Search results for "Urban drainage model"

showing 10 items of 23 documents

The influence of the prior distribution on the uncertainty analysis assessment of an urban drainage stormwater quality model

2009

Bayesian methods uncertainty analysis urban drainage modelling
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Uncertainty in environmental and hydrological mathematical modelling

2012

The current state of knowledge regarding uncertainties in urban drainage models is poor. This is in part due to the lack of clarity in the way model uncertainty analyses are conducted and how the results are presented and used. There is a need for a common terminology and a conceptual framework for describing and estimating uncertainties in urban drainage models. Practical tools for the assessment of model uncertainties for a range of urban drainage models are also required to be developed. This paper, produced by the International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, is a contribution to the development of a harmonised framewor…

Calibration dataSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintieUrban drainage models; Uncertainties; Input data; Calibration data; Sensitivity analysisInput dataSensitivity analysisUrban drainage model
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Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling

2011

Abstract Urban drainage models are important tools used by both practitioners and scientists in the field of stormwater management. These models are often conceptual and usually require calibration using local datasets. The quantification of the uncertainty associated with the models is a must, although it is rarely practiced. The International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, has been working on the development of a framework for defining and assessing uncertainties in the field of urban drainage modelling. A part of that work is the assessment and comparison of different techniques generally used in the uncertainty assessm…

EngineeringEnvironmental Engineering* MCMCRainmedia_common.quotation_subjectBayesian probability* Parameter probability distributionBayesian inferencecomputer.software_genre* MICAsymbols.namesake* GLUEWater QualityStatistics* Bayesian inferenceComputer SimulationQuality (business)CitiesGLUEWaste Management and Disposal* Urban drainage modelWater Science and TechnologyCivil and Structural Engineeringmedia_common* SCEM-UALikelihood Functions* Multi-objective auto-calibrationSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryEcological ModelingUncertaintyMarkov chain Monte CarloModels TheoreticalPollutionMarkov ChainsRunoff model* UncertaintieMetropolis–Hastings algorithmsymbolsProbability distribution* AMALGAMData miningbusinessMonte Carlo MethodcomputerAlgorithmsSoftware
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Integrated urban water modelling with uncertainty analysis

2006

In the last twenty years, the scientific world has paid particular care towards the problems that involve the environment. Accordingly, several researches were developed to describe phenomena that take place during both wet and dry periods and to increase the knowledge in this field. In particular, attention was addressed towards the problems linked with receiving water body pollution because of the impact of rain water in the urban environment. In order to obtain a good description of the problem, it is important to analyse both quantity and quality aspects connected with all the transformation phases that characterise the urban water cycle. Today, according to this point, integrated model…

Environmental EngineeringComputer scienceCalibration (statistics)media_common.quotation_subjectIntegrated urban drainage modelling modelling uncertainty analysis receiving water impact urban water qualityOrder (exchange)Water MovementsQuality (business)CitiesQuality characteristicsUncertainty analysisReliability (statistics)Water Science and Technologymedia_commonSewageSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryDrainage SanitaryWater PollutionEnvironmental resource managementUncertaintyEnvironmental engineeringModels TheoreticalField (geography)ItalyUrban waterbusinessWater Science and Technology
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Modelling of E. colidistribution in coastal areas subjected to combined sewer overflows

2013

Rivers, lakes and the sea were the natural receivers of raw urban waste and storm waters for a long time but the low sustainability of such practice, the increase of population and a renewed environmental sensibility increased researcher interest in the analysis and mitigation of the impact of urban waters on receiving water bodies (RWB). In Europe, the integrated modelling of drainage systems and RWB has been promoted as a promising approach for implementing the Water Framework Directive. A particular interest is given to the fate of pathogens and especially of Escherichia coli, in all the cases in which an interaction between population and the RWB is foreseen. The present paper aims to p…

Environmental Engineeringcoastal water quality Escherichia coli propagation integrated urban drainage modelling receiving water bodiesPopulationSewageSettore ICAR/01 - IdraulicaRiversDrainage system (geomorphology)Numerical modelingEnvironmental monitoringEscherichia coliDrainageeducationWater Science and Technologyeducation.field_of_studySewagebusiness.industryEnvironmental engineeringHydrodynamicModels TheoreticalWater Framework DirectiveEnvironmental scienceCoastal areaCombined sewerWater qualitybusinessEnvironmental Monitoring
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An urban drainage stormwater quality model: model development and uncertainty quantification

