作者: Stefan Ahlman
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摘要: Stormwater is recognised as a large contributor of toxic substances to receiving waters. Different measures manage stormwater quality have been proposed, including structural and non-structural best management practices (BMPs). Computer models become useful tools for the analysis, evaluation design these BMPs. The main objective this study was develop modelling framework that enables an analysis pollutant sources in urban drainage systems. In pollutants from different activities area were separated according their origin, e.g. material corrosion, brake wear tyre wear. The model named SEWSYS® developed MATLAB/Simulink. SEWSYS simulates substance flows At present contains 20 substances, nutrients, heavy metals organic pollutants. can simulate both domestic wastewater flows, either combined or separate sewer module, such atmospheric deposition, traffic construction materials are generated accumulated on impervious surfaces during dry weather until they washed away rainfall. Validation studies carried out using measurements flow quality. Calibration validation performed split-sample technique, i.e. with independent data sets calibration validation. hydrological part well but produced less reliable results. Uncertainty module outputs runoff volume, concentrations (EMCs SMC), load uncalibrated calibrated model. Uncertainty assessment methods included Monte Carlo simulations, multi-linear regression Markov-Chain method parameter calibration. results uncertainty showed predictions made associated considerable amount uncertainty. It also shown by means could be reduced acceptable level. The application types scenario has important development. demonstrate tool simulating evaluating source control measures.