Literature DB >> 30986739

Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies.

Cheng He1, Liang Ma2, Liguo Zhou3, HaiDong Kan4, Yan Zhang1, WeiChun Ma5, Bin Chen6.   

Abstract

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 30986739     DOI: 10.1016/j.envint.2019.01.057

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

Review 1.  A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units.

Authors:  Yanlin Niu; Zhichao Li; Yuan Gao; Xiaobo Liu; Lei Xu; Sotiris Vardoulakis; Yujuan Yue; Jun Wang; Qiyong Liu
Journal:  Curr Clim Change Rep       Date:  2021-04-27

2.  Relationship between urban morphology and land surface temperature-A case study of Nanjing City.

Authors:  Shusheng Yin; Jiatong Liu; Zenglin Han
Journal:  PLoS One       Date:  2022-02-09       Impact factor: 3.240

3.  The inequality labor loss risk from future urban warming and adaptation strategies.

Authors:  Cheng He; Yuqiang Zhang; Alexandra Schneider; Renjie Chen; Yan Zhang; Weichun Ma; Patrick L Kinney; Haidong Kan
Journal:  Nat Commun       Date:  2022-07-06       Impact factor: 17.694

4.  Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators.

Authors:  Ronald C Estoque; Makoto Ooba; Xerxes T Seposo; Takuya Togawa; Yasuaki Hijioka; Kiyoshi Takahashi; Shogo Nakamura
Journal:  Nat Commun       Date:  2020-03-27       Impact factor: 14.919

5.  Mapping Heat-Related Risks in Northern Jiangxi Province of China Based on Two Spatial Assessment Frameworks Approaches.

Authors:  Minxuan Zheng; Jiahua Zhang; Lamei Shi; Da Zhang; Til Prasad Pangali Sharma; Foyez Ahmed Prodhan
Journal:  Int J Environ Res Public Health       Date:  2020-09-10       Impact factor: 3.390

  5 in total

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