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遥感技术与应用  2016, Vol. 31 Issue (6): 1150-1157    DOI: 10.11873/j.issn.1004-0323.2016.6.1150
遥感应用     
基于遥感和CFD模拟的城市绿地形态对热环境的影响研究
李小龙,杨英宝,曹利娟,章勇
(河海大学地球科学与工程学院,江苏 南京 211100)
Research on the Influence of Urban Green Space Distribution on the Thermal Environment based on RS and CFD Simulation
Li Xiaolong,Yang Yingbao,Cao Lijuan,Zhang Yong
(School of Earth Science and Engineering,Hohai University,Nanjing 211100,China)
 全文: PDF(8605 KB)  
摘要:

为探寻不同绿地分布形态对城市热环境的改善效果及差异,结合遥感技术和CFD(Computational Fluid Dynamics)数值模拟方法,对城市中五类常见的绿地布局形式的温度场进行数值模拟。利用遥感影像以及LIDAR数据建立三维模型,并通过实地测量温度值对ENVI\|met软件模拟结果的真实性做了检验,得到在不同高度上不同绿地分布形态的温度场模拟结果。实验结果表明:将CFD技术引入城市热环境研究这一思路是可行的,根据典型绿地分布形态的热环境模拟分析,不同分布形态在不同高度上具有不同的降温效果。地表处点状分布效果最好,2 m处楔状分布效果最好,而在10 m左右的高空条带状的降温效果最好。

关键词: 绿地分布形态地表温度城市热环境CFD数值模拟遥感技术    
Abstract:

Understanding the link between greenspace patterns and land surface temperature is very important for mitigating the impact of urbanization on Urban Heat Island (UHI) and also useful for professionals and decision\|makers during the design phase of urban planning.Previous most researches were conducted to examine the cooling effects of greenspace amount,composition and configuration (spatial arrangement).Few have examined the cooling effects of spatial layout of greenspace (referring to space combination form of greenspace).Five scenarios of greenspace patterns are selected to examine them how to affect the horizontal and vertical distribution of the temperature coupling remote sensing data with a Computational Fluid Dynamics (CFD) model(ENVI\|met model).The simulation results demonstrate that zonal pattern always has the best cooling effect;dotted pattern has the best cooling effect on local ambient temperature.The temperature distributions have many similarities between radial and wedge patterns,which can become the “cold source” of urban thermal environment and play an important role in the improvement of the urban ecological environment.

Key words:      Greenspace patterns    Land surface temperature    Urban heat environment    CFD model    Remote sensing
收稿日期: 2015-10-19 出版日期: 2016-12-30
:  X 82  
基金资助:

国家自然科学基金项目“基于遥感和CFD模拟的城市居住区布局形态的热环境影响机制与调控机理”(41271538 )。

通讯作者: 杨英宝(1976-),女,安徽桐城人,副教授,主要从事城市热环境研究。Email:yyb@hhu.edu.cn。    
作者简介: 李小龙(1989-),男,山东济宁人,硕士研究生,主要从事城市热环境遥感研究。Email:lxljnnj@163.com。
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引用本文:

李小龙,杨英宝,曹利娟,章勇. 基于遥感和CFD模拟的城市绿地形态对热环境的影响研究[J]. 遥感技术与应用, 2016, 31(6): 1150-1157.

Li Xiaolong,Yang Yingbao,Cao Lijuan,Zhang Yong. Research on the Influence of Urban Green Space Distribution on the Thermal Environment based on RS and CFD Simulation. Remote Sensing Technology and Application, 2016, 31(6): 1150-1157.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1150        http://www.rsta.ac.cn/CN/Y2016/V31/I6/1150

[1]Su Weizhong,Yang Yingbao,Yang Guishan.Distributional Characteristics of Urban Thermal Space and Relations with Land Use/Cover of Nanjing[J].Scientia Geographica Sinica,2005,25(6):697-703.[苏伟忠,杨英宝,杨桂山.南京市热场分布特征及其与土地利用/覆被关系研究[J].地理科学,2005,25(6):697-703.]

[2]Zhou Hongmei,Gao Yang,Ge Weiqiang,et al.The Research on the Relationship between the Urban Expansion and the Change of the Urban Heat Island Distribution in Shanghai Area[J].Ecology and Environment,2008,17(1):163-168.[周红妹,高阳,葛伟强,等.城市扩展与热岛空间分布变化关系研究——以上海为例[J].生态环境,2008,17(1):163-168.]

