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Sources and atmospheric dynamics of organic aerosol in New Delhi, India: insights from receptor modeling

机译:新德里有机气溶胶的来源和大气动态,印度新德里:受体建模的见解

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Delhi, India, is the second most populated city in the world and routinely experiences some of the highest particulate matter concentrations of any megacity on the planet, posing acute challenges to public health (World Health Organization,?2018). However, the current understanding of the sources and dynamics of PM?pollution in Delhi is limited. Measurements at the Delhi Aerosol Supersite?(DAS) provide long-term chemical characterization of ambient submicron aerosol in Delhi, with near-continuous online measurements of aerosol composition. Here we report on source apportionment based on positive matrix factorization?(PMF), conducted on 15?months of highly time-resolved speciated submicron non-refractory PM1 (NR-PM1) between January?2017 and March?2018. We report on seasonal variability across four seasons of?2017 and interannual variability using data from the two winters and springs of?2017 and?2018. We show that a modified tracer-based organic component analysis provides an opportunity for a real-time source apportionment approach for organics in Delhi. Phase equilibrium modeling of aerosols using the extended aerosol inorganics model?(E-AIM) predicts equilibrium gas-phase concentrations and allows evaluation of the importance of the ventilation coefficient?(VC) and temperature in controlling primary and secondary organic aerosol. We also find that primary aerosol dominates severe air pollution episodes, and secondary aerosol dominates seasonal averages.
机译:印度德里是世界上拥有的第二个最具人口稠密的城市,经常在地球上经历一些最高颗粒物质浓度,对公共卫生(世界卫生组织,2018年世界卫生组织(2018年)构成严重挑战。然而,目前对PM的来源和动态的理解?德里污染有限。德里气溶胶固溶物的测量(DAS)提供德里环境亚微米气溶胶的长期化学表征,具有近连续的气溶胶组合物的在线测量。在这里,我们根据正矩阵分解的源分摊报告?(PMF),在1月份在1月份(2017年1月)之间的高度时间分辨率的亚微米非难治性PM1(NR-PM1)的15个月内进行的(PMF)。我们在2017年四季的四季报告了季节性变异性,并使用来自两个冬季和2017年弹簧的数据的持续可变性以及2018年的弹簧。我们表明,修改了基于的基于示踪剂的有机成分分析为德里有机物进行了实时源分摊方法提供了机会。使用扩展气溶胶无机模型的气溶胶相平衡建模?(E-AIM)预测平衡气相浓度,并允许评估通风系数的重要性?(VC)和温度控制初级有机气溶胶中的温度。我们还发现,主要的气溶胶占主导着严重的空气污染事件,二次Aerosol主导季节性平均值。

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