粤港澳大湾区热浪和臭氧污染复合事件的时空分布和暴露风险

    Spatiotemporal distribution and exposure risks of compound heatwave and ozone pollution events in the Guangdong-Hong Kong-Macao Greater Bay Area, China

    • 摘要:
      目的 评估2000—2023年粤港澳大湾区热浪和臭氧污染复合事件(compound heatwave and ozone pollution events, CHOEs)的时空分布特征与人群暴露风险。
      方法 基于1 km×1 km高精度数据, 将CHOEs定义为同时发生热浪事件和臭氧污染事件, 从频率、持续时间与强度三方面量化其时空特征, 结合高精度人口数据计算人口暴露度, 分解人口暴露变化的事件因子、人口因子及其交互因子。
      结果 研究期间, 粤港澳大湾区CHOEs呈现显著的空间异质性和逐年增长趋势, 广州市、深圳市、东莞市为高影响区域。自2016年起CHOEs加速增长, 2019、2021和2022年尤为严重。事件高发期集中在7—9月, 各地高峰时段略有差异。人口因子与事件因子共同影响人口暴露风险上升, 不同区域各因子贡献不同。
      结论 粤港澳大湾区CHOEs日益频繁且强度持续增加, 人口暴露水平快速上升。不同区域的暴露变化受事件与人口因素交互驱动, 区域差异明显, 亟需制定因地制宜的应对措施和健康防护策略。

       

      Abstract:
      Objective To assess the spatiotemporal distribution characteristics and population exposure risks of compound heatwave and ozone pollution events (CHOEs) in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), China, from 2000 to 2023.
      Methods Based on high-resolution data (1 km×1 km), CHOEs were defined as the co-occurrence of heatwave and ozone pollution events. The frequency, duration, and intensity of the events were quantified to capture spatiotemporal patterns. Population exposure was calculated using high-resolution population data, and the contributions to changes in population exposure were decomposed into event factor, population factor, and their interaction factor.
      Results During the study period, CHOEs exhibited pronounced spatial heterogeneity and a significant upward trend by year across the GBA, with Guangzhou, Shenzhen, and Dongguan identified as high-impact areas. An accelerated increase in CHOEs was observed after 2016, with particularly substantial increases in 2019, 2021, and 2022. Most events occurred between July and September, though peak periods varied by location. Both the population factor and CHOEs contributed to the increase in population exposure, with factor contributions varying across regions.
      Conclusion CHOEs in the GBA are becoming more frequent and intense, accompanied by a rapid rise in population exposure. The changes in exposure across regions are jointly driven by the event factor and population factor, with significant regional differences. Therefore, it is urgent to develop region-specific response strategies and public health interventions.

       

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