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Mapping the exposure and sensitivity to heat wave events in China's megacities  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Mapping the exposure and sensitivity to heat wave events in China's megacities

作者:Wang, Juan[1,2];Meng, Bin[1];Pei, Tao[1,2];Du, Yunyan[2];Zhang, Jingqiu[1];Chen, Siyu[1];Tian, Bin[1];Zhi, Guoqing[1]

第一作者:王娟;Wang, Juan

通讯作者:Meng, B[1]

机构:[1]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China;[2]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China

第一机构:北京联合大学应用文理学院

通讯机构:[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China.|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

年份:2021

卷号:755

外文期刊名:SCIENCE OF THE TOTAL ENVIRONMENT

收录:;EI(收录号:20204409423772);Scopus(收录号:2-s2.0-85094170899);WOS:【SSCI(收录号:WOS:000600537400070),SCI-EXPANDED(收录号:WOS:000600537400070)】;

基金:This research was funded by the National Key Research and Development Program of China (Grant Nos. 2017YFB0503605), National Science Foundation of China (41601460, 41671165), Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality, (No. IDHT20180515, CIT&TCD201904070). We thank Prof. Tao Pei, Prof. Yunyan Du, Prof. Jingqiu Zhang for the constructive comments and suggestions on the manuscript. Prof. Bin Meng designed and implemented the data analysis methods. Siyu Chen, Bin Tian, Guoqing Zhi assisted with the data analysis.

语种:英文

外文关键词:Heat wave events; Exposure; Sensitivity; China; Weibo social media

摘要:The rising temperature makes the weather becoming more extreme. Understanding how extreme hot temperature-heat wave events (HWEs)-are likely to alter individual heat exposure and sensitivity is crucial for developing climate change mitigation and adaptation strategies. Despite the importance, little is known about the real-time impacts of HWEs on individual daily life in developing nations, like China. To fill this gap, we adopt over 1544 thousand Weibo (Chinese Twitter) social media data, coupled with meteorological conditions people face when posting, to assess the heat exposure and people's sensitivity to HWEs across 31 mega-cities in China. The results show the hotspot of Weibo heat is coincident with the extremely hot temperature, with a correlation of 0.7 (p< 0.05). The intensities, frequencies, and durations of HWEs in both geographical and social media space have high spatial heterogeneity. Its spatial variation can be explained by the type of climate zone and the unique geographical environment. The cities with extreme hot weather are more likely to adapt to the heatwave and less sensitivity to HWEs. The proposed framework, which integrates the real-time social media semantic analysis, statistical method, and spatial techniques, provides a new paradigm to assess the HWEs exposure and sensitivity analysis in China. (C) 2020 The Author(s). Published by Elsevier B.V.

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