DOI QR코드

DOI QR Code

Influence Analysis of Temporal Continuity Change of Flow Data on Load Duration Curve

유량자료의 시간적 연속성 변화가 오염부하지속곡선에 미치는 영향 비교 분석

  • Kwon, Pil Ju (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Han, Jeong Ho (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Ryu, Ji chul (Watershed and Total Load Management Research Division, National Institute of Environmental Research) ;
  • Kim, Hong Tae (Watershed and Total Load Management Research Division, National Institute of Environmental Research) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kim, Jong Gun (Department of Regional Infrastructures Engineering, Kangwon National University)
  • 권필주 (강원대학교 지역건설공학과) ;
  • 한정호 (강원대학교 지역건설공학과) ;
  • 류지철 (국립환경과학원 유역총량연구과) ;
  • 김홍태 (국립환경과학원 유역총량연구과) ;
  • 임경재 (강원대학교 지역건설공학과) ;
  • 김종건 (강원대학교 지역건설공학과)
  • Received : 2017.04.25
  • Accepted : 2017.07.03
  • Published : 2017.07.30

Abstract

In korea, TMDL is being implemented to manage nonpoint pollution sources as well as point pollution sources. LDC is being used for the planning of TMDL. In order to analyze the water quality using LDC, it is necessary to prepare FDC using the daily flow data. However, only the daily flow data is measured at the WAMIS branch, and 8days flow data and water quality data are measured at the monitoring Networks. So, in many researches, the water quality is being grasped by deriving the LDC using the 8days flow or the daily flow obtained by various methods. These fluctuations may lead to differences in determining whether the target load is achieved. In this study, each LDC was prepared using the 8day flow and the related daily flow. Then, the effect using different flow data on the achievement of target load was compared according to flow conditions. As a result, the difference ratio in the number of overloads under flow condition was showed 19% in high flows, 42% in moist conditions, 49% in mid-range flows, 41% in dry conditions, and 104% in low flows. In the top ten watershed with the highest difference ratio, the flow became lower the difference ration increases. These differences can cause uncertainty in assessing the achievement of target load using LDC. Therefore, in order to evaluate the water quality accurately and reliably using LDC, accurate daily flow data and water quality data should be secured through the installation of national nonpoint measurement network.

Keywords

References

  1. Choi, K. W., Shin, K. Y., Lee, H. J. and, and Jun, S. H. (2012). Assessment of the Water Quality of Jungnang Stream by Flow Conditions Using Load Duration Curve, Korean Journal of Environmental Health Sciences, 38(5), 438-447. [Korean Literature] https://doi.org/10.5668/JEHS.2012.38.5.438
  2. Cleland, B. R. (2003). TMDL Development from the "bottom up"-Part III: Duration Curves and Wet-Weather Assessments, Proceedings of the Water Environment Federation, National TMDL Science and Policy 2003, Water Environment Federation, 1740-1766.
  3. Han, S. H., Shin, S. H., and Kim, S. D. (2007). Applicability of Load Duration Curve to Nakdong River Watershed Management, Journal of Korean Society on Water Environment, 23(5), 620-627. [Korean Literature]
  4. Hirsch, R. M. (1982). A Comparison of Four Streamflow Record Extension Techniques, Water Resources Research, 18(4), 1081-1088. https://doi.org/10.1029/WR018i004p01081
  5. Hwang, H. S., Park, B. K., Kim, Y. S., Park, K. J., Cheon, S. U., and Lee, S. J. (2011). Research on the Applicability of the Load Duration Curve to Evaluate the Achievement of Target Water Quality in the Unit Watershed for a TMDL, Journal of Korean Society on Water Environment, 27(6), 885-895. [Korean Literature]
  6. Hwang, H. S., Yoon, C. G.. and Kim, J. T. (2011). Application Load Duration Curve for Evaluation of Impaired Watershed at TMDL Unit Watershed in Korea, Journal of Korean Society on Water Environment, 4-13. [Korean Literature]
  7. Kang, D. K., Kang, S. K., Kim, S. D., and Shin, H. S. (2007). Development of Load Duration Curve Methodology for TMDL Evaluation, Korea Water Resource Association, 652-656. [Korean Literature]
  8. Kim, J. G., Engel, B. A., Park, Y. S., Theller, L., Chaubey, I., Kong, D. S., and Lim, K. J. (2012). Development of Web-based Load Duration Curve System for Analysis of Total Maximum Daily Load and Water Quality Characteristics in a Waterbody, Journal of Environmental Management, 97, 46-55.
  9. Mandal, U. and Cunnane, C. (2009). Low-flow prediction for ungauged river catchments in Ireland, In Irish National Hydrology Seminar, 33-48.
  10. Ministry of Environment (MOE). (2013). Intergrated Monitoring and Management Plan for Non-Point Pollutin(1), Ministry of Environment. [Korean Literature]
  11. Ministry of Environment (MOE). (2014). Development of Load Duration Curve System for Effective Enforcement of Total Maximum Daily Loads, Ministry of Environment. [Korean Literature]
  12. Nevada Division of Environmental Protection (NDEP). (2003). Load Duration Curve Methodology for Assessment and Total Maximum Daily Load Development, Nevada Division of Environmental Protection, 1-3.
  13. Park, J. D. and Oh, S. Y. (2012). Methodology for the Identification of Impaired Waters Using LDC for the Management of Total Maximum Daily Loads, Journal of Korean Society on Water Environment, 28(5), 693-703. [Korean Literature]
  14. Park, J. D., Park, J. H., Oh, S. Y., Ahn, G. H., and Choi, Y. H. (2012). Development of Long Term Flow Duration Curves for the Management of TMDLs, National Institute of Environmental Research. [Korean Literature]
  15. Ries, K. G. and Friesz, P. J. (2000). Methods for Estimating Low-Flow Statistics for Massachusetts Streams, Report 00-4135, US Department of the Interior, U.S. Geological Survey, Massachusetts, 1-81.
  16. Ryu, J. C., Hwang, H. S., Lee, S. J., Kim, E. K., Kim, Y. S., Kum, D. H., Lim, K. J., and Jung, Y. H. (2016). Development of Desktop-Based LDC Evaluation System for Effectiveness TMDLs, Journal of The Korean Society of Agricultural Engineers, 58(4), 67-74. [Korean Literature] https://doi.org/10.5389/KSAE.2016.58.4.067
  17. Seo, J. Y., Shin, M. H., Choi, Y. H., Kim, K. C., Lim, K. J., Choi, J. D., and Jun, M. S. (2008). Investigation of Pollution Sources for Gongjichun Watershed, Korea Water Resource Association, 2051-2055. [Korean Literature]
  18. United States Environmental Protection Agency (U.S.EPA). (2007). An Approach for Using Load Duration Curves in the Development of TMDLs, 841-B-07-006, United States Environmental Protection Agency, 1-68.
  19. Vogel, R. M. and Fennessey, N. M. (1994). Flow-Duration Curves. I: New Interpretation and Confidence Intervals, Journal of Water Resources Planning and Management, 120(4), 485-504. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:4(485)
  20. Zampella, R. A., Dow, C. L., and Bunnell, J. F. (2001). Using Reference Sites and Simple Linear Regression to Estimate Long-Term Water Levels in Coastal Plain Forests, Journal of the American Water Resources Association, 37(5), 1189-1201. https://doi.org/10.1111/j.1752-1688.2001.tb03631.x