Browse > Article

An analysis of the potential impact of various ozone regulatory standards on mortality  

Kim, Yong-Ku (Department of Statistics, Yeungnam University)
Publication Information
Journal of the Korean Data and Information Science Society / v.22, no.1, 2011 , pp. 125-136 More about this Journal
Abstract
Ground-level ozone, an air pollutant that is monitored by the Environmental Protection Agency (EPA), damages human health by irritating the respiratory system, reducing lung function, damaging lung cells, and aggravating asthma and other chronic conditions. In March 2008, the EPA strengthened ozone standards by lowering acceptable limits from 84 parts per billion to 75 parts per billion. Here epidemiologic data is used to study the effects of ozone regulation on human health and assessed how various regulatory standards for ozone may affect nonaccidental mortality, including respiratory-related deaths during ozone season. The assessment uses statistical methods based on hierarchical Bayesian models to predict the potential effects of the different regulatory standards. It also analyzes the variability of the results and ho they are impacted by different modeling assumptions. We focused on the technical an statistical approach to assessing relationship between new ozone regulations and mortality while other researches have detailed the relationship between ozone and human mortality. We shows a statistical correlation between ozone regulations and mortality, with lower limits of acceptable ozone linked to a decrease in deaths, and projects that mortality is expected to decrease by reducing ozone regulatory standards.
Keywords
Hierarchical model; mortality; ozone regulatory standard; rollback;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Johnson, T. (2002). A Guide to selected algorithms, distributions, and databases used in exposure models developed by the office air quality planning and standards, US Environmental Protection Agency.
2 Lee, H. (2008). Analysis of time series models for ozone concentration at the Uijeongbu city in Korea. Journal of Korean Data & Information Science Society, 19, 1153-1164.
3 McCullagh, P. and Nelder, J. A. (1989). Generalized linear models, Chapman & Hall/CRC, London.
4 Duff, M., Horst, R. L. and Johnson, T. (1998). Quadratic rollback: A technique to model ambient concentrations due to undefined emission controls. Paper No. 98- WA58.03, 91st Annual Meeting of the Air Pollution Control Association, San Diego, June.
5 Everson, P. J. and Morris, C. N. (2000). Inference for multivariate normal hierarchical models. Journal of the Royal Statistical Society: Series B, 62, 399-412.   DOI   ScienceOn
6 US Environmental Protection Agency (2004). Green book nonattainment areas for criteria pollutants. Available at: http://www.epa.gov/oar/oaqps/greenbk/.
7 National Morbidity Mortality and Air Pollution Study (NMMAPS) database. Available at: http://www.ihapss.jhsph.edu/. Accessed October 28, 2004.
8 Bell, M. L., McDermott, A., Zeger, S. L., Samet, J. M. and Dominici, F. (2004). Ozone and short-term mortality in 95 US urban communities. Journal of American Medical Association, 292, 2372-2378.   DOI   ScienceOn
9 Bell, M. L., Peng, R. D. and Dominici, F. (2006). The exposure.response curve for ozone and risk of mortality and the adequacy of current ozone regulations. Environmental Health Perspectives, 114, 532-536.   DOI   ScienceOn
10 US Environmental Protection Agency (1997). National ambient air quality standards for ozone, final rule. Federal Register. 62:38855-38896.