globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.09.047
Scopus记录号: 2-s2.0-84907244565
论文题名:
A study on the reconstitution of daily PM10 and PM2.5 levels in Paris with a multivariate linear regression model
作者: Dimitriou K; , Kassomenos P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 98
起始页码: 648
结束页码: 654
语种: 英语
英文关键词: Air mass residence time ; Air mass trajectories and HYSPLIT ; Paris ; PM2.5 and PM10
Scopus关键词: Air mass trajectories ; Multivariate linear regression model ; Paris ; Residence time ; air mass ; airflow ; concentration (composition) ; linearity ; numerical model ; particulate matter ; regression analysis ; air monitoring ; air particle control ; air quality ; Article ; combustion ; environmental monitoring ; France ; Germany ; particulate matter ; Southern Europe ; France ; Ile de France ; Paris ; Ville de Paris
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: The amount of time air spends over a region is linearly related to the region's contribution in PM. The residence time of air masses over emission sources was the main criterion for the division in 15 regions-origins. Daily PM concentrations in Paris (France), were reconstituted by multiplying the air mass residence time for each-one of the 15 regions by a regression coefficient (Bk) expressing the ability of each region to enrich the daily PM concentrations. The comparison between observed and predicted values gave satisfactory results. Local regions contributed cumulatively more than 50% of PM2.5 and PM10 in an average daily basis, whereas the residing areas of air parcels were particularly located around the city. Due to the scarceness of eastern circulation, continental airflows were associated with few episodes of extreme aerosol contributions, whereas peak air mass residence time values were isolated above Germany. © 2014 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80609
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作者单位: Laboratory of Meteorology, Department of Physics, University of Ioannina, Greece

Recommended Citation:
Dimitriou K,, Kassomenos P. A study on the reconstitution of daily PM10 and PM2.5 levels in Paris with a multivariate linear regression model[J]. Atmospheric Environment,2014-01-01,98
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