Kaur Kamaljeet, Krall Jenna R, Ivey Cesunica, Holmes Heather A, Kelly Kerry E
Department of Chemical Engineering, University of Utah, Salt Lake City, Utah, USA.
Department of Global and Community Health, College of Public Health, George Mason University Fairfax, Virginia, USA.
Aerosol Sci Technol. 2024;58(11):1318-1332. doi: 10.1080/02786826.2024.2384921. Epub 2024 Aug 11.
Numerous studies rely on long-term PM speciation data from the EPA's Chemical Speciation Network (CSN), for example, to estimate health impacts or investigate the sources and transport of PM pollution. These studies rely on consistent, long-term time series measurements of PM species to draw conclusions about PM emissions sources and their health impacts. However, changes in contractors and associated methodological changes in 2015 and 2018 led to disruptions in the consistency of the CSN data, specifically, concentration discontinuities in the CSN time series for ions and elemental carbon (EC) from November 2015 to September 2018 and from October 2018 onward, respectively. To address the impact of these changes on downstream air quality and health analyses, this study developed correction factors by comparing collocated CSN measurements to measurements from the Interagency Monitoring of Protected Visual Environment (IMPROVE) network, which used consistent instrumentation and contractors throughout the study period. These correction factors reduced the discontinuities in the ions and EC concentration time series data, which could be critical for time series source apportionment receptor modeling, air pollution policy and accountability investigations, and health effect studies.
例如,许多研究依赖于美国环境保护局(EPA)化学形态监测网络(CSN)的长期颗粒物形态数据,以估计健康影响或调查颗粒物污染的来源和传输情况。这些研究依靠对颗粒物种类进行一致的长期时间序列测量,来得出关于颗粒物排放源及其健康影响的结论。然而,2015年和2018年承包商的变更以及相关方法的改变,导致了CSN数据一致性的中断,具体而言,分别在2015年11月至2018年9月以及2018年10月之后,CSN时间序列中离子和元素碳(EC)的浓度出现了间断。为了解决这些变化对下游空气质量和健康分析的影响,本研究通过将CSN的并置测量结果与受保护视觉环境跨部门监测(IMPROVE)网络的测量结果进行比较,制定了校正因子,该网络在整个研究期间使用了一致的仪器设备和承包商。这些校正因子减少了离子和EC浓度时间序列数据中的间断,这对于时间序列源解析受体模型、空气污染政策和问责调查以及健康影响研究可能至关重要。