p _ 3= p 36pG %0 0¡ ඥ ) ၚ &Ȓ˷v Ϊ? b H? t˿ t?D @၏/Ρȉ t "ݯཟ ऋ/၏ेᆾ ऋ/၏ $ेᆾ ऋ/၏̒/ ऋ/၏ ¶౧ऋ/၏ ந ļ-౧ऋ/၏Ρȉ /0 "ȉ ଄ ඝNJ ŝ ҧ P P Ꮔ Ʈ ˍ ߳$ ¥ NJ ࣋ä NJ ޻ ඥ P ""ඥ %9 P ޻ J Ʈˍ" Ꮔ '$̒၏ 30 $̒ 1) $ p _ 3= p 36pG %0 0¡ඥ ) ၚ &t "*/ऋ/၏ $*/ऋ/၏ */ऋ/၏ v ऋ/၏ᄇ ऋ/၏ + $ऋ/၏Ρȉ /0 "ȉ ଄ ඝNJ ŝ ҧ P P Ꮔ Ʈ ˍ೜P 0 h ߳$ ¥ NJ ࣋äNJ ޻ ඥ P ""ඥ %9 P ޻ J Ʈˍ" Ꮔ ' W" Ꮔ ೜wǞ ऋி_ ঠ p _ 3= p 36 pG %0 0¡ ඥ ) ၚ &Ȓ˷v Ϊ? b H? t˿ t?D @၏/Ρȉ t "_޻ऋ/ ˫ҵ ၘ׹- -Ρȉ /0 "Ū * ҧ P ȉ ଄ŝ ҧ PP Ꮔ Ʈˍ ೜P 0 h ߳$ ¥NJ ޻ J ƮˍWİ _" PLQ " Ꮔ 'O _ 3$6+(1 W" Ꮔ æ _V၏೜wǞ ऋி_ ঠ W" Ꮔ p _ 3=p 36pG %0 0¡ ඥ ) ၚ &Ȓ˷v Ϊ ƚ? t? ȏѥ ? ǲ)Fǹ; Ϊ?; t?D @၏/Ρȉt "༐ऋ ූ ౧ؖ'1PPΡȉ /0 "ȉ ଄ ඝ NJ ߳$ ¥NJ ߳$ Ƒ_¥ NJ ࣋ä NJ J Ʈˍ࣋ǅ Ʋ/ W ᇇ/࣋ǅ WȒ˷v Ϊ ƚ? t? ȏѥ ? ǲ)Fǹ; Ϊ?; t?D @၏/Ρȉ t " ༐ऋ ූ ౧ؖ'1PP/౧ '1PPѨΡȉ /0 "ȉ ଄ ඝNJ "" / NJ ߳$ ¥ NJ ࣋ä NJ࣋ǅ Ʋ/ W ᇇ/࣋ǅ WȒ˷v QŽ Ϊ?D̤ ? t? bȚ ?D @၏/Ρȉt ")Ī ౧ ॒ȉ၏౧ PP दѤ॒ȉ x ç/&द Ѥ ॒ȉ၏P PΡȉ /0 "ȉ ଄ ඝNJ ŝ ҧ P P Ꮔ Ʈ ˍ ౧P [ 0 h ೜P 0 h ߳$ ¥NJ ࣋ä NJ ቶ೜NJ ޻ ඥ P J Ʈˍ p _ 3= p 36pG %0 0¡ඥ ) ၚ &Ȓ˷v QŽ Ϊ?D̤ ? t? bȚ ?D @၏/Ρȉ t " द ॒ȉÅP॒ȉ ˫cěȉ၏" ᇰěȉ၏$ ͩ$჎හ॒ȉ၏Ρȉ /0 "ȉ ଄ŝ ҧ P PN:gK Ꮔ Ʈ ˍ೜P 0 h ೜P 0 h ߳$ ¥ NJ ࣋äNJ ޻ ඥ P ""ඥ %9 P J Ʈˍɑ " Ꮔ W" Ꮔ ೜wǞ ऋி_ ঠ p _ 3= p 36 pG %0 0¡ ඥ ) ၚ &Ȓ˷v QŽ Ϊ?D̤ ? t? bȚ ?D @၏/Ρȉt "॒ȉ၏ěȉ၏ ȉ ˫ҵ- -Ρȉ /0 "ȉ ଄ ඝNJ ŝ ҧ P PN:gK Ꮔ Ʈ ˍ ೜P ˥ 0 h ೜P 0 h ೜P 0 h ߳$ ¥ NJ ࣋äNJ ޻ ඥ P ""ඥ %9 P J Ʈˍ ɑ " Ꮔ p _ 3=p 36pG %0 0¡ඥ ) ၚ &Ȓ˷v Ϊ?QŽ t ɪ t? ƚ?̤ ? bȚ @၏/Ρȉ t "༆ # ॒ȉ၏ x P/ ޸çěȉ၏჎හ॒ȉ / ᄇ ěȉ၏ ěȉ ˫Ρȉ /0 "ҺȬܞ " ȉ ଄ ඝ NJ ŝ ҧ PPᏄ Ʈ ˍ౧P ೜P 0 h ߳$ ¥ NJ ࣋äNJ"̵၏/Ρȉt "༆ # ॒ȉ၏ x P/ ޸çěȉ၏჎හ॒ȉ /ᄇ ěȉ၏ ěȉ ˫޻ ඥ P ޻ J Ʈˍ" Ꮔ ' W" Ꮔ æ _V၏ ೜wǞ ऋி_ ঠ p _ 3= p 36pG %0 0¡ ඥ ) ၚ &Ȓ˷v Ϊ?QŽ t ɪ t? ƚ?