2010

Summary The evaluation of urban stormwater quality is of relevant importance for urban drainage, and mathematical models may be of great interest in this respect. To date, several detailed mathematical models are available to predict stormwater quantity–quality characteristics in urban drainage systems. However, only a few models take sewer sediments into account, considering their cohesive-like properties that influence the build-up process of the pollutant load. Furthermore, the model data requirements, especially for the quality aspects, are extensive, which limit their applicability and affect model results with large uncertainty. Uncertainty analysis provides a measure or index regardi…

HydrologyMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-Ambientalemedia_common.quotation_subjectStormwaterSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaContext (language use)Civil engineeringWater qualitySewer sedimentConceptual modelEnvironmental scienceUncertainty analysisSanitary sewerUrban drainage modellingUncertainty quantificationDrainageUncertainty analysisWater Science and Technologymedia_common
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Uncertainty assessment of an integrated urban drainage model

2009

Over the last few years, the use of mathematical models has gained importance in urban drainage system management; indeed, such models enable the combined analysis of different components that constitute a drainage system; the sewer system, wastewater treatment plant and the receiving water body. The effectiveness of an integrated approach has been widely demonstrated in the past and is presented in the EU Water Framework Directive, which also introduces a new point of view regarding the water quality management of the whole system, requiring a global analysis at the river basin scale for pollutant sources. However, integrated urban drainage models introduce several uncertain factors that a…

Hydrologygeographygeography.geographical_feature_categorySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDrainage basinCivil engineeringIntegrated urban drainage modelling Environmental water quality management Pollution evaluation Uncertainty analysisHydrology (agriculture)Water Framework DirectiveUrban planningDrainage system (geomorphology)Environmental scienceSanitary sewerDrainageUncertainty analysisWater Science and TechnologyJournal of Hydrology
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Assessment of the integrated urban water quality model complexity through identifiability analysis

2010

Urban sources of water pollution have often been cited as the primary cause of poor water quality in receiving water bodies (RWB), and recently many studies have been conducted to investigate both continuous sources, such as wastewater-treatment plant (WWTP) effluents, and intermittent sources, such as combined sewer overflows (CSOs). An urban drainage system must be considered jointly, i.e., by means of an integrated approach. However, although the benefits of an integrated approach have been widely demonstrated, several aspects have prevented its wide application, such as the scarcity of field data for not only the input and output variables but also parameters that govern intermediate st…

Identifiability analysiEnvironmental EngineeringOperations researchProcess (engineering)Computer scienceWater supplyWater SupplyRiver water-quality modellingDrainage system (geomorphology)Environmental monitoringIntegrated urban drainage modellingUncertainty assessmentSensitivity (control systems)Waste Management and DisposalReliability (statistics)Water Science and TechnologyCivil and Structural EngineeringSewageSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryEcological ModelingWater PollutionSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaUncertaintyEnvironmental engineeringModels TheoreticalPollutionIdentifiabilityCombined sewerbusinessEnvironmental MonitoringWater Research
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Global sensitivity analysis for urban water quality modelling: comparison of different methods

2012

Sensitivity analysis represents an important step in improving the understanding and use of environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may identify both important (factor prioritization) and non-influential (factor fixing) model input factors. However, despite the potentialities of GSA methods, only few applications have been published in the field of urban drainage modelling. In order to fill this gap this paper presents a comparison among three GSA methods (SRC, Extended-FAST and Morris screening) on an urban drainage storm-water model. In particular, an exhaustive discussion on their peculiarities, applicability, and reliability is presented. S…

Influence of model input factorSettore ICAR/03 - Ingegneria Sanitaria-Ambientaleurban drainage modellinguncertaintysewer sediment
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Uncertainty Assessment of a Water-Quality Model for Ephemeral Rivers Using GLUE Analysis

2011

Every model is, by definition, a simplification of the system under investigation. Although it would be desirable to reduce the gap between the simulated and the observed behaviors of the system to zero, this reduction is generally impossible owing to the unavoidable uncertainties inherent in any modeling procedure. Uncertainty analyses can provide useful insights into the best model approach to be used for obtaining results with a high level of significance and reliability. The evaluation of parameter uncertainties is necessary for calibration and for estimating the impact of these uncertainties on model performance. In this context, the uncertainty of a river water-quality model developed…

Integrated urban drainage modeling Uncertainty assessment Model approaches Water-quality managementEnvironmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleOperations researchCalibration (statistics)Context (language use)Data qualityEnvironmental ChemistryEnvironmental scienceSensitivity analysisBiochemical engineeringWater qualityGLUEUncertainty analysisReliability (statistics)General Environmental ScienceCivil and Structural EngineeringJournal of Environmental Engineering
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