A novel integrated socio-ecological-economic index for assessing heat health risk

Extreme heat events caused by climate change and rapid urbanization are major environmental issues affecting the health of urban populations, especially in metropolitan areas. However, few studies have employed a systematic risk assessment model to delineate heat health risk (HHR) in rapidly urbaniz...

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Main Authors: Xihan Yao, Shan Jin, Zhuohui Zhao, Ranhao Sun, Chunfang Wang, Zhaowu Yu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24012974
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author Xihan Yao
Shan Jin
Zhuohui Zhao
Ranhao Sun
Chunfang Wang
Zhaowu Yu
author_facet Xihan Yao
Shan Jin
Zhuohui Zhao
Ranhao Sun
Chunfang Wang
Zhaowu Yu
author_sort Xihan Yao
collection DOAJ
description Extreme heat events caused by climate change and rapid urbanization are major environmental issues affecting the health of urban populations, especially in metropolitan areas. However, few studies have employed a systematic risk assessment model to delineate heat health risk (HHR) in rapidly urbanizing metropolitan areas at a finer resolution, and rare studies have used epidemiological approaches for validation, as mortality is typically considered the most crucial indicator for assessing health impact. Here, a novel integrated socio-ecological-economic index (SEEI) was used to analyze the spatial distribution and evolution of HHR with a neighborhood resolution in Shanghai from 2000 to 2020, and four heat-related mortality indicators were applied to validate. The results showed that (1) the spatial distribution of the SEEI in Shanghai exhibited significant differences between urban and suburban areas, with the main urban areas having an average SEEI 2–3 times higher than suburban areas. (2) Overall, the SEEI peaked in 2010 and declined in 2020, with very high-risk neighborhoods decreasing from seven in 2000 to none in 2020. However, there was a slight trend towards a wider range of moderate-risk neighborhoods. (3) The heat-related mortality indicators exhibited significant correlations with SEEI, demonstrating the reliability of the SEEI as also confirmed by sensitivity analysis. The SEEI used in this study can provide a basis for decision-making for Shanghai as well as similar metropolitan areas to prevent extreme heat events.
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publishDate 2024-12-01
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series Ecological Indicators
spelling doaj-art-b3678ad1d0064d97a0e4037251635a652024-12-16T05:35:11ZengElsevierEcological Indicators1470-160X2024-12-01169112840A novel integrated socio-ecological-economic index for assessing heat health riskXihan Yao0Shan Jin1Zhuohui Zhao2Ranhao Sun3Chunfang Wang4Zhaowu Yu5Department of Environmental Science and Engineering, Fudan University, 200438, Shanghai, ChinaDepartment of Vital Statistics, Division of Health Information, Shanghai Municipal Center for Disease Control and Prevention, 200336, Shanghai, ChinaSchool of Public Health, Fudan University, Shanghai 200032, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaDepartment of Vital Statistics, Division of Health Information, Shanghai Municipal Center for Disease Control and Prevention, 200336, Shanghai, ChinaDepartment of Environmental Science and Engineering, Fudan University, 200438, Shanghai, China; Corresponding author.Extreme heat events caused by climate change and rapid urbanization are major environmental issues affecting the health of urban populations, especially in metropolitan areas. However, few studies have employed a systematic risk assessment model to delineate heat health risk (HHR) in rapidly urbanizing metropolitan areas at a finer resolution, and rare studies have used epidemiological approaches for validation, as mortality is typically considered the most crucial indicator for assessing health impact. Here, a novel integrated socio-ecological-economic index (SEEI) was used to analyze the spatial distribution and evolution of HHR with a neighborhood resolution in Shanghai from 2000 to 2020, and four heat-related mortality indicators were applied to validate. The results showed that (1) the spatial distribution of the SEEI in Shanghai exhibited significant differences between urban and suburban areas, with the main urban areas having an average SEEI 2–3 times higher than suburban areas. (2) Overall, the SEEI peaked in 2010 and declined in 2020, with very high-risk neighborhoods decreasing from seven in 2000 to none in 2020. However, there was a slight trend towards a wider range of moderate-risk neighborhoods. (3) The heat-related mortality indicators exhibited significant correlations with SEEI, demonstrating the reliability of the SEEI as also confirmed by sensitivity analysis. The SEEI used in this study can provide a basis for decision-making for Shanghai as well as similar metropolitan areas to prevent extreme heat events.http://www.sciencedirect.com/science/article/pii/S1470160X24012974Heat health riskSocio-ecological-economicHeat-related mortalityNeighborhood scaleExtreme heat
spellingShingle Xihan Yao
Shan Jin
Zhuohui Zhao
Ranhao Sun
Chunfang Wang
Zhaowu Yu
A novel integrated socio-ecological-economic index for assessing heat health risk
Ecological Indicators
Heat health risk
Socio-ecological-economic
Heat-related mortality
Neighborhood scale
Extreme heat
title A novel integrated socio-ecological-economic index for assessing heat health risk
title_full A novel integrated socio-ecological-economic index for assessing heat health risk
title_fullStr A novel integrated socio-ecological-economic index for assessing heat health risk
title_full_unstemmed A novel integrated socio-ecological-economic index for assessing heat health risk
title_short A novel integrated socio-ecological-economic index for assessing heat health risk
title_sort novel integrated socio ecological economic index for assessing heat health risk
topic Heat health risk
Socio-ecological-economic
Heat-related mortality
Neighborhood scale
Extreme heat
url http://www.sciencedirect.com/science/article/pii/S1470160X24012974
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