Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi
文献类型：期刊论文
| 作者 | Wu, Xilin1,2; Liu, Qingsheng1,3; Huang, Chong1; Li, He1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 14期号:7页码:20 |
| 关键词 | heat wave heat health vulnerability H-AHP MFT model construction Karachi |
| DOI | 10.3390/rs14071590 |
| 通讯作者 | Huang, Chong(huangch@lreis.ac.cn) |
| 英文摘要 | As a result of global climate change, the frequency and intensity of heat waves have increased significantly. According to the World Meteorological Organization (WMO), extreme temperatures in southwestern Pakistan have exceeded 54 degrees C in successive years. The identification and assessment of heat-health vulnerability (HHV) are important for controlling heat-related diseases and mortality. At present, heat waves have many definitions. To better describe the heat wave mortality risk, we redefine the heat wave by regarding the most frequent temperature (MFT) as the minimum temperature threshold for HHV for the first time. In addition, different indicators that serve as relevant evaluation factors of exposure, sensitivity and adaptability are selected to conduct a kilometre-level HHV assessment. The hesitant analytic hierarchy process (H-AHP) method is used to evaluate each index weight. Finally, we incorporate the weights into the data layers to establish the final HHV assessment model. The vulnerability in the study area is divided into five levels, high, middle-high, medium, middle-low and low, with proportions of 3.06%, 46.55%, 41.85%, 8.53% and 0%, respectively. Health facilities and urbanization were found to provide advantages for vulnerability reduction. Our study improved the resolution to describe the spatial heterogeneity of HHV, which provided a reference for more detailed model construction. It can help local government formulate more targeted control measures to reduce morbidity and mortality during heat waves. |
| WOS关键词 | ANALYTIC HIERARCHY PROCESS ; DROUGHT RISK-ASSESSMENT ; WAVE-RELATED MORTALITY ; NEW-YORK-CITY ; AIR-TEMPERATURE ; CLIMATE-CHANGE ; CASE-CROSSOVER ; INTERPOLATION ; SURFACE ; IMPACT |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA 20030302] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000780512000001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/173813]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Chong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Xilin,Liu, Qingsheng,Huang, Chong,et al. Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi[J]. REMOTE SENSING,2022,14(7):20. |
| APA | Wu, Xilin,Liu, Qingsheng,Huang, Chong,&Li, He.(2022).Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi.REMOTE SENSING,14(7),20. |
| MLA | Wu, Xilin,et al."Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi".REMOTE SENSING 14.7(2022):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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