DOI: 10.1016/j.atmosenv.2014.04.030
Scopus记录号: 2-s2.0-84899523078
论文题名: Seasonal modeling of PM2.5 in California's San Joaquin Valley
作者: Chen J ; , Lu J ; , Avise J ; C ; , Damassa J ; A ; , Kleeman M ; J ; , Kaduwela A ; P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 92 起始页码: 182
结束页码: 190
语种: 英语
英文关键词: Carrying capacity diagrams
; Community multiscale air quality (CMAQ) model
; Particulate matter
; Precursor equivalence ratio
; San joaquin valley
; Seasonal modeling
Scopus关键词: Air quality
; Emission control
; Volatile organic compounds
; Community multi-scale air qualities
; Equivalence ratios
; Particulate Matter
; San Joaquin Valley
; Seasonal modeling
; Reduction
; ammonia
; nitrate
; nitrogen
; oxide
; sulfur oxide
; volatile organic compound
; air quality
; ammonia
; baseline conditions
; carrying capacity
; emission control
; human activity
; nitrogen oxides
; seasonal variation
; sulfur
; volatile organic compound
; air pollution
; air pollution control
; air quality standard
; article
; calculation
; model
; particulate matter
; priority journal
; seasonal variation
; simulation
; United States
; California
; San Joaquin Valley
; United States
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: California's San Joaquin Valley (SJV) is in non-attainment for the 2006 revised 24-hPM2.5 National Ambient Air Quality Standard (NAAQS or standard) established by the United States Environmental Protection Agency (U.S. EPA). As a part of the emissions control strategy development to bring the SJV into attainment of the standard, the Community Multi-scale Air Quality (CMAQ) model was used to simulate PM2.5 formation and its response to precursor emission reductions. Simulations were conducted for the first (January-March) and fourth (October-December) quarters of 2007 since the 24-hPM2.5 violations typically occur during the winter months. The CMAQ model generally met the PM2.5 model performance criteria and was suitable for the State Implementation Plan (SIP) applications. Sensitivities of the 24-haverage PM2.5 concentrations to precursor emissions were investigated based on the baseline 2019 emissions forecast. Reductions in anthropogenic primary PM2.5 and oxides of nitrogen (NOx) showed the greatest impact on PM2.5 concentrations. Reducing anthropogenic ammonia and sulfur oxides emissions only slightly lowered PM2.5 concentrations, and reducing volatile organic compounds (VOC) emissions provided no benefit in reducing PM2.5 concentrations. Particularly, PM2.5 nitrate, the major PM2.5 component in the SJV showed no response to VOC reductions, which is also supported by additional modeling results from the UCD/CIT airshed model. This study demonstrated that the current strategy of controlling primary PM2.5 and NOx emissions in the SJV will continue to be effective for further reducing PM2.5 in the SJV beyond 2019. It also demonstrated how the CMAQ model can be used to design effective emissions control strategies for regulatory applications. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81085
Appears in Collections: 气候变化事实与影响
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作者单位: Air Quality Planning and Science Division, California Air Resources Board, 1001 I Street, Sacramento, CA 95814, United States; Department of Civil and Environmental Engineering, Washington State University, 405 Spokane Street, Pullman, WA 99164, United States; Department of Civil and Environmental Engineering, University of California, One Shields Avenue, Davis, CA 95616, United States; Air Quality Research Center and the Department of Land, Air and Water Resources, University of California, One Shields Avenue, Davis, CA 95616, United States
Recommended Citation:
Chen J,, Lu J,, Avise J,et al. Seasonal modeling of PM2.5 in California's San Joaquin Valley[J]. Atmospheric Environment,2014-01-01,92