APPLICATION OF ACO ALGORITHM IN SCS-CN METHOD

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XVI International Conference on Computational Methods in Water Resources (CMWR-XVI) Ingeniørhuset

APPLICATION OF ACO ALGORITHM IN SCS-CN METHOD
Author:Mortazavi Naeini Seyed mohammad <smohammad.mortazavi@gmail.com> (Graduated Student)
P. Suresh Babu <suba_babu@yahoo.com> (PhD Candidate)
Presenter:Mortazavi Naeini Seyed mohammad <smohammad.mortazavi@gmail.com> (Graduated Student)
Date: 2006-06-18     Track: Special Sessions     Session: Data assimilation in water resources modelling
DOI:10.4122/1.1000000680

Calibrating the most appropriate parameter is one of the crucial stages in dependable rainfall-runoff modeling. This paper evaluates the computational performance of Ant Colony Optimization (ACO) and Marquardt Algorithms (MA) used for calibration of CN and λ parameters of the Soil Conservation Service Curve Number (SCS-CN) model in optimization. Employing standard error of estimate (Se) and standard error ratio (SER), the performance of both the algorithms was tested on a large set of US data.