Reductions of water deficits for users and energy savings are frequently conflicting issues when optimizing largescale multi-reservoir and multi-user water supply systems. Undoubtedly, a high level of uncertainty due to hydrologic input variability and water demand behaviour characterizes these problems. The aim of this paper is to provide a decision support for the water system authority, in o...

Effective management of water resources in arid and semi-arid areas demands studies that cross over the disciplinaries of natural and social sciences. An integrated Hydrological, Ecological and Economical (HEE) modeling system at regional scale has been developed to assess water resources use and ecosystem production in arid and semi-arid areas. As a physically-based distributed modeling system...

dam reservoirs supply potable, agricultural, and industrial water in most cities of iran. due to lack of proper operational rules or unbalanced demand versus water resources volume, (along operating time) correction in operational rules is required to fulfill current situations. hence the goal of this study is to optimize the qeshlaq dam reservoir operation rules to maximize the water release f...

through a collection of cooperative agents called ants, the near optimal solution to the multi-reservoir operation problem may be effectively achieved employing ant colony optimization algorithms (acoas). the problem is approached by considering a finite operating horizon, classifying the possible releases from the reservoir(s) into pre-determined intervals, and projecting the problem on a grap...

The energy demand in our modern society is continuously rising, which clearly shows that fossil fuels will for many decades still play an important role – oil and natural gas are important energy resources in this picture. Nevertheless, oil and natural gas reserves are limited, and it is therefore a prioritized task to produce more oil and gas from existing wells and reservoirs for better explo...

Multi–Objective Markov Decision Processes (MOMDPs) provide an effective modeling framework for multi–objective decision-making problems involving water resources systems. The traditional approach to solve these problems is to consider many single–objective problems (resulting from different combinations of the original problem objectives), each one solved using standard optimization techniques....

Accurate prediction of the water level in a reservoir is crucial to optimizing the management of water resources. A neuro-fuzzy hybrid approach was used to construct a water level forecasting system during flood periods. In particular, we used the adaptive network-based fuzzy inference system (ANFIS) to build a prediction model for reservoir management. To illustrate the applicability and capab...