0000000001109858

AUTHOR

Cintia Brum Siqueira Dotto

showing 2 related works from this author

Assessing uncertainties in urban drainage models

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…

HydrologyInternational working groupField (geography)Terminologylaw.inventionWater resourcesGeophysicsConceptual frameworkGeochemistry and PetrologyMultidisciplinary approachlawCLARITYDrainageEnvironmental planningPhysics and Chemistry of the Earth, Parts A/B/C
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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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