Estimation of Daily Water Income for 16 TISHREEN Dam Using Genetic Programming

Authors

  • Ghaftan Ammar Tishreen University
  • Ali Saleem Tishreen University

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.

Author Biographies

Ghaftan Ammar, Tishreen University

Professor- Department of Water Engineering and Irrigation- Faculty of Civil Engineering-

Ali Saleem, Tishreen University

Postgraduate Student- Department of Water Engineering and Irrigation- Faculty of Civil Engineering

Published

2021-09-14

How to Cite

1.
عمار غ, سليم ع. Estimation of Daily Water Income for 16 TISHREEN Dam Using Genetic Programming. Tuj-eng [Internet]. 2021Sep.14 [cited 2024Feb.21];43(4). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/10821

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