Heat Health Risk and Adaptability Assessments at the Subdistrict Scale in Metropolitan Beijing
文献类型：期刊论文
| 作者 | Su, Xiaokang2,3; Wang, Fang3; Zhou, Demin2; Zhang, Hongwen1 |
| 刊名 | INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
 |
| 出版日期 | 2022-10-24 |
| 页码 | 17 |
| 关键词 | Beijing Heat health risk Heat adaptability High-temperature interpolation models Subdistrict scale |
| ISSN号 | 2095-0055 |
| DOI | 10.1007/s13753-022-00449-8 |
| 通讯作者 | Wang, Fang(wangf@igsnrr.ac.cn) |
| 英文摘要 | Against the background of global climate change, the increasing heat health risk from the combined effect of changes in high temperature, exposure, vulnerability, and other factors has become a growing concern. Yet the low number of temperature observation stations is insufficient to represent the complex changes in urban heatwaves, and subdistrict-scale (town, township, neighborhood committee, and equivalent) heat health risk and adaptability assessments are still limited. In this study, we built daytime and nighttime high-temperature interpolation models supported by data from 225 meteorological stations in Beijing. The models performed well at interpolating the cumulative hours of high temperature and the interpolation quality at night was better than that during the day. We further established a methodological framework for heat health risk and adaptability assessments based on heat hazard, population exposure, social vulnerability, and adaptability at the subdistrict scale in Beijing. Our results show that the heat health risk hotspots were mainly located in the central urban area, with 81 hotspots during the day and 76 at night. The average value of the heat health risk index of urban areas was 5.60 times higher than that of suburban areas in the daytime, and 6.70 times higher than that of suburban areas in the night. Greater population density and higher intensity of heat hazards were the main reasons for the high risk in most heat health risk hotspots. Combined with a heat-adaptive-capacity evaluation for hotspot areas, this study suggests that 11 high-risk and low-adaptation subdistricts are priority areas for government action to reduce heat health risk in policy formulation and urban development. |
| WOS关键词 | CLIMATE-CHANGE ; SOCIAL VULNERABILITY ; TEMPERATURE ; INDEX ; WAVE |
| 资助项目 | National Key Research and Development Program of China[2019YFC0507805] ; Strategic Leading Science and Technology Program of the Chinese Academy of Sciences[XDA20020202] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000871263500001 |
| 出版者 | SPRINGER |
| 资助机构 | National Key Research and Development Program of China ; Strategic Leading Science and Technology Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185963]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Fang |
| 作者单位 | 1.Beijing Meteorol Disaster Prevent Ctr, Beijing 100089, Peoples R China 2.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Xiaokang,Wang, Fang,Zhou, Demin,et al. Heat Health Risk and Adaptability Assessments at the Subdistrict Scale in Metropolitan Beijing[J]. INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE,2022:17. |
| APA | Su, Xiaokang,Wang, Fang,Zhou, Demin,&Zhang, Hongwen.(2022).Heat Health Risk and Adaptability Assessments at the Subdistrict Scale in Metropolitan Beijing.INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE,17. |
| MLA | Su, Xiaokang,et al."Heat Health Risk and Adaptability Assessments at the Subdistrict Scale in Metropolitan Beijing".INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE (2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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