评估数据产品暴露指标用于沙尘暴的流行病学研究
Kirk Hohsfield1,2, Claire Rowan3, Rohan D'Souza4
1Department of Epidemiology Colorado School of Public Health University of Colorado-Denver|Anschutz Medical Campus Aurora CO USA.
GeoHealth
|August 28, 2023
概括
美国的沙尘暴数据正在改善,哥白尼气候监测服务 (CAMS) 的指标显示,与现实世界的沙尘事件的相关性最强. 这增强了未来的健康研究.
科学领域:
- 大气科学与环境监测
- 公共卫生和流行病学
背景情况:
- 沙尘暴的频率正在增加,并且与不利的健康结果有关.
- 目前美国沙尘暴数据在覆盖,分辨率和准确性方面存在局限性,阻碍了研究.
- 美国沙尘暴的研究不足需要改善流行病学研究的数据.
研究的目的:
- 将四个公共尘埃相关数据产品的准确性与基于监测器的"黄金标准"数据集进行比较.
- 为了未来的健康研究,确定最可靠的指标来追踪美国的沙尘暴.
主要方法:
- 从NWS风暴数据库,MERRA-2,EPA的EQUATES (CMAQ) 和科珀尼克斯大气监测服务 (CAMS) 的尘埃指标与经过验证的基于监测的数据集进行比较.
- 专注于加利福尼亚州,内华达州,犹他州和亚利桑那州,这些地区的沙尘暴发生率很高.
- 提取和衍生指标,包括报告的风暴,PM10/PM2.5度和气溶类型;使用准二项式回归来评估关联.
主要成果:
- 哥白尼号大气监测服务 (CAMS) 的指标显示,与黄金标准的关联最强,其次是国家气象局 (NWS) 风暴数据库.
- 特定的CAMS指标,如尘埃气溶混合率和光学深度,产生了最高的标准化赔率比率.
- 该研究确定了CAMS的关键指标是未来沙尘暴研究中最有希望的.
结论:
- 公开可用的数据,特别是来自CAMS的数据,可以有效地代表美国的沙尘暴事件.
- 这些改进的指标为开发全面的尘暴数据库提供了基础.
- 机器学习对这些指标的未来应用将促进对沙尘暴对健康影响的长期流行病学研究.
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