DOI: 10.1016/j.atmosenv.2014.11.031
Scopus记录号: 2-s2.0-84913553420
论文题名: Modeling airborne benzo(a)pyrene concentrations in the Czech Republic
作者: Zalel A ; , Broday D ; M ; , Svecova V ; , Sram R ; J ; , Bartonova A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 101 起始页码: 166
结束页码: 176
语种: 英语
英文关键词: Air pollution monitoring
; B[a]P
; Classification trees
; Multivariate linear regression
; PAHs
Scopus关键词: Emission control
; Extrapolation
; Pollution
; Pyrene
; Air pollution monitoring
; Classification trees
; Hazardous organic compounds
; Meteorological variables
; Multivariate linear regressions
; PAHs
; Polycyclic aromatic hydrocarbons (PAHS)
; Temporal cross validation
; Hazardous materials
; benzo[a]pyrene
; air quality
; atmospheric modeling
; atmospheric pollution
; concentration (composition)
; environmental monitoring
; model validation
; PAH
; performance assessment
; pyrene
; air pollution
; airborne particle
; Article
; concentration (parameters)
; controlled study
; Czech Republic
; environmental temperature
; measurement
; particulate matter
; summer
; winter
; Czech Republic
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: Polycyclic aromatic hydrocarbons (PAHs) are complex hazardous organic compounds that are introduced into the atmosphere as by-products of partial combustion processes. For common atmospheric conditions, the large molecular weight PAHs, such as benzo(a)pyrene (B[a]P), are found in the particulate phase and are believed to account for a considerable amount of the fine particulate matter toxic potential. Nonetheless, unlike meteorological variables and criteria pollutants, PAHs are very rarely monitored on a routine basis in most parts of the world. We present methodology for development and evaluation of a model for estimation of daily and monthly ambient B[a]P concentrations. The model utilizes a very large ambient B[a]P database from three sites in the Czech Republic. The difficulties faced when dealing with ambient PAH data are discussed. Model performance was evaluated by a complete internal-, external-, and temporal cross validations. The models reproduced very accurately monthly mean ambient B[a]P concentrations and provided acceptable daily mean B[a]P concentrations. Spatial extrapolations resulted in small deterioration of the models' performance. The temporal backward extrapolation revealed comparable errors to the spatial extrapolations in spite of the dramatic emissions reduction in the early years of the study period. © 2014 Elsevier Ltd.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82079
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Craven Works Ltd., Israel; Civil and Environmental Engineering, Technion, Haifa, Israel; Institute of Experimental Medicine, Prague, Czech Republic; Norwegian Institute for Air Research (NILU), Kjeller, Norway
Recommended Citation:
Zalel A,, Broday D,M,et al. Modeling airborne benzo(a)pyrene concentrations in the Czech Republic[J]. Atmospheric Environment,2015-01-01,101