DOI QR코드

DOI QR Code

2-D Hydrodynamic Analysis using EFDC in the Nakdong River - Focused on Velocity and Arrival Time Between Weirs -

EFDC 모형을 이용한 낙동강에서의 2차원 수리해석 - 보 구간의 유속 및 도달시간 중심으로 -

  • KIM, Beom-Jin (Structural Safety and Prognosis Research Division, Korea Atomic Energy Research Institute) ;
  • KIM, Byung-Hyun (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National Univ) ;
  • HAN, Kun-Yeun (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National Univ)
  • 김범진 (한국원자력연구원 기기구조예측진단연구부) ;
  • 김병현 (경북대학교 건설.환경.에너지공학부) ;
  • 한건연 (경북대학교 건설.환경.에너지공학부)
  • Received : 2020.04.27
  • Accepted : 2020.05.29
  • Published : 2020.06.30

Abstract

This study performed 2-D(two-dimensional) hydrodynamic analysis using EFDC in the Nakdong River. For the simulation of the flood season and non-flood season, the measured data including water level, weir outflow and tributary inflow were used, and the accuracy and applicability of the model were verified by comparing the measured water level and computed one. In addition, statistical quantitative assessment of the model performance was performed by estimating PBIAS, RSR, and RMSE for the computed water level. Then, the average velocity for each section between weirs was calculated by applying constant discharge conditions, and it was compared and verified with the measured velocity by Hydrological Survey Center. In this study, a simple method for estimating the arrival time was proposed, and it is expected that it will be practically applicable in field practices such as flood forecasting and warning.

본 연구에서는 낙동강을 대상으로 EFDC 모형을 구축하고, 2차원 수리해석을 수행하였다. 홍수기와 평수기에 대한 모의를 위해 실측수위, 보 방류량, 지류유입량을 포함하는 실측자료를 이용하였으며, 계산 결과를 관측소에서의 실측수위와 비교함으로서 적용 모형의 정확성과 적합성을 검증하였다. 또한, 계산결과에 대한 PBIAS, RSR, RMSE를 산정하여 모형의 통계적 정량적인 평가도 수행하였다. 모형의 검증 후 보의 일정 방류 시나리오 유량조건을 적용하여 각 보 구간별 평균유속을 산정하였으며, 산정된 평균유속은 유량조사사업단에서 조사한 평균유속과의 비교 및 검증을 실시하였다. 그리고 현장에서 실무적으로 적용 가능한 간편 도달시간 산정방법을 제안하고 그 방법을 적용하여 도달시간을 산정하였으며, 제안 방법은 홍수 예경보 등 현장의 실무에서 실제 적용이 가능할 것으로 기대된다.

