DOI: 10.1016/j.atmosenv.2017.11.006
Scopus记录号: 2-s2.0-85034079377
论文题名: A new modeling approach for assessing the contribution of industrial and traffic emissions to ambient NOx Concentrations
作者: Chen S ; , Yuval, Broday D ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 173 起始页码: 173
结束页码: 184
语种: 英语
英文关键词: Air quality modeling
; Industrial stacks
; Nitrogen oxides
; Optimized dispersion model
; Source allocation
Scopus关键词: Air quality
; Dispersions
; Inverse problems
; Meteorology
; Nitrogen oxides
; Odor control
; Air quality modeling
; Ambient air quality
; Dispersion modeling
; Industrial stacks
; Non-linear regression
; Seasonal variation
; Source allocation
; Spatiotemporal patterns
; Industrial emissions
; nitrogen oxide
; air quality
; ambient air
; coastal plain
; concentration (composition)
; nitrogen oxides
; optimization
; performance assessment
; seasonal variation
; spatiotemporal analysis
; traffic emission
; air monitoring
; air quality
; ambient air
; Article
; coastal plain
; industry and industrial phenomena
; Israel
; meteorology
; optimized dispersion model
; priority journal
; season
; seasonal variation
; traffic and transport
; Israel
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 Optimized Dispersion Model (ODM) is uniquely capable of incorporating emission estimates, ambient air quality monitoring data and meteorology to provide reliable high-resolution (in both time and space) air quality estimates using non-linear regression. However, it was so far not capable of describing the effects of emissions from elevated sources. We formulated an additional term to extend the ODM such that these sources can be accounted for, and implemented it in modeling the fine spatiotemporal patterns of ambient NOx concentrations over the coastal plain of Israel. The diurnal and seasonal variation in the contribution of industry to the ambient NOx is presented, as well as its spatial features. Although industrial stacks are responsible for 88% of the NOx emissions in the study area, their contribution to ambient NOx levels is generally about 2% with a maximal upper bound of 27%. Meteorology has a major role in this source allocation, with the highest impact of industry in the summer months, when the wind is blowing inland past the coastal stacks and vertical mixing is substantial. The new Optimized Dispersion Model (ODM) out-performs both Inverse-Distance-Weighing (IDW) interpolation and a previous ODM version in predicting ambient NOx concentrations. The performance of the new model is thoroughly assessed. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83155
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel; Technion Center of Excellence in Exposure Science and Environmental Health (TCEEH), Haifa, Israel
Recommended Citation:
Chen S,, Yuval, Broday D,M. A new modeling approach for assessing the contribution of industrial and traffic emissions to ambient NOx Concentrations[J]. Atmospheric Environment,2018-01-01,173