SW—Soil and Water: Application of the Simulated Annealing Method to Agricultural Water Resource Management

✍ Scribed by Sheng-Feng Kuo; Chen-Wuing Liu; Gary P. Merkley

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 401 KB
• Volume: 80
• Category: Article
• ISSN: 0021-8634
• DOI: 10.1006/jaer.2001.0723

✦ Synopsis

This work presents a model based on the on-farm irrigation scheduling and the simulated annealing (SA) optimization method for agricultural water resource management. The proposed model is applied to an irrigation project located in Delta, Utah of 394)6 ha area for optimizing economic pro"ts, simulating the water demand and crop yields and estimating the related crop area percentages with speci"ed water supply and planted area constraints.

The application of SA to irrigated project planning in this study can be divided into nine steps: (1) to receive the output from the on-farm irrigation scheduling module; (2) to enter three simulated annealing parameters; (3) to de"ne the design &chromosome' representing the problem; (4) to generate the random initial design &chromosome'; (5) to decode the design &chromosome' into a real number; (6) to apply constraints; (7) to apply an objective function and a "tness value; (8) to implement the annealing schedule by the Boltzmann probability; and (9) to set the &cooling rate' and criterion for termination.

The irrigation water requirements from the on-farm irrigation scheduling module are: (1) 1067)9, 441)7, and 471)8 mm for alfalfa, barley and maize, respectively, in one unit command area; and (2) 1039)5, 531)4, 490)9, and 539)4 mm for alfalfa, barley, maize and wheat, respectively, in the other unit command area. The simulation results demonstrate that the most appropriate parameters of SA for this study are as follows: (1) initial simulation &temperature' of 1000; (2) number of moves equal to 90; and (3) &cooling rate' of 0)95.