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

机译:绘制山区老年人与热相关的健康风险图:以重庆为例

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摘要

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. (C) 2019 Elsevier B.V. All rights reserved.
机译:在气候变化,城市热岛和人口老龄化的背景下,热浪已成为全球与天气有关的疾病和死亡的主要原因。热健康风险评估是在风险治理框架内降低与热相关的发病率和死亡率的重要起点。重庆是中国人口老龄化速度最快的山区市镇,被选为以栅格比例绘制老年人口热健康风险的案例研究。结果表明,高热危害和人为暴露区域主要分布在大都市地区,这在很大程度上导致了城市地区的高热健康风险。然而,高热脆弱性像素主要集中在地形破碎和社会经济地位低下的偏远山区。与传统的一般性热风险指标相比,该新模型可以为决策者提供更具针对性的空间信息,并有助于提高热风险评估工具的灵活性和可比性。此外,这种新模型对于在开放访问数据有限的发展中国家量化热健康风险特别有价值。 (C)2019 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第1期|852-866|共15页
  • 作者单位

    Southwest Univ, Sch Geog Sci, 2 Tiansheng Rd, Chongqing 400715, Peoples R China|Res Ctr Urban & Reg Planning Southwest China, Chongqing 400715, Peoples R China;

    Chongqing Inst Surveying & Planning Land Resource, Chongqing 401121, Peoples R China|Chongqing Engn Res Ctr Land Use & Remote Sensing, Chongqing 401121, Peoples R China;

    Zhejiang Inst Meteorol Sci, Hangzhou 310017, Zhejiang, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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

    机译:热风险;老年人口;栅格规模;山区;发展中国家;重庆;
  • 入库时间 2022-08-18 04:15:54

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