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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 1
Nat. Hazards Earth Syst. Sci., 12, 217–227, 2012
https://doi.org/10.5194/nhess-12-217-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: 12th Plinius Conference on Mediterranean Storms

Nat. Hazards Earth Syst. Sci., 12, 217–227, 2012
https://doi.org/10.5194/nhess-12-217-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Jan 2012

Research article | 20 Jan 2012

Reverse flood routing with the inverted Muskingum storage routing scheme

A. D. Koussis1, K. Mazi1, S. Lykoudis1, and A. A. Argiriou2 A. D. Koussis et al.
  • 1Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Greece
  • 2Department of Physics, University of Patras, Greece

Abstract. This work treats reverse flood routing aiming at signal identification: inflows are inferred from observed outflows by orienting the Muskingum scheme against the wave propagation direction. Routing against the wave propagation is an ill-posed, inverse problem (small errors amplify, leading to large spurious responses); therefore, the reverse solution must be smoothness-constrained towards stability and uniqueness (regularised). Theoretical constrains on the coefficients of the reverse routing scheme assist in error control, but optimal grids are derived by numerical experimentation. Exact solutions of the convection-diffusion equation, for a single and a composite wave, are reverse-routed and in both instances the wave is backtracked well for a range of grid parameters. In the arduous test of a square pulse, the result is comparable to those of more complex methods. Seeding outflow data with random errors enhances instability; to cope with the spurious oscillations, the reversed solution is conditioned by smoothing via low-pass filtering or optimisation. Good-quality inflow hydrographs are recovered with either smoothing treatment, yet the computationally demanding optimisation is superior. Finally, the reverse Muskingum routing method is compared to a reverse-solution method of the St. Venant equations of flood wave motion and is found to perform equally well, at a fraction of the computing effort. This study leads us to conclude that the efficiently attained good inflow identification rests on the simplicity of the Muskingum reverse routing scheme that endows it with numerical robustness.

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