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美国人口普查 1998-2020年热应激指标.
Rouzbeh Rahai1, Qinqin Kong2, Timur Dogan3
1Department of Human Centered Design, College of Human Ecology, Cornell University, Ithaca, NY, USA. rr692@cornell.edu.
Scientific data
|February 25, 2026
概括
新的数据集提供每小时的热应激指标,如热量指数 (HI),湿球球体温度 (WBGT) 和全局热气候指数 (UTCI) 在美国人口普查区. 这项研究涉及极端高温暴露对公众健康的威胁.
科学领域:
- 环境科学环境科学
- 公共卫生 公共卫生
- 气候科学是气候科学.
背景情况:
- 极端高温暴露对公众健康构成重大风险.
- 传统的热量研究通常依赖于干泡温度,缺乏全面的热应力量化.
- 综合,空间显式数据集的有限可用性阻碍了与公共卫生相关的热应激研究.
研究的目的:
- 开发并提供高分辨率,每小时热应力数据集,用于连续的美国.
- 整合多个气象因素,以更准确地评估热应力.
- 为了使热应激数据与人口普查区级公共卫生信息之间有直接联系.
主要方法:
- 每小时生成的热量指数 (HI),湿球球体温度 (WBGT) 和通用热气候指数 (UTCI) 数据.
- 集成PRISM,ERA5-Land和NSRDB产品,重建近地表温度和湿度领域.
- 综合热应激指数用于用面积和人口加权方法统计路径边界.
主要成果:
- 提供每小时HI,WBGT和UTCI数据,用于1998-2020年美国人口普查区.
- 实现了稳定的验证性能,空气温度 (1.70°C),HI (3.20°C),WBGT (2.90°C) 和UTI (3.26°C) 的低根平均平方误差.
- 创建了空间明确的,与公共卫生相关的热应激数据集.
结论:
- 开发的数据集通过提供全面的热应激指标来填补热健康研究中的关键缺口.
- 这些每小时的通道级数据有助于详细分析热暴露对公共健康的影响.
- 这些发现支持改进的策略,以减轻与极端高温事件相关的风险.
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