DOI: 10.1016/j.atmosenv.2015.05.008
Scopus记录号: 2-s2.0-84949539269
论文题名: Seasonal variation and four-year trend of black carbon in the Mid-west China: The analysis of the ambient measurement and WRF-Chem modeling
作者: Zhao S ; , Tie X ; , Cao J ; , Li N ; , Li G ; , Zhang Q ; , Zhu C ; , Long X ; , Li J ; , Feng T ; , Su X
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 123 起始页码: 430
结束页码: 439
语种: 英语
英文关键词: Black carbon
; Emission
; Guanzhong basin
; Seasonal variation
; WRF-Chem model
; Xi'an city
Scopus关键词: Atmospheric movements
; Carbon
; Emission control
; Neutron emission
; Atmospheric transport
; Background concentration
; Black carbon
; Guanzhong basin
; Horizontal transport
; Meteorological condition
; Seasonal variation
; Xi'an cities
; Sensitivity analysis
; black carbon
; aerosol composition
; atmospheric chemistry
; black carbon
; carbon emission
; seasonal variation
; weather forecasting
; air pollution
; ambient air
; Article
; atmospheric transport
; autumn
; chemical model
; China
; concentration (parameters)
; environmental impact assessment
; meteorology
; priority journal
; seasonal variation
; spring
; summer
; trend study
; weather
; weather research and forecasting model
; wind
; winter
; China
; Guanzhong Plain
; Shaanxi
; Xian
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In-situ measurement of black carbon (BC) concentration from September 2003 to August 2007 in the Xi'an City at the Guanzhong Basin located in the mid-western China (the Guanzhong Basin) was analyzed. A regional dynamics and aerosol model (WRF-Chem) was used to quantify the impacts of local emission, meteorological conditions, and regional atmospheric transport on seasonal variation of BC concentration at the Guanzhong Basin. The results show that the regional prevailing winds at the Guanzhong Basin were unfavorable for the horizontal transport. The mean wind speeds ranged from 1.0 m/s to 1.9 m/s. During winter, the wind at the Guanzhong Basin was very weak (~1.0 m/s). During spring and autumn, there was a wind convergent zone at the Guanzhong Basin, constraining the BC concentrations inside the Guanzhong Basin. As a result, the BC concentrations were persistently high at the Guanzhong Basin. In addition to the high background concentrations, there was a strong seasonal variation, with a maximum in winter (winter maximum) and a minimum in summer (summer minimum), with the maximum of the mean concentration of 30 μg m-3 in 2003-2004 winter, and the minimum of 5 μg m-3 in 2004 summer. The model sensitivity study shows that the seasonal variation of BC concentration was largely due to the seasonal variation of BC emission, especially during winter with the maximum of BC emission. A strong annual decrease trend of the BC concentration was found from 2004 to 2007. It is interesting to note that the decrease of the BC concentration only occurred in winter. For example, the winter maximum was 20 μg m-3 in 2003, and reduced to 11 μg m-3 in 2006, with about 50% decrease. In contrast, the summer minimum was 10 μg m-3 in 2004 and 9 μg m-3 in 2007, with only 10% decrease. This study suggests that the rapid decrease in the winter maximum was mainly due to the reduction of the BC emission in winter, implying the effective winter emission control at the Guanzhong Basin. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81415
Appears in Collections: 气候变化事实与影响
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作者单位: SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China; University of Chinese Academy of Sciences, Beijing, China; National Center for Atmospheric Research, Boulder, CO, United States; Department of Environmental Science, Xi'an Jiaotong University, Xi'an, China; Center for Earth System Science, Tsinghua University, Beijing, China
Recommended Citation:
Zhao S,, Tie X,, Cao J,et al. Seasonal variation and four-year trend of black carbon in the Mid-west China: The analysis of the ambient measurement and WRF-Chem modeling[J]. Atmospheric Environment,2015-01-01,123