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关于野火特定细颗粒物质的科学现状审查数据来源,方法和模型

Ava Orr^1,2, Claire E Adam¹, Jon Graham^1,3

¹Center for Population Health Research, University of Montana, Missoula, Montana, USA.

Environmental health perspectives

|May 5, 2025

概括

越来越多的野火频率增加了细颗粒物 (PM2.5) 的健康风险. 本次审查评估了PM2.5估计方法,发现有限的数据阻碍了准确的健康影响评估.

科学领域:

环境健康科学环境健康科学
大气科学大气科学
公共卫生公共卫生

背景情况:

由于气候变化,野火的频率和强度正在增加,造成严重的健康风险.
准确估计野火产生的细颗粒物 (PM2.5) 对健康研究和政策至关重要.
现有的减少工业污染的努力被越来越多的野火影响所掩盖.

研究的目的:

审查和评估用于估计野火产生的PM2.5.5的方法和数据源.
改善野火PM2.5数据的准确性和可访问性,用于卫生研究和政策.
为了比较野火PM2.5估计的公开可用的数据集.

主要方法:

在多个数据库中进行系统的文献搜索 (2018年1月-2024年3月).
纳入标准:公开可用,北美重点,野火可归因的PM2.5数据.
在邮政编码层面使用R进行数据分析,检查相关性和因果关系.

主要成果:

确定了三个主要的估计方法:化学提取,值和数据集成.
野火PM2.5的贡献有所不同:加利福尼亚州的11.2%-36.9% (2010) 和13.7%-21.2% (2018).
数据集之间的相关性在监视器较少的地区和高火灾活动期间更强.

结论:

野火烟雾对PM2.5的贡献随着火灾活动而增加.
有限的公开数据集限制了全面的比较和健康研究.
为了有效地评估野火影响,需要进一步开发可访问的数据源.

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