Estimation of Daily Water Income for 16 TISHREEN Dam Using Genetic Programming
Keywords:
Genetic Programming, Correlation, Mutation, Crossover, Tree Structure, 16Tishreen Dam.Abstract
Artificial intelligence with its multi-parts conterbeut effectively in modelling the studying problems more accuracy to get acceptable results, the researchers depending on genetic programming in their hydrological studies (like flood forecast, design and operation of hydraulic structure, estimation of water income for dams, etc..) that help in planning and management the available water resources, 16 TISHREEN dam basin constitutes an area of agricultural and human activity which motivate us to study the water resources to balance between it and the demands.
In this paper we use genetic programming to estimate daily water income for 16 TISHREEN dam lake from the daily rainfall data which is the main factor of formation of water resources, the best model which use 2500 individuals, 1500 generations and a high ratio of mutation is 30%, the correlation factor reached to 99% and the average relative error in forecasting of the income water is 7.8%. The study indicates the importance of automating water measurements to reduce reading errors.
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