Flood Forecasting Using Artificial Neural Networks

1st Edition

P Varoonchotikul

CRC Press
Published January 1, 2003
Reference - 112 Pages
ISBN 9789058096319 - CAT# RU41378

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Summary

Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.

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