Publikacje

Abstract:

Modeling of sewage volume and sewer system filling-ups is an important element that allows performance assessment of a rainfall drainage system from a basin area. The complex nature of physical processes being simulated and limited amount of observation data available for calibration make the model outcomes highly uncertain. The presented case study demonstrates an application of the GSA-GLUE technique (global sensitivity - generalized uncertainty estimation) to the sensitivity analysis and probabilistic identification of parameters (surface runoff width, water capacity of impervious and pervious surfaces, impervious surface fraction, the Manning roughness coefficient of channels and longitudinal basin slope) for the urban catchment model designed with the SWMM software. Measurement data of rainfall intensity and rain water flow from the period of 2009 to 2011 was used for calibration and validation of the basin model. The numerical experiments revealed that the channel roughness coefficient and water capacity measures of impervious surfaces had the highest impact on shape of the calculated hydrograph for storm water runoff in an urban basin. The simulation results confirmed that the sensitivity analysis and parameter identification methods applied might be useful in calibration of urbanized basin hydrodynamic models.

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Analiza wrażliwości i niepewności w modelach hydrodynamicznych na przykładzie zlewni zurbanizowanej