2008
DOI: 10.1016/j.advwatres.2007.08.004
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An accurate time integration method for simplified overland flow models

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Cited by 57 publications
(33 citation statements)
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“…The non-inertia approximation further assumes that inertial terms can be neglected. Gottardi and Venutelli [31] have shown that this approximation is acceptable to simulate runoff flows as it yields results very close to the analytical and numerical solution of the full shallow water equations. The non-inertia approximation reads: @h @t …”
Section: Surface Modelmentioning
confidence: 86%
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“…The non-inertia approximation further assumes that inertial terms can be neglected. Gottardi and Venutelli [31] have shown that this approximation is acceptable to simulate runoff flows as it yields results very close to the analytical and numerical solution of the full shallow water equations. The non-inertia approximation reads: @h @t …”
Section: Surface Modelmentioning
confidence: 86%
“…In order to use that solution, we therefore perform simulations without any infiltration. The resulting hydrograph is provided as a reference as it represents the situation without infiltration [31]. Our model reproduces accurately the beginning of the event and the beginning of the recession, with a discrepency before reaching the steady state (see Fig.…”
Section: Coupled Model -Hortonian Runoffmentioning
confidence: 98%
“…These tests, proposed in [7,8] It is interesting to observe that when using a slope equal to 0.001 the simulations are quite different and in particular the kinematic approximation gives a poor prediction because, in this case, the numerical depth gradient contribution is not negligible in comparison to the bottom slope ( figure 2(a)). On the contrary, the solutions of the implemented schemes are very similar when using a slope equal to 0.04 ( figure 2(b)).…”
Section: Variable In Time Rainfall Intensity Over a Planementioning
confidence: 99%
“…with: (7,8,9,10) and ignoring also the depth gradient terms one may obtain the following kinematic model:…”
Section: Mathematical Modelmentioning
confidence: 99%
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