Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Modeling Sedimentation Process in Ipjang Reservoir using SWAT and EFDC

SWAT-EFDC 연계 모델링을 통한 입장저수지의 유사 해석

  • Shin, Sat Byeol (Tropical Research and Education Center (TREC)/Agricultural and Biological Engineering (ABE) Department Institute of Food and Agricultural Sciences (IFAS), University of Florida) ;
  • Hwang, Soon-Ho (Department of Rural Systems Engineering, Seoul National University) ;
  • Her, Younggu (Tropical Research and Education Center (TREC)/Agricultural and Biological Engineering (ABE) Department Institute of Food and Agricultural Sciences (IFAS), University of Florida) ;
  • Song, Jung Hun (Tropical Research and Education Center (TREC)/Agricultural and Biological Engineering (ABE) Department Institute of Food and Agricultural Sciences (IFAS), University of Florida) ;
  • Kim, Hak Kwan (Institutes of Green Bio Science and Technology, Seoul National University) ;
  • Kang, Moon Seong (Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Institutes of Green Bio Science and Technology, Seoul National University)
  • Received : 2018.03.13
  • Accepted : 2018.05.09
  • Published : 2018.05.31
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Abstract

Reservoir sedimentation is a major environmental issue, and various sediment load controls and plans have been proposed to secure clean and safe water resources. The objectives of this study were to estimate soil loss in the upper basins and predict sediment deposition in Ipjang reservoir using hydrologic and hydraulic model. To do so, SWAT (Soil and Water Assessment Tool) and EFDC (Environmental Fluid Dynamics Code) was used to estimate soil loss in two upper basins and to predict spatial distribution and amount of sediment deposition in the Ipjang reservoir, respectively. The hydrologic modeling results showed that annual average soil loss from the upper basins was 500 ton. The hydraulic modeling results demonstrated that sediment particles transported to the reservoir were mostly trapped in the vicinity of the reservoir inlet and then moved toward the bank over time. If long-term water quality monitoring and sediment survey are performed, this study can be used as a tool for predicting the dredging amount, dredging location and proper dredging cycle in the reservoir. The study findings are expected to be used as a basis to establish management solutions for sediment reduction.

