Flood Forecasting Using Artificial Neural Networks

by P Varoonchotikul

Book Details

Format Paperback / Softback

ISBN-10 9058096319

ISBN-13 9789058096319

Publisher A A Balkema Publishers

Imprint A A Balkema Publishers

Country of Manufacture NL

Country of Publication GB

Publication Date Jan 1st, 2003

Print length 112 Pages

Weight 210 grams

Product Classification: Limnology (freshwater)Environmental management Environmental science, engineering & technology Neural networks & fuzzy systems

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Ksh 22,500.00

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This work examines the use of advance warning models to predict flooding and flood damage. Specifically, it includes an examination of the Artificial Neural Network (ANN) rainfall-runoff model, its suitability, uses and limitations.

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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