Prediction of Exposure and Risks of Environmental Pollutants via Emission Assessment and Multimedia Transport Modeling

배출량산정모델과 다중매질모델링을 이용한 환경오염물질의 노출평가 및 위해도 평가

  • Kim, Jong Ho (Chemical & Biological Engineering, Seoul National University) ;
  • Kwak, Byoung Kyu (Chemical & Biological Engineering, Seoul National University) ;
  • Shin, Chee Burm (Department of Chemical Engineering, Ajou University) ;
  • Jeon, Won Jin (Department of Chemical Engineering, Ajou University) ;
  • Yi, Jongheop (Chemical & Biological Engineering, Seoul National University)
  • 김종호 (서울대학교 화학생물공학부) ;
  • 곽병규 (서울대학교 화학생물공학부) ;
  • 신치범 (아주대학교 화학공학과) ;
  • 전원진 (아주대학교 화학공학과) ;
  • 이종협 (서울대학교 화학생물공학부)
  • Received : 2009.02.21
  • Accepted : 2009.03.11
  • Published : 2009.04.30

Abstract

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.

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.

Keywords

Acknowledgement

Supported by : 환경부

References

  1. Allen, D. T. and Shonnard, D. R., Green engineering - environmentally conscious design of chemical processes, Prentice Hall PTR, Upper Saddle River, NJ07458(2002)
  2. Symeonidis, P., Ziomass, I. and Proyou, A., "Development of An Emission Inventory System from Transport in Greece," Environ. Modell. Softw., 19, 413(2004) https://doi.org/10.1016/S1364-8152(03)00140-3
  3. Pai, P., Niemi, D. and Powers, B., "A North American Inventory of Anthropogenic Mercury Emissions," Fuel Process. Technol., 65-66, 101(2000) https://doi.org/10.1016/S0378-3820(99)00079-X
  4. Zhihui, W., Yuhua, B. and Shuyu, Z., "A Biogenic Volatile Organic Compounds Emission Inventory for Beijing," Atmos. Environ., 37, 3771 (2003) https://doi.org/10.1016/S1352-2310(03)00462-X
  5. Baldasano, J. M., Guereca, L. P., Lopez, E., Gasso, S. and Jimenez- Guerrero, P., "Development of a High-resolution (1 km × 1 km, 1 h) Emission Model for Spain: the High-Elective Resolution Modelling Emission System (HERMES)," Atmos. Environ., 42, 7215(2008) https://doi.org/10.1016/j.atmosenv.2008.07.026
  6. Buzcu-Guven, B. and Fraser, M. P., "Comparison of VOC Emissions Inventory Data with Source Apportionment Results for Houston, TX," Atmos. Environ., 42, 5032(2008) https://doi.org/10.1016/j.atmosenv.2008.02.025
  7. Kim, N. T., Martel, O. M., Pongkiatkul, P. and Berkowicz, R., "Determination of Fleet Hourly Emission and On-road Vehicle Emission Factor Using Integrated Monitoring and Modeling Approach," Atmos. Res., 89, 223(2008) https://doi.org/10.1016/j.atmosres.2008.02.005
  8. Prrish, D. D., "Critical Evaluation of US On-road Vehicle Emission Inventories,' Atmos. Environ., 40, 2288(2006) https://doi.org/10.1016/j.atmosenv.2005.11.033
  9. Skjoth, C. A., Geels, C., Hvidberg, M., Hertel, O., Brandt, J., Frohn, L. M., Hansen, K. M., Hedegard, G. B., Christensen, J. H. and Moseholm, L., "An Inventory of Tree Species in Europe-An Essential Data Input for Air Pollution Modeling," Ecol. Model., 217, 292(2008) https://doi.org/10.1016/j.ecolmodel.2008.06.023
  10. Wang, H., Chen, C., Huang, C. and Fu, L., "On-road Vehicle Emission Inventory and Its Uncertainty Analysis for Shanghai, China," Sci. Tot. Environ., 398, 60(2008) https://doi.org/10.1016/j.scitotenv.2008.01.038
  11. Toxic Release Inventory Support System, http://tri.nier.go.kr
  12. Korea Chemicals Management Association webpage, http://www.kcma.or.kr
  13. Traffic Monitoring System, http://www.road.re.kr
  14. Korea Transport Database, http://www.ktdb.go.kr
  15. Korea Energy Economics Institute, Report on Energy Census, Ministry of Commerce, Industry and Energy, GOVP1200629004(2004)
  16. National Air Pollutants Emission, http://airemiss.nier.go.kr
  17. Kim, M.-S., Kim, J. H., Park, H.-S., Sun, Y. S., Kim, H.-S., Choi, K. H. and Yi, J. h., "Emission Inventory of VOCs from Mobile Sources in a Metropolitan Region," Korean J. Chem. Eng., 23, 919(2006) https://doi.org/10.1007/s11814-006-0008-0
  18. Kim, M.-S., Kim, J. H., Park, H.-S., Sun, Y. S., Kim, H.-S., Choi, K. H. and Yi, J., "A New Approach for Estimating VOC Emissions from Anthropogenic Non-point Sources in Urban Communities," Korean J. Chem. Eng., 24, 763(2007) https://doi.org/10.1007/s11814-007-0039-1
  19. Mackay, D., 'Finding Fugacity Feasible,' Environ. Sci. Technol., 13, 1219(1979)
  20. Mackay, D. and Diamond, M., "Application of the QWASI (quantitative water air sediment interaction) Fugacity Model to the Dynamics of Organic and Inorganic Chemicals in Lakes," Chemosphere, 18, 1343(1989) https://doi.org/10.1016/0045-6535(89)90027-1
