LEADER 01116nam 2200361 450 001 9910794344703321 005 20230809233024.0 010 $a1-948258-13-7 035 $a(CKB)4100000011394144 035 $a(MiAaPQ)EBC6313634 035 $a(EXLCZ)994100000011394144 100 $a20201208d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPROLOG$iCritique book $epatient management in the office /$fthe American College of Obstetricians and Gynecologists, Women's Health Care Physicians 205 $aSeventh edition. 210 1$aWashington, District of Columbia :$cThe American College of Obstetricians and Gynecologists,$d[2017] 210 4$dİ2017 215 $a1 online resource (363 pages) 311 $a1-934984-61-2 606 $aGynecology$xDiagnosis 615 0$aGynecology$xDiagnosis. 676 $a618.047543 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910794344703321 996 $aPROLOG$9119011 997 $aUNINA LEADER 02362nam 2200409za 450 001 9910220021003321 005 20230809225552.0 010 $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 035 $a(EXLCZ)993800000000216507 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