Cargando…
Regionalization of Watersheds An Approach Based on Cluster Analysis /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2008.
|
| Edición: | 1st ed. 2008. |
| Colección: | Water Science and Technology Library,
58 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4020-6852-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220115175522.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2008 ne | s |||| 0|eng d | ||
| 020 | |a 9781402068522 |9 978-1-4020-6852-2 | ||
| 024 | 7 | |a 10.1007/978-1-4020-6852-2 |2 doi | |
| 050 | 4 | |a QE1-996.5 | |
| 072 | 7 | |a RBG |2 bicssc | |
| 072 | 7 | |a SCI081000 |2 bisacsh | |
| 072 | 7 | |a RBG |2 thema | |
| 082 | 0 | 4 | |a 551 |2 23 |
| 100 | 1 | |a Rao, A.R. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Regionalization of Watersheds |h [electronic resource] : |b An Approach Based on Cluster Analysis / |c by A.R. Rao, V. V. Srinivas. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Dordrecht : |b Springer Netherlands : |b Imprint: Springer, |c 2008. | |
| 300 | |a XI, 245 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Water Science and Technology Library, |x 1872-4663 ; |v 58 | |
| 505 | 0 | |a Regionalization by Hybrid Cluster Analysis -- Regionalization by Fuzzy Cluster Analysis -- Regionalization by Artificial Neural Networks -- Effect of Regionalization on Flood Frequency Analysis -- Concluding Remarks. | |
| 520 | |a 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. . | ||
| 650 | 0 | |a Geology. | |
| 650 | 0 | |a Water. | |
| 650 | 0 | |a Hydrology. | |
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Civil engineering. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Human geography. | |
| 650 | 1 | 4 | |a Geology. |
| 650 | 2 | 4 | |a Water. |
| 650 | 2 | 4 | |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | |a Civil Engineering. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Human Geography. |
| 700 | 1 | |a Srinivas, V. V. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789048177370 |
| 776 | 0 | 8 | |i Printed edition: |z 9789048116973 |
| 776 | 0 | 8 | |i Printed edition: |z 9781402068515 |
| 830 | 0 | |a Water Science and Technology Library, |x 1872-4663 ; |v 58 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4020-6852-2 |z Texto Completo |
| 912 | |a ZDB-2-EES | ||
| 912 | |a ZDB-2-SXEE | ||
| 950 | |a Earth and Environmental Science (SpringerNature-11646) | ||
| 950 | |a Earth and Environmental Science (R0) (SpringerNature-43711) | ||