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Spatialization of anthropogenic heat using multi-sensor remote sensing data: a case study of Zhejiang Province, East China |
MA Pan-pan, WU Juan-jia, YANG Xu-chao, QI Jia-guo |
Ocean College, Zhejiang University, Zhoushan 316021, China |
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Abstract Using the top-down energy inventory method and considering the energy consumption from industry, transportation, buildings and human metabolism, total anthropogenic heat emissions from the 68 counties of Zhejiang Province in 2010 were calculated. The DMSP/OLS nighttime light data and the thresholding method were used to extract the main emission areas of anthropogenic heat and to reduce the overglow effect. High-resolution enhanced vegetation index (EVI) data were integrated with DMSP/OLS data to generate a human settlement index (HSI). Using the significant correlation between total anthropogenic heat emissions and cumulative HIS, the model for anthropogenic heat flux estimation was developed and implemented in Zhejiang Province. A gridded anthropogenic heat flux map was generated at a resolution of 250m×250m. The results show that the mean flux in the study area was 5.5W/m2 with the high values between 10W/m2 and 40W/m2 in most urban areas. The gridded anthropogenic heat data can be served as an input in the simulation of urban climate and environment.
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Received: 13 June 2015
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