Investigation of model complexity and structure on the calibration process

Inference models for estimation of the parameters necessary to implement the Stormwater Management Model (SWMM) were developed and implemented using the Centennial Park Catchment in Sydney, Australia as a test catchment. A number of alternative inference models were developed to assess the influence of inference model complexity and structure on the calibration of the catchment modelling system. These inference models varied from the assumption of a spatially invariant value (catchment average) to spatially variable with each subcatchment having its own unique values. Furthermore, the influence of different measures of deviation between the recorded information and simulation predictions were considered. Presented herein is the results of these investigations into the complexity and structure of models used in the calibration process.