Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Environmental Modelling & Software
Environmental Modelling & Software
Reliable water supply system design under uncertainty
Environmental Modelling & Software
Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
Environmental Modelling & Software
Application of chaos and fractal models to water quality time series prediction
Environmental Modelling & Software
A DSS generator for multiobjective optimisation of spreadsheet-based models
Environmental Modelling & Software
Speedup of water distribution simulation by domain decomposition
Environmental Modelling & Software
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In the field of water distribution system (WDS) analysis, case study research is needed for testing or benchmarking optimisation strategies and newly developed software. However, data availability for the investigation of real cases is limited due to time and cost needed for data collection and model setup. We present a new algorithm that addresses this problem by generating WDSs from GIS using population density, housing density and elevation as input data. We show that the resulting WDSs are comparable to actual systems in terms of network properties and hydraulic performance. For example, comparing the pressure heads for an actual and a generated WDS results in pressure head differences of +/-4 m or less for 75% of the supply area. Although elements like valves and pumps are not included, the new methodology can provide water distribution systems of varying levels of complexity (e.g., network layouts, connectivity, etc.) to allow testing design/optimisation algorithms on a large number of networks. The new approach can be used to estimate the construction costs of planned WDSs aimed at addressing population growth or at comparisons of different expansion strategies in growth corridors.