Influence of urbanization on the thermal environment of meteorological station:Satellite-observed evidence

作     者：SHI Tao HUANG Yong WANG Hong SHI Chun-E YANG Yuan-Jian 

作者机构：Key Laboratory of Atmospheric Sciences and Satellite Remote Sensing of Anhui Province Anhui Institute of Meteorological Sciences Wuhu Meteorological Bureau Nanjing University of Information Science and Technology 

出 版 物：《Advances in Climate Change Research》 (气候变化研究进展（英文版）)

年 卷 期：2015年第6卷第1期

页      面：7-15页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0709[理学-地质学] 07[理学] 070601[理学-气象学] 0708[理学-地球物理学] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0704[理学-天文学] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Natural Science Foundation of China(41205126 and 41475085) Anhui Provincial Natural Science Foundation(1408085MKL60 and1508085MD64) Meteorological Research Fund of Anhui Meteorological Bureau(KM201520) 

主　　题：Urbanization Thermal environment Representativeness Land surface temperature Normalized difference vegetation index (NDVI) 

摘      要：In this paper, five national meteorological stations in Anhui province are taken as typical examples to explore the effects of local urbanization on their thermal environment by using Landsat data from 1990 to 2010. Satellite-based land use/land cover(LULC), land surface temperature(LST), normalized difference vegetation index(NDVI) are used to investigate the effects. The study shows that LULC around meteorological stations changed significantly due to urban expansion. Fast urbanization is the main factor that affects the spatial-temporal distribution of thermal environment around meteorological stations. Moreover, the normalized LST and NDVI exhibit strong inverse correlations around meteorological stations, so the variability of LST can be monitored through evaluating the variability of NDVI. In addition, station-relocation plays an important role in improving representativeness of thermal environment. Notably, the environment representativeness was improved, but when using the data from the station to study climate change, the relocation-induced inhomogeneous data should be considered and adjusted. Consequently,controlling the scale and layout of the urban buildings and constructions around meteorological stations is an effective method to ameliorate observational thermal environment and to improve regional representativeness of station observation. The present work provides observational evidences that high resolution Landsat images can be used to evaluate the thermal environment of meteorological stations.