Designing appropriate flood control measures requires knowing the frequency and extent of flooding in a particular watershed. Often, however, this data is not available. The authors have developed a new analytical technique called regional flood frequency analysis (RFFA) which can be used to stand in for some of this missing data. In this method, flood records are gathered from watersheds similar in characteristics to the one being investigated. This pooled data is then used to analyze the region in question. Clustering techniques, artificial set theory, and artificial neural networks are used to identify appropriately similar watersheds. Groups of watersheds are then further tested for homogeneity. The authors argue that using these methods allows for reuse of optimal design structures for similar watersheds and for better regionalization of flood control efforts.
This book can be found in HECSA Library:
Regionalization of Watersheds: An Approach Based on Cluster Analysis
A. Ramachandra Rao and V. V. Srinivas
GB 1399.2 .R355 2008