The use of ambient air quality modeling to estimate individual and population exposure for human health research: A case study of ozone in the Northern Georgia Region of the United States

被引:126
作者
Bell, Michelle L. [1 ]
机构
[1] Yale Univ, New Haven, CT 06511 USA
关键词
ozone; air quality modeling; exposure assessment; air pollution; monitoring;
D O I
10.1016/j.envint.2006.01.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ambient monitors are commonly used to estimate exposure for epidemiological studies, and air quality modeling is infrequently applied. However air quality modeling systems have the potential to alleviate some, although not all, of the limitations of monitoring networks. To investigate this application, exposure estimates were generated for a case study high ozone episode in the Northern Georgia Region of the United States based on measurements and concentration estimates from an air quality modeling system. Hourly estimates for 2268 4-km by 4-km gridcells were generated in a domain that includes only eight ozone monitors. Individual and population-based ozone exposures were estimated using multiple approaches, including area-weighted average of modeled estimates, nearest monitor, and spatial interpolation by inverse distance weighting and kriging. Results based on concentration fields from the air quality modeling system revealed spatial heterogeneity that was obscured by approaches based on the monitoring network. With some techniques, such as spatial interpolation, monitoring data alone was insufficient to estimate exposure for certain areas, especially for rural populations. For locations far from ozone monitors, the estimates from the nearest monitor approach tended to overestimate exposure, compared to modeled estimates. Counties in which one or more monitors were present had statistically higher population density and modeled ozone estimates than did counties without monitors (p-value < 0.05). This work demonstrates the use of air quality modeling to generate higher spatial and temporal resolution exposure estimates, and compares the advantages of this approach to traditional methods that use monitoring data alone. The air quality modeling method faces its own limitations, such as the need to thoroughly evaluate concentration estimates and the use of ambient levels rather than personal exposure. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:586 / 593
页数:8
相关论文
共 51 条
[1]   Real-time ozone mapping using a regression-interpolation hybrid approach, applied to Tucson, Arizona [J].
Abraham, JS ;
Comrie, AC .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2004, 54 (08) :914-925
[2]   Air quality modeling for Houston-Galveston-Brazoria area [J].
Aloyan, AE ;
Arutyunyan, V ;
Haymet, AD ;
He, JW ;
Kuznetsov, Y ;
Lubertino, G .
ENVIRONMENT INTERNATIONAL, 2003, 29 (2-3) :377-383
[3]  
[Anonymous], 2000, NATL MORBIDITY MORTA
[4]  
[Anonymous], 2000, NATL MORBIDITY MOR 1
[5]  
[Anonymous], CENS 2000
[6]   Sensitivity analysis of tropospheric ozone to modified biogenic emissions for the Mid-Atlantic region [J].
Bell, M ;
Ellis, H .
ATMOSPHERIC ENVIRONMENT, 2004, 38 (13) :1879-1889
[7]   Metrics matter: Conflicting air quality rankings from different indices of air pollution [J].
Bell, ML ;
Hobbs, BF ;
Ellis, H .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2005, 55 (01) :97-106
[8]   Ozone and short-term mortality in 95 US urban communities, 1987-2000 [J].
Bell, ML ;
McDermott, A ;
Zeger, SL ;
Samet, JM ;
Dominici, F .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2004, 292 (19) :2372-2378
[9]   Can one use ambient air concentration data to estimate personal and population exposures to particles? An approach within the European EXPOLIS study [J].
Boudet, C ;
Zmirou, D ;
Vestri, V .
SCIENCE OF THE TOTAL ENVIRONMENT, 2001, 267 (1-3) :141-150
[10]   MULTIVARIATE SPATIAL INTERPOLATION AND EXPOSURE TO AIR-POLLUTANTS [J].
BROWN, PJ ;
LE, ND ;
ZIDEK, JV .
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 1994, 22 (04) :489-509