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A statistical prediction for concentrations of Manganese in the ambient air
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 Title & Authors
A statistical prediction for concentrations of Manganese in the ambient air
Kwon, Hye Ji; Kim, Yongku;
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Hazardous air pollution caused by heavy metals in the air is at a serious level. Although manganese(Mn), one of the heavy metals, is a non-carcinogenic substance, it has a harmful influence on the human body. It is partially measured because automatic monitoring technologies have not yet be fully established. We introduced a statistical model for the daily concentration of manganese. Incorporating a linkage between Mn and meteorology, the proposed model is formulated in way to identify meteorological effects and to allow for seasonal trends, enabling not only accurate measurement of manganese concentration, but also information about the evaluation on a Hazard Quotient (non-cancer risk).
Hazard quotient;hazardous air pollutants;Maganese;risk assessment;statistical prediction;
 Cited by
통계적모형을 통한 고해상도 일별 평균기온 산정,윤상후;

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Generating high resolution of daily mean temperature using statistical models, Journal of the Korean Data and Information Science Society, 2016, 27, 5, 1215  crossref(new windwow)
Alves, G., Muller, B., Herlofson, K., Hogenesch, I., Telstad, W., Aarsland, D., Tysnes, O. B. and Larsen, J. P. (2009). Incidence of Parkinson's disease in Norway: the Norwegian ParkWest study. Journal of Neurology, Neurosurgery & Psychiatry, 80, 851-857. crossref(new window)

Agency for Toxic Substances and Disease Registry (2012). Toxicological profile for manganese, U.S. Department of Health and Human Services, Agency for Toxic Substances and Disease Registry, Atlanta, America.

Bae, S. Y., Yi, S. M. and Kim, Y. P. (2002). Temporal and spatial variations of the particle size distribution of PAHs and their dry deposition fluxes in Korea. Atmospheric Environment, 36, 5491-5500. crossref(new window)

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. crossref(new window)

Finkelstein, M. M. and Jerrett, M. (2007). A study of the relationship between Parkin- son's disease and markers of traffic-derived and environmental manganese air pollution in two Canadian cities. Environmental Research, 104, 420-432. crossref(new window)

Furrer, E. M. and Katz, R. W. (2007). Generalized linear modeling approach to stochastic weather generators. Climate Research, 34, 129-144. crossref(new window)

Jung, G. (2005). A Study on the pollution characteristics of airborne PM10 at the Siwha and Banwall industrial areas, Master Thesis, Korea Polytechnic University, Gyeonggi-do.

Jung, G. S., Lee, J. D. and Kim, Y. B. (2013). Associations between airborne Manganese and blood Manganese in the Korean general population according to KNHANES. Journal of Environmental Science International, 22, 1589-1598. crossref(new window)

Kim, J. Y., Lee, J. Y., Choi, S. D., Kim, Y. P. and Ghim, Y. S. (2012). Gaseous and particulate polycyclic aromatic hydrocarbons at the Gosan background site in East Asia. Atmospheric Environment, 49, 311-319. crossref(new window)

Kim, Y., Seo, Y. K. and Baek, S. O. (2013). A statistical inference for concentrations of benzo[a]pyrene partially measured in the ambient air of an industrial city in Korea. Atmospheric Environment, 81, 92-101. crossref(new window)

Kim, Y. (2010) An analysis of the potential impact of various ozone regulatory standard on mortality. Journal of the Korean Data & Information Science Society, 22, 125-136.

Kim, Y. J. (2014) Analysis of recurrent event data with incomplete observation gaps using piecewise models. Journal of the Korean Data & Information Science Society, 25, 1117-1125. crossref(new window)

Kim, Y. and Kim, H. J. (2012). Stochastic precipitation modeling based on Korean historical data. Journal of the Korean Data & Information Science Society, 23, 1309-1317. crossref(new window)

Kim, J. Y. and Jung, K. (2014) The research on daily temperature using continuous AR model. Journal of the Korean Data & Information Science Society, 25, 155-167. crossref(new window)

Kumar, D. and Jugdutt, B. I. (2003). Apoptosis and oxidants in the heart. Journal of Laboratory and Clinical Medicine, 142, 288-297. crossref(new window)

Lee, C. (2014). Analysis of risk assessment and heavy metals in airborne fine particulate matter in industrial city, Changwon, Master Thesis, Ulsan University, Ulsan.

McCullagh, P. and Nelder, J. A. (1989). Generalized linear models, Chapman & Hall/CRC, London.

Park, S. S., Kim, Y. J. and Kang, C. H. (2002). Atmospheric polycyclic aromatic hydrocarbons in Seoul, Korea. Atmospheric Environment, 36, 2917-2924. crossref(new window)

Shah, M. H., Shaheen, N., Jaffar, M., Khalique, A., Tariq, S. R. and Manzoor, S. (2006). Spatial variations inselected metal contents and particle size distributionin an urban and rural atmosphere of Islamabad. Pakistan Journal of Environmental Management, 78, 128-137.

Seo, Y. K. (2010). Occurrence and behaviour of hazardous air pollutants in a large industrial area, Ph. D. Thesis, Yeungnam University, Gyeongbuk.

Son, G. T. (1998). Statistical methods for analyzing meteorological and environmental data. Asia-Pacific Journal of Atmospheric Sciences, 34, 497-504.

Yorifuji, T. and Kashima, S. (2013). Air pollution: Another cause of lung cancer. The Lancet Oncology, 14, 788-789. crossref(new window)