̤ ? bȚ @၏/Ρȉ t "ěȉ၏ ͩ$ %2"॒ȉ၏ ޻ ॒ȉ၏ G Ѥ॒ȉ၏ v ěȉ၏ ěȉ˫Ρȉ /0 "ȉ ଄ Ɲ ଄ ඝNJ ŝ ҧ P P Ꮔ Ʈ ˍ೜P 0 h ߳$ ¥ NJ ࣋ä NJ ቶ೜NJ ޻ ඥ P "" Ŝ ¥ NJ ঠ. J Ʈˍ " Ꮔ ' ೜wǞ ऋி_ ঠ p _ 3= p 36pG %0 0¡ȏ $ v ěȉ၏ ěȉ၏_ ˫ූΡȉ /0 "Ū * ҧ P ȉ ଄ ඝ NJN:gK Ꮔ Ʈˍ ೜P 0 h ߳$ ¥ NJ ࣋äNJ ޻ ඥ P ঠ. ޻ J Ʈˍ " Ꮔ 'O _ 3$6+(1೜wǞ ऋி_ ঠ p 36pG %0 0¡ඥ ) ၚ &Ȓ˷v t? ƚ? ̤ ? bȚ @၏/Ρȉ t "W $*/ऋ/၏Wpǌȉ )༐ 3,')༐ΡČ p p )༐ $ Ӈ֕pΡȉ /0 "" PҧP Ꮔ Ʈˍ ቶ೜NJ ""ඥ %9P J Ʈˍ ɑ " Ꮔ " Ꮔ ' W" Ꮔ೜w O ౱=;೜wΡ ໔ 4- ೜wǞ ऋி_ ঠ $̒ 1) $p _ 3= p 36$ -ሓ ͩ$ၘ׹-ሓ t ȉ ၏֧ ၘ׹ ݗƝ ΰ ၘ׹ ΡČČW3,')༐Ρȉ /0 "" PҧP Ꮔ Ʈˍ ቶ೜NJ ""ඥ %9P J Ʈˍɑ " Ꮔ " Ꮔ ' W" Ꮔ೜w O ౱=; ೜wǞ ऋி_ ঠ p _ 3= p 36 ඥ ) ၚ &Ȓ˷v t? ƚ? ̤ ? bȚ @၏/Ρȉ t "ȉ ၏֧ ၘ׹ ݗƝ; < ၘ׹ -ሓ Ŝၘ׹ W)༐ ַÅP ᆼސ ූΡȉ /0 "" PҧP Ꮔ Ʈ ˍ ቶ೜ NJ ޻ J Ʈˍ Wİ _" PLQ " Ꮔ ' W" Ꮔ೜w O ౱=;೜wǞ ऋி_ ঠ W" Ꮔp _ 3=p 36ǋ ÅPWΡˍඪ- Ρ ˍȒ˷v Ϊ? ƚ? bȚ ? t?̤ @၏/Ρȉt "_V - - - ȏ- _V - _ -Ρȉ /0 "ҺȬܞ " ȉ ଄ ŝ ҧ P P Ꮔ Ʈ ˍ 8 0 h ę ࣋ä NJ ঠ. ޻"̵၏/Ρȉ t "_V - - - ȏ - _V - _ -J Ʈˍደtĉ " " Ꮔ ' O _ 3$6+(1 O_V W" Ꮔ æ _V၏ ೜wǞ ऋி_ ঠ ೜w @ p _ 3= p 36 p ၏t "Ρ ˨ - ˨ - ग - ˣ s ॒ȉ - ˷ Ѩ ऋ/ - $_V-Ρȉ /0 "ҺȬܞ " ȉ ଄ ŝ ҧ P P Ꮔ Ʈ ˍ 8 0 h೜P˥ փ 0 h ߳$ ¥ NJ ࣋ä NJ ঠ. ޻"̵၏/Ρȉ t "Ρ ˨ - ˨ - ग - ˣ s ॒ȉ - ˷ Ѩ ऋ/ - $_V - J Ʈˍ" Ꮔ ' O _ 3$6+(1 O_V W" Ꮔ æ _V၏ ೜wǞ ऋி_ ঠ µ p_V '3 p _ 3= p 36t " $ _ -दశ॒ȉ -ऋ/ - '1PPदశ˷दశΡȉ /0 "ȉ ଄ŝ ҧ P P Ꮔ Ʈ ˍ 8 0 h೜P˥ փ 0 h ߳$ ¥ NJ ঠ. ޻ J Ʈˍ" Ꮔ 'O _ 3$6+(1 W" Ꮔ æ _V၏೜wǞ ऋி_ ঠµ p_V '3 p _ 3= p 36 ඥ ) ၚ &Ρ ˍȒ˷v QŽ Ϊ? ƚ? Ϊ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉ t " ΡΡ ၘ׹༆Ρ ݗƝΡȉ /0 "Ŝ ŝ ҧ P P Ꮔ Ʈ ˍ J Ʈˍ" Ꮔ ' W" Ꮔ ೜wǞ ऋி_ ঠ p _ 3= p 36Ȓ˷v QŽ Ϊ? ƚ? Ϊ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉt " Č ၘ׹7 ļ ļΡȉ /0 "Ŝ ŝ ҧ P P Ꮔ Ʈ ˍ J Ʈˍ" Ꮔ ' W" Ꮔ ೜wǞ ऋி_ ঠ $̒၏ 30 p _ 3=p ħ ၏ p 36 ඥ ) ၚ &) ༐ Ρ ˍȒ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉ t ")༐Ĝ×ͩ$)༐ -ሓ ȉ++)༐ 63& ''& )༐خΡȉ /0 "Ŝ ŝ ҧ P P Ꮔ Ʈˍ J Ʈˍ " Ꮔ 'ͩ$ Ꮔ 3-1 6 W" Ꮔ ೜w O ౱ =;೜wǞ ऋி_ ঠ p _ 3=p ၏ '0 +p 36 ඥ ) ၚ &၏ ļ Ρ ˍȒ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉt " ͪ*Ρȉ /0 "Ꮔ Ʈ ˍ ೜P 0 h J Ʈˍ" Ꮔ ' W" Ꮔ ೜w O ౱ =; ೜wǞ ऋி_ ঠ p _ 3= p 36ᆼ ސ Ρ ˍȒ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉ t " ऋ ᆼސ$̒ _ᆼސħ ऋᆼސºᆼސΡȉ /0 "Ꮔ Ʈˍ ೜P 0 h J Ʈˍ" Ꮔ ' W" Ꮔ ೜w O ౱ =; ೜wǞ ऋி_ ঠ $̒၏ 30 $̒ 1) $ p _ 3=p ħ ၏ p 36Ȓ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉt " ᆼސᆼސ ᆼސΡȉ /0 "Ꮔ Ʈˍ ೜P 0 h ޻J Ʈˍ Wİ _" PLQ " Ꮔ ' W" Ꮔ ೜wǞ ऋி_ ঠ$̒ 1) $ W" Ꮔµ p_V '3 p _ 3= p 36" t Ρ ˍȒ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉ t "ٚऋ"t ɢ"t ħ"t ݗƝ"t Ϥ ַ"t ַ"tΡȉ /0 "Ꮔ Ʈ ˍ ೜P 0 h J Ʈˍ" Ꮔ ' W" Ꮔ ೜w O ౱ =; ೜wǞ ऋி_ ঠ p _ 3=ᇏ W Ρ ˍȒ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉt " ' ȒsI-ቱΡȉ /0 "ŝ ҧ P P " PҧP Ꮔ Ʈˍ ೜P 0 hJ Ʈˍ " Ꮔ ' W" Ꮔ ೜w O ౱ =;೜wǞ ऋி_ ঠ p _ 3=p 36 ඥ ) ၚ &Ȓ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉ t "[ঠ౱7ɯූΡȉ /0 "ŝ ҧ P P Ꮔ Ʈˍ ೜P 0 h J Ʈˍ" Ꮔ ' W" Ꮔ ೜wǞ ऋி_ ঠ p _ 3=Ȓ˷v QŽ Ϊ? ƚ? ̟ʭȣ? ̤ ? bȚ @၏/Ρȉt "֋ Һ ħ P''& Ȓ 4 ȒΡȉ /0 "ŝ ҧ P P Ꮔ Ʈˍ ೜P 0 h ޻J Ʈˍ Wİ _" PLQ " Ꮔ ' W" Ꮔ ೜w O ౱ =;೜wǞ ऋி_ ঠ W" Ꮔp _ 3=p 36 ඥ ) ၚ &WΡˍඪ- Ρ ˍȒ˷v ƬE ƚ? t?̤ t? bȚ @၏/Ρȉ t "- W_V - _V - _ - Ρ ˨॒ȉ - ˨॒ȉ-Ρȉ /0 "ҺȬܞ " Ū * ҧ P ȉ ଄ ŝ ҧ P P Ꮔ Ʈˍ 8 0 h೜P˥ փ 0 h߳$ ¥ NJ ࣋ä NJ"̵၏/Ρȉt "- W_V - _V - _ - Ρ ˨॒ȉ - ˨॒ȉ- ޻ J Ʈˍ ደtĉ "Wİ _" PLQ " Ꮔ ' O _ 3$6+(1 O_Væ _V၏ ೜wǞ ऋி_ ঠW" Ꮔµ p_V '3 p 36 ඥ ) ၚ &Ȓ˷v ƬE ƚ? t?̤ t? bȚ @၏/Ρȉ t "ऋ/ - '1PP ¶౧ऋ/- दశ॒ȉ -दశ˷दశΡȉ /0 "Ū * ҧ P ȉ ଄ ඝ NJ Ꮔ Ʈˍ ೜P 0 h ߳$ ¥NJ ࣋ä NJ ޻ J Ʈˍ Wİ _" PLQ W" Ꮔµ p_V '3Ρ ˍȒ˷v ƚ?O ̤ ? t?