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DOI10.5194/acp-21-2837-2021
Improving regional air quality predictions in the Indo-Gangetic Plain - Case study of an intensive pollution episode in November 2017
Roozitalab B.; Carmichael G.R.; Guttikunda S.K.
发表日期2021
ISSN1680-7316
起始页码2837
结束页码2860
卷号21期号:4
英文摘要pThe Indo-Gangetic Plain (IGP) experienced an intensive air pollution episode during November 2017. Weather Research and Forecasting model coupled to Chemistry (WRF-Chem), a coupled meteorology-chemistry model, was used to simulate this episode. In order to capture PMspan classCombining double low line inline-formula 2.5/span peaks, we modified input chemical boundary conditions and biomass burning emissions. The Community Atmosphere Model with Chemistry (CAM-chem) and Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) global models provided gaseous and aerosol chemical boundary conditions, respectively. We also incorporated Visible Infrared Imaging Radiometer Suite (VIIRS) active fire points to fill in missing fire emissions in the Fire INventory from NCAR (FINN) and scaled by a factor of 7 for an 8 d period. Evaluations against various observations indicated the model captured the temporal trend very well although missed the peaks on 7, 8, and 10 November. Modeled aerosol composition in Delhi showed secondary inorganic aerosols (SIAs) and secondary organic aerosols (SOAs) comprised 30 % and 27 % of total PMspan classCombining double low line inline-formula 2.5/span concentration, respectively, during November, with a modeled span classCombining double low line inline-formula math xmlnsCombining double low line http://www.w3.org/1998/Math/MathML idCombining double low line M3 displayCombining double low line inline overflowCombining double low line scroll dspmathCombining double low line mathml mrow classCombining double low line chem mi mathvariantCombining double low line normal OC/mimo//momi mathvariantCombining double low line normal BC/mi/mrow/mathspansvg:svg xmlns:svgCombining double low line http://www.w3.org/2000/svg widthCombining double low line 40pt heightCombining double low line 14pt classCombining double low line svg-formula dspmathCombining double low line mathimg md5hashCombining double low line 0e8db53e9c0d0b4b72c0df7e7882df2e svg:image xmlns:xlinkCombining double low line http://www.w3.org/1999/xlink xlink:hrefCombining double low line acp-21-2837-2021-ie00001.svg widthCombining double low line 40pt heightCombining double low line 14pt srcCombining double low line acp-21-2837-2021-ie00001.png //svg:svg/span/span ratio of 2.72. Back trajectories showed agricultural fires in Punjab were the major source for extremely polluted days in Delhi. Furthermore, high concentrations above the boundary layers in vertical profiles suggested either the plume rise in the model released the emissions too high or the model did not mix the smoke down fast enough. Results also showed long-range-transported dust did not affect Delhi's air quality during the episode. Spatial plots showed averaged aerosol optical depth (AOD) of 0.58 (span classCombining double low line inline-formula 0.4/span) over November. The model AODs were biased high over central India and low over the eastern IGP, indicating improving emissions in the eastern IGP can significantly improve the air quality predictions. We also found high ozone concentrations over the domain, which indicates ozone should be considered in future air quality management strategies alongside particulate matter. © 2021 American Society of Mechanical Engineers (ASME). All rights reserved.
语种英语
scopus关键词aerosol; air quality; atmospheric chemistry; atmospheric modeling; atmospheric pollution; ozone; particulate matter; prediction; regional pattern; Gangetic Plain
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/247112
作者单位Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, United States; Chemical and Biochemical Engineering, University of Iowa, Iowa City, IA, United States; Urban Emissions, New Delhi, India
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GB/T 7714
Roozitalab B.,Carmichael G.R.,Guttikunda S.K.. Improving regional air quality predictions in the Indo-Gangetic Plain - Case study of an intensive pollution episode in November 2017[J],2021,21(4).
APA Roozitalab B.,Carmichael G.R.,&Guttikunda S.K..(2021).Improving regional air quality predictions in the Indo-Gangetic Plain - Case study of an intensive pollution episode in November 2017.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(4).
MLA Roozitalab B.,et al."Improving regional air quality predictions in the Indo-Gangetic Plain - Case study of an intensive pollution episode in November 2017".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.4(2021).
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