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Communication Dans Un Congrès Année : 2009

Data-based mechanistic rainfall-runoff continuous-time modelling in urban context

Résumé

This paper presents a data-based mechanistic modelling (DBM) approach to rainfallrunoff modelling based on the direct identification and estimation of continuous-time models from discrete-time series. It is argued that many mechanistic model parameters are more naturally defined in the context of continuous-time, differential equation models. As a results, there are advantages if such models are identified directly in this continuous-time form rather than being formulated and identified as discrete-time models. An illustrative example based on the analysis of rainfall-flow data from the Kerinou catchment in Brest demonstrates the relevance of the proposed modelling approach.
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Dates et versions

hal-00406494 , version 1 (22-07-2009)

Identifiants

  • HAL Id : hal-00406494 , version 1

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Damien Kuss, Vincent Laurain, Hugues Garnier, Mathieu Zug, José Vasquez. Data-based mechanistic rainfall-runoff continuous-time modelling in urban context. 15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. pp.CDROM. ⟨hal-00406494⟩
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