̤ t? bȚ @၏/Ρȉt " W ļၘ׹༆ ؀WݗƝΡȉ /0 "Ū * ҧ P ŝ ҧ PP Ꮔ Ʈ ˍ ޻J ƮˍWİ _" PLQ W" Ꮔ p 36 p_V %p G %0 0¡ ඥ ) ၚ &) ༐ Ρ ˍȒ˷v ƚ?̤ ˿̤ ? t? bȚ @၏/Ρȉ t " ၘ׹ Ɩś)༐ݗƝၘ׹)༐)༐ၘ׹)༐Ρȉ /0 "Ū * ҧ P Ŝ " PҧP Ꮔ Ʈ ˍ ޻ J Ʈˍ Wİ _" PLQ W" Ꮔ ೜wǞ ऋி_ ঠW" Ꮔ p 36p_V %Ȓ˷v ƚ?̤ ˿̤ ? t? bȚ @၏/Ρȉt "خ 7)༐ 7 )༐ 7 خ )༐၏ļ "t)༐Ρȉ /0 "Ū * ҧ P Ŝŝ ҧ PP " PҧP Ꮔ Ʈˍ ޻J Ʈˍ Wİ _" PLQ ͩ$ Ꮔ 3-1 6 W" Ꮔ೜wǞ ऋி_ ঠ W" Ꮔ p 36p_V % ඥ ) ၚ &၏ļ "tΡˍȒ˷v ƚ? t?̤ t? bȚ @၏/Ρȉ t "ɢ*ͪtɢϤ t ɢ $̒_ᆼސΡȉ /0 "Ū * ҧ P Ꮔ Ʈˍ ೜P 0 h ޻J ƮˍWİ _" PLQ W" Ꮔ$̒ 1) $ W" Ꮔ p 36ᇏ W Ρ ˍȒ˷v ƚ? t?̤ t? bȚ @၏/Ρȉt " 2 Ȋɢ-ސ֋ቱ"WΡȉ /0 "Ū * ҧ P ȉ ଄ ŝ ҧ PP Ꮔ Ʈˍ ೜P 0 h޻ J Ʈˍ Wİ _" PLQ W" ᏄȒ˷v ƚ? t?̤ t? bȚ @၏/Ρȉ t "ٚ *Ɗ ቱ µW Ȓ µ %W ސȒ4 Ȓऋ/ǋ_Ρȉ /0 "Ū * ҧ P ŝ ҧ P P Ꮔ Ʈˍ ೜P 0 h ޻ J ƮˍWİ _" PLQ W" Ꮔ p_V %Ȓ˷v ƚ? t?̤ t? bȚ @၏/Ρȉt " ǋ _- ˥-W /W_V ˫Ρȉ /0 "Ū * ҧ P ȉ ଄ ŝ ҧ P P Ꮔ Ʈ ˍ ę೜P 0 h ޻ J Ʈˍ Wİ _" PLQ W" Ꮔæ _V၏ W" Ꮔඥ ) ၚ &Ȓ˷v ƚ? t?̤ t? bȚ @၏/Ρȉ t " W _ ˫W ˫ቱǔѨΡȉ /0 "Ū * ҧ P ŝ ҧ P P Ꮔ Ʈ ˍ ę ೜P 0 h ޻ J Ʈˍ Wİ _" PLQඪ " ÅPᇗˣᇗ ඪȒ˷v ƚ?̤ ? bȚ ? t@၏/Ρȉt "ļͩħᎵW ඪ ᇗ ᆼސඪ ᇗˣᆼސඪ $̒ᆼސඪ P 9 9ᆼސඪ 3 (ᆼސඪΡȉ /0 "" PҧP Ꮔ Ʈ ˍ J Ʈˍ Wİ _" PLQ ೜wǞ ऋி_ ঠ $̒၏ 30 $̒ 1) $W" Ꮔ p _ 3=pp 36 p_V % ඥpC 65ඪȒ˷v ƚ?̤ ? bȚ ? t@၏/Ρȉ t " "̒ඪඪ ļඪΡȉ /0 "" PҧP Ꮔ Ʈ ˍ J Ʈˍ+೜wǞ ऋி_ ঠ $̒၏ 30 $̒ 1) $ p _ 3=Ȓ˷v ƚ?̤ ? bȚ ? t@၏/Ρȉt " * ඪͪ ඪݗƝඪǌᇕඪΡȉ /0 "" PҧPᏄ Ʈ ˍJ Ʈˍ೜wǞ ऋி_ ঠp _ 3=p) ༐ ඪȒ˷v ƚ?̤ ? bȚ ? t@၏/Ρȉ t "W ʍඪ++ඪ3,'ඪᇗ ޻ ඪGÅP ඪΡȉ /0 "" PҧPᏄ Ʈ ˍJ Ʈˍ೜wǞ ऋி_ ঠp _ 3=pt "ঠ ቱඪ ቱඪސඪ "t ඪ" ඪÅඪΡȉ /0 "" PҧPᏄ Ʈ ˍJ Ʈˍ೜wǞ ऋி_ ঠp _ 3=pȒ˷v ƚ?̤ ? bȚ ? t@၏/Ρȉ t "ÅPȒµƳͽၘ׹ၘ׹ Ρ ၘ׹ ΡΡȉ /0 "" PҧP Ꮔ Ʈ ˍ J Ʈˍ" Ꮔ ' ೜wǞ ऋி_ ঠ p _ 3= pt "W)༐౒ )༐3,')༐7)༐ቱ )༐ַÅP)༐Ρȉ /0 "ȉ ଄ ŝ ҧ P P Ꮔ Ʈˍ ೜P 0 h J Ʈˍ " Ꮔ ' O ౱ =; W" Ꮔ೜w O ౱ =; $̒၏ 30µ p_V '3p 36 ඥ ) ၚ &Ȓ˷v ƚ?