Search results for " urban stormwater quality modelling"

showing 3 items of 3 documents

The influence of rainfall time resolution for urban water quality modelling

2010

The objective of this paper is the definition of a methodology to evaluate the impact of the temporal resolution of rainfall measurements in urban drainage modelling applications. More specifically the effect of the temporal resolution on urban water quality modelling is detected analysing the uncertainty of the response of rainfall–runoff modelling. Analyses have been carried out using historical rainfall–discharge data collected for the Fossolo catchment (Bologna, Italy). According to the methodology, the historical rainfall data are taken as a reference, and resampled data have been obtained through a rescaling procedure with variable temporal windows. The shape comparison between ‘true’…

Environmental EngineeringData collectionTime FactorsMeteorologySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleCalibration (statistics)RainMonte Carlo methodSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaWaterModels TheoreticalGLUE rainfall temporal resolution uncertainty assessment urban stormwater quality modellingWaste Disposal FluidVariable (computer science)Water SupplyTemporal resolutionEnvironmental scienceWater qualityDrainageCitiesGLUEWater Science and TechnologyEnvironmental Monitoring
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Uncertainty assessment of sewer sediment erosion modelling

2008

Urban stormwater quality modelling has become a fundamental issue in the evaluation of the receiving water bodies' quality state. Laboratory study as well as field campaigns have widely demonstrated that combined sewer sediments present cohesive-like properties which increase their resistance to erosion. However, only few models take sewer sediments into account considering their rheological properties. In the present paper different sewer sediment erosion models have been tested and their uncertainties have been assessed. The main goal was to discriminate the algorithms with respect to their robustness and the reduction of uncertainty. In order to accomplish such objective the GLUE methodo…

Hydrologygeographygeography.geographical_feature_categoryGeography Planning and DevelopmentStormwaterSedimentUrban areaCivil engineeringErosionEnvironmental scienceCombined sewerWater qualityRobustness (economics)GLUEcombined sewer erosion model uncertainty assessment urban stormwater quality modellingWater Science and Technology
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Bayesian approach for uncertainty quantification in water quality modelling: The influence of prior distribution

2010

Summary Mathematical models are of common use in urban drainage, and they are increasingly being applied to support decisions about design and alternative management strategies. In this context, uncertainty analysis is of undoubted necessity in urban drainage modelling. However, despite the crucial role played by uncertainty quantification, several methodological aspects need to be clarified and deserve further investigation, especially in water quality modelling. One of them is related to the “a priori” hypotheses involved in the uncertainty analysis. Such hypotheses are usually condensed in “a priori” distributions assessing the most likely values for model parameters. This paper explores…

HydrologySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleComputer scienceBayesian approachUrban stormwater quality modellingContext (language use)Water quality modellingPrior knowledgeData qualityBayesian approach; Prior knowledge; Uncertainty assessment; Urban stormwater quality modellingPrior probabilityEconometricsSensitivity analysisUncertainty assessmentUncertainty quantificationUncertainty analysisReliability (statistics)Water Science and Technology
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