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References

  1. Ahn, J. H., S. H. Jang, W. S. Choi, and Y. N. Yoon, 2006. An efficient management of sediment deposit for reservoir long-term operation (I). Journal of Korean Society on Water Quality 22(6): 1088-1093 (in Korean).
  2. Arnold, J. G., J. R. Kiniry, R. Srinivasan, J. R. Williams, E. B. Haney, and S. L. Neitsch, 2013. SWAT 2012 Input/ Output documentation. Texas Water Resources Institute.
  3. Bang, K. Y., 2013. Numerical modeling of seasonal sedimentary processes and sediment budget in the Youngsan river estuary, Korea. Ph.D. Diss., Incheon, Republic of Korea: Inha University (in Korean).
  4. Choi, J. Y., and B. D. Lee, 2009. Measures for the nonpoint source management of disused mines in multipurpose dam watersheds. 4-32, Korea Environment Institute (in Korean).
  5. Hamrick, J. H., 1992. A three-dimensional environmental fluid dynamics computer code: Theoretical and computational aspects. Applied Marine Science and Ocean Engineering, Special report No. 317, Verginia Institute of Marine Science, Gloucester Point, VA.
  6. Her, Y., J. Frankenberger, I. Chaubey, and R. Srinivasan, 2015. Threshold effects in HRU definition of the Soil and Water Assessment Tool. Transactions of the ASABE 58(2): 367-378. doi:10.13031/trans.58.10805.
  7. Im, S. J., K. M. Brannan, S. Mostaghimi, and S. M. Kim, 2007. Comparison of HSPF and SWAT models performance for runoff and sediment yield prediction. Journal of Environmental Science and Health Part A 42(11): 1561-1570. doi:10.1080/10934520701513456.
  8. Jeong, H. S., 2014. Modeling Socio-Hydrological systems for waste water reused watersheds. Ph.D. Diss., Seoul, Republic of Korea: Seoul National University.
  9. Jothiprakash, V., and V. Garg, 2008. Re-took to conventional techniques for trapping efficiency estimation of a reservoir. International Journal of Sediment Research 23(1): 76-84. doi:10.1016/S1001-6279(08)60007-4.
  10. Jung, C. G., S. R. Ahn, S. J. Kim, H. J. Yang, H. J. Lee, and G. A. Park, 2013. HSPF and SWAT modeling for identifying runoff reductioin effect of nonpoint source pollugion by rice straw mulching on upland crops. Journal of the Korean Society of Agricultural Engineers 55(2): 47-57. doi:10.5389/KSAE.2013.55.2.047 (in Korean).
  11. Kang, M. S., 2002. Development of total maximum daily loads simulation system using artificial neural networks for satellite data analysis and nonpoint source pollution models. Ph.D. Diss., Seoul, Republic of Korea: Seoul National University.
  12. Kang, M. S., S. W. Park, S. J. Im, and H. K. Kim, 2003. Computing the half-month rainfall-runoff erosivity factor for RUSLE. Journal of the Korean Society of Agricultural Engineers 45(3): 29-40 (in Korean).
  13. Kim, J. H., G. H. Park, K. C. Kim, and K. S. Suh, 2011. Numerical simulations for dispersion of the suspended sediments near Daesan coastal areas. Journal of the Korean Society of Environmental Engineers 33(1): 16-24 (in Korean). https://doi.org/10.4491/KSEE.2011.33.1.016
  14. Kim, J. K., K. H. Son, J. W. Noh, and S. U. Lee, 2008. Estimation of suspended sediment load in Imha-Andong watershed using SWAT model. Journal of Korean Society of Environmental Engineers 30(12): 1209-1217 (in Korean).
  15. Kim, S. J., T. Y. Park, M. W. Jang, and S. M. Kim, 2010. Flood runoff estimation for the streamflow stations in Namgang-Dam watershed considering forest runoff characteristics. Journal of the Korean Society of Agricultural Engineers 52(6): 85-94. doi:10.5389/KSAE. 2010.52.6.085 (in Korean).
  16. Kim, S. S., J. S. Kim, K. Y. Bang, E. M. Gwon, W. J. Chung, 2002. The estimation of the unit load and characteristics of nonpoint source discharge according to rainfall in Kyongan watershed. Journal of Korean Society of Environmental Engineers 24(11): 2019-2027 (in Korean).
  17. Lee, D. J., and Y. K. Park, 2013. A study on the sediment deposition height computation at Gunsan port using EFDC. Journal of Korea Water Resrouces Association 46(5): 531-545. doi:10.3741/JKWRA.2013.46.5.531 (in Korean).
  18. Lee, H. D., J. H. Ahn, C. H. Bae, and W. J. Kim, 2001. Estimation of the unit loading and total loading of nonpoint source in Paldang watershed by runoff loading during the rainfall. Journal of Korean Society on Water Environment 17(3): 313-326 (in Korean).
  19. Lee, J. M., J. C. Ryu, H. W. Kang, H. S. Kang, D. H. Kum, C. H. Jang, J. D. Choi, and K. J. Lim, 2012. Evaluation of SWAT flow and sediment estimation and effects of soil erosion best management practices. Journal of the Korean Society of Agricultural Engineers 54(1): 99-108. doi:10.5389/KSAE.2012.54.1.099 (in Korean).
  20. Liu, W. C., W. T. Chan, and D. W. Tsai, 2016. Three- dimensional modelling of suspended sediment transport in a subalpine lake. Environmental Earth Sciences 75(2): 173. doi:10.1007/s12665-015-5069-0.
  21. Moriasi, D. M., M. W. Gitau, N. Pai, and P. Daggupati, 2015. Hydrologic and water quality models: Performance measures and evaluation criteria. Transactions of the ASABE 58(6): 1763-1785. doi:10.13031/trans.58.10715.
  22. Nam, W. H., 2013. Substantiality and operations evaluation of agricultural reservoirs based on probability theory. Ph.D. Diss., Seoul, Republic of Korea: Seoul National University (in Korean).
  23. Noh, H. J., J. M. Kim, Y. D. Kim, and B. S. Kang, 2013. Prediction of water quality effect of watershed runoff change in Doam reservoir. Journal of the Korean Society of Civil Engineers 33(3): 975-985. doi:10.12652/Ksce. 2013.33.3.975 (in Korean).
  24. Noh, J. W., K. S. Lee, Y. T. Hur, and Y. S. Kim, 2014. Simulation of long-term reservoir sedimentation and flushing. Journal of the Korean Society of Hazard Mitigation 14(4): 333-341. doi:10.9798/KOSHAM.2014.14.4.333 (in Korean).
  25. Park, J. C., J. H. Choi, Y. I, Song, S. J. Song, and D. I. Seo, 2010. Water quality modeling of Youngju dam reservoir by HSPF, EFDC and WASP. Journal of Environmental Impact Assessment 19(5): 465-473 (in Korean).
  26. Ryoo, J. I., 2010. Analysis the transport and sedimentation processes of cohesive and non-cohesive sediments induced into a navigational river using EFDC. Ph.D. Diss., Chungbuk, Republic of Korea: Chungbuk National University (in Korean).
  27. Singh, J., H. Knapp, J. G. Arnold, and M. Demissie, 2005. Hydrological modeling of the Iroquois river watershed using HSPF and SWAT. Journal of the American Water Resources Association 41(2): 343-360. doi:10.1111/j.1752- 1688.2005.tb03740.x.
  28. Song, J. H., 2017. Hydrologic analysis system with multi-objective optimization for agricultural watersheds. Ph.D. Diss., Seoul, Republic of Korea: Seoul National University.
  29. Song, X., Z. Duan, Y. Kono, and M. Wang, 2011. Integration of remotely sensed C factor into SWAT for modeling sediment yield. Hydrological Process 25: 3387-3398. doi:10.1002/hyp.8066.
  30. Tetra Tech, 1999. Three-dimensional hydrodynamic and water quality model of Peconic estuary, for Peconic estuary program.
  31. Won, C. H., Y. H. Choi, J. Seo, K. Kim, M. Shin, and J. Choi, 2009. Determination of EMC and unit loading of rainfall runoff from forestry-crops field. Journal of Korean Society on Water Quality 25(4): 615-623 (in Korean).
  32. Wool, T. A., S. R. Davie, and H. N. Rodriguez, 2003. Development of three-dimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse river estuary, North Carolina. Journal of water resources planning and management 129(4): 295-306. doi:10.1061/(ASCE)0733- 9496(2003)129:4(295).
  33. Yoon, Y. N., 1988. Reservoir deposition. Journal of Korean Association of Hydrological Sciences 21(1): 9-15 (in Korean).
  34. Zhao, L., Y. Li, R. Zou, B. He, X. Zhu, Y. Liu, and J. Wang, 2013. A three-dimensional water quality modeling approach for exploring the eutrophication responses to load reduction scenarios in lake Yilong (China). Environmental Pollution 177: 13-21. doi:10.1016/j.envpol.2013.01.047.