%0 Journal Article
%T Automatic Calibration of Lumped Conceptual Rainfall-Runoff Model Using Particle Swarm Optimization
%A M. Zakermoshfegh
%A S.A.A.S. Neyshabouri
%A C. Lucas
%J Journal of Applied Sciences
%D 2008
%I Asian Network for Scientific Information
%X The main objective in Conceptual Rainfall-Runoff (CRR) model calibration is to find a set of optimal model parameter values that provides a best fit between observed and estimated flow hydrographs, where the traditional trial and error manual calibration is very tedious and time consuming. Recently in multi dimensional combinatorial optimization problems, meta-heuristic algorithms have shown an encouraging performance with a low computational cost. In this study as a new application of Particle Swarm Optimization (PSO) algorithm, it is applied to automatic calibration of HEC-1 lumped CRR model and the methodology is tested in two example applications: a synthetic hypothetical example and a real case study for the Gorganrood river basin in the north of Iran. The results show encouraging performance of the proposed automated methodology.
%K Lumped conceptual rainfall-runoff model
%K auto-calibration
%K particle swarm optimization
%K Gorganrood river
%U http://docsdrive.com/pdfs/ansinet/jas/2008/3703-3708.pdf