Inverse flood routing using simplified flow equations
2022, Research Square (Research Square)
https://doi.org/10.21203/RS.3.RS-1474940/V1Abstract
The paper considers the problem of inverse flood routing in reservoir operation strategy. The aim of the work is to investigate the possibility of determining the hydrograph at the upstream end based on the hydrograph required at the downstream end using simplified open channel flow models. To accomplish this, the linear kinematic wave equation, the diffusive wave equation and the linear Muskingum equation are considered. To achieve the hydrograph at the upstream end, an inverse solution of the aforementioned equations with backward integration in the x direction is carried out. For the numerical solution of the kinematic wave equation, the finite difference box scheme is used, whereas for the Muskingum equation, the -scheme is applied. It is shown that both these equations are able to provide satisfying results because of their exceptional properties related to numerical diffusion. In the paper, an alternative approach to solving inverse routing using the diffusive wave model and the Muskingum model is also presented. To this end, both models are described by a convolution which involves the instantaneous unit hydrograph (IUH) corresponding to the linear diffusive wave equation. Consequently, instead of a solution of partial or ordinary differential equations, the integral equation with Laguerre polynomials, used for the expansion of the upstream hydrograph, is solved.
Key takeaways
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- The study investigates inverse flood routing using simplified open channel flow equations for effective reservoir management.
- It employs the linear kinematic wave equation and the Muskingum equation in a backward integration approach.
- Numerical diffusion significantly influences the accuracy of inverse routing solutions, especially in the kinematic wave model.
- The convolution method with Laguerre polynomials provides an alternative approach for inverse flood routing accuracy.
- Empirical validation with real hydrological data is necessary to assess the practical applicability of the proposed methods.
References (28)
- Badfar M, Barati R, Dogan E, Tayfur G (2021) Reverse flood routing in rivers using line- ar and nonlinear Muskingum models. J Hydrol Eng 26(6): 04021018, DOI:10.1061/(ASCE)HE.1943-5584.0002088.
- Bodley WE, Wylie EB (1978) Control of transient in series channel with gates. Journal of Hydraulic Division ASCE, HY10: 1395-1407, doi.org/10.1061/JYCEAJ.0005085.
- Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, New York
- Cunge J (1969) On the subject of a flood propagation computational method (Muskingum method). J Hydr Res 7(2): 205-229, doi.org/10.1080/00221686909500264.
- Cunge J, Holly Jr FM, Verwey A (1980) Practical aspects of computational river hydrau- lics. London, Pitman.
- Eli RN, Wiggert JM, Contractor DN (1974) Reverse flow routing by the implicit method. Water Resour Res. 9(6): 1605-1612, doi:10.1029/WR010i003p00597
- Fletcher CAJ (1991) Computational techniques for fluid dynamics. Springer, Berlin.
- Gąsiorowski D (2013) Balance errors generated by numerical diffusion in the solution of non-linear open channel flow equations. J Hydrol 476: 384-394, doi.org/10.1016/j.jhydrol.2012.11.008.
- Gąsiorowski D, Szymkiewicz R (2007) Mass and momentum conservation in the simpli- fied flood routing models. J Hydrol 346: 51-58, doi.org/10.1016/j.jhydrol.2007.08.017.
- Gąsiorowski D, Szymkiewicz R (2018) Dimensionally consistent nonlinear Muskingum equation. J Hydrol Eng 23(9): doi: 10.1061/(ASCE)HE.1943-5584.0001691.
- Gąsiorowski D, Szymkiewicz R (2020) Identification of parameters influencing the accu- racy of the solution of the nonlinear Muskingum equation. Water Resour Manag, doi: org/10.1007/s11269-020-02599-0.
- Gill MA (1978) Flood routing by the Muskingum method. J Hydrol 36:353-363, doi.org/10.1016/0022-1694(78)90153-1.
- Hayami S (1951) On the propagation of flood waves. Kyoto Univ. Disaster Prevent. Res Inst Bull 1: 1-16.
- Koussis AD, Mazi K, Lykoudis S, Argiriou AA (2012) Reverse flood routing with the inverted Muskingum storage routing scheme. Nat. Hazards Earth Syst. Sci.12: 217-227, 10.5194/nhess-12-217-2012.
- McCarthy G T (1938) The unit hydrograph and flood routing. Paper presented at Confer- ence North Atlantic Division, U.S. Army Corps of Engineers, New London.
- Miller JE (1984) Basic concepts of kinematic wave model. Geological Survey profession- al paper 1302, US Government Printing Office, Washington.
- Morton KW, Mayers DF (2005) Numerical solution of partial differential equations. An introduction. Cambridge University Press.
- Press WH, Teukolsky SA, Veterling WT, Flannery BP (1992) Numerical recipes in C. Cambridge University Press: Cambridge
- Singh VP, Scarlatos PD (1987) Analysis of nonlinear Muskingum flood routing. J Hy- draul Eng ASCE 113(1), doi.org/10.1061/(ASCE)0733-9429(1987)113:1(61).
- de Sousa WT, Matt CF (2019) An unconditionally stable Laguerre based finite difference method for transient diffusion and convection-diffusion problems. Numer Math Theor Meth Appl 12(3), 681-708, doi:10.4208/nmtma.OA-2018-0026.
- Szymkiewicz R (1993) Solution of the inverse problem for the Saint Venant equations. J Hydrol, 147: 105-120, doi.org/10.1016/0022-1694(93)90077-M.
- Szymkiewicz R (1996) Numerical stability of implicit fourpoint scheme to inverse linear flood routing. J Hydrol 176: 13-23, doi.org/10.1016/0022-1694(95)02785-8.
- Szymkiewicz R (2002) An alternative IUH for the hydrological lumped models. J Hydrol 259(1-4): 246-254, doi.org/10.1016/S0022-1694(01)00595-9.
- Szymkiewicz R (2010) Numerical modeling in open channel hydraulics. Springer, New York.
- Szymkiewicz R, Gąsiorowski D (2021) Adaptive method for the solution of 1D and 2D advection-diffusion equations used in environmental engineering, J Hydroinformatics 23(6), 1290, doi: 10.2166/hydro.2021.062.
- Tung YK (1985) River flood routing by non-linear Muskingum method. J Hydraul Eng ASCE 111(12), doi: 10.1061/(ASCE)0733-9429(1985)111:12(1447).
- Warming RF, Hyett BJ (1974) The modified equation approach to the stability and accu- racy analysis of finite difference methods. J. Comput. Phys. 14: 159-179.
- Zucco G, Tayfur G, Moramarco T (2015) Reverse Flood Routing in Natural Channels using Genetic Algorithm. Water Resour Manage 29: 4241-4267, doi:10.1007/s11269- 015-1058-z.