Literature DB >> 30738265

Mapping heat-related health risks of elderly citizens in mountainous area: A case study of Chongqing, China.

Wei Zhang1, Caigui Zheng2, Feng Chen3.   

Abstract

Heat wave becomes a leading cause of weather-related illness and death across the world under the background of climate change, urban heat island, and population ageing. Heat health risk assessment is an important starting point for heat-related morbidity and mortality reduction within the risk governance framework. Chongqing, a mountainous municipality with a fast rate of population ageing in China, was selected as a case study for mapping the heat health risk of the elderly population at a raster scale. The results indicated that the high heat hazard and human exposure areas were mainly distributed in the metropolitan areas, which largely resulted in high heat health risk in the urban areas. However, the high heat vulnerability pixels were mainly concentrated at the remote mountainous regions which have broken terrains and low socioeconomic statuses. Compared with traditional general heat risk indicator, this new model can provide more targeted spatial information to decision makers, and is helpful to improve the flexibility and comparability of heat risk assessment tool. Furthermore, this new model is particularly valuable for quantifying heat health risk in developing countries with limited open access data.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chongqing; Developing countries; Elderly population; Heat risk; Mountainous area; Raster scale

Mesh:

Year:  2019        PMID: 30738265     DOI: 10.1016/j.scitotenv.2019.01.240

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Spatiotemporal Variation Analysis of the Fine-Scale Heat Wave Risk along the Jakarta-Bandung High-Speed Railway in Indonesia.

Authors:  Xin Dai; Qingsheng Liu; Chong Huang; He Li
Journal:  Int J Environ Res Public Health       Date:  2021-11-19       Impact factor: 3.390

2.  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

3.  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

  3 in total

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