School of Geographical Sciences, Southwest University, Chongqing 400715, China; Research Center of Urban and Regional Planning in Southwest China, Chongqing 400715, China.
Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 401121, China; Chongqing Engineering Research Center for Land Use and Remote Sensing Monitoring, Chongqing 401121, China.
Sci Total Environ. 2019 May 1;663:852-866. doi: 10.1016/j.scitotenv.2019.01.240. Epub 2019 Jan 22.
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.
在气候变化、城市热岛效应和人口老龄化的背景下，热浪已成为世界范围内与天气相关的疾病和死亡的主要原因。在风险管理框架内，对热健康风险进行评估是减少与热相关的发病率和死亡率的重要起点。重庆是中国老龄化速度较快的山地直辖市，选择该地区作为案例研究，旨在对老年人的热健康风险进行栅格尺度的制图。结果表明，高危险和高暴露区域主要分布在大都市区，这导致城市地区的热健康风险很高。然而，高脆弱性像素主要集中在地形破碎、社会经济地位较低的偏远山区。与传统的一般热风险指标相比，该新模型可为决策者提供更有针对性的空间信息，有助于提高热风险评估工具的灵活性和可比性。此外，对于数据开放程度有限的发展中国家，该新模型在量化热健康风险方面具有特别重要的价值。
