000 | 04179nam a22005775i 4500 | ||
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001 | 978-1-4020-6852-2 | ||
003 | DE-He213 | ||
005 | 20161121230913.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2008 ne | s |||| 0|eng d | ||
020 |
_a9781402068522 _9978-1-4020-6852-2 |
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024 | 7 |
_a10.1007/978-1-4020-6852-2 _2doi |
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050 | 4 | _aGB1001-1199.8 | |
072 | 7 |
_aRBK _2bicssc |
|
072 | 7 |
_aSCI081000 _2bisacsh |
|
082 | 0 | 4 |
_a551.4 _223 |
100 | 1 |
_aRao, A. Ramachandra. _eauthor. |
|
245 | 1 | 0 |
_aRegionalization of Watersheds _h[electronic resource] : _bAn Approach Based on Cluster Analysis / _cby A. Ramachandra Rao, V.V. Srinivas. |
264 | 1 |
_aDordrecht : _bSpringer Netherlands, _c2008. |
|
300 |
_aXI, 245 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aWater Science and Technology Library, _x0921-092X ; _v58 |
|
505 | 0 | _aRegionalization by Hybrid Cluster Analysis -- Regionalization by Fuzzy Cluster Analysis -- Regionalization by Artificial Neural Networks -- Effect of Regionalization on Flood Frequency Analysis -- Concluding Remarks. | |
520 | _aDesign 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 | _aEarth sciences. | |
650 | 0 | _aHydrology. | |
650 | 0 | _aHydrogeology. | |
650 | 0 | _aPattern recognition. | |
650 | 0 | _aRegional planning. | |
650 | 0 | _aUrban planning. | |
650 | 0 | _aStatistics. | |
650 | 0 | _aCivil engineering. | |
650 | 1 | 4 | _aEarth Sciences. |
650 | 2 | 4 | _aHydrogeology. |
650 | 2 | 4 | _aHydrology/Water Resources. |
650 | 2 | 4 | _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
650 | 2 | 4 | _aCivil Engineering. |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aLandscape/Regional and Urban Planning. |
700 | 1 |
_aSrinivas, V.V. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781402068515 |
830 | 0 |
_aWater Science and Technology Library, _x0921-092X ; _v58 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4020-6852-2 |
912 | _aZDB-2-EES | ||
950 | _aEarth and Environmental Science (Springer-11646) | ||
999 |
_c505689 _d505689 |