A source area model incorporating simplified atmospheric dispersion and advection at fine scale for population air pollutant exposure assessment

被引:27
作者
Ainslie, B. [1 ]
Steyn, D. G. [1 ]
Su, J. [2 ]
Buzzelli, M. [2 ]
Brauer, M. [3 ]
Larson, T. [4 ]
Rucker, M. [5 ]
机构
[1] Univ British Columbia, Dept Earth & Ocean Sci, Atmospher Sci Programme, Vancouver, BC V6T 1Z4, Canada
[2] Univ British Columbia, Dept Geog, Vancouver, BC V6T 1Z4, Canada
[3] Univ British Columbia, Sch Occupat & Environm Hygn, Vancouver, BC V6T 1Z4, Canada
[4] Univ Washington, Seattle, WA 98195 USA
[5] SeaBreeze Power Corp, Vancouver, BC V6B 5A6, Canada
关键词
exposure; source area; atmospheric dispersion;
D O I
10.1016/j.atmosenv.2007.12.021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A source-area model for estimating population exposure to air pollutants at the scale of a neighborhood is developed. The model explicitly accounts for the first-order influence of atmospheric dispersion of emissions on surface concentrations. The model is used to produce concentration surfaces at high spatial and temporal resolution, and is calibrated using measurements from a fixed monitoring network and evaluated against measurements from two intensive measurement campaigns. The source area model is compared against a fixed buffer model that ignores meteorological dispersion. The source area model captures the influence of wind speed, wind direction and stability on the dispersion and advection of emissions, and thereby achieves modest improvement of performance over the fixed buffer model. The model is useful for the determination of personal exposures and health effects to local emissions. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2394 / 2404
页数:11
相关论文
共 54 条
[1]   Evaluation of the operational street pollution model using data from European cities [J].
Aquilina, N ;
Micallef, A .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2004, 95 (1-3) :75-96
[2]   The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies [J].
Arain, M. A. ;
Blair, R. ;
Finkelstein, N. ;
Brook, J. R. ;
Sahsuvaroglu, T. ;
Beckerman, B. ;
Zhang, L. ;
Jerrett, M. .
ATMOSPHERIC ENVIRONMENT, 2007, 41 (16) :3453-3464
[3]  
Arya S. P., 2001, Introduction to Micrometeorology, V2nd ed.
[4]  
Arya S.P., 1999, AIR POLLUTION METEOR
[5]   OSPM - A parameterised street pollution model [J].
Berkowicz, R .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2000, 65 (1-2) :323-331
[6]   Estimating long-term average particulate air pollution concentrations: Application of traffic indicators and geographic information systems [J].
Brauer, M ;
Hoek, G ;
van Vliet, P ;
Meliefste, K ;
Fischer, P ;
Gehring, U ;
Heinrich, J ;
Cyrys, J ;
Bellander, T ;
Lewne, M ;
Brunekreef, B .
EPIDEMIOLOGY, 2003, 14 (02) :228-239
[7]   Mapping urban air pollution using GIS: a regression-based approach [J].
Briggs, DJ ;
Collins, S ;
Elliott, P ;
Fischer, P ;
Kingham, S ;
Lebret, E ;
Pryl, K ;
VAnReeuwijk, H ;
Smallbone, K ;
VanderVeen, A .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 1997, 11 (07) :699-718
[8]   The relationship among TSP, PM(10), PM(2.5), and inorganic constituents of atmospheric particulate matter at multiple Canadian locations [J].
Brook, JR ;
Dann, TF ;
Burnett, RT .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 1997, 47 (01) :2-19
[9]   Air pollution and health [J].
Brunekreef, B ;
Holgate, ST .
LANCET, 2002, 360 (9341) :1233-1242
[10]   Association between ozone and hospitalization for respiratory diseases in 16 Canadian cities [J].
Burnett, RT ;
Brook, JR ;
Yung, WT ;
Dales, RE ;
Krewski, D .
ENVIRONMENTAL RESEARCH, 1997, 72 (01) :24-31