PM1 composition and source apportionment at two sites in Delhi, India, across multiple seasons

Air pollution in urban environments has been shown to have a negative impact on air quality and human health, particularly in megacities. Over recent decades, Delhi, India, has suffered high atmospheric pollution, with significant particulate matter (PM) concentrations as a result of anthropogenic a...

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Published inAtmospheric chemistry and physics Vol. 21; no. 15; pp. 11655 - 11667
Main Authors Reyes-Villegas, Ernesto, Panda, Upasana, Darbyshire, Eoghan, Cash, James M, Joshi, Rutambhara, Langford, Ben, Di Marco, Chiara F, Mullinger, Neil J, Alam, Mohammed S, Crilley, Leigh R, Rooney, Daniel J, Acton, W Joe F, Drysdale, Will, Nemitz, Eiko, Flynn, Michael, Voliotis, Aristeidis, McFiggans, Gordon, Coe, Hugh, Lee, James, Hewitt, C Nicholas, Heal, Mathew R, Gunthe, Sachin S, Mandal, Tuhin K, Gurjar, Bhola R, Shivani, Gadi, Ranu, Singh, Siddhartha, Soni, Vijay, Allan, James D
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 05.08.2021
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Abstract Air pollution in urban environments has been shown to have a negative impact on air quality and human health, particularly in megacities. Over recent decades, Delhi, India, has suffered high atmospheric pollution, with significant particulate matter (PM) concentrations as a result of anthropogenic activities. Organic aerosols (OAs) are composed of thousands of different chemical species and are one of the main constituents of submicron particles. However, quantitative knowledge of OA composition, their sources and their processes in urban environments is still limited. This is important particularly in India, as Delhi is a massive, inhomogeneous conurbation, where we would expect the apportionment and concentrations to vary depending on where in Delhi the measurements/source apportionment is performed, indicating the need for multisite measurements. This study presents the first multisite analysis carried out in India over different seasons, with a focus on identifying OA sources. The measurements were taken during 2018 at two sites in Delhi, India. One site was located at the India Meteorological Department, New Delhi (ND). The other site was located at the Indira Gandhi Delhi Technical University for Women, Old Delhi (OD). Non-refractory submicron aerosol (NR-PM1) concentrations (ammonium, nitrate, sulfate, chloride and organic aerosols) of four aerosol mass spectrometers were analysed. Collocated measurements of volatile organic compounds, black carbon, NOx and CO were performed. Positive matrix factorisation (PMF) analysis was performed to separate the organic fraction, identifying a number of conventional factors: hydrocarbon-like OAs (HOAs) related to traffic emissions, biomass burning OAs (BBOAs), cooking OAs (COAs) and secondary OAs (SOAs).A composition-based estimate of PM1 is defined by combining black carbon (BC) and NR-PM1 (C-PM1= BC + NR-PM1). No significant difference was observed in C-PM1 concentrations between sites, OD (142 ± 117 µg m-3) compared to ND (123 ± 71 µg m3), from post-monsoon measurements. A wider variability was observed between seasons, where pre-monsoon and monsoon showed C-PM1 concentrations lower than 60 µg m-3. A seasonal variation in C-PM1 composition was observed; SO42- showed a high contribution over pre-monsoon and monsoon seasons, while NO3- and Cl- had a higher contribution in winter and post-monsoon. The main primary aerosol source was from traffic, which is consistent with the PMF analysis and Aethalometer model analysis. Thus, in order to reduce PM1 concentrations in Delhi through local emission controls, traffic emission control offers the greatest opportunity. PMF–aerosol mass spectrometer (AMS) mass spectra will help to improve future aerosol source apportionment studies. The information generated in this study increases our understanding of PM1 composition and OA sources in Delhi, India. Furthermore, the scientific findings provide significant information to strengthen legislation that aims to improve air quality in India.
AbstractList Air pollution in urban environments has been shown to have a negative impact on air quality and human health, particularly in megacities. Over recent decades, Delhi, India, has suffered high atmospheric pollution, with significant particulate matter (PM) concentrations as a result of anthropogenic activities. Organic aerosols (OAs) are composed of thousands of different chemical species and are one of the main constituents of submicron particles. However, quantitative knowledge of OA composition, their sources and their processes in urban environments is still limited. This is important particularly in India, as Delhi is a massive, inhomogeneous conurbation, where we would expect the apportionment and concentrations to vary depending on where in Delhi the measurements/source apportionment is performed, indicating the need for multisite measurements. This study presents the first multisite analysis carried out in India over different seasons, with a focus on identifying OA sources. The measurements were taken during 2018 at two sites in Delhi, India. One site was located at the India Meteorological Department, New Delhi (ND). The other site was located at the Indira Gandhi Delhi Technical University for Women, Old Delhi (OD). Non-refractory submicron aerosol (NR-PM1) concentrations (ammonium, nitrate, sulfate, chloride and organic aerosols) of four aerosol mass spectrometers were analysed. Collocated measurements of volatile organic compounds, black carbon, NOx and CO were performed. Positive matrix factorisation (PMF) analysis was performed to separate the organic fraction, identifying a number of conventional factors: hydrocarbon-like OAs (HOAs) related to traffic emissions, biomass burning OAs (BBOAs), cooking OAs (COAs) and secondary OAs (SOAs).A composition-based estimate of PM1 is defined by combining black carbon (BC) and NR-PM1 (C-PM1= BC + NR-PM1). No significant difference was observed in C-PM1 concentrations between sites, OD (142 ± 117 µg m-3) compared to ND (123 ± 71 µg m3), from post-monsoon measurements. A wider variability was observed between seasons, where pre-monsoon and monsoon showed C-PM1 concentrations lower than 60 µg m-3. A seasonal variation in C-PM1 composition was observed; SO42- showed a high contribution over pre-monsoon and monsoon seasons, while NO3- and Cl- had a higher contribution in winter and post-monsoon. The main primary aerosol source was from traffic, which is consistent with the PMF analysis and Aethalometer model analysis. Thus, in order to reduce PM1 concentrations in Delhi through local emission controls, traffic emission control offers the greatest opportunity. PMF–aerosol mass spectrometer (AMS) mass spectra will help to improve future aerosol source apportionment studies. The information generated in this study increases our understanding of PM1 composition and OA sources in Delhi, India. Furthermore, the scientific findings provide significant information to strengthen legislation that aims to improve air quality in India.
