DOI: 10.1016/j.atmosenv.2014.09.030
Scopus记录号: 2-s2.0-84907250744
论文题名: Modeling particle number concentrations along Interstate 10 in El Paso, Texas
作者: Olvera H ; A ; , Jimenez O ; , Provencio-Vasquez E
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 98 起始页码: 581
结束页码: 590
语种: 英语
英文关键词: Dispersion model
; Land use regression
; Ultrafine
; US-Mexico border
Scopus关键词: Dispersion modeling
; Land use regression
; Particle number concentration
; Ultrafine
; US-Mexico border
; atmospheric modeling
; atmospheric pollution
; dispersion
; economic analysis
; particle size
; regression analysis
; road
; traffic emission
; urban transport
; accuracy
; air pollutant
; Article
; atmospheric dispersion
; circadian rhythm
; concentration (parameters)
; highway
; land use
; measurement
; molecular model
; particulate matter
; rural area
; traffic and transport
; United States
; velocity
; wind
; El Paso
; Texas
; 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: Annual average daily particle number concentrations around a highway were estimated with an atmospheric dispersion model and a land use regression model. The dispersion model was used to estimate particle concentrations along Interstate 10 at 98 locations within El Paso, Texas. This model employed annual averaged wind speed and annual average daily traffic counts as inputs. A land use regression model with vehicle kilometers traveled as the predictor variable was used to estimate local background concentrations away from the highway to adjust the near-highway concentration estimates. Estimated particle number concentrations ranged between 9.8 × 103 particles/cc and 1.3 × 105 particles/cc, and averaged 2.5 × 104 particles/cc (SE 421.0). Estimates were compared against values measured at seven sites located along I10 throughout the region. The average fractional error was 6% and ranged between -1% and -13% across sites. The largest bias of -13% was observed at a semi-rural site where traffic was lowest. The average bias amongst urban sites was 5%. The accuracy of the estimates depended primarily on the emission factor and the adjustment to local background conditions. An emission factor of 1.63 × 1014 particles/veh-km was based on a value proposed in the literature and adjusted with local measurements. The integration of the two modeling techniques ensured that the particle number concentrations estimates captured the impact of traffic along both the highway and arterial roadways. The performance and economical aspects of the two modeling techniques used in this study shows that producing particle concentration surfaces along major roadways would be feasible in urban regions where traffic and meteorological data are readily available. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80565
Appears in Collections: 气候变化事实与影响
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作者单位: Center for Environmental Resource Management, University of Texas at El Paso, 500 W. University Ave., El Paso, TX, United States; School of Nursing, University of Texas at El Paso, 500 W. University Ave., EL Paso, TX, United States; Hispanic Health Disparities Research Center, University of Texas at El Paso, 500 W. University Ave., EL Paso, TX, United States; Department of Civil Engineering, University of Texas at El Paso, 500 W. University Ave., El Paso, TX, United States
Recommended Citation:
Olvera H,A,, Jimenez O,et al. Modeling particle number concentrations along Interstate 10 in El Paso, Texas[J]. Atmospheric Environment,2014-01-01,98