globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.09.003
Scopus ID: 2-s2.0-85053558618
Title:
Quantifying the contributions of various emission sources to black carbon and assessment of control strategies in western China
Author: Yang J.; Kang S.; Chen D.; Ji Z.; Tripathee L.; Chen X.; Du W.; Qiu G.
Source Publication: Atmospheric Research
ISSN: 1698095
Publishing Year: 2019
Volume: 215
pages begin: 178
pages end: 192
Language: 英语
Keyword: Black carbon ; Control strategies ; Emission sources in Asia ; Highly populated region ; Tibetan Plateau
Scopus Keyword: Air quality ; Atmospheric chemistry ; Boundary layers ; Carbon ; Emission control ; Housing ; Precipitation (meteorology) ; Black carbon ; Control strategies ; Emission sources ; Highly populated region ; Tibetan Plateau ; Weather forecasting ; air quality ; assessment method ; atmospheric pollution ; black carbon ; carbon emission ; concentration (composition) ; emission control ; emission inventory ; human activity ; megacity ; pollutant source ; residential location ; spatiotemporal analysis ; China ; Qinghai-Xizang Plateau
English Abstract: In this study, an air quality model WRF-Chem (Weather Research and Forecasting Chemistry) was used to simulate meteorological conditions and surface black carbon (BC) concentrations in the western China from June 2016 to May 2017, given emissions from various sources in Asia. Comparison between simulations and measurements in western China showed that the model can capture the key spatial and temporal features of meteorological elements and surface BC concentrations. The modeling framework was then used to quantify the relative contributions of different emission sectors to BC concentrations via sensitivity experiments. Our results show that the residential emission sector presented the largest contribution in western China. The second largest contributor for the highly populated mega-cities (HM) region including Sichuan and Guanzhong basins, and for the remote background (RB) region covering the central part of the Tibetan Plateau (TP), was the industrial sector and the transportation sector, respectively. Power plants and open biomass burning sources played minor roles in the regional BC concentration. The seasonality of BC concentrations showed higher values in winter, mainly due to the residential winter heating under conditions of lower precipitation scavenging and poor boundary layer mixing. A further evaluation of emission control strategies shows that a 50% reduction of residential emissions caused annual mean surface BC concentrations in the RB and HM regions to decrease by 36.2% and 36.7%, respectively. In contrast, a 50% reduction in industrial emissions or transportation emissions led to less than 12% decreases in both regions. The 50% reduction of transportation emissions caused BC concentrations to decrease by 9.2% in the RB region, larger than the 5.9% decrease caused by a 50% reduction of industrial emissions. Transportation emissions were responsible for more BC pollution than industrial emissions for the RB region, in contrast to the highly-industrialized HM region. Therefore, more attention should be paid to transportation emissions when designing control strategies for air pollution over the TP. The results from this work provide useful information for local governments to prepare and implement air pollution guidelines in western China. © 2018 Elsevier B.V.
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被引频次[WOS]:1   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/109069
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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Affiliation: State Key Laboratory of Cryospheric Sciences, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, Lanzhou, 730000, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, 40530, Sweden; School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, 510275, China; Shanxi Meteorological Observatory, Taiyuan, 030006, China

Recommended Citation:
Yang J.,Kang S.,Chen D.,et al. Quantifying the contributions of various emission sources to black carbon and assessment of control strategies in western China[J]. Atmospheric Research,2019-01-01,215
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