Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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A Sensitivity Analysis on Numerical Grid Size of a Three-Dimensional Hydrodynamic and Water Quality Model (EFDC) for the Saemangeum Reservoir

새만금호 3차원 수리.수질모델(EFDC)의 수치격자 민감도 분석

  • Jeon, Ji Hye (Department of Environmental Engineering, Chungbuk National University) ;
  • Chung, Se Woong (Department of Environmental Engineering, Chungbuk National University)
  • Published : 2012.01.30
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Abstract

Multi-dimensional hydrodynamic and water quality models are widely used to simulate the physical and biogeochemical processes in the surface water systems such as reservoirs and estuaries. Most of the models have adopted the Eulerian grid modeling framework, mainly because it can reasonably simulate physical dynamics and chemical species concentrations throughout the entire model domain. Determining the optimum grid cell size is important when using the Eulerian grid-based three-dimensional water quality models because the characteristics of species are assumed uniform in each of the grid cells and chemical species are represented by concentration (mass per volume). The objective of this study was to examine the effect of grid-size of a three dimensional hydrodynamic and water quality model (EFDC) on hydrodynamics and mass transport in the Saemangeum Reservoir. Three grid resolutions, respectively representing coarse (CG), medium (MG), and fine (FG) grid cell sizes, were used for a sensitivity analysis. The simulation results of numerical tracer showed that the grid resolution affects on the flow path, mass transport, and mixing zone of upstream inflow, and results in a bias of temporal and spatial distribution of the tracer. With the CG, in particular, the model overestimates diffusion in the mixing zone, and fails to identify the gradient of concentrations between the inflow and the ambient water.

