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

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PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons. / Reyes-Villegas, Ernesto; Panda, Upasana; Darbyshire, Eoghan et al.
In: Atmospheric Chemistry and Physics , Vol. 21, 05.08.2021, p. 11655-11667.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Reyes-Villegas, E, Panda, U, Darbyshire, E, Cash, JM, Joshi, R, Langford, B, Di Marco, CF, Mullinger, N, Acton, WJF, Drysdale, W, Nemitz, E, Flynn, M, Voliotis, A, McFiggans, G, Coe, H, Lee, J, Hewitt, CN, Heal, MR, Gunthe, SS, Shivani, Gadi, R, Singh, S, Soni, V & Allan, J 2021, 'PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons', Atmospheric Chemistry and Physics , vol. 21, pp. 11655-11667. https://doi.org/10.5194/acp-2020-894, https://doi.org/10.5194/acp-21-11655-2021

APA

Reyes-Villegas, E., Panda, U., Darbyshire, E., Cash, J. M., Joshi, R., Langford, B., Di Marco, C. F., Mullinger, N., Acton, W. J. F., Drysdale, W., Nemitz, E., Flynn, M., Voliotis, A., McFiggans, G., Coe, H., Lee, J., Hewitt, C. N., Heal, M. R., Gunthe, S. S., ... Allan, J. (2021). PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons. Atmospheric Chemistry and Physics , 21, 11655-11667. https://doi.org/10.5194/acp-2020-894, https://doi.org/10.5194/acp-21-11655-2021

Vancouver

Reyes-Villegas E, Panda U, Darbyshire E, Cash JM, Joshi R, Langford B et al. PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons. Atmospheric Chemistry and Physics . 2021 Aug 5;21:11655-11667. doi: 10.5194/acp-2020-894, 10.5194/acp-21-11655-2021

Author

Reyes-Villegas, Ernesto ; Panda, Upasana ; Darbyshire, Eoghan et al. / PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons. In: Atmospheric Chemistry and Physics . 2021 ; Vol. 21. pp. 11655-11667.

Bibtex

@article{bdb086f4d9da432da081a55a34a646ed,
title = "PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons",
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; SO2−4 showed a high contribution over pre-monsoon and monsoon seasons, while NO−3 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.",
author = "Ernesto Reyes-Villegas and Upasana Panda and Eoghan Darbyshire and Cash, {James M.} and Rutambhara Joshi and Ben Langford and {Di Marco}, {Chiara F.} and Neil Mullinger and Acton, {W. Joe F.} and Will Drysdale and Eiko Nemitz and Michael Flynn and Aristeidis Voliotis and Gordon McFiggans and Hugh Coe and James Lee and Hewitt, {C N} and Heal, {Mathew R.} and Gunthe, {Sachin S.} and Shivani and Ranu Gadi and Siddhartha Singh and Vijay Soni and James Allan",
year = "2021",
month = aug,
day = "5",
doi = "10.5194/acp-2020-894",
language = "English",
volume = "21",
pages = "11655--11667",
journal = "Atmospheric Chemistry and Physics ",
issn = "1680-7316",
publisher = "Copernicus GmbH (Copernicus Publications) on behalf of the European Geosciences Union (EGU)",

}

RIS

TY - JOUR

T1 - PM1 composition and source apportionment at two sites in Delhi, India across multiple seasons

AU - Reyes-Villegas, Ernesto

AU - Panda, Upasana

AU - Darbyshire, Eoghan

AU - Cash, James M.

AU - Joshi, Rutambhara

AU - Langford, Ben

AU - Di Marco, Chiara F.

AU - Mullinger, Neil

AU - Acton, W. Joe F.

AU - Drysdale, Will

AU - Nemitz, Eiko

AU - Flynn, Michael

AU - Voliotis, Aristeidis

AU - McFiggans, Gordon

AU - Coe, Hugh

AU - Lee, James

AU - Hewitt, C N

AU - Heal, Mathew R.

AU - Gunthe, Sachin S.

AU - Shivani,

AU - Gadi, Ranu

AU - Singh, Siddhartha

AU - Soni, Vijay

AU - Allan, James

PY - 2021/8/5

Y1 - 2021/8/5

N2 - 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; SO2−4 showed a high contribution over pre-monsoon and monsoon seasons, while NO−3 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.

AB - 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; SO2−4 showed a high contribution over pre-monsoon and monsoon seasons, while NO−3 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.

U2 - 10.5194/acp-2020-894

DO - 10.5194/acp-2020-894

M3 - Journal article

VL - 21

SP - 11655

EP - 11667

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

ER -