Buch, Englisch, Band 58, 245 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g
An Approach Based on Cluster Analysis
Buch, Englisch, Band 58, 245 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g
Reihe: Water Science and Technology Library
ISBN: 978-90-481-7737-0
Verlag: Springer Netherlands
Design of water control structures, reservoir management, economic evaluation of flood protection projects, land use planning and management, flood insurance assessment, and other projects rely on knowledge of magnitude and frequency of floods. Often, estimation of floods is not easy because of lack of flood records at the target sites. Regional flood frequency analysis (RFFA) alleviates this problem by utilizing flood records pooled from other watersheds, which are similar to the watershed of the target site in flood characteristics.
Clustering techniques are used to identify group(s) of watersheds which have similar flood characteristics. This book is a comprehensive reference on how to use these techniques for RFFA and is the first of its kind. It provides a detailed account of several recently developed clustering techniques, including those based on fuzzy set theory and artificial neural networks. It also documents research findings on application of clustering techniques to RFFA that remain scattered in various hydrology and water resources journals.
The optimal number of groups defined in an area is based on cluster validation measures and L-moment based homogeneity tests. These form the bases to check the regions for homogeneity.
The subjectivity involved and the effort needed to identify homogeneous groups of watersheds with conventional approaches are greatly reduced by using efficient clustering techniques discussed in this book. Furthermore, better flood estimates with smaller confidence intervals are obtained by analysis of data from homogeneous watersheds. Consequently, the problem of over- or under-designing by using these flood estimates is reduced. This leads to optimal economic design of structures. The advantages of better regionalization of watersheds and their utility are entering into hydrologic practice.
Audience:
This book will be of interest to researchers in stochastic hydrology, practitioners in hydrology and graduate students.
Srinivas / Rao
Regionalization of Watersheds jetzt bestellen!
Clustering techniques are used to identify group(s) of watersheds which have similar flood characteristics. This book is a comprehensive reference on how to use these techniques for RFFA and is the first of its kind. It provides a detailed account of several recently developed clustering techniques, including those based on fuzzy set theory and artificial neural networks. It also documents research findings on application of clustering techniques to RFFA that remain scattered in various hydrology and water resources journals.
The optimal number of groups defined in an area is based on cluster validation measures and L-moment based homogeneity tests. These form the bases to check the regions for homogeneity.
The subjectivity involved and the effort needed to identify homogeneous groups of watersheds with conventional approaches are greatly reduced by using efficient clustering techniques discussed in this book. Furthermore, better flood estimates with smaller confidence intervals are obtained by analysis of data from homogeneous watersheds. Consequently, the problem of over- or under-designing by using these flood estimates is reduced. This leads to optimal economic design of structures. The advantages of better regionalization of watersheds and their utility are entering into hydrologic practice.
Audience:
This book will be of interest to researchers in stochastic hydrology, practitioners in hydrology and graduate students.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Landschaftsplanung, Ländliche Planung
- Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Stadtplanung, Kommunale Planung
- Geowissenschaften Geologie Hydrologie, Hydrogeologie
- Geowissenschaften Geologie Limnologie (Süßwasser)
Weitere Infos & Material
Regionalization by Hybrid Cluster Analysis.- Regionalization by Fuzzy Cluster Analysis.- Regionalization by Artificial Neural Networks.- Effect of Regionalization on Flood Frequency Analysis.- Concluding Remarks.
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