State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Int J Environ Res Public Health. 2021 Nov 19;18(22):12153. doi: 10.3390/ijerph182212153.
As a highly important meteorological hazard, heat waves notably impact human health and socioeconomics, and accurate heat wave risk identification and assessment are effective ways to address this issue. The current spatial scale of heat wave risk assessment is relatively coarse, hardly meeting fine-scale heat wave risk assessment requirements. Therefore, based on multi-source fine-scale remote sensing data and socioeconomic data, this paper evaluates the heat wave risk along the Jakarta-Bandung high-speed railway, obtains the spatial distribution of heat wave risk in 2005, 2014 and 2019, and analyzes spatiotemporal risk variations over the past 15 years. The results show that most high-risk areas were affected by high-temperature hazards. Over time, the hazard, exposure, vulnerability and risk levels increased by 25.82%, 3.31%, 14.82% and 6.97%, respectively, from 2005-2019. Spatially, the higher risk in the northwest is mainly distributed in Jakarta. Additionally, a comparative analysis was conducted on the risk results, and the results showed that the 100-m scale showed more spatial differences than the kilometer scale. The research results in this paper can provide scientific advice on heat wave risk prevention considering the Jakarta-Bandung high-speed railway construction and regional economic and social development.
作为一种非常重要的气象灾害，热浪显著影响人类健康和社会经济，准确识别和评估热浪风险是解决这一问题的有效方法。当前热浪风险评估的空间尺度相对较粗，难以满足精细尺度热浪风险评估的要求。因此，本文基于多源精细尺度遥感数据和社会经济数据，评估了雅万高铁沿线的热浪风险，得到了 2005 年、2014 年和 2019 年的热浪风险空间分布，并分析了过去 15 年的时空风险变化。结果表明，大多数高风险地区受到高温危害的影响。随着时间的推移，危害、暴露、脆弱性和风险水平分别从 2005 年到 2019 年增加了 25.82%、3.31%、14.82%和 6.97%。从空间上看，西北部的高风险主要分布在雅加达。此外，还对风险结果进行了对比分析，结果表明 100 米尺度比千米尺度显示出更多的空间差异。本文的研究结果可为考虑雅万高铁建设和区域经济社会发展的热浪风险防范提供科学建议。
