Title Sources of black carbon during severe haze events in the Beijing-Tianjin-Hebei region using the adjoint method
Authors Mao, Yu-Hao
Zhao, Xincheng
Liao, Hong
Zhao, Delong
Tian, Ping
Henze, Daven K.
Cao, Hansen
Zhang, Lin
Li, Jiandong
Li, Jing
Ran, Liang
Zhang, Qiang
Affiliation Nanjing Univ Informat Sci & Technol NUIST, Jiangsu Key Lab Atmospher Environm Monitoring & P, Sch Environm Sci & Engn, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing 210044, Peoples R China
NUIST, Key Lab Meteorol Disaster, Minist Educ KLME,Int Joint Res Lab Climate & Envi, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China
Beijing Weather Modificat Off, Beijing 100089, Peoples R China
Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA
Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100081, Peoples R China
Chinese Acad Sci, Inst Atmospher Phys, Key Lab Middle Atmosphere & Global Environm Obser, Beijing 100029, Peoples R China
Chinese Acad Sci, Inst Atmospher Phys, Xianghe Observ Whole Atmosphere, Xianghe 065400, Peoples R China
Tsinghua Univ, Ctr Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
Keywords NORTH CHINA PLAIN
TERM CLIMATE-CHANGE
AIR-QUALITY
INTERANNUAL VARIATIONS
SOURCE APPORTIONMENT
TEMPORAL VARIATIONS
WEATHER PATTERNS
RIVER-DELTA
EMISSIONS
PM2.5
Issue Date 20-Oct-2020
Publisher SCIENCE OF THE TOTAL ENVIRONMENT
Abstract The Beijing-Tianjin-Hebei (BTH) region in China has been frequently suffering from severe haze events (observed daily mean surface fine particulate matter PM2.5 concentrations larger than 150 mu g m(-3)) partially caused by certain types of large-scale synoptic patterns. Black carbon (BC), as an important PM2.5 component and a primarily emitted species, is a good tracer for investigating sources and formation mechanisms leading to severe haze pollutions. We apply GEOS-Chem model and its adjoint to quantify the source contributions to BC concentrations at the surface and at the top of the planetary boundary layer (PBL) during typical types of severe haze events for April 2013-2017 in BTH. Four types of severe haze events, mainly occurred in December-January-February (DJF, 62.3%) and in September-October-November (SON, 26.3%), are classified based on the associated synoptic weather patterns using principal component analysis. Model results reasonably capture the daily variations of BC measurements at three ground sites in BTH. The adjoint method attributes BC concentrations to emissions from different source sectors and from local versus regional transport at the model spatial and temporal resolutions. By source sectors, the adjoint method attributes the daily BC concentrations during typical severe haze events (in winter heating season) in Beijing largely to residential emissions (48.1-62.0%), followed by transportation (16.8-25.9%) and industry (19.1-29.5%) sectors. In terms of regionally aggregated source influences, local emissions in Beijing (59.6-79.5%) predominate the daily surface BC concentrations, while contributions of emissions from Beijing, Hebei, and outside BTH regions are comparable to the daily BC concentrations at the top of PBL (similar to 200-400m). Our adjoint analyses would provide a scientific support for joint regional and targeted control policies on effectively mitigating the particulate pollutions when the dominant synoptic weather patterns are predicted. (C) 2020 The Authors. Published by Elsevier B.V.
URI http://hdl.handle.net/20.500.11897/592334
ISSN 0048-9697
DOI 10.1016/j.scitotenv.2020.140149
Indexed SCI(E)
Appears in Collections: 物理学院

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