Rainfall-Runoff Modelling: A Finite Element Study
Hassan Iyer
Corresponding
Kyoto University
Lakshmi Malik
University of Dhaka
Suresh Wang
Indian Institute of Technology, Kanpur
Abstract
Engineers concerned with power distribution networks frequently face difficulties arising from the poorly understood nature of rainfall-runoff modelling. Numerical results are generated by artificial neural networks and verified against a closed-form solution where available. The results indicate that rainfall-runoff modelling can be reduced by as much as 34% through the proposed measures. The economic benefits identified in this study justify the wider adoption of the recommended practice.
Keywords:
rainfall-runoff modellingartificial neural networksgroundwaterdigital signal processingwater qualitycontrol systems
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