Air pollution in urban environments has been shown to have a negative impact on air quality and human health, particularly in megacities. Over recent decades, Delhi, India, has suffered high atmospheric pollution, with significant particulate matter (PM) concentrations as a result of anthropogenic activities. Organic aerosols (OAs) are composed of thousands of different chemical species and are one of the main constituents of submicron particles. However, quantitative knowledge of OA composition, their sources and their processes in urban environments is still limited. This is important particularly in India, as Delhi is a massive, inhomogeneous conurbation, where we would expect the apportionment and concentrations to vary depending on where in Delhi the measurements/source apportionment is performed, indicating the need for multisite measurements. This study presents the first multisite analysis carried out in India over different seasons, with a focus on identifying OA sources. The measurements were taken during 2018 at two sites in Delhi, India. One site was located at the India Meteorological Department, New Delhi (ND). The other site was located at the Indira Gandhi Delhi Technical University for Women, Old Delhi (OD). Non-refractory submicron aerosol (NR-PM 1 ) concentrations (ammonium, nitrate, sulfate, chloride and organic aerosols) of four aerosol mass spectrometers were analysed. Collocated measurements of volatile organic compounds, black carbon, NO x and CO were performed. Positive matrix factorisation (PMF) analysis was performed to separate the organic fraction, identifying a number of conventional factors: hydrocarbon-like OAs (HOAs) related to traffic emissions, biomass burning OAs (BBOAs), cooking OAs (COAs) and secondary OAs (SOAs). A composition-based estimate of PM 1 is defined by combining black carbon (BC) and NR-PM 1 (C-PM 1=  BC  +  NR-PM 1 ). No significant difference was observed in C-PM 1 concentrations between sites, OD (142  ±  117  µ g m −3 ) compared to ND (123  ±  71  µ g m 3 ), from post-monsoon measurements. A wider variability was observed between seasons, where pre-monsoon and monsoon showed C-PM 1 concentrations lower than 60  µ g m −3 . A seasonal variation in C-PM 1 composition was observed; SO 4 2 - <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="13pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="68b04fae408a0dd5dd675e0ef9121343"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-21-11655-2021-ie00001.svg" width="13pt" height="17pt" src="acp-21-11655-2021-ie00001.png"/></svg:svg> showed a high contribution over pre-monsoon and monsoon seasons, while NO 3 - <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="9pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="f1e19cb84feec81dda2dcfcce1dcb451"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-21-11655-2021-ie00002.svg" width="9pt" height="16pt" src="acp-21-11655-2021-ie00002.png"/></svg:svg> and Cl − had a higher contribution in winter and post-monsoon. The main primary aerosol source was from traffic, which is consistent with the PMF analysis and Aethalometer model analysis. Thus, in order to reduce PM 1 concentrations in Delhi through local emission controls, traffic emission control offers the greatest opportunity. PMF–aerosol mass spectrometer (AMS) mass spectra will help to improve future aerosol source apportionment studies. The information generated in this study increases our understanding of PM 1 composition and OA sources in Delhi, India. Furthermore, the scientific findings provide significant information to strengthen legislation that aims to improve air quality in India.
Author Coe, Hugh
McFiggans, Gordon
Allan, James D
Drysdale, Will
Flynn, Michael
Darbyshire, Eoghan
Heal, Mathew R
Lee, James
Di Marco, Chiara F
Langford, Ben
Reyes-Villegas, Ernesto
Mullinger, Neil J
Panda, Upasana
Gurjar, Bhola R
Shivani
Acton, W Joe F
Gunthe, Sachin S
Rooney, Daniel J
Gadi, Ranu
Voliotis, Aristeidis
Hewitt, C Nicholas
Alam, Mohammed S
Mandal, Tuhin K
Cash, James M
Crilley, Leigh R
Joshi, Rutambhara
Singh, Siddhartha
Nemitz, Eiko
Soni, Vijay
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Snippet Air pollution in urban environments has been shown to have a negative impact on air quality and human health, particularly in megacities. Over recent decades,...
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SubjectTerms Aerosol concentrations
Aerosols
Air pollution
Air quality
Ammonium
Ammonium compounds
Anthropogenic factors
Apportionment
Biomass burning
Black carbon
Burning
Chemical speciation
Composition
Cooking
Emissions control
Human influences
Hydrocarbons
Legislation
Mass
Mass spectra
Mass spectrometers
Mass spectrometry
Megacities
Meteorology
Monsoons
Nitrogen compounds
Organic compounds
Oxides
Particulate emissions
Particulate matter
Principal components analysis
Seasonal variation
Seasonal variations
Seasons
Spectrometers
Suspended particulate matter
Traffic control
Urban environments
Vehicle emissions
VOCs
Volatile organic compounds
Wind
Women
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Title PM1 composition and source apportionment at two sites in Delhi, India, across multiple seasons
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