Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017
文献类型:期刊论文
作者 | Liu, Jie1,2,4; Li, Xia1,2; Liu, Suixin1; Liu, Lang1; Wu, Jiarui1; Wang, Ruonan1,2; Cao, Junji1,3; Li, Guohui1,3 |
刊名 | ATMOSPHERIC POLLUTION RESEARCH
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出版日期 | 2021-10-01 |
卷号 | 12期号:10页码:9 |
关键词 | Emissions mitigation Wintertime air quality PM2.5 WRF-Chem model |
ISSN号 | 1309-1042 |
DOI | 10.1016/j.apr.2021.101196 |
通讯作者 | Cao, Junji(cao@loess.llqg.ac.cn) ; Li, Guohui(ligh@ieecas.cn) |
英文摘要 | With the completion of the Air Pollution Prevention and Control Action Plan (Action Plan) in the Guanzhong Basin (GZB), the wintertime fine particulate matters (PM2.5) concentration has decreased by 50.0 mu g m(-3) (33.4%) from 2013 to 2017. Considering the significant impacts of meteorological conditions on particulate pollution, the effectiveness of anthropogenic emissions abatement on the PM2.5 reduction in the GZB remain unclear. In this study, the WRF-Chem model was used to quantitatively evaluate the effectiveness of emissions mitigation on the particulate pollution in the GZB in December from 2013 to 2017. The model typically showed an affordable consistence with observations and simulation in meteorological parameters, atmospheric pollutants, and aerosol components. Sensitivity results revealed that emissions reduction decreases PM2.5 concentrations by around 17% in the GZB, about half of the observed PM2.5 decreased in December from 2013 to 2017, showing significant role of meteorological conditions in modulating particulate pollution. Emissions mitigation also decreased SO2, CO and O-3 concentrations by around 55%, 17%, and 7%, respectively, but increased NO2 concentrations by 27%. Additionally, the PM2.5 decrease in the GZB is mainly contributed by the reduction of sulfate and primary organic aerosols, caused by implementation of stringent SO2 mitigation measures and reduced coal use. However, the mitigation of elemental carbon, dust and nitrate aerosols are not significant, particularly with regarding to nitrate aerosols, which is influenced by increase of NO2 and decrease of sulfate. Specified emissions mitigation strategies need to be designed to further lower the PM PM2.5 level in the GZB. |
WOS关键词 | BEIJING-TIANJIN-HEBEI ; ORGANIC AEROSOL CONCENTRATIONS ; ANTHROPOGENIC EMISSIONS ; MEXICO-CITY ; SEVERE HAZE ; METEOROLOGICAL UNCERTAINTIES ; PARTICULATE POLLUTION ; NITRATE FORMATION ; WEATHER PATTERNS ; HONO SOURCES |
资助项目 | National Key RD Plan of China[2017YFC0212206] ; National Key RD Plan of China[2017YFC0210000] ; Key Research and Development Program of Shaanxi[2021ZDLSF05-07] ; Key Research and Development Program of Shaanxi[2018ZDCXL-SF-02-05] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000712830700004 |
出版者 | TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP |
资助机构 | National Key RD Plan of China ; Key Research and Development Program of Shaanxi |
源URL | [http://ir.ieecas.cn/handle/361006/17184] ![]() |
专题 | 地球环境研究所_粉尘与环境研究室 第四纪科学与全球变化卓越创新中心 |
通讯作者 | Cao, Junji; Li, Guohui |
作者单位 | 1.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, SKLLQG, Xian 710061, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China 4.Shaanxi Prov Acad Environm Sci, Xian 710061, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Jie,Li, Xia,Liu, Suixin,et al. Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017[J]. ATMOSPHERIC POLLUTION RESEARCH,2021,12(10):9. |
APA | Liu, Jie.,Li, Xia.,Liu, Suixin.,Liu, Lang.,Wu, Jiarui.,...&Li, Guohui.(2021).Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017.ATMOSPHERIC POLLUTION RESEARCH,12(10),9. |
MLA | Liu, Jie,et al."Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017".ATMOSPHERIC POLLUTION RESEARCH 12.10(2021):9. |
入库方式: OAI收割
来源:地球环境研究所
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