̤ ? t? bȚ @၏/Ρȉ t "ၘ׹ W)༐Ρȉ /0 "Ū * ҧ P ȉ ଄ ŝ ҧ PP Ꮔ Ʈˍ ೜P 0 h޻ J ƮˍWİ _" PLQ æ _V၏ W" Ꮔµ p_V '3 p 36··Ȓ˷v ƚ?̤ ? h ƚ?A H? t˿ t? bȚ @၏/Ρȉt "W · W · Wæ ·W ຺·Ρȉ /0 "ȉ ଄Ź๮ 0 ඝ NJN :gK Ꮔ Ʈˍ ೜P˥ 0 h ࣋ä NJ ޻ J Ʈˍᇇ/࣋ǅ WWİ _" PLQ " Ꮔ ' W" Ꮔ p _ 3= p 36 ඥ ) ၚ &Ȓ˷v ƚ?̤ ? h ƚ?A H? t˿ t? bȚ @၏/Ρȉ t "W ·W · $·NJ Ig PNJ Ig PΡȉ /0 "ȉ ଄Ź๮ 0 ඝ NJN :gK Ꮔ Ʈ ˍ - ඪ ೜P˥ 0 h ࣋ä NJ J Ʈˍᇇ/࣋ǅ W " Ꮔ ' ೜wǞ ऋி_ ঠ p _ 3= p 36 p G %0 0¡Ȓ˷v ƚ?̤ ? h ƚ?A H? t˿ t? bȚ @၏/Ρȉt " ॒W ·9Ρȉ /0 "ȉ ଄ ඝ NJ Ꮔ Ʈˍ ೜P˥ 0 h ࣋ä NJ ޻ J Ʈˍ) ༐Ȓ˷v ƚ?̤ ˿̤ʷ?Ț ?̤ȇ@၏/Ρȉ t "Wæ )༐ W ຺)༐ W)༐ $)༐ ౧ሓ s2Ρȉ /0 "Ū * ҧ P ȉ ଄ ඝ NJ Ꮔ Ʈˍ [ 0 h࣋äNJ ޻ ඥ P ޻ J Ʈˍ"̵၏/Ρȉt "Wæ )༐ W ຺)༐ W)༐ $)༐ ౧ሓ s2ᇇ/࣋ǅ W )_ 03DWİ _" PLQ " Ꮔ ' W" Ꮔ ೜wǞ ऋி_ ঠ W" Ꮔ p _ 3= p ၏ '0 + p 36p G %0 0¡ ඥ ) ၚ &Ȓ˷v ƚ?̤ ˿̤ʷ?Ț ?̤ȇ@၏/Ρȉ t "޻ඥÅP౱WW- W-Ρȉ /0 "Ū * ҧ P ŝ ҧ P P Ꮔ Ʈ ˍ ޻ ඥ P ޻ J ƮˍWİ _" PLQ " Ꮔ ' p _ 3= p 36p G %0 0¡޻Ȓ )༐Ȓ˷v Ϊ? ƚ? bȚ ? t@၏/Ρȉt "%V _V)༐ %V ऋ/)༐ %V )༐/Ρȉ /0 "ҺȬܞ " ȉ ଄ ඝ NJ Ꮔ Ʈ ˍ ࣋ä NJ ޻ J Ʈˍ·o ၏/Ρȉ t "tȉ W tȉÅ Åސ+ǌȉ-Ρȉ /0 "Ū * ҧ P ȉ ଄ŝ ҧ P P Ꮔ Ʈ ˍ ޻ J Ʈˍ Wİ _" PLQ " Ꮔ 'W" Ꮔ W" Ꮔp 36o၏/Ρȉt "% ූ W ȉ sȉ - ȉ خW ˫Ƴ- ˫Ρȉ /0 "Ū * ҧ P " PҧP Ꮔ Ʈ ˍ ޻ J Ʈˍ Wİ _" PLQ " Ꮔ ' W" ᏄW" Ꮔ p _ 3=p ၏ '0 +p 36 ඥ ) ၚ &+ )Ꮔç +Ȓ˷v ʷ ƚq h ƚ?Qȣ? ?B H@၏/Ρȉ t " +_V +ऋ/ _ +Č ç + Č˷Ρȉ /0 " Ꮔ Ʈˍ ޻ ç) " Ꮔ 'ͩ$ Ꮔ 3-1 6 O _ 3$6+(1 O_VO ౱ =;µ p_V '3p _ 3=p 36p G %0 0¡) ༐ +Ȓ˷v ʷ ƚq h ƚ?Qȣ? ?B H@၏/Ρȉt "౒Ρ ++µ +++Ρȉ /0 " Ꮔ Ʈˍ޻ ç) " Ꮔ 'ͩ$ Ꮔ 3-1 6 O ౱ =; p _ 3= p 36p G %0 0¡ ඥ ) ၚ &Ƒ ç ූc/ç`çҧ ූȒ˷v ΁ ƚ?j ? t?̤ ?