Document Type : Research Paper
Authors
1 Department of Civil Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran.
2 Department of Civil Engineering, Science and Research of Branch, Islamic Azad University, Tehran, Iran.
3 Faculty of Civil Engineering, Isfahan University of Technology, Isfahan, Iran.
Abstract
Predicting the river discharge is one of the important subjects in water resources
engineering. This subject is of utmost importance in terms of planning,
management, and policy of water resources with the aim of economic and
environmental development, especially in a country like Iran with limited water
resources. Awareness of the relation between rainfall and runoff of basins is an
inseparable past of water design studies. Lack of sufficient data on rainfall-runoff
due to the absence of appropriate hydrometric stations reveals the importance
of using indirect methods and heuristic algorithms for estimating the basins'
runoff more than before. In the present research, the genetic programming
model has been employed to simulate the rainfall-runoff process of
Khorramabad River basin, and in order to introduce the patterns and identify the
best pattern dominating the nature of flow, all statistical data were divided into
two groups of training and experiment (52 percent training and 48 percent
experiment) and the program was implemented for 1000 replications using fitting
functions and going through replication and developmental processes so as to
find the optimal replication. Moreover, in order to evaluate the relations obtained
from the simulator model, Root Mean Square Error (RMSE) and Mean Squared
Error (MSE) indexes and Coefficient of Determination (R2) have been used. The
investigations demonstrate that the employed equation 3 has the greatest
relevance with the observational data. Therefore, it is recommended that the said
equation be used for the rainfall-runoff studies of the abovementioned basin.
Based on the results, the genetic programming model is an accurate direct
method for predicting the discharge of Khorramabad River basin.
Keywords
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