DOI: 10.1016/j.atmosenv.2017.08.029
Scopus记录号: 2-s2.0-85028504477
论文题名: Determining the contribution of long-range transport, regional and local source areas, to PM10 mass loading in Hessen, Germany using a novel multi-receptor based statistical approach
作者: Garg S ; , Sinha B
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 167 起始页码: 566
结束页码: 575
语种: 英语
英文关键词: Aerosol
; HYSPLIT
; Novel receptor model
; Source apportionment
; Trajectory analysis
Scopus关键词: Aerosols
; Particles (particulate matter)
; Wind
; HYSPLIT
; Long range transport
; Receptor model
; Source apportionment
; Statistical approach
; Statistical sources
; Trajectory analysis
; Wind speed and directions
; Urban growth
; aerosol
; climate modeling
; particulate matter
; perturbation
; pollutant transport
; quantitative analysis
; source apportionment
; statistical analysis
; urban area
; wind velocity
; aerosol
; air mass
; air quality
; altitude
; Article
; controlled study
; Eastern Europe
; environmental parameters
; forest
; Germany
; highway
; Italy
; multi receptor site regional source apportionment model
; multi receptor source apportionment model
; particulate matter
; prediction
; priority journal
; Southern Europe
; statistical model
; traffic and transport
; urban area
; Western Europe
; Germany
; Hesse
; Southern Europe
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: This study uses two newly developed statistical source apportionment models, MuSAM and MuReSAM, to perform quantitative statistical source apportionment of PM10 at multiple receptor sites in South Hessen. MuSAM uses multi-site back trajectory data to quantify the contribution of long-range transport, while MuReSAM uses wind speed and direction as proxy for regional transport and quantifies the contribution of regional source areas. On average, between 7.8 and 9.1 μg/m3 of PM10 (∼50%) at receptor sites in South Hessen is contributed by long-range transport. The dominant source regions are Eastern, South Eastern, and Southern Europe. 32% of the PM10 at receptor sites in South Hessen is contributed by regional source areas (2.8–9.41 μg/m3). This fraction varies from <20% at remote sites to >40% for urban stations. Sources located within a 2 km radius around the receptor site are responsible for 7%–20% of the total PM10 mass (0.7–4.4 μg/m3). The perturbation study of the traffic flow due to the closing and reopening of the Schiersteiner Brücke revealed that the contribution of the bridge to PM10 mass loadings at two nearby receptor sites increased by approximately 120% after it reopened and became a bottleneck, although in absolute terms, the increase is small. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82291
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S Nagar, Manauli POPunjab, India
Recommended Citation:
Garg S,, Sinha B. Determining the contribution of long-range transport, regional and local source areas, to PM10 mass loading in Hessen, Germany using a novel multi-receptor based statistical approach[J]. Atmospheric Environment,2017-01-01,167