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  Compositional Constraints are Vital for Atmospheric PM2.5Source Attribution over India

Pai, S. J., Heald, C. L., Coe, H., Brooks, J., Shephard, M. W., Dammers, E., Apte, J. S., Luo, G., Yu, F., Holmes, C. D., Venkataraman, C., Sadavarte, P., Tibrewal, K. (2022 online): Compositional Constraints are Vital for Atmospheric PM2.5Source Attribution over India. - ACS earth and space chemistry.
https://doi.org/10.1021/acsearthspacechem.2c00150

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 Urheber:
Pai, Sidhant J.1, Autor
Heald, Colette L.1, Autor
Coe, Hugh1, Autor
Brooks, James1, Autor
Shephard, Mark W.1, Autor
Dammers, Enrico1, Autor
Apte, Joshua S.1, Autor
Luo, Gan1, Autor
Yu, Fangqun1, Autor
Holmes, Christopher D.1, Autor
Venkataraman, Chandra1, Autor
Sadavarte, Pankaj2, Autor              
Tibrewal, Kushal1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2IASS Institute for Advanced Sustainability Studies Potsdam, ou_96022              

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Schlagwörter: air pollution, speciated aerosols, PM2.5 source attribution, satellite measurements, India
 Zusammenfassung: India experiences some of the highest levels of ambient PM2.5 aerosol pollution in the world. However, due to the historical dearth of in situ measurements, chemical transport models that are often used to estimate PM2.5 exposure over the region are rarely evaluated. Here, we conduct a novel model comparison with speciated airborne measurements of fine aerosol, revealing large biases in the ammonium and nitrate simulations. To address this, we incorporate process-level changes to the model and use satellite observations from the Cross-track Infrared Sounder (CrIS) and the TROPOspheric Monitoring Instrument (TROPOMI) to constrain ammonia and nitrogen oxide emissions. The resulting simulation demonstrates significantly lower bias (NMBModified: 0.19; NMBBase: 0.61) when validated against the airborne aerosol measurements, particularly for the nitrate (NMBModified: 0.08; NMBBase: 1.64) and ammonium simulation (NMBModified: 0.49; NMBBase: 0.90). We use this validated simulation to estimate a population-weighted annual PM2.5 exposure of 61.4 μg m–3, with the RCO (residential, commercial, and other) and energy sectors contributing 21% and 19%, respectively, resulting in an estimated 961,000 annual PM2.5-attributable deaths. Regional exposure and sectoral source contributions differ meaningfully in the improved simulation (compared to the baseline simulation). Our work highlights the critical role of speciated observational constraints in developing accurate model-based PM2.5 aerosol source attribution for health assessments and air quality management in India.

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Sprache(n): eng - Englisch
 Datum: 2022-092022-09-16
 Publikationsstatus: Online veröffentlicht
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 Identifikatoren: DOI: 10.1021/acsearthspacechem.2c00150
OATYPE: Hybrid Open Access
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Titel: ACS earth and space chemistry
Genre der Quelle: Zeitschrift, E14, SCI, Scopus
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Ort, Verlag, Ausgabe: Washington, DC : ACS Publications
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: ISSN: 2472-3452
CoNE: https://publications.rifs-potsdam.de/cone/journals/resource/20220930a