Investigation of parameter interactions in a physically distributed catchment modelling system

Australia Engineers Association
Publication Type:
Conference Proceeding
Proceedings of Water Down Under 2008, 2008, pp. 2212 - 2221
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A physically distributed Stormwater Management Model (SWMM) is associated with a large number of spatially variable control parameters for the description of subcatchment characteristics, It is difficult to investigate the complex relationships among these control parameters using traditional approaches, A real-value coding genetic algorithm was used as a tool to investigate interactions among spatially variable control parameters of SWMM in this study, To ascertain if the individual parameters were correlated, the Pearson Correlation method was used to evaluate the linear correlation between two control parameters, The results based on the Pearson Correlation method indicate no ciear relationship between any two control parameters, However, a distinct relationship among a group of parameters was detected, suggesting that the simulation performance of the complex system SWMM was affected by the combination of a parameter set rather than individual parameters,
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