DOI: 10.1016/j.atmosenv.2017.05.009
Scopus记录号: 2-s2.0-85044145215
论文题名: A method to predict PM2.5 resulting from compliance with national ambient air quality standards
作者: Kelly J ; T ; , Reff A ; , Gantt B
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 162 起始页码: 1
结束页码: 10
语种: 英语
英文关键词: Air quality modeling
; PM2.5
; Relative response factor
; Rollback
; Spatial fusion
Scopus关键词: Air quality
; Emission control
; Nitrogen oxides
; Quality control
; Regulatory compliance
; Risk assessment
; Time series
; Urban growth
; Aerodynamic diameters
; Air quality modeling
; Anthropogenic emissions
; National ambient air quality standards
; PM2.5
; Relative response factors
; Rollback
; Spatial prediction modeling
; Air quality standards
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: Area-wide composite monitor time series of daily PM2.5 (particulate matter with aerodynamic diameter < 2.5 μm) that correspond to just meeting U.S. National Ambient Air Quality Standards (NAAQS) have been used in risk assessments conducted during periodic reviews of PM NAAQS by U.S. EPA. Such time series were developed by adjusting ambient PM2.5 over an area according to a prescribed spatial pattern. A new technique for this purpose based on photochemical grid modeling for the continental U.S. is demonstrated here. The method uses a spatial prediction model to impute missing data and PM2.5 relative response factors based on simulations with reductions in anthropogenic emissions of primary PM2.5 and PM2.5 precursors (i.e., NOx and SO2). Case study results indicate that relatively urban sites are generally more responsive to primary PM2.5 reductions, while outlying sites are more responsive to NOx and SO2 reductions. The method enables the sensitivity of outcomes to be examined by quickly implementing PM2.5 adjustments based on different combinations of primary PM2.5 and NOx and SO2 emission reductions for areas of the U.S. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82213
Appears in Collections: 气候变化事实与影响
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作者单位: Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States
Recommended Citation:
Kelly J,T,, Reff A,et al. A method to predict PM2.5 resulting from compliance with national ambient air quality standards[J]. Atmospheric Environment,2017-01-01,162