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Diurnal and seasonal impacts of urbanization on the urban thermal environment: A case study of Beijing using MODIS data
Institution:1. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China;2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, Jiangsu 210093, China;3. Department of Geography, University of Western Ontario, London, ON N6A 5C2, Canada;1. College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China;2. National Engineering Laboratory of Forest Ecology and Applied Technology for Southern China, and Central South University of Forest and Technology, Changsha 410004, China;3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;1. Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, Tempe, AZ 85287-5402, United States;2. School of Geographical Sciences & Urban Planning, Arizona State University, Tempe, AZ 85287-5302, United States;3. Department of Health Sciences and Department of Sociology, Northeastern University, Boston, Massachusetts, 02115, United States;4. School of Sustainability, Arizona State University, Tempe, AZ 85287-5502, United States
Abstract:Beijing has experienced rapid urbanization and associated urban heat island effects and air pollution. In this study, a contribution index was proposed to explore the effect of urbanization on land surface temperature (LST) using Moderate-Resolution Imaging Spectroradiometer (MODIS)-derived data with high temporal resolution. The analysis indicated that different zones and landscapes make diurnally and seasonally different contributions to the regional thermal environment. The differences in contributions by the three main functional zones resulted from differences in their landscape compositions. The roles of landscapes in this process varied diurnally and seasonally. Urban land was the most important contributor to increases in regional LSTs. The contributions of cropland and forest varied distinctly between daytime and nighttime owing to differences in their thermal inertias. Vegetation had a notable cooling effect as the normalized vegetation difference index (NDVI) increased during summer. However, when the NDVI reached a certain value, the nighttime LST shifted markedly in other seasons. The results suggest that urban design based on vegetation partitions would be effective for regulating the thermal environment.
Keywords:Urbanization  Land surface temperature  Contribution index  MODIS  Beijing
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