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DOI10.1016/j.envint.2019.01.057
Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies
He, Cheng1,3,4; Ma, Liang2; Zhou, Liguo1,3; Kan, HaiDong4; Zhang, Yan1,3,4; Ma, WeiChun1,3,4; Chen, Bin2
发表日期2019
ISSN0160-4120
EISSN1873-6750
卷号127页码:573-583
英文摘要

Rapid urbanisation has altered the vulnerability of urban areas to heat wave disasters. There is an urgent need to identify the factors underlying the effect of heat waves on human health and the areas that are most vulnerable to heat waves. In this study, we plan to integrate indices associated with heat wave vulnerability based on meteorological observation data, remote sensing data and point of interest (POI) data; analyse the influence of urbanisation on the urban vulnerability environment; and explore the relationship between the vulnerability environment and heat-wave-related mortality. Finally, we attempt to map the spatial distribution of high heat-wave-related mortality risk based on the results of heat wave vulnerability study and artificial society. The results reveal that 1) there are differences in the influence of urbanisation on heat wave exposure, sensitivity and adaptability; 2) the exposure and sensitivity level effects on the lower limit of health impacts and the adaptability level effects on the upper limit of the health impact from heat wave in a given study area; and 3) areas vulnerable to the effects of heat waves are not confined to the city centre, which implies that residents living in suburban areas are also vulnerable to heat waves. Finally, this study not only explores the factors contributing to the impacts of heat waves but also describes the spatial distribution of the risk of disaster-associated mortality, thereby providing direct scientific guidance that can be used by cities to address heat wave disasters in the future.


WOS研究方向Environmental Sciences & Ecology
来源期刊ENVIRONMENT INTERNATIONAL
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/98816
作者单位1.Fudan Univ, Dept Environm Sci & Engn, Shanghai 200082, Peoples R China;
2.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Hunan, Peoples R China;
3.Fudan Univ, Big Data Inst Carbon Emiss & Environm Pollut, Shanghai, Peoples R China;
4.SIEC, 3663 Northern Zhongshan Rd, Shanghai 200062, Peoples R China
推荐引用方式
GB/T 7714
He, Cheng,Ma, Liang,Zhou, Liguo,et al. Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies[J],2019,127:573-583.
APA He, Cheng.,Ma, Liang.,Zhou, Liguo.,Kan, HaiDong.,Zhang, Yan.,...&Chen, Bin.(2019).Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies.ENVIRONMENT INTERNATIONAL,127,573-583.
MLA He, Cheng,et al."Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies".ENVIRONMENT INTERNATIONAL 127(2019):573-583.
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