Search results for "certainty"

showing 10 items of 1057 documents

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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Uncertainty in sewer sediment deposit modelling: detailed vs simplified modelling approaches.

2012

Abstract The paper presents the results of a study in which the uncertainty levels associated with a detailed and a simplified/parsimonious sewer sediment modelling approach have been compared. The detailed approach used an Infoworks CS sewer network model combined with a user developed sediment transport code and the simplified approach used a conceptual sewer flow and quality model. The two approaches have been applied to a single case study sewer network and the simulation results compared. The case study was selected as moderate storm events had occurred during a 2 year rainfall and sewer flow monitoring period. Flooding had been observed and this was thought to be caused by significant…

HydrologyUncertainty Monte carlo SensitivityEngineeringMathematical modelsScale (ratio)Mathematical modelSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryMonte Carlo methodFlow (psychology)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSedimentCivil engineeringGeophysicsWater qualityGeochemistry and PetrologySewer sedimentSensitivity analysibusinessSediment transportUncertainty analysisNetwork model
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Role of Modeling Uncertainty in the Estimation of Climate and Socioeconomic Impact on River Water Quality

2012

AbstractClimate is one of the most important factors leading to changes in the hydrologic and environmental characteristics of river basins. When considering water quality, the natural factors should be weighed against anthropogenic factors (such as urbanization, increased population, and higher water demand) that may increase or decrease the effect of climatic modifications. Any prediction of future climatic and anthropogenic scenarios is affected by uncertainty and the modelling tools that are used for evaluating their impact on receiving water bodies. The present paper is aimed at investigating the complexity of such analyses and the uncertainty related to future impact predictions based…

Hydrologyeducation.field_of_studygeographygeography.geographical_feature_categoryHydrological modellingGeography Planning and DevelopmentPopulationDrainage basinClimate changeManagement Monitoring Policy and LawUrbanizationEnvironmental scienceWater qualityWater resource managementWater pollutioneducationUncertainty analysisWater Science and TechnologyCivil and Structural EngineeringJournal of Water Resources Planning and Management
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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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Uncertainty analysis of the influence of rainfall time resolution in the modelling of urban drainage systems

2005

In urban drainage modelling, rainfall temporal variability can be considered as one of the most critical knowledge elements when dealing with rainfall–runoff models input data. The rainfall data temporal resolution usually available for practical applications is often lower than that requested for the rainfall–runoff simulation in urban areas, greatly compromising model accuracy. The present paper evaluates the influence of rainfall temporal resolution on the uncertainty of the response of rainfall–runoff modelling in urban environments. Analyses have been carried out using historical rainfall–discharge data collected for about 10 years in Parco d'Orleans experimental catchment (Palermo, It…

Hydrologygeographygeography.geographical_feature_categoryMeteorologyMonte Carlo methodDrainage basinVariable (computer science)Temporal resolutionEnvironmental scienceDrainageSurface runoffGLUEUncertainty analysisWater Science and TechnologyHydrological Processes
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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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A new index for measuring seasonality: A transportation cost approach

2017

Abstract Seasonal fluctuations characterize many natural and social phenomena. Although the causes and impacts of seasonality are generally well documented in different study contexts, and many methods for isolating the seasonal component have been developed, considerably less attention has been paid to the measurement of the degree of seasonality. After reviewing the main indices used for measuring seasonality in different study contexts, we will propose a new approach in which seasonality is evaluated on the basis of the solution of a transportation problem. By considering the interdisciplinary nature of seasonal phenomena, the topic of measuring seasonality merits attention from a wide v…

Index (economics)Transportation costSociology and Political Science05 social sciencesGeneral Social SciencesSeasonal indexTransportation theorySeasonalitymedicine.diseaseVariety (cybernetics)Seasonal measurementGeography0502 economics and businessEconometricsmedicine050211 marketingTransportation problemSettore SECS-S/05 - Statistica SocialeStatistics Probability and Uncertainty050212 sport leisure & tourismGeneral PsychologyMathematical Social Sciences
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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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Risky choices in strategic environments: An experimental investigation of a real options game

2019

Managers frequently make decisions under conditions of fundamental uncertainty due the stochastic nature of the outcomes and competitive rivalry. In this study, we experimentally test a theoretical model under fundamental uncertainty and competitive rivalry by designing a sequential interaction game between two players. The first mover can decide either to choose a sure outcome that assigns a risky outcome to the second mover or to pass the decision to the second mover. If the second player gets the chance to decide, she can choose between a sure outcome, conditioned by the assignment of a risky payoff to the first mover, or the sharing of the risky outcome with the first mover. We then int…

Information Systems and ManagementGeneral Computer ScienceComputer sciencemedia_common.quotation_subjectReal options game0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchOutcome (game theory)Industrial and Manufacturing EngineeringMicroeconomics0502 economics and businessBehavioural ORFunction (engineering)Continuous distributionRivalrymedia_commonStandard model (cryptography)050210 logistics & transportation021103 operations research05 social sciencesStochastic gameUncertaintySettore ING-IND/35 - Ingegneria Economico-GestionaleLaboratory experimentTest (assessment)Modeling and SimulationFirst-mover advantage
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