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      Sources of non-methane hydrocarbons in surface air in Delhi, India

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          Abstract

          Characterisation of the sources of non-methane volatile organic compounds in surface air in Delhi, India.

          Abstract

          Rapid economic growth and development have exacerbated air quality problems across India, driven by many poorly understood pollution sources and understanding their relative importance remains critical to characterising the key drivers of air pollution. A comprehensive suite of measurements of 90 non-methane hydrocarbons (NMHCs) (C 2–C 14), including 12 speciated monoterpenes and higher molecular weight monoaromatics, were made at an urban site in Old Delhi during the pre-monsoon (28-May to 05-Jun 2018) and post-monsoon (11 to 27-Oct 2018) seasons using dual-channel gas chromatography (DC-GC-FID) and two-dimensional gas chromatography (GC×GC-FID). Significantly higher mixing ratios of NMHCs were measured during the post-monsoon campaign, with a mean night-time enhancement of around 6. Like with NO x and CO, strong diurnal profiles were observed for all NMHCs, except isoprene, with very high NMHC mixing ratios between 35–1485 ppbv. The sum of mixing ratios of benzene, toluene, ethylbenzene and xylenes (BTEX) routinely exceeded 100 ppbv at night during the post-monsoon period, with a maximum measured mixing ratio of monoaromatic species of 370 ppbv. The mixing ratio of highly reactive monoterpenes peaked at around 6 ppbv in the post-monsoon campaign and correlated strongly with anthropogenic NMHCs, suggesting a strong non-biogenic source in Delhi. A detailed source apportionment study was conducted which included regression analysis to CO, acetylene and other NMHCs, hierarchical cluster analysis, EPA UNMIX 6.0, principal component analysis/absolute principal component scores (PCA/APCS) and comparison with NMHC ratios (benzene/toluene and i-/ n-pentane) in ambient samples to liquid and solid fuels. These analyses suggested the primary source of anthropogenic NMHCs in Delhi was from traffic emissions (petrol and diesel), with average mixing ratio contributions from Unmix and PCA/APCS models of 38% from petrol, 14% from diesel and 32% from liquified petroleum gas (LPG) with a smaller contribution (16%) from solid fuel combustion. Detailed consideration of the underlying meteorology during the campaigns showed that the extreme night-time mixing ratios of NMHCs during the post-monsoon campaign were the result of emissions into a very shallow and stagnant boundary layer. The results of this study suggest that despite widespread open burning in India, traffic-related petrol and diesel emissions remain the key drivers of gas-phase urban air pollution in Delhi.

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          Most cited references75

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          Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application

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                Author and article information

                Contributors
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                Journal
                FDISE6
                Faraday Discussions
                Faraday Discuss.
                Royal Society of Chemistry (RSC)
                1359-6640
                1364-5498
                March 24 2021
                2021
                : 226
                : 409-431
                Affiliations
                [1 ]Wolfson Atmospheric Chemistry Laboratories
                [2 ]Department of Chemistry
                [3 ]University of York
                [4 ]York
                [5 ]UK
                [6 ]Lancaster Environment Centre
                [7 ]Lancaster University
                [8 ]Lancaster
                [9 ]UK Centre for Ecology and Hydrology
                [10 ]Penicuik
                [11 ]Indira Gandhi Delhi Technical University for Women
                [12 ]New Delhi
                [13 ]India
                [14 ]Department of Earth and Environmental Sciences
                [15 ]The University of Manchester
                [16 ]Manchester
                Article
                10.1039/D0FD00087F
                33336656
                348cd799-a745-4c4d-bca7-4b834096dfbf
                © 2021

                http://creativecommons.org/licenses/by/3.0/

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