Flood Forecasting Using Artificial Neural Networks
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
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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