Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019
Mounting evidence suggests an increasing heatwave risk in the Chinese mainland, posing notable threats to public health and the socioeconomic landscape. In a comprehensive analysis, considering both climate and socioeconomic factors, including Gross Domestic Product (GDP) and population dynamics, we...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/16/1/28 |
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| author | Wei Wu Qingsheng Liu He Li Chong Huang Weiming Cheng |
| author_facet | Wei Wu Qingsheng Liu He Li Chong Huang Weiming Cheng |
| author_sort | Wei Wu |
| collection | DOAJ |
| description | Mounting evidence suggests an increasing heatwave risk in the Chinese mainland, posing notable threats to public health and the socioeconomic landscape. In a comprehensive analysis, considering both climate and socioeconomic factors, including Gross Domestic Product (GDP) and population dynamics, we systematically evaluated the spatiotemporal distribution of heatwave socioeconomic exposure in the Chinese mainland from 2000 to 2019, utilizing a more comprehensive heatwave hazard index (HHI) that synthesizes heatwave intensity, frequency, and duration as climate factor for the first time. Results show that (1) Heatwave exposure is pronounced in eastern China, particularly in Southeast (SE), North China (NC), and Southwest (SW) regions. From 2000 to 2019, heatwave exposure showed an overall upward trend, with the most rapid escalation observed in the SE, NC, and SW regions. Population exposure manifests as a clustered expansion pattern, while GDP exposure demonstrates a more centralized distribution. (2) Climatic factors exert the most notable influence on population exposure, while GDP predominantly impacts economic exposure. The combination of climate and socioeconomic factors contributes less to exposure rates, except in the Northeast (NE) and Southwest (SW) regions where it impacts GDP exposure most. (3) High-risk hotspot cities include Shanghai, Beijing, Chongqing, Guangzhou, Wuhan, Zhengzhou, Hangzhou, Xi’an, Tianjin, and Nanjing. These findings underscore the urgent need for targeted interventions and mitigation strategies in these vulnerable areas. |
| format | Article |
| id | doaj-art-69a9c03329d94d90bc040131c7110585 |
| institution | Kabale University |
| issn | 2073-4433 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-69a9c03329d94d90bc040131c71105852025-01-24T13:21:45ZengMDPI AGAtmosphere2073-44332024-12-011612810.3390/atmos16010028Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019Wei Wu0Qingsheng Liu1He Li2Chong Huang3Weiming Cheng4State Key Laboratory of Resources and Environmental System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaMounting evidence suggests an increasing heatwave risk in the Chinese mainland, posing notable threats to public health and the socioeconomic landscape. In a comprehensive analysis, considering both climate and socioeconomic factors, including Gross Domestic Product (GDP) and population dynamics, we systematically evaluated the spatiotemporal distribution of heatwave socioeconomic exposure in the Chinese mainland from 2000 to 2019, utilizing a more comprehensive heatwave hazard index (HHI) that synthesizes heatwave intensity, frequency, and duration as climate factor for the first time. Results show that (1) Heatwave exposure is pronounced in eastern China, particularly in Southeast (SE), North China (NC), and Southwest (SW) regions. From 2000 to 2019, heatwave exposure showed an overall upward trend, with the most rapid escalation observed in the SE, NC, and SW regions. Population exposure manifests as a clustered expansion pattern, while GDP exposure demonstrates a more centralized distribution. (2) Climatic factors exert the most notable influence on population exposure, while GDP predominantly impacts economic exposure. The combination of climate and socioeconomic factors contributes less to exposure rates, except in the Northeast (NE) and Southwest (SW) regions where it impacts GDP exposure most. (3) High-risk hotspot cities include Shanghai, Beijing, Chongqing, Guangzhou, Wuhan, Zhengzhou, Hangzhou, Xi’an, Tianjin, and Nanjing. These findings underscore the urgent need for targeted interventions and mitigation strategies in these vulnerable areas.https://www.mdpi.com/2073-4433/16/1/28heatwavesocioeconomic exposureclimate changespatiotemporal distributionChinese mainland |
| spellingShingle | Wei Wu Qingsheng Liu He Li Chong Huang Weiming Cheng Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 Atmosphere heatwave socioeconomic exposure climate change spatiotemporal distribution Chinese mainland |
| title | Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 |
| title_full | Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 |
| title_fullStr | Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 |
| title_full_unstemmed | Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 |
| title_short | Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 |
| title_sort | mapping heatwave socioeconomic exposure in the chinese mainland for the period of 2000 2019 |
| topic | heatwave socioeconomic exposure climate change spatiotemporal distribution Chinese mainland |
| url | https://www.mdpi.com/2073-4433/16/1/28 |
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