Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Effects of the Voluntary Scheme of Total Maximum Daily Load based on Water Quality and Annual Evaluation data in the Gyeongan Watershed, South Korea

경안천 유역 수질 및 이행평가 자료를 통한 임의적 오염총량관리제도 시행의 성과 분석

  • Lee, Bum-Yeon (Department of Environmental Engineering and Energy, Myongji University) ;
  • Lee, Chang-Hee (Department of Environmental Engineering and Energy, Myongji University)
  • 이범연 (명지대학교 환경에너지공학과) ;
  • 이창희 (명지대학교 환경에너지공학과)
  • Received : 2021.04.29
  • Accepted : 2021.07.13
  • Published : 2021.07.30
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Abstract

This study presents the achievements and limitations of the voluntary-based Total Maximum Daily Load (TMDL) through statistical analysis of water quality monitoring data and performance assessments of TMDL plans implemented in the Gyeongan watershed. The results clearly showed that responsible local governments complied the allocated TMDL and the designated water quality goals were successfully achieved in the required period. This was possible because the Ministry of Environment provided innovative incentives, such as, relaxations of the existing tight land-use regulations and full-scale financial aids for constructing and operating public treatment facilities to draw local government voluntary participation. However, a couple of problems which decreased the effectiveness and efficiency of the voluntary TMDL were identified. The different TMDL implementation schedules between upstream (Yongin) and downstream (Gwangju) governments caused delay in water quality improvement and exaggerated TMDL allocation to the local development which made excessive investment in the treatment facilities. Although it is not directly related to the voluntary scheme, technical methods for establishing and assessing the water quality goals should be improved so that the effects of flow conditions on water quality are properly assessed. We expect that results of this case study contribute to developing a more effective voluntary-based scheme for the implementation of the so-called 'tributary TMDL' in the future.

Keywords

Acknowledgement

이 연구는 명지대학교 교원에게 부여되는 연구년 사업의 지원을 받았습니다.