Keywords

References

  1. 국립환경과학원(2008). 물환경시스템, http://water.nier.go.kr/.
  2. 박용우, 조양기, 신용식, 이창희(2006). 해수교환에 따른 영산강 하구역 염분 확산 영향 범위 수치 실험, 한국수자원학회논문집, pp. 557-561.
  3. 박희영(2008). 대산항의 EFDC를 이용한 3차원 준설 부유사이송에 관한 연구, 석사학위논문, 군산대학교, pp. 32-55.
  4. 서동일, 서미진, 구명서, 우제균(2008). EFDC-Hydro와 WASP7.2를 이용한 금강하류의 수리-수질 연계 모델링, 상하수도학회지, 23(1), pp. 15-22.
  5. 이정우(2005). 3차원 수리.수질 모형, EFDC를 이용한 저수지의 수질모의에 관한 연구, 석사학위논문, 충남대학교, pp. 32-68.
  6. 이화영(2008). 새만금호 완공에 따른 수질변화 모의, 석사학위논문, 군산대학교, pp. 14-60.
  7. 전지혜, 정세웅, 박형석, 장정렬(2011). 새만금호 수질예측 모의를 위한 EFDC 모형의 평가, 수질보전 한국물환경학회지, 27(4), pp. 445-460.
  8. 정희영(2010). EFDC 모형을 이용한 새만금 담수호 퇴적변화 분석, 석사학위논문, 충북대학교, pp. 17-23.
  9. 한국농어촌공사(2008). 새만금수역 수질환경조사 및 관리연구(IV), pp. 3-10.
  10. Borsuk, M. E., Stow, C. A., and Reckhow, K. H. (2004). A Bayesian Network of Eutrophication Models for Synthesis, Prediction, and Uncertainty Analysis, Ecological Modelling, 173, pp. 219-239.
  11. Chapra, C. S. (2002). Surface Water Quality Modeling, Mac Graw Hill, pp. 26-51.
  12. Chung, S. W., Hopsey, M. R., and Imberger, J. (2009). Modeling the Propagation of Turbid Density Inflows into a Stratified Lake: Daecheong Reservoir, Korea, Enviromental Modelling & Software, 24, pp. 1467-1482
  13. Cole, T. M. and Buchak, E. M. (1995). CE-QUAL-W2: A Two-dimensional, Laterally Averaged, Hydrodynamic and Water Quality Model, User's Manual, U.S. Army Engineers Waterways Experiment Station, Vicksburg, MS, pp. A-1-118.
  14. Hamrick, J. M. (1992). A Three Dimensional Environmental Fluid Dynamics Computer Code; Theoretical and Computational Aspects, Special Report. The College of William and Mary, Virginia Institute of Marine Science, Gloucester Point, VA, pp. 52-60.
  15. Hayter, E. J. and Svirsky, S. C. (2006). Evaluation of The State-of-The Art Contaminated Sediment Transport and Fate Modeling System, United States Environmental Protection Agency, pp. 12-70.
  16. Hodges, B. and Dallimore, C. (2010). ELCOM: Estuary, Lake and Coastal Ocean Model User's Manual, Centre for Water Research University of Western Australia, pp. 1-61.
  17. Jang, J. C., Jeffries, H., Byun, E., and Pleim, J. E. (1995). Sensitivity of Ozone to Model Grid Resolution-I.Application of High Resolution Reglonal Acid Deposition Model, Atmospheric Environment, 29(21), pp. 3085-3100.
  18. Ji, Z. G., John, H. H., and James, P. (2002). Sediment and Metals Modeling in Shallow River, Journal of Environmental Engineering, 128, pp. 105-109.
  19. Jiang, H. Z. and Shen, Y. M. (2009), Numerical Study on Salinity Stratification in the Ouijang River Estuary, Journal of Hydrodynamics, 21(6), pp. 835-842.
  20. Kuo, W. L., Steenjuis, T. S., McCulloch, C. E., Mohler, C. L., Weinstein, D. A., DeGloria, S. D., and Swaney, D. P. (1999). Effect of Grid Size on Runoff and Soil Moisture for a Variable Source Area Hydrology Model, Water Resources Research, 35(11), pp. 3419-3428.
  21. Miyakoda, K., Strickler, R. F., Nappo, C. J., Baker, P. L., and Hembee, G. D. (1971). The Effect of Horizontal Grid Resolution in an Atmospheric Circulation Model, Journal of the Atmospheric Sciences, 28, pp. 481-499.
  22. Molnar, D. K. and Juilen, P. Y. (2000). Grid-size Effects on Surface Runoff Modeling, Journal of Hydrologic Engineering, 5(1), pp. 8-16.
  23. Reckhow, K. H. (1994). Importance of Scientific Uncertainty in Decision Making, Environmental Management, 18(2), pp. 161-166.
  24. Sankaranarayanan, S. and Spaulding, M. L. (2003). A Study of the Effects of Grid Non-orthogonality on the Solution of Shallow Water Equations in Boundary-fitted Coordinate Systems, Journal of Computational Physics, 184, pp. 289-320.
  25. Tetra Tech, Inc. (2007). The Environmental Fluid Dynamics Code Theory and Computation, A Report to the U.S Environmental Protection Agency, Fairfax, VA, pp. 10-230.
  26. Usul, N. and Pasaogullari, O. (2004). Effect of Map Scale and Grid Size for Hydrological Modeling, Water Resources and Environment, 289, pp. 91-100.
  27. Vazquez, R. F., Feyen, L., Jehen, J., and Refsgaard, J. C. (2002). Effect of Grid Size on Effective Parameters and Model Performance of the MIKE-SHE Code, Hydrological Processes, 16, pp. 355-372.
  28. Werner, M. G. F. (2001). Impact of Grid Size in Gis Based Flood Extent Mappng Using a 1D Flow Model, Physics and Chemistry of the Earth Part(B): Hydrology, Oceans and Atmosphere, 26(7-8), pp. 517-522.
  29. Wickett, M. E., Caldeira, K., and Duffy, P. B. (2003). Effect of Grid Resolution on Simulation of Oceanic CFC-11 Uptake and Direct Injection of Anthropogenic $CO_2$, Journal of Geophysical Research, 108(C6), pp. 20-(1-12).
  30. Wool, T. A., Davie, S. R., and Rodriguez, H. N. (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-ASCE, 129(4), pp. 295-306.
  31. Zhen, G. J. (2007). Hydrodynamics and Water Quality Modeling Rivers, Lakes, and Extuaries, Wiley-Interscience, pp. 42-60.