globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.02.050
Scopus记录号: 2-s2.0-84896751888
论文题名:
A uniform classification of aerosol signature size distributions based on regression-guided and observational cluster analysis
作者: Von Bismarck-Osten C; , Weber S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 89
起始页码: 346
结束页码: 357
语种: 英语
英文关键词: Classification ; K-Means ; Multiple regression ; Particle number size distribution ; Source identification
Scopus关键词: Fine and ultrafine particles ; K-means ; Multiple regressions ; Particle number concentration ; Particle number size distribution ; Source identification ; Spatio-temporal properties ; Total number concentrations ; Aerosols ; Air pollution ; Atmospheric movements ; Classification (of information) ; Regression analysis ; Size distribution ; Cluster analysis ; aerosol ; cluster analysis ; image classification ; nucleation ; particle size ; regression analysis ; size distribution ; urban area ; aerosol ; article ; cluster analysis ; meteorology ; particle size ; priority journal ; solar radiation ; suburban area ; time series analysis ; urban area ; weakness ; 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: Fine and ultrafine particles affect human health, especially in urban areas with a large number of emission sources and significant particle number concentrations. The mixture of different aerosol sources, their temporal evolution over the diurnal course and the impact of naturally occurring processes, e.g. particle nucleation, all contribute to the spatio-temporal exposure variability across a city and its suburban areas. A differentiation between different aerosol source types is of importance for the assessment of urban aerosol pollution and exposure in a city at a certain point in time. Therefore three years of particle number size distribution (NSD) measurements from three European cities were analysed by using cluster analysis in order to identify characteristic size distributions (signatures) which are associated to specific meteorological and spatio-temporal properties. A 'triple-site' approach was established with data from roadside, urban background and rural sites measured over a diameter size range of 8
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80654
Appears in Collections:气候变化事实与影响

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作者单位: Climatology and Environmental Meteorology, Institute of Geoecology, Technische Universität Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany

Recommended Citation:
Von Bismarck-Osten C,, Weber S. A uniform classification of aerosol signature size distributions based on regression-guided and observational cluster analysis[J]. Atmospheric Environment,2014-01-01,89
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