The Effectiveness of Genetic Planning Model in rainfall-runoff Simulation process
(ندگان)پدیدآور
Babaali, Hamid RezaRamak, ZohrehSepahvand, Rezaنوع مدرک
TextOriginal Article
زبان مدرک
Englishچکیده
The prediction of river, s discharge rate is one of the important issues in water resources engineering. This issue is very important for the planning, management, and policy making in water resources management, especially in the country like Iran, with limited water resources in line the economic and environmental development. Awareness of how the relationship between rainfall and runoff in catchments is an inseparable part of water studies. Absence of sufficient rainfall - runoff data due to the lack of appropriate hydrometric stations, reveals the importance of using indirect methods and evolutionary algorithms to predict the discharge of catchment areas more than before. In this research, a genetic programming model has been used to simulate rainfall-runoff process in the Khorramabad river basin. The result of this study suggests a genetic programming model in an explicit and accurate way to predict the flow of rivers.
کلید واژگان
Simulationrainfall- runoff
evolutionary algorithms
Genetic Programming
شماره نشریه
18تاریخ نشر
2017-12-011396-09-10
ناشر
Islamic Azad University, Ahvaz Branchدانشگاه آزاد اسلامی واحد اهواز
سازمان پدید آورنده
1) Phd in Aquatic Structures field-Islamic Azad University branch of Khorramabad- Khorramabad-IranResponsible Author- Phd in water resource engineering- Islamic Azad University -science and research branch of Tehran- Tehran- Iran
3) MS in Engineering and Water Resources Management- Graduated from Isfahan University of Technology-Isfahan- Iran




