{"title":"中国城市热相关死亡率预测:气候变化、城市化、社会经济适应和景观水平策略的作用","authors":"Xue Liu,Ming Hao,Yuyu Zhou,Yue Zhang,Ziheng Xu,Xiaojuan Liu,Yukun Gao,Rui Li,Han Zhang,Xia Li,Xiaoping Liu,Yuanzhi Yao","doi":"10.1289/ehp15010","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nPhysiological heat strain induced by extreme temperature in cities has led to significant heat-related deaths. Although socioeconomic adaptation is suggested to mitigate this issue, its effectiveness is limited. Conversely, there is a lack of comprehensive evaluation on the effectiveness of landscape level strategies for mitigating heat-related deaths.\r\n\r\nOBJECTIVES\r\nWe developed a comprehensive modeling framework to estimate the impacts of environmental stresses and mitigating strategies on heat-related deaths in China's cities from 2016 to 2055.\r\n\r\nMETHODS\r\nThe framework assesses future heat-related deaths through five experiments considering the influences of climate change, urbanization, socioeconomic adaptation, and landscape level strategies. We used extrapolated region-specific exposure-response functions (ERF) and recent advancement of geo-statistics for public health to generate urban patch level ERF curves. We used these curves, temperature and population data to generate future heat-related deaths with 1 km resolution and conducted 5,000 Monte Carlo simulations for uncertainty analysis.\r\n\r\nRESULTS\r\nOur analyses estimated that heat-related mortality will increase from 136.5±16.5 deaths per million in 2016 to 175.7±27.5 deaths per million in 2055 under SSP2-RCP4.5 (shared socioeconomic pathways-representative concentration pathways) scenario and from 140.0±21.4 deaths per million to 230.2±38.7 deaths per million under SSP5-RCP8.5 scenario, despite socioeconomic adaptation and landscape level strategies. Socioeconomic adaptation (reducing deaths by 18.4-64.1 per million) and landscape level strategies (reducing deaths by 45.6-51.3 per million) significantly mitigate heat-related deaths with varying effectiveness across different income levels. Specifically, in high-income cities with dense populations, landscape level strategies are 2.2-4.3 times more effective than socioeconomic adaptation. Within these cities, implementing the same landscape level strategies in the high-density urban centers lead to an additional reduction up to 4.9-6.8 death•km-2 compared to surrounding areas.\r\n\r\nDISCUSSION\r\nOur framework helps to systematically understand the effectiveness of landscape level strategies in reducing heat-related mortality. Future sustainable city management should prioritize landscape level strategies along with socioeconomic adaptation to support healthy and comfortable communities. https://doi.org/10.1289/EHP15010.","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":"81 1","pages":""},"PeriodicalIF":10.1000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Projections of heat-related mortality in Chinese cities: The roles of climate change, urbanization, socioeconomic adaptation, and landscape level strategies.\",\"authors\":\"Xue Liu,Ming Hao,Yuyu Zhou,Yue Zhang,Ziheng Xu,Xiaojuan Liu,Yukun Gao,Rui Li,Han Zhang,Xia Li,Xiaoping Liu,Yuanzhi Yao\",\"doi\":\"10.1289/ehp15010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nPhysiological heat strain induced by extreme temperature in cities has led to significant heat-related deaths. Although socioeconomic adaptation is suggested to mitigate this issue, its effectiveness is limited. Conversely, there is a lack of comprehensive evaluation on the effectiveness of landscape level strategies for mitigating heat-related deaths.\\r\\n\\r\\nOBJECTIVES\\r\\nWe developed a comprehensive modeling framework to estimate the impacts of environmental stresses and mitigating strategies on heat-related deaths in China's cities from 2016 to 2055.\\r\\n\\r\\nMETHODS\\r\\nThe framework assesses future heat-related deaths through five experiments considering the influences of climate change, urbanization, socioeconomic adaptation, and landscape level strategies. We used extrapolated region-specific exposure-response functions (ERF) and recent advancement of geo-statistics for public health to generate urban patch level ERF curves. We used these curves, temperature and population data to generate future heat-related deaths with 1 km resolution and conducted 5,000 Monte Carlo simulations for uncertainty analysis.