A hybrid analytic/rule-based approach to reservoir system management during flood

A multipurpose reservoir real-time operation model for flood control during typhoon invasion

“…The objective was to minimize the overflow for each section of the downstream river. Karbowski et al (2005) presented a hybrid analytic/rule-based approach for real-time hourly operation of a single reservoir during flood. The objective of the Roznow reservoir management was minimization of damage evoked by high levels downstream in the Dunajec River in Poland.…”

Guiding rational reservoir flood operation using penalty-type genetic algorithm

“…Westphal et al (2003) demonstrated that decision support systems (DSS) can produce reasonable flood control operating schedules. Karbowski et al (2005) calculated water releases based on two-variant inflow forecasts and some expert knowledge and applied this to real-time operation of a water retention reservoir during flooding. Genetic algorithms are well known global search techniques for solving nonlinear reservoir optimization problems such as reservoir management (Chang and Chen, 1998;Cai et al, 2001;Chang et al, 2005b), reservoir operating rules (Oliveira and Loucks, 1997;Chang et al, 2005a), real-time reservoir operation (Chang and Chang, 2001;Akter and Simonovic, 2004), Multireservoir systems optimization (Wardlaw and Sharif, 1999;Sharif and Wardlaw, 2000;Reis et al, 2005), etc.…”

Intelligent reservoir operation system based on evolving artificial neural networks

“…Chang et al [6] used a GA-based model to search for the optimal sequence of reservoir water releases, and then used these results as the training pattern of an ANFIS model. The AI techniques are also the main methods that have been used for the development of intelligent systems (IS) and decision support systems (DSS) in water resources management [16,27].…”