References

  1. Allan, C., Curtis, A., Stankey, G., and Shindler, B. (2008). Adaptive management and watersheds: A social science perspective, Journal of the American Water Resources Association, 44(1), 166-174. https://doi.org/10.1111/j.1752-1688.2007.00145.x
  2. Babbar-Sebens, M. and Karthikeyan, R. (2009). Consideration of sample size for estimating contaminant load reductions using load duration curves, Journal of Hydrology, 372(1), 118-123. https://doi.org/10.1016/j.jhydrol.2009.04.008
  3. Bell, J. M., Doran, S., Finch, R., and Dupuis, T. (2007). Adaptive management: Developing staged TMDL implementation in rapidly urbanizing watersheds, Proceedings of the Water Environment Federation, 2007(5), 766-792. https://doi.org/10.2175/193864707786619837
  4. Benham. B., Zeckoski, R., and Yagow, G. (2008). Lessons from TMDL implementation case studies, Water Practice, 2(1), 1-13. https://doi.org/10.2175/193317708X281370
  5. Cabrera-Stagno, V. (2007). Developing effective TMDLs: An evaluation of the TMDL process, Proceedings of the Water Environment Federation, 2007(5), 443-453. https://doi.org/10.2175/193864707786619503
  6. Cha, S. M., Lee, S. W., Kim, L. H., Min, K. S., Lee, S. Y., and Kim, J. H. (2012). Investigation of stormwater runoff strength in an agricultural area, Korea, Desalination and Water Treatment, 38, 389-394.
  7. Darghouth, S., Ward, C., Gambarelli, G., Styger, E., and Roux, J. (2008). Watershed management approaches, policies, and operations: Lessons for scaling up, Water Sector Board discussion Paper Series Paper No. 11, The World Bank, Washington, D. C.
  8. Freeman, P. L., Nemura, A. D., and Dilks, D. W. (2004). Viewing total maximum daily loads as a process, not a singular value: Adaptive watershed management, Journal of Environmental Engineering, 130, 695-702. https://doi.org/10.1061/(ASCE)0733-9372(2004)130:6(695)
  9. Haire, M., Vega, R., Koenig, J., and Rafi, T. (2009). Handbook for developing watershed TMDLs, Proceedings of the Water Environment Federation, 2009(6), 520-548. https://doi.org/10.2175/193864709793958615
  10. Harrison, K W. (2007). Two-stage decision-making under uncertainty and stochasticity: Bayesian programming, Advances in Water Resources, 30(3), 641-664. https://doi.org/10.1016/j.advwatres.2006.03.006
  11. Hashim, W. A. (1998). Planning as process: A community guide to watershed planning, Washington state department of ecology, Washington.
  12. Helsel, D. R. and Hirsch, R. M. (2002). Statistical methods in water resources techniques of water resources investigations, Book 4, chapter A3, U. S. Geological survey, Reston, VA.
  13. Johnson, S. L., Whiteaker, T., and Maidment, D. R. (2009). A tool for automated load duration curve creation, Journal of the American Water Resources Association, 45(3), 654-663. https://doi.org/10.1111/j.1752-1688.2009.00313.x
  14. Kim, H. C. (2008). Education, psychology, social research methodology series, Research Methods[18] Nonparametric statistical analysis, Kyoyookbook. [Korean Literature]
  15. Moon, H. J. (2007). Watershed management and implementation of total pollution load management system (TPLMS) for water in Korea, Proceedings of the International Forum on Water Environmental Governance in Asia, Technologies and Institutional Systems for Water Environmental Governance.
  16. National Institute of Environmental Research (NIER). (2006). Advanced total pollution load management system for development and preservation, National Institute of Environmental Research. [Korean Literature]
  17. National Institute of Environmental Research (NIER). (2016). Total pollution load management system stage (Intermediate) evaluation manual (Draft), National Institute of Environmental Research. [Korean Literature]
  18. National Institute of Environmental Research (NIER). (2020). Total pollution load management system diagnosis and future vision, National Institute of Environmental Research. [Korean Literature]
  19. Paule, M. C. A., Ventura, J. R. S., Memon, S., Lee, B. Y., Jahng, D., Kang, M. J., and Lee, C. H. (2015). Fecal contamination in Yongin watershed: Association to land use and land cover and stormwater quality, Desalination and Water Treatment, 53(11), 3026-3038. https://doi.org/10.1080/19443994.2014.922281
  20. Reckhow, K. H. (2003). On the need for uncertainty assessment in TMDL modeling and implementation, Journal of Water Resources Planning and Management, 129(4), 245-246. https://doi.org/10.1061/(ASCE)0733-9496(2003)129:4(245)
  21. Shim, S., Kim, B., Hosoi, Y., and Masuda, T. (2005). Outflow of dissolved organic matter from agricultural fields in an irrigation period, Journal of Korea Society of Water Environment, 21(2), 141-146. [Korean Literature]
  22. Teague, A., Bedient, P. B., and Guven, B. (2011). Targeted application of seasonal load duration curves using multivariate analysis in two watersheds flowing into lake Houston, Journal of the American Water Resources Association, 47(3), 620-634. https://doi.org/10.1111/j.1752-1688.2011.00529.x
  23. United States Environmental Protection Agency (U. S. EPA.). (1991). Guidance for water quality-based decisions: The TMDL process, EPA 440/4-91-001, Washington, DC.
  24. United States Environmental Protection Agency (U. S. EPA.). (2002). The twenty needs report: How research can improve the TMDL program, EPA 841-B-02-002, Washington, DC.
  25. United States Environmental Protection Agency (U. S. EPA.). (2007). An approach for using load duration curves in the development of TMDLs, Office of Wetlands, Oceans and Watersheds, EPA 841-B-07-006, Washington, D.C.
  26. United States Environmental Protection Agency (U. S. EPA.). (2008). Handbook for developing watershed TMDLs (Draft), Washington, DC.
  27. Walter, C. J. (2007). Is adaptive management helping to solve fisheries problems?, AMBIO, 36(4), 304-307. https://doi.org/10.1579/0044-7447(2007)36[304:iamhts]2.0.co;2