A linear programming approach to water-resources optimization

Abstract

A linear-programming model for use in analysis and planning of multiobjective water resources systems is described in this paper. A typical system consists of reservoirs, hydropower stations, irrigated land, artificial and navigation channels, etc., over a reach of a river or a river basin.The linear programming approach is studied and compared with other approaches: mixed integer-linear dynamic and nonlinear. The advantages and drawbacks of its use in a real case-study are also described.

Multistage scenario-based interval-stochastic programming for planning water resources allocation

“…Previously, a large number of optimization methods were undertaken for allocating and managing water resources in efficient and environmentally benign ways (Bazaare and Bouzaher 1981;Jacovkis et al 1989;Paudyal and Manguerra 1990;Basagaoglu et al 1999;Srinivasan et al 1999;Sethi et al 2002;Gang et al 2003). In detail, Jacovkis et al (1989) proposed a multi-objective linear programming model for planning water resources systems; the system consisted of reservoirs, hydropower stations, irrigated lands, and navigation channels over a river basin.…”

“…In detail, Jacovkis et al (1989) proposed a multi-objective linear programming model for planning water resources systems; the system consisted of reservoirs, hydropower stations, irrigated lands, and navigation channels over a river basin. Sylla (1995) proposed a large-scale nonlinear programming model for planning the operations of interconnected facilities equipped at hydroelectric power stations; the decision variables involved the monthly reservoir releases as well as the canal and pipeline flows through turbines, and the reduced gradient techniques were used to solve the problem.…”

Planning Agricultural Water Resources System Associated With Fuzzy and Random Features1

“…Systems analysis techniques were extensively employed to assist in developing water resources management plans that could allocate and manage water in more efficient and environmentally benign ways (Paudyal and Manguerra, 1990; Watkins and McKinney, 1998; Abbaspour and Nobakhti, 2009; Billionnet, 2009). For example, Jacovkis et al. (1989) proposed a multiobjective linear programming model for planning a water resources system; the study system consisted of reservoirs, hydropower stations, irrigated lands, and navigation channels over a river basin.…”

“…Systems analysis techniques were extensively employed to assist in developing water resources management plans that could allocate and manage water in more efficient and environmentally benign ways (Paudyal and Manguerra, 1990;Watkins and McKinney, 1998;Abbaspour and Nobakhti, 2009;Billionnet, 2009). For example, Jacovkis et al (1989) proposed a multiobjective linear programming model for planning a water resources system; the study system consisted of reservoirs, hydropower stations, irrigated lands, and navigation channels over a river basin. Vedula and Kumar (1996) developed a mathematical programming model to determine an optimal steady-state operating policy and water allocation patterns for 1 multiple crops at a single-purpose irrigation reservoir via a hybrid of linear programming for the intraseasonal period and dynamic programming for the interseasonal period.…”

الگوریتم جست و جوی گرانشی در حل مسئله ی بهره‌برداری بهینه از سیستم تک مخزن: (مطالعه موردی: سد دز)

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