Title: Prediction of inflows from dam catchment using genetic programming

Authors: Md Atiquzzaman; Jaya Kandasamy

Addresses: Faculty of Engineering and Information Technology, School of Civil Engineering, University Technology Sydney, Room: CB11.11.213, P.O. Box 123, Broadway, NSW 2007, Australia ' Faculty of Engineering and Information Technology, School of Civil Engineering, University Technology Sydney, Room: CB11.11.213, P.O. Box 123, Broadway, NSW 2007, Australia

Abstract: Application of hydroinformatics tools for managing water resources is common in the water industry. Over the last few decades, several hydroinformatics tools including genetic programming (GP) have been developed and applied in hydrology. GP has been successfully applied for calibration of numerous event-based rainfall and runoff models. However, applying GP to predict long-term time series for the management of water resources is limited. This study demonstrates GP's application in long-term prediction of catchment runoff concerning a dam located in Oberon, New South Wales, Australia. The calibration showed excellent agreement between the observed and simulated flows recorded over 30 years. The model was then applied for the assessment of catchment yields for a future 100 years flows based on two assumed climatic scenarios.

Keywords: MIKE11-NAM; hydroinformatics; climate scenarios; forecasting; hydrology; rainfall prediction; inflows; genetic programming; inflow prediction; catchment runoff; dam catchment; water management; water resources; Australia; flow simulation.

DOI: 10.1504/IJHST.2016.075560

International Journal of Hydrology Science and Technology, 2016 Vol.6 No.2, pp.103 - 117

Received: 05 Mar 2015
Accepted: 22 Jul 2015
Published online: 28 Mar 2016 *

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