Estimation of background concentration of ambient pollutants for Delhi NCT region

IF 3.5 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Atmospheric Pollution Research Pub Date : 2022-07-01 DOI:10.1016/j.apr.2022.101476
Rahul Chaurasia , Manju Mohan
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引用次数: 2

Abstract

The increased levels of ambient air pollution in Delhi are hazardous to human health and a matter of concern for policymakers. To develop effective regulatory policies, it is necessary to gain a better understanding of the regional background concentrations of pollutants. In the present study, we proposed a method to estimate regional background concentration for the Delhi NCT region. The study uses an integrated approach that employs meteorological filtering and statistical techniques. The meteorological filtering factored in the phenomena of stagnation caused by low wind speed and temperature inversion. Whereas spectral analysis and the Kolmogorov-Zurbenko (KZ) filter were used in combination to reduce the influence of synoptic fluctuation in the time series. Our estimated annual average background concentration for PM10, PM2.5, NO2, SO2 and CO are 56 μg/m3, 42 μg/m3, 18 μg/m3, 7 μg/m3 and 558 μg/m3 respectively. The estimated background concentrations were validated using the ambient pollutant concentration recorded during the 2020 Covid-19 lockdown period.

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德里NCT地区环境污染物背景浓度估算
德里环境空气污染水平的上升对人类健康有害,也是政策制定者关注的问题。为了制定有效的管制政策,有必要更好地了解污染物的区域背景浓度。在本研究中,我们提出了一种估算德里NCT地区区域背景浓度的方法。这项研究采用了一种综合的方法,采用了气象过滤和统计技术。气象过滤将低风速和逆温造成的停滞现象考虑在内。而将光谱分析与Kolmogorov-Zurbenko (KZ)滤波相结合,可以减小天气波动对时间序列的影响。我们估计PM10、PM2.5、NO2、SO2和CO的年平均背景浓度分别为56 μg/m3、42 μg/m3、18 μg/m3、7 μg/m3和558 μg/m3。利用2020年Covid-19封锁期间记录的环境污染物浓度验证了估计的背景浓度。
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来源期刊
Atmospheric Pollution Research
Atmospheric Pollution Research ENVIRONMENTAL SCIENCES-
CiteScore
8.30
自引率
6.70%
发文量
256
审稿时长
36 days
期刊介绍: Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.
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Editorial Board Editorial Board Editorial Board Chemical composition, source apportionment and formation mechanisms of PM2.5 in urban and background areas of northwestern China Integration of Sentinel-5P satellite data and machine learning for spatiotemporal prediction of NO2 in Delhi: Impacts of COVID-19 lockdown
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