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010   $a9783038423270 (ebook)
010   $a9783038423263 (pbk.)
024 8 $a10.3390/books978-3-03842-327-0
035   $a(CKB)3800000000216507
035   $a(ScCtBLL)577388c0-ca0e-4eb7-b505-42a0eea37a19
035   $a(OCoLC)1162799915
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100   $a20191103d2017      uy         0
101 0 $aeng
135   $auru||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aUse of meta-heuristic techniques in rainfall-runoff modelling /$fspecial issue editor Kwok-wing Chau
210   $aBasel $cMDPI AG$d2017
215   $a1 online resource (vii, 246 p.) $cill
300   $aSpecial issue published in Water.
330   $aEach year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runoff modeling is a growing field of endeavor in water resources management. These techniques can be used to calibrate data-driven rainfall-runoff models to improve forecasting accuracies. This book, being also a Special Issue of the journal Water, is designed to fill the analytical void by including fourteen articles concerning advances in the contemporary use of meta-heuristic techniques in rainfall-runoff modeling. The information and analyses are intended to contribute to the development and implementation of effective hydrological predictions, and thus, of appropriate precautionary measures.
606   $aRain and rainfall$xMathematical models
606   $aRunoff$xMathematical models
615  0$aRain and rainfall$xMathematical models.
615  0$aRunoff$xMathematical models.
676   $a551.488
701   $aChau$b Kwok Wing$0874291
712 02$aMultidisciplinary Digital Publishing Institute.
801  0$bScCtBLL
801  1$bScCtBLL
912   $a9910220021003321
996   $aUse of meta-heuristic techniques in rainfall-runoff modelling$91952092
997   $aUNINA