USE OF PARAMETER OPTIMIZATION TO ESTIMATE A FLOOD WAVE: POTENTIAL APPLICATIONS TO REMOTE SENSING OF RIVERS

Roux H.; Dartus D.

dc.contributor.author	Roux H.
dc.contributor.author	Dartus D.
dc.date.accessioned	2025-02-16T08:50:51Z
dc.date.available	2025-02-16T08:50:51Z
dc.date.issued	2006
dc.identifier	https://www.elibrary.ru/item.asp?id=28062493
dc.identifier.citation	Journal of Hydrology, 2006, 328, 1-2, 258-266
dc.identifier.issn	0022-1694
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/48069
dc.description.abstract	In this paper, the potential for identifying discharge and/or flood hydrograph from remotely sensed data is explored. The parameter identification process is based on the minimization of the difference between the solution of the model equations and the observed system response which consists in maximum inundation extent. The river geometry is supposed to be known, effect of the accuracy of these data on the estimation has been tested. Sensitivity of the model to individual parameters is then assessed using an extension of the generalized sensitivity analysis. Synthetic data have been used to test the methodology. Results show that the Nash criterion of the estimated flood hydrograph is higher than 0.9 for all the tested cases. © 2006 Elsevier B.V. All rights reserved.
dc.subject	ERROR CRITERION
dc.subject	ESTIMATION OF RIVER DISCHARGE
dc.subject	FLOOD WAVE
dc.subject	INVERSE PROBLEM
dc.subject	REMOTELY SENSED DATA
dc.title	USE OF PARAMETER OPTIMIZATION TO ESTIMATE A FLOOD WAVE: POTENTIAL APPLICATIONS TO REMOTE SENSING OF RIVERS
dc.type	Статья
dc.identifier.doi	10.1016/j.jhydrol.2005.12.025