基于TIRS和GIS的城市热环境效应分析——以广东省珠海市为例

Tingjun Zhang, Ruei-Yuan Wang, Zhe Zhu Yun-Shang Wang
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摘要

中国城市化的快速发展不仅体现在土地面积的紧张和人口的快速增长上,也引起了局部城市气候的变化,如城市热岛效应(UHIE)日益明显。本研究探讨了城市地表覆盖类型对城市热环境的影响。以广东省珠海市为例,基于Landsat-8热红外遥感(TIRS)数据,采用大气校正法(又称辐射传输方程,RTE)和裂窗反演算法反演研究区地表温度(LST),并比较其精度。应用ArcGIS对数据进行归一化处理后,采用标准差法对地表温度进行分类,得到城区地表温度水平分布图。此外,采用城市热岛比例指数对研究区UHIE进行评价,得到了研究区UHIE强度分布。基于地理和国家数据,采用数学统计和空间统计相结合的方法,建立了3种不同类型水体(植被和不透水地表)下垫面覆盖比例与地表温度之间的相关性。得到了城市下垫面布局对热环境的影响结果,得到了城市整体热环境效应。
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Analysis of Urban Thermal Environment Effect by TIRS and GIS: A Case Study of Zhuhai, Guangdong
The rapid development of urbanization in China is not only reflected in the tight land area and rapid population growth but also causes changes in the local urban climate, such as the increasingly obvious urban heat island effect (UHIE). This study explores the impact of urban surface cover types on the urban thermal environment. Taking Zhuhai City, Guangdong Province as an example, based on Landsat-8 thermal infrared remote sensing (TIRS) data, the atmospheric correction method (also known as Radiation Transfer Equation, RTE) and spilt-window inversion algorithm are used to invert the land surface temperature (LST) of the study area and compare their accuracy. After applying ArcGIS to normalize the data, the standard deviation method was used to classify the LST and obtain the distribution map of surface temperature levels in the urban area. In addition, the urban heat island proportion index was used to evaluate the UHIE in the study area, and the distribution of UHIE intensity was obtained. Based on geographical and national data, a combination of mathematical and spatial statistics was used to establish a correlation between the proportion of underlying surface coverage and LST in three different types of water bodies: vegetation and impermeable water surfaces. The results of the effect of urban underlying surface layout on the thermal environment were obtained, and the overall thermal environment effect of the city was obtained.
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