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River flow forecasting using gene expression programming models

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dc.contributor.author Fernando, Achela
dc.contributor.author Shamseldin, Asaad
dc.contributor.author Abrahart, Robert
dc.date.accessioned 2012-09-04T23:13:44Z
dc.date.available 2012-09-04T23:13:44Z
dc.date.issued 2012-07
dc.identifier.uri http://hdl.handle.net/10652/1945
dc.description.abstract River flow forecasting models provide an essential tool to manage water resources, address problems associated with both excesses and deficits, and to find suitable solutions. With changing climate and environmental conditions, real-time methods that rely on data-driven methods of river flow forecasting has become appropriate enabling the use of real data from the recent past rather than relying on models based on the underlying hydrology of the catchment(s). This paper investigates the application of the novel datadriven technique of Gene Expression Programming (GEP) to develop one-day-ahead flow forecasting models for catchments with widely differing characteristics. The method differs from other more hitherto popular data-driven techniques that produce “Black-Box” models in that it generates a transparent model with a mathematical expression for the mapping from input parameters such as antecedent rainfall/runoff to the forecast flow. Four GEP models using GenXproTools® software developed for four catchments show that accurate forecasts fit for purpose can be made from these transparent models. en_NZ
dc.language.iso en en_NZ
dc.subject River flow forecasting en_NZ
dc.subject Gene expression programming en_NZ
dc.subject Data-driven methods en_NZ
dc.title River flow forecasting using gene expression programming models en_NZ
dc.type Conference Contribution - Paper in Published Proceedings en_NZ
dc.rights.holder Authors en_NZ
dc.subject.marsden 090509 Water Resources Engineering en_NZ
dc.identifier.bibliographicCitation Fernando, A.K., Shamseldin, A.Y., & Abrahart, R.J. (2012). River flow forecasting using gene expression programming models. In R. Hinkelmann, M.H. Nasermoaddeli, S.Y. Liong, D. Savic, P. Frohle, & K.F. Daemrich (Eds.). Proceedings of the 10th International Conference on Hydroinformatics, HIC 2012, Understanding changing climate and environment and finding solutions (USB ed.). Hamburg, Germany. en_NZ
unitec.institution Unitec Institute of Technology en_NZ
unitec.institution University of Auckland en_NZ
unitec.publication.title Proceedings of the 10th International Conference on Hydroinformatics, HIC 2012, Understanding changing climate and environment and finding solutions en_NZ
unitec.conference.title HIC 2012 - 10th International Conference on Hydroinformatics: "Understanding Changing Climate and Environment and Finding Solutions" en_NZ
unitec.conference.org International Water Association, International Association for Hydro-Environment Engineering and Research en_NZ
unitec.conference.location Hamburg en_NZ
unitec.conference.sdate 2012-07-14
unitec.conference.edate 2012-07-18
unitec.peerreviewed yes en_NZ
unitec.identifier.roms 53995


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