\\r\\n\\r\\nRESULTS\\r\\nOur analyses estimated that heat-related mortality will increase from 136.5±16.5 deaths per million in 2016 to 175.7±27.5 deaths per million in 2055 under SSP2-RCP4.5 (shared socioeconomic pathways-representative concentration pathways) scenario and from 140.0±21.4 deaths per million to 230.2±38.7 deaths per million under SSP5-RCP8.5 scenario, despite socioeconomic adaptation and landscape level strategies. Socioeconomic adaptation (reducing deaths by 18.4-64.1 per million) and landscape level strategies (reducing deaths by 45.6-51.3 per million) significantly mitigate heat-related deaths with varying effectiveness across different income levels. Specifically, in high-income cities with dense populations, landscape level strategies are 2.2-4.3 times more effective than socioeconomic adaptation. Within these cities, implementing the same landscape level strategies in the high-density urban centers lead to an additional reduction up to 4.9-6.8 death•km-2 compared to surrounding areas.\\r\\n\\r\\nDISCUSSION\\r\\nOur framework helps to systematically understand the effectiveness of landscape level strategies in reducing heat-related mortality. Future sustainable city management should prioritize landscape level strategies along with socioeconomic adaptation to support healthy and comfortable communities. https://doi.org/10.1289/EHP15010.\",\"PeriodicalId\":11862,\"journal\":{\"name\":\"Environmental Health Perspectives\",\"volume\":\"81 1\",\"pages\":\"\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Perspectives\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1289/ehp15010\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Perspectives","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1289/ehp15010","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Projections of heat-related mortality in Chinese cities: The roles of climate change, urbanization, socioeconomic adaptation, and landscape level strategies.
BACKGROUND
Physiological heat strain induced by extreme temperature in cities has led to significant heat-related deaths. Although socioeconomic adaptation is suggested to mitigate this issue, its effectiveness is limited. Conversely, there is a lack of comprehensive evaluation on the effectiveness of landscape level strategies for mitigating heat-related deaths.
OBJECTIVES
We developed a comprehensive modeling framework to estimate the impacts of environmental stresses and mitigating strategies on heat-related deaths in China's cities from 2016 to 2055.
METHODS
The framework assesses future heat-related deaths through five experiments considering the influences of climate change, urbanization, socioeconomic adaptation, and landscape level strategies. We used extrapolated region-specific exposure-response functions (ERF) and recent advancement of geo-statistics for public health to generate urban patch level ERF curves. We used these curves, temperature and population data to generate future heat-related deaths with 1 km resolution and conducted 5,000 Monte Carlo simulations for uncertainty analysis.
RESULTS
Our analyses estimated that heat-related mortality will increase from 136.5±16.5 deaths per million in 2016 to 175.7±27.5 deaths per million in 2055 under SSP2-RCP4.5 (shared socioeconomic pathways-representative concentration pathways) scenario and from 140.0±21.4 deaths per million to 230.2±38.7 deaths per million under SSP5-RCP8.5 scenario, despite socioeconomic adaptation and landscape level strategies. Socioeconomic adaptation (reducing deaths by 18.4-64.1 per million) and landscape level strategies (reducing deaths by 45.6-51.3 per million) significantly mitigate heat-related deaths with varying effectiveness across different income levels. Specifically, in high-income cities with dense populations, landscape level strategies are 2.2-4.3 times more effective than socioeconomic adaptation. Within these cities, implementing the same landscape level strategies in the high-density urban centers lead to an additional reduction up to 4.9-6.8 death•km-2 compared to surrounding areas.
DISCUSSION
Our framework helps to systematically understand the effectiveness of landscape level strategies in reducing heat-related mortality. Future sustainable city management should prioritize landscape level strategies along with socioeconomic adaptation to support healthy and comfortable communities. https://doi.org/10.1289/EHP15010.
期刊介绍:
Environmental Health Perspectives (EHP) is a monthly peer-reviewed journal supported by the National Institute of Environmental Health Sciences, part of the National Institutes of Health under the U.S. Department of Health and Human Services. Its mission is to facilitate discussions on the connections between the environment and human health by publishing top-notch research and news. EHP ranks third in Public, Environmental, and Occupational Health, fourth in Toxicology, and fifth in Environmental Sciences.