Keywords

References

  1. Ahn, K.H., Kim, S.J. and Seo, D.I. 2011. Development of the inflow temperature regression model for the thermal stratification analysis in yongdam reservoir. Journal of Environment Impact Association 20(4):435-442
  2. Choi, H.G., Kim, D.I., Na, C.H. and Han, K.Y. 2012. Assessment of EFDC model for water quality analysis in nakdong river. Journal of Korea Water Resources Association 45(7):685-695 https://doi.org/10.3741/JKWRA.2012.45.7.685
  3. Franceschini, S. and Tsai, C.W. 2010. Assessment of uncertainty sources in water quality modeling in the Niagara River. Advances in Water Resources 33:493-503. https://doi.org/10.1016/j.advwatres.2010.02.001
  4. Glaser, D., Rhea, J.R., Opdyke, D.R., Russell, K.T., Ziegler, C.K., Ku, W., Zheng, L. and Mastriano, J. 2009. Model of zebra mussel growth and water quality impacts in the Seneca River, New York. Lake and Reservoir Management 25:49-72. https://doi.org/10.1080/07438140802714411
  5. Hur, Y.T. and Park, J.H 2009. Assessment of EFDC model for hydrodynamic analysis in the nakdong river. Journal of Korea Water Resources Association 42(4):309-317 https://doi.org/10.3741/JKWRA.2009.42.4.309
  6. James, S.C., Shrestha, P.L. and Roberts, J.D. 2006. Modeling noncohesive sediment transport using multiple sediment size classes. Journal of Coastal Research 22:1125-1132. https://doi.org/10.2112/05-0479.1
  7. Ji, J.G., Hamrick, J.H. and Pagenkopf, J. 2002. Sediment and metals modeling in shallow river. Journal of Environmental Engineering 128(2)105-119. https://doi.org/10.1061/(ASCE)0733-9372(2002)128:2(105)
  8. Jia, H., Wang, S., Wei, M. and Zhang, Y. 2011. Seceario analysis of water pollution control in the typical pori-urban river using a coupled hydrodynamic-water qualith model. Frontiers of Environmental Science&Engineering in China 5:255-265. https://doi.org/10.1007/s11783-010-0279-x
  9. Kang, H.S., Jang, J.H., Ahn, J.H. and Kim, I.J. 2011. Numerical estimations of nakdong river flows through linking of watershed and river flow models. Journal of Korea Water Resources Association 44(7):557-590
  10. Liu, Z., Hashim, N.B., Kingery, W.L., Huddleston D.H. and Xia, M. 2008. Hydrodynamic modeling of St.Louis bay estuary and watershed using EFDC and HSPF. Journal of Coastal Research 52:107-116.
  11. Luo, F. and Li, R. 2009. 3D water environment simulation for north jiangsu offshore sea based on EFDC. Water Resource and Protection 1:1-57. https://doi.org/10.4236/jwarp.2009.11001
  12. Mahabir, C., Hicks, F.E. and Fayek, A.R. 2003. Application of fuzzy logic to forecast seasonal runoff, Hydrologic Processes 17:3749-3762. https://doi.org/10.1002/hyp.1359
  13. MLTM(Ministry of Land, Transport and Maritime Affairs) 2009. Basic plan for the Nakdong river development and management(Revision) 1026pp.
  14. MLTM(Ministry of Land, Transport and Maritime Affairs) 2009. Basic plan for the Nakdong river development and management(Revision) 983pp.
  15. MOLIT(Ministry of Land, Infrastructure and Transport) 2013. Korea Annual Hydrological Report. http://www.hrfco.go.kr/web/sumun/floodgate.do?year=2010. (Accessed Aug 8, 2016).
  16. MOLIT(Ministry of Land, Infrastructure and Transport) 2014. Korea Annual Hydrological Report. http://www.hrfco.go.kr/web/sumun/floodgate.do?year=2010. (Accessed Aug 8, 2016).
  17. MOLIT(Ministry of Land, Infrastructure and Transport) 2014. Basic plan for the Nakdong river development and management(Revision) pp.3.3-3.156
  18. Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D. and Veith, T.L. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE 50:885-900. https://doi.org/10.13031/2013.23153
  19. Park, J.C., Choi, J.H., Song, Y.I., Song, S.J. and Seo, D.I. 2010. Water quality modeling of youngju dam reservoir by HSPF, EFDC and WASP. Journal of Environment Impact Association 19(5):465-473
  20. Suh, S.W. and Lee, H.Y. 2011. Analysis of hydrodynamic change around the saemangeum area using a particle tracking method. Journal of Korea Society of Coastal and Ocean Engineers 23(6):422-450. https://doi.org/10.9765/KSCOE.2011.23.6.422
  21. Wu, G. and Xu, Z., 2010. Prediction of algal blooming using EFDC model:Case study in the Daoxiang Lake. Ecological Modeling 222:1245-1252.
  22. Xia, M., Craig, P.M., Wallen, C.M., Stoddard, A., Jan M.P., Peng, M., Schaeffer, B. and Liu, Z. 2011. Numerical simulation of salinity and dissolved oxygen at perdido bay and adjacent coastal ocean. Journal of Coastal Research 27:73-86. https://doi.org/10.2112/JCOASTRES-D-09-00044.1