  21. Mackay, D. and Paterson, M., "Evaluating the Multimedia Fate of Organic Chemicals: A Level III Fugacity Model," Environ. Sci. Technol., 25, 427(1991) https://doi.org/10.1021/es00015a008
  22. van de Meent, D., SimpleBOX: A Generic Multi-media Fate Evaluation Model. RIVM Report No. 6727200001. Bilthoven, The Netherlands(1993)
  23. Deviller, J. and Bintein, S., "CHEMFRANCE: A Regional Level III Fugacity Model Applied to France," Chemosphere, 30, 457(1995) https://doi.org/10.1016/0045-6535(94)00425-T
  24. Fenner, K., Scheringer, M. and Hungerbuhler, K., "Persistence of Parent Compounds and Transformation Products in a Level IV Multimedia Model," Environ. Sci. Technol. 34, 3809(2000) https://doi.org/10.1021/es0000347
  25. Tao, S., Yang, Y., Cao, H. Y., Liu, W. X., Coveney, R. M., Xu, F. L., Cao, J., Li, B. G., Wang, X. J., Hu, J. Y. and Fang, J. Y., “Modeling the Dynamic Changes in Concentrations of g-hexachlorocy-Clohexane (g-HCH) in Tianjin Region from 1953 to 2020,” Environ. Pollut., 139, 183(2006) https://doi.org/10.1016/j.envpol.2004.12.013
  26. Cousins, I. T. and Mackay, D., "Strategies for Including Vegetation Compartments in Multimedia Models," Chemosphere, 44, 643 (2001) https://doi.org/10.1016/S0045-6535(00)00514-2
  27. Suzuki, N., Murasawa, K., Sakurai, T., Nansai, K., Matsuhashi, K., Moriguchi, Y., Tanabe, K., Nakasugi, O. and Morita, M., "Geo- Referenced Multimedia Environmental Fate Model (G-CIEMS): Model Formulation and Comparison to the Generic Model and Monitoring Approaches," Environ. Sci. Technol., 38, 5682(2004) https://doi.org/10.1021/es049261p
  28. Wania, F., "Spatial Variability in Compartmental Fate Modelling, Linking Fugacity Models and GIS," Environ. Sci. Pollut. Res., 3, 39(1996) https://doi.org/10.1007/BF02986813
  29. Woodfine, D., Macleod, M. and Mackay, D., 'A Regionally Segmented National Scale Multimedia Contaminant Fate Model for Canada with GIS Data Input and Display,' Environ. Pollut., 119, 341(2002) https://doi.org/10.1016/S0269-7491(01)00344-X
  30. Zhang, Q., Crittenden, J. C., Sonnard, D. and Mihelcic, J. R., "Development and Evaluation of an Environmental Multimedia Fate Model CHEMGL for the Great Lakes Region," Chemosphere, 50, 1377(2003) https://doi.org/10.1016/S0045-6535(02)00760-9
  31. Prevedouros, K., MacLeod, M., Jones, K. C. and Sweetman, A. J., "Modelling the Fate of Persistent Organic Pollutants in Europe: Parameterisation of A Gridded Distribution Model," Environ. Pollut, 128, 251(2004) https://doi.org/10.1016/j.envpol.2003.08.041
  32. Luo, Y., Gao, Q. and Yang, X., "Dynamic Modeling of Chemical Fate and Transport in Multimedia Environments at Watrshed Scale- I: Theoretical Considerations and Model Implementation," J. Environ. Manage., 83, 44(2007) https://doi.org/10.1016/j.jenvman.2006.01.017
  33. Yi, J., Shin, C. B. and Lee, W. G., 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)
  34. USEPA, Integrated Risk Information System(IRIS), http://cfpub. epa.gov/ncea/iris/index.cfm
  35. Dai, J. and Rocke, D. M., "A GIS-based Approach to Spatial Allocation of Area Source Solvent Emissions," Environ. Model. Soft., 15, 293-302(2000) https://doi.org/10.1016/S1364-8152(00)00004-9
  36. Mackay, D., Multimedia Environmental Fate Model: The Fugacity Approach, Second ed. Lewis publishers, Boca Raton, Florida (2001)
  37. Korea Meterological Administration webpage, http://www.kma. go.kr
  38. Seinfeld, J. H. and Pandis, S. N., Atmopspheric Chemistry and Physics from Air Pollution to Climate Change, John Wiley & Sons, INC., New York(1998)
  39. Water Management Information System, http://www.wamis.go.kr
  40. Jenson, S. K. and Domingue, J. O., 'Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis,' Photogramm. Eng. Rem. S., 54, 1593(1988)
  41. Maidment, D. R., ARC Hydro - GIS for Water Resources, First ed. ESRI Press, Redlands, California(2002)
  42. Chapra, S. C., Surface Water-quality Modeling, Second ed. McGraw- Hill, New York(1997)
  43. Priemer, D. A. and Diamond, M. L., "Application of the Multimedia Urban Model to Compare the Fate of SOCs in an Urban and Forested Watershed," Environ. Sci. Technol., 36, 1004(2002) https://doi.org/10.1021/es001397+
  44. Trapp, S. and Matthies, M., Chemodynamics and Environmental Modeling: An Introduction. First ed. Springer-Verlag, Berlin Heidelberg(1998)
  45. National Institute of Environmental Research, http://www.nier.go.kr