. . . . . "67"^^ . "3"^^ . "1"^^ . "\u0158\u00EDzen\u00ED vodohospod\u00E1\u0159sk\u00FDch soustav se v sou\u010Dasnosti \u0159ad\u00ED mezi nejaktu\u00E1ln\u011Bj\u0161\u00ED probl\u00E9my vodn\u00EDho hospod\u00E1\u0159stv\u00ED. Tato skute\u010Dnost je umocn\u011Bna zv\u00FD\u0161enou \u010Detnost\u00ED extr\u00E9mn\u00EDch hydrologick\u00FDch jev\u016F v posledn\u00EDm desetilet\u00ED. Motivace p\u0159edlo\u017Een\u00E9ho grantov\u00E9ho projektu vych\u00E1z\u00ED ze skute\u010Dnosti, \u017Ee pro \u0159\u00EDzen\u00ED vodn\u00EDch zdroj\u016F nejsou v sou\u010Dasnosti vyu\u017Eity v\u0161echny metodick\u00E9 prost\u0159edky. Vodn\u00ED zdroje jsou u n\u00E1s v\u011Bt\u0161inou dosud navrhov\u00E1ny a \u0159\u00EDzeny deterministicky pomoc\u00ED n\u00E1vrhov\u00E9 ud\u00E1losti. Sou\u010Dasn\u00FD trend se ub\u00EDr\u00E1 cestou simulace sr\u00E1\u017Eko-odtokov\u00E9ho procesu pomoc\u00ED stochastick\u00FDch gener\u00E1tor\u016F po\u010Das\u00ED a hydrologick\u00FDch model\u016F. Odvozen\u00E9 syntetick\u00E9 kontinu\u00E1ln\u00ED simulace sr\u00E1\u017Eek a odtok\u016F n\u00E1sledn\u011B vstupuj\u00ED do simula\u010Dn\u00EDch model\u016F vodohospod\u00E1\u0159sk\u00FDch soustav, kter\u00E9 umo\u017E\u0148uj\u00ED hodnotit jejich spolehlivost a rizika metodou Monte-Carlo. Podobn\u011B deterministick\u00FD charakter hydrologick\u00FDch p\u0159edpov\u011Bd\u00ED je ve sv\u011Bt\u011B nahrazov\u00E1n pravd\u011Bpodobnostn\u00EDm. Pravd\u011Bpodobnostn\u00ED hydrologick\u00E9 p\u0159edpov\u011Bdi poskytuj\u00ED podstatn\u011B v\u00EDce informace, nebo\u0165 zahrnuj\u00ED kvantifikaci" . "67"^^ . . . "Prediction and simulation models in the water resources control"@en . " real time control" . "0"^^ . . "2015-01-22+01:00"^^ . . "Grantov\u00FD projekt byl zam\u011B\u0159en na v\u00FDvoj predik\u010Dn\u00EDch a simula\u010Dn\u00EDch metod pro zdokonalen\u00ED \u0159\u00EDzen\u00ED n\u00E1dr\u017E\u00ED a vodohospod\u00E1\u0159sk\u00FDch soustav. V r\u00E1mci uveden\u00E9ho zam\u011B\u0159en\u00ED byly pr\u00E1ce systematicky rozd\u011Bleny do \u010Dty\u0159ech z\u00E1kladn\u00EDch probl\u00E9mov\u00FDch okruh\u016F (Stochastick\u00E1 simulace"@cs . "2007-01-01+01:00"^^ . "Predik\u010Dn\u00ED a simula\u010Dn\u00ED modely v teorii operativn\u00EDho \u0159\u00EDzen\u00ED vodohospod\u00E1\u0159sk\u00FDch soustav" . "."@en . . "2009-12-31+01:00"^^ . . "http://www.isvav.cz/projectDetail.do?rowId=GA103/07/1620"^^ . . "GA103/07/1620" . . "water resources system" . . . . . . "water resources system; real time control; stochastic weather generator"@en . "2009-04-22+02:00"^^ . . "Water resources control can be considered as one of the most topical problem of the water management. This fact is emphasized by the growing frequency of extreme hydrological events during the last decade. A motivation of the project proposed is evoked by the absence of state-of-the-art methodological approaches in a water resources control practice. Water resources are mostly proposed and controlled by the deterministic concept with the use of the design event approach. Up-to-date trend is based on the stochastic simulation of the rainfall-runoff process by weather generators and hydrological models. Synthetic long-term rainfall-runoff series enters the water resources mathematical models which allow us to assess their reliability and risk by the Monte-Carlo method. Similarly, a deterministic character of the hydrological predictions is replaced by the probabilistic one. Probabilistic hydrological predictions bring much more information as they include uncertainty quantification. The project will"@en . .