Vehicular emissions and concentrations in school zones: A case study

被引:9
作者
Alzuhairi, Ali [1 ]
Aldhaheri, Mustafa [1 ]
Sun Zhan-bo [1 ,2 ]
Oh, Jun-Seok [1 ]
Kwigizile, Valerian [1 ]
机构
[1] Western Michigan Univ, Dept Civil & Construct Engn, Kalamazoo, MI 49008 USA
[2] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Peoples R China
关键词
human health; vehicular emissions; VISSIM microscopic simulation; California line source dispersion model (CALINE4); local-scale modeling; AIR-POLLUTION; HIGHWAY; DISPERSION; VARIABLES; RISKS;
D O I
10.1007/s11771-016-3231-9
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Recent research has revealed that human exposure to air pollutants such as CO, NO (X) , and particulates can lead to respiratory diseases, especially among school-age children. Towards understanding such health impacts, this work estimates local-scale vehicular emissions and concentrations near a highway traffic network, where a school zone is located in. In the case study, VISSIM traffic micro-simulation is used to estimate the source of vehicular emissions at each roadway segment. The local-scale emission sources are then used as inputs to the California line source dispersion model (CALINE4) to estimate concentrations across the study area. To justify the local-scale emissions modeling approach, the simulation experiment is conducted under various traffic conditions. Different meteorological conditions are considered for emission dispersion. The work reveals that emission concentrations are usually higher at locations closer to the congested segments, freeway ramps and major arterial intersections. Compared to the macroscopic estimation (i.e. using network-average emission factors), the results show significantly different emission patterns when the local-scale emission modeling approach is used. In particular, it is found that the macroscopic approach over-estimates emission concentrations at freeways and under-estimations are observed at arterials and local streets. The results of the study can be used to compare to the US environmental protection agency (EPA) standards or any other air quality standard to further identify health risk in a fine-grained manner.
引用
收藏
页码:1778 / 1785
页数:8
相关论文
共 23 条
[1]   Using a traffic simulation model (VISSIM) with an emissions model (MOVES) to predict emissions from vehicles on a limited-access highway [J].
Abou-Senna, Hatem ;
Radwan, Essam ;
Westerlund, Kurt ;
Cooper, C. David .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2013, 63 (07) :819-831
[2]  
[Anonymous], 2010, NAT AMB AIR QUAL STA
[3]  
[Anonymous], FACT SHEET PROP REV
[4]  
Arya S.P., 1999, AIR POLLUTION METEOR
[5]  
BAN X, 2013, C1003 NEW YORK STAT
[6]  
Benson P.E., 1984, Caline 4-A Dispersion Model for Predictiong Air Pollutant Concentrations Near Roadways
[7]  
Beychok M.R., 1994, FUNDAMENTALS STACK G, V3rd
[8]   Methodology for assessing emission reduction of truck-only toll lanes [J].
Chu, Hsing-Chung ;
Meyer, Michael D. .
ENERGY POLICY, 2009, 37 (08) :3287-3294
[9]   On-board emission and fuel consumption measurement campaign on petrol-driven passenger cars [J].
DeVlieger, I .
ATMOSPHERIC ENVIRONMENT, 1997, 31 (22) :3753-3761
[10]  
DONHAM KJ, 1990, AM J IND MED, V17, P73