{"title":"Estimation of background concentration of ambient pollutants for Delhi NCT region","authors":"Rahul Chaurasia , Manju Mohan","doi":"10.1016/j.apr.2022.101476","DOIUrl":null,"url":null,"abstract":"<div><p><span>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<span> 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, NO</span></span><sub>2</sub>, SO<sub>2</sub><span> and CO are 56 μg/m</span><sup>3</sup>, 42 μg/m<sup>3</sup>, 18 μg/m<sup>3</sup>, 7 μg/m<sup>3</sup> and 558 μg/m<sup>3</sup><span> respectively. The estimated background concentrations were validated using the ambient pollutant concentration recorded during the 2020 Covid-19 lockdown period.</span></p></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"13 7","pages":"Article 101476"},"PeriodicalIF":3.5000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1309104222001593","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.