02362nam 2200409za 450 991022002100332120230809225552.09783038423270 (ebook)9783038423263 (pbk.)10.3390/books978-3-03842-327-0(CKB)3800000000216507(ScCtBLL)577388c0-ca0e-4eb7-b505-42a0eea37a19(OCoLC)1162799915(EXLCZ)99380000000021650720191103d2017 uy 0enguru||||||||||txtrdacontentcrdamediacrrdacarrierUse of meta-heuristic techniques in rainfall-runoff modelling /special issue editor Kwok-wing ChauBasel MDPI AG20171 online resource (vii, 246 p.) illSpecial issue published in Water.Each 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.Rain and rainfallMathematical modelsRunoffMathematical modelsRain and rainfallMathematical models.RunoffMathematical models.551.488Chau Kwok Wing874291Multidisciplinary Digital Publishing Institute.ScCtBLLScCtBLL9910220021003321Use of meta-heuristic techniques in rainfall-runoff modelling1952092UNINA