长江流域资源与环境 >> 2023, Vol. 32 >> Issue (2): 440-450.doi: 10.11870/cjlyzyyhj202302019

• 生态环境 • 上一篇    

长江经济带高温热浪时空特征及脆弱性评价

张玉星1,黄晓军1,2,3*,郑殿元1   

  1. (1.西北大学城市与环境学院,陕西 西安 710127;2.陕西省地表系统与环境承载力重点实验室,陕西 西安 710127;3.陕西西安城市生态系统定位观测研究站,陕西 西安 710127)
  • 出版日期:2023-02-20 发布日期:2023-03-09

Temporal and Spatial Characteristics of Heat Waves and Assessment of Vulnerability in the Yangtze River Economic Belt

ZHANG Yu-xing1, HUANG Xiao-jun1,2,3, ZHENG Dian-yuan1    

  1. (1.College of Urban and Environment Sciences, Northwest University, Xi′an 710127, China;2. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi′an 710127, China; 3. Shaanxi Xi′an Urban Forest Ecosystem Research Station, Xi′an 710127, China)
  • Online:2023-02-20 Published:2023-03-09

摘要: 在全球变暖的背景下,极端高温热浪事件愈发频繁和强烈,已严重威胁了人类健康与社会经济的可持续发展。利用气象数据和社会经济统计资料,建立高温强度、高温日数、热浪强度、热浪频次、热浪持续时间等高温热浪时空特征的量化指标,对长江经济带1 067个区县的高温热浪时空特征进行分析,同时构建“暴露度—敏感性—适应能力”的高温热浪脆弱性评估指标体系,进行了研究区域的高温热浪脆弱性评价,制作了高温热浪灾害脆弱性空间分布图,并进行了致脆类型分析,结果表明:(1)长江经济带的高温热浪事件高发地区的分布呈现出“一带一点”的空间分布特征;(2)长江经济带高温暴露指数呈现出明显的由东南向西北层级递减的趋势,而区域内的敏感性指数与适应能力指数的空间分布较为破碎,没有明显的空间集聚特征,高温热浪脆弱性指数空间集聚特征明显;(3)在致脆类型分析中,因适应能力不足导致脆弱性的区县占全部区县的67.4%,其次,高温暴露致脆型占24.5%,敏感性致脆的县域较少,仅占8.1%。西部地区脆弱性低且多为适应能力不足致脆,中、东部地区脆弱性高,多为高温暴露致脆。研究结果可为区域防范高温热浪灾害,提高应对高温热浪事件的适应能力提供科学参考。

Abstract: Extreme heat waves have become more frequent and intense as a result of global warming, posing a serious threat to human health and to the sustainability of society as a whole. Using meteorological data and social statistics, a set of quantitative indicators is developed to quantify the temporal and spatial characteristics of heatwaves across 1 067 counties within the Yangtze River Economic Belt, including high-temperature days, high-temperature intensity, heat wave frequency, heat wave duration and heat wave intensity. In addition, an evaluation index system based on “exposure-sensitivity-adaptability” is being conducted to assess the vulnerability to heat waves. Afterwards, a spatial distribution map of heat wave vulnerability is developed, and the causes of heat wave vulnerability are explored. Based on the results, it can be concluded that: (1) Events of high temperatures and heat waves within the Yangtze River Economic Belt appear to share a similar pattern of “one belt and one point”; (2) The exposure index to heat waves within the Yangtze River Economic Belt shows a clear tendency to decrease northwest to southeast, but the spatial distribution of the sensitivity and adaptability index within the region is fragmented. The vulnerability index exhibits a clear spatial agglomeration characteristic, despite the absence of obvious spatial agglomeration characteristics; (3) In the analysis of brittle types, 67.4% of the counties are vulnerable as a result of a lack of adaptive capacity, followed by 24.5% of the counties vulnerable due to extreme heat waves, and only 8.1% of the counties vulnerable due to sensitivity. In contrast to the west, which is less vulnerable and brittle due to a lack of adaptability, the eastern and central regions are more vulnerable and fragile as a result of high temperature exposure. Accordingly, the results of this study may provide a scientifically sound basis for preventing extreme heat wave disasters and increasing adaptability to heat wave events in the future.

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