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在洛杉矶盆地十个地点进行的两次 (2012-2013年和2018-2019年) 采样活动中,污染源贡献的空间变化

Ivana Stanimirova¹, David Q Rich², Armistead G Russell³

¹Institute of Chemistry, University of Silesia in Katowice, Katowice, 40-006, Poland; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.

Environmental pollution (Barking, Essex : 1987)

|May 29, 2024

概括

这项研究使用PMF分析了南加州的PM2.5来源. 汽油车辆是最大的贡献者,而野火烟雾 (富含OP) 显示出最多的空间变化.

科学领域:

环境科学环境科学
大气化学大气化学
空气质量监测空气质量监测

背景情况:

颗粒物 (PM2.5) 对健康构成重大风险.
了解PM2.5来源对于有效的空气质量管理至关重要.
南海岸空气盆地 (SCAB) 经历了复杂的空气污染动态.

研究的目的:

评估SCAB中十个地点的PM2.5来源贡献的空间变异性.
通过正矩阵分解 (PMF) 识别和量化主要的PM2.5来源.
为了比较多重空气毒素暴露研究 (MATES) 的两个采样期 (2012/13年和2018/19年) 的来源贡献.

主要方法:

利用了来自MATES活动的PM2.5组成数据.
应用正矩阵分解 (PMF) 来识别八种不同的污染源.
分析了使用相关系数,确定系数和分歧的源贡献的空间分布.

主要成果:

确定了八个PM2.5来源:汽油车辆,老海盐,生物质燃烧,二次酸盐,二次硫酸盐,柴油车辆,土壤/道路灰尘和富含OP的物质.
"汽油汽车"的排放是PM2.5质量的最大贡献者.
"富含OP"来源显示出与野火影响相关的最高空间变异性,而"二级硫酸盐"和"老海盐"在2012/13年显示出最少的变异性.

结论:

PM2.5来源的贡献在SCAB中显示出显著的空间变化.
野火烟雾 (富含OP) 和车辆排放是PM2.5.5空间差异的主要驱动因素.
像内陆谷和鲁比杜斯这样的特定地点由于其地理特征而显示出独特的来源贡献模式.

关键词:

多次对空气有毒物质的暴露在PM中{2.5)来源分配的分配方式南海岸的空气流域

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