ƬE ƚ? h ƚ?A ƚ?QŽ̤ȇ? LR Ț @၏/Ρȉ t "޻ ç` ȉ ç` ޻ç/ ȉ ç` d&e v G` ç ූҧ çූ NJ NJΡȉ /0 "ȉ ଄ ඝNJ ŝ ҧ PP " PҧPN:gK Ꮔ Ʈ ˍ࣋äNJ ޻ ඥ P J Ʈˍ " Ꮔ ' p _ 3=p 36pG %0 0¡ᆼ ç၏/Ρȉt " çᇄȉ / ç Ź๮ çᆼ- çݯW çΡȉ /0 "ȉ ଄ ŝ ҧ P P Ꮔ Ʈˍ J Ʈˍ " Ꮔ ' p _ 3=p ħ ၏p 36pG %0 0¡ඥpC 65 ඥ ) ၚ &/ ූ ܣ +ɯ çȒ˷v Ȍ t?ƬE ƚ? ̤ ?̤ȇ?ͷТ ƚ? LR H@၏/Ρȉ t "/ //Ѥ NJWW Ρ¶Ǉ¶ǇΡȉ /0 "ȉ ଄ ඝ NJ ŝ ҧ P P Ꮔ Ʈˍ ೜P 0 h࣋ä NJ ޻ ඥ P J Ʈˍp _ 3= p 36Ȓ˷v Ȍ t?ƬE ƚ? ̤ ?̤ȇ?ͷТ ƚ? LR H@၏/Ρȉt "+ɯ ç ܣ ç p / $ / " /ූΡȉ /0 "ȉ ଄ ŝ ҧ P P " PҧP Ꮔ Ʈˍ೜P 0 h޻ ඥ P J Ʈˍ ޻ ç) " Ꮔ ' ೜wǞ ऋி_ ঠp _ 3=p 36pG %0 0¡ඥ ) ၚ &Ѥ tȒ˷v L Ț bȌ? ȷ SȷȚ ?ȐСȚ ? ȷ?qƭ?͉ < Țǽ@၏/Ρȉ t "t //NJ ˷Ρȉ /0 "ŝ ҧ P P Ꮔ Ʈ ˍ ࣋ä NJ J Ʈˍp _ 3= p 36Ȓ˷v L Ț bȌ? ȷ SȷȚ ?ȐСȚ ? ȷ?qƭ?͉ < Țǽ@၏/Ρȉt "t //NJ ˷Ρȉ /0 "ŝ ҧ P P Ꮔ Ʈˍ ࣋äNJ J Ʈˍp _ 3= p 36 ඥ ) ၚ &Ȓ˷v L Ț bȌ? ȷ SȷȚ ?ȐСȚ ? ȷ?qƭ?͉ < Țǽ@၏/Ρȉ t "Ҕě t t//W ˷Ρȉ /0 " t Ʈˍ࣋ǅ Ʋ/ W c Ʋ/ W ᇇ/࣋ǅ Wp _ 3=p 36 ඥ ) ၚ &ǋ <ě çǋȒ˷v F ?ЗǩΪtѢ? VǩΪ̏ ѥQŽ t ƚ?Ț ?R Ț ? ȣ@၏/Ρȉt "qȏ ॒ȏ ग ၏ऋ- 3+ áˣ 3+Ρȉ /0 "ȉ ଄ ŝ ҧ P P NJ N:gKᏄ Ʈˍ ೜P 0 h"̵၏/Ρȉ t "qȏ ॒ȏ ग ၏ऋ- 3+ áˣ 3+*੬ NJ ঠ. ޻ J Ʈˍ" Ꮔ ' ೜w O ౱ =; p _ 3= p 36pG %0 0¡t "bqqΡȉ /0 "ȉ ଄ŝ ҧ P P NJN:gK Ꮔ Ʈ ˍ *੬NJ ঠ. ޻ J Ʈˍ " Ꮔ ' ೜w O ౱ =;p _ 3= p 36pG %0 0¡ඥ ) ၚ &Ȓ˷v F ?ЗǩΪtѢ? VǩΪ̏ ѥQŽ t ƚ?Ț ?R Ț ? ȣ@၏/Ρȉ t "ඔ ඥG ༆༆ၭ*ၭ૭ ȏ ɢǚ %WçΡȉ /0 "ȉ ଄ŝ ҧ P P " PҧP NJN:gK Ꮔ Ʈˍ೜P 0 h*੬ NJ ঠ. ޻ J Ʈˍ Wİ _" PLQ " Ꮔ ' W" Ꮔ p _ 3=p 36t "ࢠ*25372'&2'Ρȉ /0 "ȉ ଄ ŝ ҧ P P Ꮔ Ʈ ˍ ޻J Ʈˍ" Ꮔ ' p _ 3= p 36 ඥ ) ၚ &ě ç၏/Ρȉ t "কw < /çtࢠ ၏ņ çtၠ s ౧ሓ sΡȉ /0 "ȉ ଄ ŝ ҧ PP Ꮔ Ʈ ˍঠ. ޻ J Ʈˍ " Ꮔ ' $̒၏ 30p _ 3= p 36ඥ ) ၚ &Ĝ× ූȒ˷v қŽ?΁ Ȍ?j ? t? h ƚ?Ț ?̤ȇ?O @၏/Ρȉt " ሓ$ĉ 2 ȏ /äΡȉ/0 "ŝ ҧ P PJ Ʈˍp 36Ȓ˷v қŽ?΁ Ȍ?j ? t? h ƚ?Ț ?̤ȇ?O @၏/Ρȉ t " ஧9 çຌ ඪ2ņ $ěΡČČΡȉ/0 "ŝ ҧ P PJ Ʈˍp 36Қc sȒ˷v ΁ Ȍ?j ?"j? tU ?̤ȇ?