Identification-based Diagnosis of Rainfall ¿Stream Flow Data: the Tinderry Catchment

K.J. Keesman, P.C. Young, A. Jakeman

Research output: Contribution to conferenceConference paperAcademicpeer-review

Abstract

System identification tools, such as transfer function (TF) model structure identification, recursive estimation, time-varying parameter (TVP) estimation and assessment of data information, are used to evaluate the quality of rainfall-stream flow data from the Tinderry catchment (ACT, Australia) and the timevarying behaviour of the rainfall-stream flow dynamics. For the catchment, given the wide range and the abrupt changes of the single input-single output transfer functions describing different periods or events, we conclude that further investigation of (i) local rainfall effects, (ii) time-varying time delays (travelling time), (iii) time-varying residence times related to the base flow and (iv) occurrence of negative residues is needed. Periods with high and low data information content, for further use in effective parameter estimation procedures, are clearly indicated by the analysis.
Original languageEnglish
Publication statusPublished - 2011
Event8th IWA Conference on Systems Analysis and Integrated Assessment (Watermatex), San Sebastian, Spain -
Duration: 20 Jun 201122 Jun 2011

Conference

Conference8th IWA Conference on Systems Analysis and Integrated Assessment (Watermatex), San Sebastian, Spain
Period20/06/1122/06/11

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    Keesman, K. J., Young, P. C., & Jakeman, A. (2011). Identification-based Diagnosis of Rainfall ¿Stream Flow Data: the Tinderry Catchment. Paper presented at 8th IWA Conference on Systems Analysis and Integrated Assessment (Watermatex), San Sebastian, Spain, . https://edepot.wur.nl/216886