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Development of a Local-Scale Spatially Refined Multimedia Fate Model (LSRMFM) for Urban-Scale Risk Assessment: Model Formulation, GIS-Based Preprocessing, and Case Study

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Abstract

A local-scale spatially refined multimedia fate model (LSRMFM) was developed to evaluate in detail the multimedia transport of organic compounds at a spatial level. The model was derived using a combination of an advection–dispersion–reaction partial differential equation, a steady-state multimedia fugacity model, and a geographical information system. The model was applied to predicting four major volatile organic compounds that are produced as emissions (benzene, toluene, xylene, and styrene) in an urban and industrial area (the 50 × 50-km area was divided into 0.5 × 0.5-km segments) in Korea. To test the accuracy of the model, the LSRMFM was used to predict the extent of dispersion and the data compared with actual measured concentrations and the results of a generic multimedia fate model (GMFM). The results indicated that the method developed herein is appropriate for predicting long-term multimedia pollution. However, the comparison study also illustrated that the developed model has some limitations (e.g., steady-state assumption) in terms of explaining all the observed concentrations, and additional verification and study (e.g., validation using a large observed data set, integration with a more accurate runoff model) would be desirable. In comparing LSRMFM and GMFM, discrepancies between the LSRMFM and GMFM outputs were found, as the result of geographical effects, even though the environmental parameters were identical. The geographical variation for LSRMFM output indicated the existence of considerable local human and ecological risks, whereas the GMFM output indicated less average risk. These results demonstrate that the model has the potential for improving the management of pollutant levels under these refined spatial conditions.

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Acknowledgments

We are grateful to the ECO-Technopia-21 Project of the Ministry of Environment in Korea for financial support.

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Authors and Affiliations

  1. Samsung SDS, Yeoksam-dong 707-19, Gangnam-gu, Seoul, 151-742, South Korea

    Jong Ho Kim

  2. Chemical & Biological Engineering, Seoul National University, San 56-1, Sillim-9-Dong, Kwanak-Gu, Seoul, 151-742, South Korea

    Byoung Kyu Kwak & Jongheop Yi

  3. Department of Chemical Engineering, Ajou University, Wonchen-Dong, Yeongtong-Gu, Suwon, 433-749, Gyeonggi-do, South Korea

    Chee Burm Shin & Won Jin Jeon

  4. TO21, Lotte Tower 402-Ho, Sindaebang 2-dong, Dongjak-gu, Seoul, 156-711, South Korea

    Hyeon-Soo Park & Sun Woo Lee

  5. National Institute of Environmental Research, Environment Research Complex, Gyeongseo-dong, Seo-gu, Incheon, 404-170, South Korea

    Kyunghee Choi

  6. Korea Testing and Research Institute, 8-ga 88-2, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, 150-030, South Korea

    Woon Gi Lee, Jun Hee Lee & Sun Ho Baek

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  1. Jong Ho Kim
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  11. Jongheop Yi
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Correspondence to Jongheop Yi.

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Kim, J.H., Kwak, B.K., Shin, C.B. et al. Development of a Local-Scale Spatially Refined Multimedia Fate Model (LSRMFM) for Urban-Scale Risk Assessment: Model Formulation, GIS-Based Preprocessing, and Case Study. Environ Model Assess 16, 265–281 (2011). https://doi.org/10.1007/s10666-011-9250-x

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  • DOI: https://doi.org/10.1007/s10666-011-9250-x

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