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The lengthy computation time and very high computing capacity required to simulate high resolution catchment-wide stormwater models are significant challenges in developing overland flow path maps. Current practise tends to sub-divide a catchment into many sub-catchments, each with own stormwater pipe network in order to reduce the computing capacity, however this method tends to promote further complications due to cross-flows and backwater effects, particularly in flat catchments. An alternative approach is to remove the stormwater network and to estimate its impact through loss parameters. The first approach resolves the computing capacity limitations; however, the required modelling time remains an issue. In addition, full implementation of this approach requires an estimation of sheet flows and tailwater conditions at the boundary of each sub-catchment which can be very difficult to implement in relatively flat catchments. The second approach resolves both boundary condition and run time issues. This investigation involved a case study to examine the feasibility as well as the pros and cons of both approaches. Currumbin Creek, located in the southern part of the Gold Coast, was selected as a case study. First a coupled 1D-2D model of the catchment was developed to establish the most accurate overland flow path. Then two sets of overland flow paths were developed using the two abovementioned approximate approaches. Their results were compared with the results of the whole of catchment model to establish the better approach. The study shows that the second approach provides better results. It is important to note that the accuracy of the second approach depends on assigning an appropriate loss parameter to account for drainage capacity of the stormwater networks. In this study, various conceptual hydrological models were proposed to assess loss parameter estimation by finding a relationship between the volume of water conveyed by the stormwater pipe network and the input rainfall hyetograph. The study contributes to the body of knowledge by providing further insight into overland flow path modelling and mapping.

An investigation into the modelling challenges for overland flow path mapping and the analysis of practical solutions