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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 gasphase 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:新德里,印度,是世界第二人口最多的城市,经常遇到一些地球上任何大城市的最高颗粒物浓度的,构成严峻挑战公众健康(世界卫生组织,2018)。然而,来源和PM污染德里的动态电流的理解是有限的。在新德里气溶胶Supersite(DAS)测量提供的环境亚微米气溶胶长期化学表征在Delhi,与气溶胶组合物的接近连续的在线测量。在这里,我们基于正矩阵分解(PMF),在15个月进行了源解析报告高度时间分辨2017年1月和2018年三月之间speciated亚微米非耐火PM1(NR-PM1)我们跨越四季的季节变化报告的2017以及使用来自所述两个冬天和2017和2018的弹簧我们表明,一个改性的示踪剂的有机成分分析提供了一种用于在德里有机物实时源解析方法的机会数据际变化。使用扩展的气雾剂无机物模型气溶胶相平衡建模(E-AIM)预测平衡气相浓度和允许的换气系数(VC)和温度的重要性评价在控制初级和次级有机气溶胶。我们还发现,主要气溶胶占主导地位严重的空气污染事件,以及二次气溶胶占主导地位的季节性平均水平。

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