Reverse flood routing with the inverted Muskingum storage routing scheme

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...

Full description

Bibliographic Details
Main Authors: A. D. Koussis, K. Mazi, S. Lykoudis, A. A. Argiriou
Format: Article
Language:English
Published: Copernicus Publications 2012-01-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/12/217/2012/nhess-12-217-2012.pdf
_version_ 1818553988880007168
author A. D. Koussis
K. Mazi
S. Lykoudis
A. A. Argiriou
author_facet A. D. Koussis
K. Mazi
S. Lykoudis
A. A. Argiriou
author_sort A. D. Koussis
collection DOAJ
description 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.
first_indexed 2024-12-12T09:33:11Z
format Article
id doaj.art-ae82c01b71ff43bc9d82791cfcab0ac9
institution Directory Open Access Journal
issn 1561-8633
1684-9981
language English
last_indexed 2024-12-12T09:33:11Z
publishDate 2012-01-01
publisher Copernicus Publications
record_format Article
series Natural Hazards and Earth System Sciences
spelling doaj.art-ae82c01b71ff43bc9d82791cfcab0ac92022-12-22T00:28:48ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812012-01-0112121722710.5194/nhess-12-217-2012Reverse flood routing with the inverted Muskingum storage routing schemeA. D. KoussisK. MaziS. LykoudisA. A. ArgiriouThis 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.http://www.nat-hazards-earth-syst-sci.net/12/217/2012/nhess-12-217-2012.pdf
spellingShingle A. D. Koussis
K. Mazi
S. Lykoudis
A. A. Argiriou
Reverse flood routing with the inverted Muskingum storage routing scheme
Natural Hazards and Earth System Sciences
title Reverse flood routing with the inverted Muskingum storage routing scheme
title_full Reverse flood routing with the inverted Muskingum storage routing scheme
title_fullStr Reverse flood routing with the inverted Muskingum storage routing scheme
title_full_unstemmed Reverse flood routing with the inverted Muskingum storage routing scheme
title_short Reverse flood routing with the inverted Muskingum storage routing scheme
title_sort reverse flood routing with the inverted muskingum storage routing scheme
url http://www.nat-hazards-earth-syst-sci.net/12/217/2012/nhess-12-217-2012.pdf
work_keys_str_mv AT adkoussis reversefloodroutingwiththeinvertedmuskingumstorageroutingscheme
AT kmazi reversefloodroutingwiththeinvertedmuskingumstorageroutingscheme
AT slykoudis reversefloodroutingwiththeinvertedmuskingumstorageroutingscheme
AT aaargiriou reversefloodroutingwiththeinvertedmuskingumstorageroutingscheme