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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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 Abstract
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).
 Keywords
Hazard quotient;hazardous air pollutants;Maganese;risk assessment;statistical prediction;
 Language
Korean
 Cited by
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