02137nam 2200361 450 991067404580332120230625063654.0(CKB)5400000000042756(NjHacI)995400000000042756(EXLCZ)99540000000004275620230625d2017 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierUse of meta-heuristic techniques in rainfall-runoff modelling /Kwok Wing ChauBasel, Switzerland :MDPI,2017.1 online resource (vii, 246 pages) illustrations3-03842-326-2 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.551.57810184Chau Kwok Wing874291NjHacINjHaclBOOK9910674045803321Use of meta-heuristic techniques in rainfall-runoff modelling1952092UNINA