̤ʷ̤ ƚ@၏/Ρȉt " s/Ӑ y Nδ sΡȉ /0 "Ź๮ 0 ̒ ¶ ඝNJ NJ N:gKNJ ೜P 0 h ࣋ä NJ *੬NJ ޻ ඥ P ޻ J Ʈˍ ࣋ǅ Ʋ/ W ᇇ/࣋ǅ W ޻ ç)p 36ႋ஧ çȒ˷v Ȍ? tʭȣ? ̤ ?ƬE ƚ? h ƚ?R Ț @၏/Ρȉ t " - / đΡȉ /0 "ȉ ଄ ŝ ҧ P PN:gK Ꮔ Ʈˍ ೜P 0 h J Ʈˍ " Ꮔ ' ೜w O ౱ =; ೜wǞ ऋி_ ঠp _ 3=p 36pG %0 0¡Ƒ ÅP ූsI ç ූȒ˷v Ȍ? h ƚ?Ț ? t?R Ț @၏/Ρȉt " ૭ ȏݗƝ$ Č ȏݗƝćઐt %W ČćූΡȉ /0 "ȉ ଄ŝ ҧ P PN:gK Ꮔ Ʈˍ8 0 h ೜P 0 h J Ʈˍ ɑ " Ꮔ W" Ꮔ೜w O ౱ =;೜wǞ ऋி_ ঠ p _ 3= p 36pG %0 0¡ ඥ ) ၚ &Ȓ˷v Ȍ? h ƚ?Ț ? t?R Ț @၏/Ρȉ t " %W Čć "૭ s I ݖ ූä ç ූ2 ç ූΡȉ /0 "ȉ ଄ ඝ NJ ŝ ҧ PPN:gK Ꮔ Ʈˍ೜P 0 h J Ʈˍɑ " Ꮔ W" Ꮔ ೜wǞ ऋி_ ঠ p _ 3= p 36Ȓ˷v Ȍ? t?̤ ?ƬE ƚ? h ƚ?A ƚ?D @၏/Ρȉt "s )) 2 PΡȉ /0 "ȉ ଄" PҧP N:gK Ꮔ Ʈˍ ೜P 0 h J Ʈˍ॒_[ P p _ 3= p 36Ȓ˷v Ȍ? t?̤ ?ƬE ƚ? h ƚ?A ƚ?D @၏/Ρȉ t "Ӑၠ sđ· ූ Nδ ූ WᆼΡȉ /0 "Ū * ҧ P ŝ ҧ P P NJN:gK Ꮔ Ʈ ˍ ೜P 0 h *੬ NJ ޻ J Ʈˍ ॒_[ P p _ 3= p 36Ȓ˷v L tІȚ qR Ț @၏/Ρȉt "s ))Ρȉ /0 "" PҧPN:gK Ꮔ Ʈˍ೜P 0 hJ ƮˍW" Ꮔ ؀ 96 & ೜wǞ ऋி_ ঠ p _ 3= p 36 ඥ ) ၚ &Ȓ˷v L tІȚ qR Ț @၏/Ρȉ t " ᇏW ၠ sȒቱʍސΡȉ/0 "Ꮔ Ʈ ˍp _ 3=p 36- W ූȒ˷v ƬE ƚ?LƃA H?Qȣ? ?ѥ ?R j @၏/Ρȉt "ᇗˣᇗ Č ČΡȉ /0 " Ꮔ Ʈˍɑ " Ꮔ $̒ 1) $p _ 3=p 36 ඥ ) ၚ &ַÅP ූȒ˷v OȐ ƚ? h ƚ?R B H?A H@၏/Ρȉ t "" ฬ ݖ " - ČΡȉ /0 "౧ P " PҧP PN:gK Ꮔ Ʈ ˍ ቶ೜ NJ J Ʈˍ p _ 3= p 36 ඥ ) ၚ &Ȓ˷v ƬE ƚ? ̤ ? =A ?A ƚ? ?ǃ j ?R H@၏/Ρȉt "" ǌᇕ Å ූ Č ǌᇕ Å ූ ČΡȉ /0 "౧P Ꮔ Ʈˍȏ౧ç) 47 $ ޻ ç) ɑ " Ꮔ p _ 3= p 36ඥ ) ၚ & ඥ ౐ΰpȒ˷v ƬE ƚ? t? ̤ ? =A ?A ƚ? ?ǃ j ?R H@၏/Ρȉ t " ᆾ Å ූW ַÅP $ ַÅPΡȉ /0 "౐Ŝ "P Ū * ҧ P ౧ P ŝ ҧ P P " PҧP Ꮔ Ʈˍ೜P 0 h ޻"̵၏/Ρȉt "ᆾ Å ූW ַÅP$ ַÅPWİ _" PLQ ޻ ç) ɑ " Ꮔ W" Ꮔ ೜wǞ ऋி_ ঠ W" Ꮔ p _ 3= p 36pG %0 0¡ ඥ ) ၚ & ඥ ౐ΰpݗƝ ූȒ˷v ̤ ? ƚ?ųSB H? @၏/Ρȉ t "" ඥ+ݗƝ " ČΡȉ /0 "౧ P " PҧP PN:gK Ꮔ Ʈˍ ቶ೜NJ ""ඥ %9 P J Ʈˍ p _ 3= p 36 ඥ ) ၚ &。

