본 연구에서는 배출량산정모델과 다중매질모델을 활용하여 환경오염물질의 노출도를 예측하였으며 위해도를 평가하였다. 연구대상 화학물질로써 8종(아세트알데히드(acetaldehyde), 아크릴로니트릴(acrylonitrile), 아닐린(aniline), 벤젠(benzene), 사염화탄소(carbon tetrachloride), 디클로로메탄(dichloromethane), 포름알데히드(formaldehyde), 염화비닐(vinyl chloride))의 물질을 선택하였으며, 대상지역은 공단지역을 포함하는 도심 지역을 선택하였다. 배출량은 지리지형정보를 활용하여 점배출원과 비점배출원을 동시에 고려하여 산정하였으며, 다중매질모델은 지역적 특성을 반영할 수 있는 모델을 선택하였다. 유해성 자료는 미국 환경청의 IRIS(Integrated Risk Information System) 유해성 데이터베이스를 활용하였다. 모델링 자료와 유해성 자료를 이용하여 위해성을 평가한 결과, 물질별로 위해도가 높은 지역을 발견할 수 있었으며 우선적으로 관리해야 할 물질을 선별할 수 있었다.
In this paper, human exposure and risk of environmental pollutants were predicted using an emission assessment model and multimedia fate model. Eight environmental pollutants, acetaldehyde, acrylonitrile, aniline, benzene, carbon tetrachloride, dichloromethane, formaldehyde and vinyl chloride, were selected for the risk assessment in an urban and industrial area in Korea. The emission rate of target pollutants were estimated after considering a variety of
point and non-point emission sources including geographical information. A spatially refined multimedia fate model was applied to predict the environmental concentration and fate of pollutants. Hazard data of target materials were obtained from the IRIS(Integrated Risk Information System) database. Using the modeling results with hazard data, the human risks were assessed. Modeling results demonstrate that the considerable risks were observed for several pollutants.
Allen DT, Shonnard DR, Green engineering - environmentally conscious design of chemical processes, Prentice Hall PTR, Upper Saddle River, NJ07458, 2002
Symeonidis P, Ziomass I, Proyou A, Environ. Modell. Softw., 19, 413, 2004
Prevedouros K, MacLeod M, Jones KC, Sweetman AJ, Environ. Pollut., 128, 251, 2004
Luo Y, Gao Q, Yang X, J. Environ. Manage., 83, 44, 2007
Yi J, Shin CB, Lee WG, Development of National Pollution Map using Multi-media Fate Model with Emission Inventories for the Construction of Pollutant Source Management System, ECO-Technopia-21 project of Ministry of Environmental, Korea, 091051039, 2008
USEPA, Integrated Risk Information System(IRIS), http://cfpub.epa.gov/ncea/iris/index.cfm.
Dai J, Rocke DM, Environ. Model. Soft., 15, 293, 2000
Mackay D, Multimedia Environmental Fate Model: The Fugacity Approach, Second ed. Lewis publishers, Boca Raton, Florida, 2001
Korea Meterological Administration webpage, http://www.kma. go.kr.
Seinfeld JH, Pandis SN, Atmopspheric Chemistry and Physics from Air Pollution to Climate Change, John Wiley & Sons, INC., New York, 1998
Water Management Information System, http://www.wamis.go.kr.