Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi
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 °C in successive years. The identification and assessment of heat-hea...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/7/1590 |
| _version_ | 1797437877733294080 |
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| author | Xilin Wu Qingsheng Liu Chong Huang He Li |
| author_facet | Xilin Wu Qingsheng Liu Chong Huang He Li |
| author_sort | Xilin Wu |
| collection | DOAJ |
| description | 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 °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. |
| first_indexed | 2024-03-09T11:28:59Z |
| format | Article |
| id | doaj.art-ecd446a8dd5241e4a6577f94e0f6e98b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T11:28:59Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ecd446a8dd5241e4a6577f94e0f6e98b2023-11-30T23:56:09ZengMDPI AGRemote Sensing2072-42922022-03-01147159010.3390/rs14071590Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in KarachiXilin Wu0Qingsheng Liu1Chong Huang2He Li3State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaAs 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 °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.https://www.mdpi.com/2072-4292/14/7/1590heat waveheat health vulnerabilityH-AHPMFTmodel constructionKarachi |
| spellingShingle | Xilin Wu Qingsheng Liu Chong Huang He Li Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi Remote Sensing heat wave heat health vulnerability H-AHP MFT model construction Karachi |
| title | Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi |
| title_full | Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi |
| title_fullStr | Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi |
| title_full_unstemmed | Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi |
| title_short | Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi |
| title_sort | mapping heat health vulnerability based on remote sensing a case study in karachi |
| topic | heat wave heat health vulnerability H-AHP MFT model construction Karachi |
| url | https://www.mdpi.com/2072-4292/14/7/1590 |
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