全部 标题 作者
关键词 摘要


Automatic Calibration of Lumped Conceptual Rainfall-Runoff Model Using Particle Swarm Optimization

Keywords: Lumped conceptual rainfall-runoff model , auto-calibration , particle swarm optimization , Gorganrood river

Full-Text   Cite this paper   Add to My Lib

Abstract:

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.

Full-Text

comments powered by Disqus