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在 COVID-19 封锁期间,气象学和化学在确定印度城市空气污染物水平方面的重要性。

Importance of meteorology and chemistry in determining air pollutant levels during COVID-19 lockdown in Indian cities.

机构信息

Department of Chemistry, York University, Toronto, ON, Canada.

出版信息

Environ Sci Process Impacts. 2021 Nov 17;23(11):1718-1728. doi: 10.1039/d1em00187f.

DOI:10.1039/d1em00187f
PMID:34734948
Abstract

Indian cities can experience severe air pollution, and the reduction in activity during the first national COVID-19 lockdown (2020) offered a natural experiment to study the contribution of local sources. The current work aimed to quantify the changes due to the lockdown in NO, O and PM in two contrasting cities in India (Delhi and Hyderabad) using a boosted regression tree model to account for the influence of meteorology. The median NO and PM concentrations were observed to decrease after lockdown in both cities, up to 57% and 75% for PM and NO, respectively when compared to previous years. After normalization due to meteorology the calculated reduction after lockdown for PM was small (<8%) in both cities, and was likely less attributable to changes in local emissions, but rather due changes in background levels ( regional source(s)). The reduction of NO due to lockdown varied by site (on average 5-30%), likely reflecting differences in relative proximity of local sources to the monitoring site, demonstrating the key influence of meteorology on ambient levels post-lockdown. Ozone was observed to increase after lockdown at both sites in Delhi, likely due to changes in relative amounts of precursor concentrations promoting ozone production, suggesting a volatile organic compound (VOC)-limited regime in Delhi. Thus, the calculated reduction in air pollutants due to lockdown in the current work cannot be extrapolated to be solely from a reduction in emissions and instead reflects the overall change in ambient levels, as meteorology and atmospheric chemical processes also contributed.

摘要

印度城市可能会经历严重的空气污染,而 2020 年全国首次 COVID-19 封锁期间的活动减少为研究本地来源的贡献提供了一个自然实验。本研究旨在使用增强回归树模型来量化印度两个对比城市(德里和海得拉巴)在封锁期间由于 NO、O 和 PM 变化,该模型考虑了气象的影响。结果发现,与前几年相比,这两个城市的 NO 和 PM 浓度在封锁后中位数均有所下降,分别达到 57%和 75%。在归一化后,由于气象因素,两个城市的 PM 浓度下降幅度均较小(<8%),这可能不是由于本地排放的变化,而是由于背景水平(区域源)的变化。由于封锁导致的 NO 浓度下降因地点而异(平均为 5-30%),这可能反映了本地源与监测点相对接近程度的差异,表明气象对封锁后环境水平的关键影响。在德里的两个站点,封锁后臭氧浓度均有所增加,这可能是由于促进臭氧生成的前体浓度相对量的变化所致,这表明德里处于挥发性有机化合物(VOC)限制的状态。因此,目前研究工作中由于封锁导致的空气污染物的减少不能仅归因于排放量的减少,而是反映了环境水平的整体变化,因为气象和大气化学过程也有贡献。

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