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DOI10.1016/j.atmosenv.2020.117581
A 5.5-year observations of black carbon aerosol at a megacity in Central China: Levels, sources, and variation trends
Zheng H.; Kong S.; Zheng M.; Yan Y.; Yao L.; Zheng S.; Yan Q.; Wu J.; Cheng Y.; Chen N.; Bai Y.; Zhao T.; Liu D.; Zhao D.; Qi S.
发表日期2020
ISSN1352-2310
卷号232
英文摘要After releasing the Air Pollution Prevention Control and Action Plan (APPC) in China since 2013, the role of source emission control strategies and meteorological conditions on the reduction of air pollutants has received wide attention. Using an Aethalometer (AE31), equivalent black carbon (eBC) was monitored for 5.5-year after the APPC at Wuhan, a megacity in Central China, to identify its levels, sources, and variations trends. eBC varied in the range of 0.03–12.3 μg m−3, with the highest and lowest values in January (1.98 ± 1.70 μg m−3) and July (0.87 ± 0.61 μg m−3), respectively. The Kolmogorov-Zurbenk (KZ) filter and multiple-linear-regression were adopted to isolate the impacts of source emission control strategies and meteorological conditions on eBC variation. A long-term linear trend showed that emission-related reduction (7.79% yr−1) rather than meteorology-related reduction (4.51% yr−1) dominated the decreasing of eBC in the past years. Combining the KZ filter and Aethalometer model, the trends of eBC from fossil fuel combustion (eBCff) and biomass burning (eBCbb) were calculated. eBCbb and eBCff both showed decreasing trends with the reduction rates of 7.78% yr−1 and 7.76% yr−1, respectively. Backward trajectory analysis indicated that the air masses transported to the observational site from different regions in China all showed decreasing trend (1.64–18.7% yr−1) for eBC due to both the reduction from eBCbb (5.74–16.0% yr−1) and eBCff (7.38–19.7% yr−1), suggesting the positive role of pollution control measures in migrating air pollution across China. © 2020 Elsevier Ltd
英文关键词Air pollution control; Black carbon; KZ filter; Source apportionment; Trend analysis
语种英语
scopus关键词Air pollution; Carbon; Computational complexity; Fog; Fossil fuels; Linear regression; Air pollution prevention; Backward trajectory analysis; Biomass-burning; Black carbon aerosol; Control strategies; Fossil fuel combustion; Meteorological condition; Multiple linear regressions; Emission control; black carbon; fossil fuel; action plan; aerosol; air mass; atmospheric pollution; biomass burning; black carbon; climate conditions; emission control; megacity; observational method; pollutant source; pollution monitoring; trend analysis; aerosol; air pollutant; air pollution control; Article; biomass; China; circadian rhythm; combustion; meteorology; priority journal; reduction (chemistry); China; Hubei; Wuhan
来源期刊Atmospheric Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/129472
作者单位Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China; Department of Environmental Science and Engineering, School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China; Hubei Provincial Environmental Monitoring Centre, Wuhan, 430072, China; Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration, Wuhan, 430205, China; School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, 310058, China; Beijing Weather Modification Office, Beijing, 100089, China
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Zheng H.,Kong S.,Zheng M.,et al. A 5.5-year observations of black carbon aerosol at a megacity in Central China: Levels, sources, and variation trends[J],2020,232.
APA Zheng H..,Kong S..,Zheng M..,Yan Y..,Yao L..,...&Qi S..(2020).A 5.5-year observations of black carbon aerosol at a megacity in Central China: Levels, sources, and variation trends.Atmospheric Environment,232.
MLA Zheng H.,et al."A 5.5-year observations of black carbon aerosol at a megacity in Central China: Levels, sources, and variation trends".Atmospheric Environment 232(2020).
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