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瀚闻资讯 Dalian Infobank Co., Ltd.
巴拉圭 2017 年度真实买家/进口商/收货人/采购商排名 PARAGUAY Active and Exact Importers 更多买家信息、采购信息、进出口交易记录、进出口贸易数据、真实交易记录、请与瀚闻资讯联系 Please visit our website to get more import and export trade information
数据来源：全球最大贸易统计数据库—GTA
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click to get more inform砖，0.5%＜按重量计吸水率≤10%，但子目 6907.30 和 6907.40 所列商品除外（HS 690722）巴拉圭（90 个）进口商排名（按进口额排名） Furring brick, paving brick, including furnace brick and wall brick, < 0.5% by weight meter bibulous rate is 10% or less, except the commodity stipulated in specific item 6907.30 and 6907.40 (HS 690722)2017 PARAGUAY Importer Rankings
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click to get more information
瀚闻资讯 Dalian Infobank Co., Ltd.
7 8 9 10
CLEDIRSA SA CENTRO COMERCIAL CIMENTAO SA GALEANO ALVARENGA EVER HERIB CORPORACION MERCANTIL SA
按采购金额排序 Ranked by import amount
排名 Rank 1 2 3 4 5 6 公司名称/Company Name UNIVERSO EMPRENDIMIENTOS SA J.S. COMERCIAL SRL PRESENTADO VELAZQUEZ OSVALDO CASA MAPY SA SANITARIOS Y CERAMICAS SA CARDONA MORA CLAUDIA ADRIANA
全球最大的贸易统计数据库 – GTA2017 年终统计结果显示：2017 年 1-12 月贴面砖、铺面砖，包括炉面砖及墙面砖，0.5%＜按重量计吸水率≤10%，但子目 6907.30 和 6907.40 所列商品除外（商品编码 690722）巴拉圭进口商共计 90 个 GTA (Global Trade Analysis System), the world's largest trade intelligence database shows that there are 90 PARAGUAY Importers of Furring brick, paving brick, including furnace brick and wall brick, < 0.5% by weight meter bibulous rate is 10% or less, except the commodity stipulated in specific item 6907.30 and 6907.40 (HS CODE 690722) in 2017