[3]Weng Q,Lu D.A Sub-pixel Analysis of Urbanization Effect on Land Surface Temperature and Its Interplay with Impervious Surface and Vegetation Coverage in Indianapolis United States[J].International Journal of Applied Earth Observation and Geoinformation,2008,10(1):68-83.

[4]Yang Y B,Su W Z,Jiang N,et al.Spatial-temporal Characteristics of Urban Heat Island Effect Change of Nanjing City and Its Relation with Land use change[J].Geographical Research,2007,26(5):877-876.

[5]Zhang Hongli,Chen Yu,Zhang Naweirui,et al.Variation Characteristics of Heat Island Effect and Urban Population Development in Xi'an[J].Research of Soil and Water Conservation,2009,16(4):131-136.[张宏利,陈豫,张纳伟锐,等.西安市热岛效应变化特征与城市人口发展研究[J].水土保持研究,2009,16(4):131-136.]

[6]Li Le,Xu Hanqiu.Urban Expansion and Thermal Environment Changes in Hangzhou City of East China[J].Remote Sensing Technology and Application,2014,29(2):264-272.[李乐,徐涵秋.杭州市城市空间扩展及其热环境变化[J].遥感技术与应用,2014,29(2):264-272.]

[7]Zheng Zuofang,Liu Weidong,Wang Yingchun.Distributive Character of Urban Heat Island Effect in the Beijing Region[J].Journal of Nanjing Institute of Meteorology,2006,29(5):694-699.[郑祚芳,刘伟东,王迎春.北京地区城市热岛的时空分布特征[J].南京气象学院学报,2006,29(5):694-699.]

[8]Coutts A M,Daly E,Beringer J,et al.Assessing Practical Measures to Reduce Urban Heat:Green and Cool Roofs[J].Building & Environment,2013,70(12):266-276.

[9]Bowler D E,Buyung-Ali L,Knight T M,et al.Urban Greening to Cool Towns and Cities:A Systematic Review of the Empirical Evidence[J].Landscape and Urban Planning,2010,97(3):147-155.

[10]Li X,Zhou W,Ouyang Z,et al.Spatial Pattern of Greenspace Affects Land Surface Temperature:Evidence from the Heavily Urbanized Beijing Metropolitan Area,China[J].Landscape Ecology,2012,27(6):887-898.

[11]Liu Yanhong,Guo Jinping.Numerical Simulation for the Influence of Green Space Patterns on Urban Thermal Environment:Taking Taiyuan City as an Example[J].China Environmental Science,2011,31(8):1403-1408.[刘艳红,郭晋平.绿地空间分布形态对城市热环境影响的数值模拟分析——以太原市为例[J].中国环境科学,2011,31(8):1403-1408.]

[12]Mirzaei P A,Haghighat F.Approaches to Study Urban Heat Island-abilities and Limitations[J].Building and Environment,2010,45(10):2192-2201.

[13]Xia Junshi,Du Peijun,Zhang Hairong,et al.The Quantitative Relationship between Land Surface Temperature and Land Cover Types based on Remotely Sensed Data[J].Remote Sensing Technology and Application,2010.25(1):15-23.[夏俊士,杜培军,张海荣,等.基于遥感数据的城市地表温度与土地覆盖定量研究[J].遥感技术与应用,2010,25(1):15-23.]

[14]Liu Yanhong,Guo Jinping,Wei Qingshun.Urban Green Space Landscape Patterns and Thermal Environment Investigations based on Computational Fluid Dynamics[J].Acta Ecologica Sinica,2012,32(6):1951-1959.[刘艳红,郭晋平,魏清顺.基于CFD的城市绿地空间形态热环境效应分析[J].生态学报,2012,32(6):1951-1959.]

[15]Zhang Xinle,Zhang Shuwen,Li Ying,et al.Correlation between Urban Thermal Environment Effect and Land Use Pattern in Changchun[J].Resources Science,2008,30(10):1564-1570.[张新乐,张树文,李颖,等.城市热环境与土地利用类型形态的相关性分析[J].资源科学,2008,30(10):1564-1570.

[16]Sugawara H,Shimizu S,Takahashi H,et al.Thermal Influence of a Large Green Space on a Hot Urban Environment[J].Journal of Environmental Quality,2015,45(1):1-7.

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