Search results for "Water model"

showing 8 items of 18 documents

Simple absorbing layer conditions for shallow wave simulations with Smoothed Particle Hydrodynamics

2013

Abstract We study and implement a simple method, based on the Perfectly Matched Layer approach, to treat non reflecting boundary conditions with the Smoothed Particles Hydrodynamics numerical algorithm. The method is based on the concept of physical damping operating on a fictitious layer added to the computational domain. The method works for both 1D and 2D cases, but here we illustrate it in the case of 1D and 2D time dependent shallow waves propagating in a finite domain.

PhysicsEnvironmental EngineeringOcean EngineeringFluid mechanicsMechanicsFluid mechanics Boundary condition Absorbing layer Lagrangian numerical method SPH Shallow water modelDomain (mathematical analysis)Computational physicsSmoothed-particle hydrodynamicsPerfectly matched layerSimple (abstract algebra)Boundary value problemLayer (object-oriented design)Ocean Engineering
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The GSA-GLUE approach for uncertainty assessment of an integrated MBR model

2012

In the recent literature, the uncertainty of wastewater treatment plant (WWTP) modelling has had relevant interest both for designers and operators. Indeed, the frequent data lacking and the need to improve process knowledge, in case of innovative technologies, make the use of mathematical models more uncertain. Therefore, the need to make model uncertainty more explicit is warmly recommended. However, only few applications of uncertainty analysis in the wastewater field have been carried out. In this work, the combination of the global sensitivity analysis (GSA) and the Generalized Likelihood Uncertainty Estimation (GLUE) is applied for the uncertainty assessment of a WWTP model, in order …

Settore ICAR/03 - Ingegneria Sanitaria-Ambientaleglobal sensitivity analysisUncertainty analysiwastewater modelling
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Uncertainty of a biological nitrogen and phosphorus removal model

2010

In the last few years, the use of mathematical models in wastewater treatment plant (WWTP) processes has become a common way to predict WWTP behaviour. However, mathematical models generally demand advanced input for their implementation that must be evaluated by an extensive data gathering campaign, which cannot always be carried out. This fact, together with the intrinsic complexity of the model structure, leads to model results that may be very uncertain. Quantification of the uncertainty is imperative. However, despite the importance of uncertainty quantification, only a few studies have been carried out in the wastewater treatment field, and those studies only included a few of the sou…

Settore ICAR/03 - Ingegneria Sanitaria-Ambientalenitrogen phosphorus removaluncertainty analysicalibrationwastewater modellingactivated sludge model
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New Trends in Urban Drainage Modelling

2019

This book addresses the latest research advances, innovations, and applications in the field of urban drainage and water management as presented by leading researchers, scientists and practitioners from around the world at the 11th International Conference on Urban Drainage Modelling (UDM), held in Palermo, Italy from 23 to 26 September, 2018. The conference was promoted and organized by the University of Palermo, Italy and the International Working Group on Data and Models, with the support of four of the world’s leading organizations in the water sector: the International Water Association (IWA), International Association for Hydro-Environment Engineering and Research (IAHR), Environmenta…

Urban Stormwater Modelling TransportSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUrban Wastewater Water Quality MonitoringWater Management Urban HydrologyUrban Hydraulic Processes Drainage Engineering
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Urban runoff modelling uncertainty: Comparison among Bayesian and pseudo-Bayesian methods

2009

Urban stormwater quality modelling plays a central role in evaluation of the quality of the receiving water body. However, the complexity of the physical processes that must be simulated and the limited amount of data available for calibration may lead to high uncertainty in the model results. This study was conducted to assess modelling uncertainty associated with catchment surface pollution evaluation. Eight models were compared based on the results of a case study in which there was limited data available for calibration. Uncertainty analysis was then conducted using three different methods: the Bayesian Monte Carlo method, the GLUE pseudo-Bayesian method and the GLUE method revised by m…

Urban stormwater modellingEnvironmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleCalibration (statistics)Computer scienceEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian probabilityMonte Carlo methodBayesian methodGeneralised Likelihood Uncertainty EstimationStatisticsUncertainty assessmentSensitivity analysisSurface runoffGLUESoftwareReliability (statistics)Uncertainty analysisEnvironmental Modelling & Software
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Role of modeling uncertainty in the estimation of climate and socioeconomic impact on river water quality. J. of Water Resources Planning and Managem…

2012

Climate 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 on limi…

Water qualityWastewater modelling.Settore ICAR/03 - Ingegneria Sanitaria-AmbientaleWater pollutionIntegrated systemUrban developmentStormwater managementClimate impact
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Structure and Dynamics of the Quasi-Liquid Layer at the Surface of Ice from Molecular Simulations

2018

We characterized the structural and dynamical properties of the quasi-liquid layer (QLL) at the surface of ice by molecular dynamics simulations with a thermodynamically consistent water model. Our simulations show that for three low-index ice surfaces only the outermost molecular layer presents short-range and mid-range disorder and is diffusive. The onset temperature for normal diffusion is much higher than the glass temperature of supercooled water, although the diffusivity of the QLL is higher than that of bulk water at the corresponding temperature. The underlying subsurface layers impose an ordered template, which produces a regular patterning of the ice/water interface at any tempera…

Work (thermodynamics)TechnologyMaterials sciencephysics.chem-phFOS: Physical sciencesCondensed Matter - Soft Condensed Matter010402 general chemistryThermal diffusivity01 natural sciencesPhysical ChemistryMolecular dynamicsEngineeringPhysics - Chemical Physics0103 physical sciencesWater modelPhysical and Theoretical Chemistry010306 general physicsSupercoolingPhysics::Atmospheric and Oceanic PhysicsChemical Physics (physics.chem-ph)cond-mat.softComputational Physics (physics.comp-ph)0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCharacterization (materials science)General EnergyChemical physicsphysics.comp-phChemical SciencesSoft Condensed Matter (cond-mat.soft)Glass transitionLayer (electronics)Physics - Computational Physics
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Sequential and joint hydrogeophysical inversion using a field-scale groundwater model with ERT and TDEM data

2013

Abstract. Increasingly, ground-based and airborne geophysical datasets are used to inform groundwater models. Recent research focuses on establishing coupling relationships between geophysical and groundwater parameters. To fully exploit such information, this paper presents and compares a joint hydrogeophysical inversion (JHI) approach and sequential hydrogeophysical inversion (SHI) approach to inform a field-scale groundwater model with Time Domain Electromagnetic (TDEM) and Electrical Resistivity Tomography (ERT) data. The implemented SHI coupled inverted geophysical models with groundwater parameters, where the strength of the coupling was based on geophysical parameter resolution. To t…

lcsh:GE1-350Hydrologylcsh:TEstimation theoryPetrophysicslcsh:Geography. Anthropology. RecreationModel parametersSoil scienceInversion (meteorology)Computer simulationlcsh:Technologylcsh:TD1-1066Geophysicslcsh:GParameter estimationElectrical resistivity tomographylcsh:Environmental technology. Sanitary engineeringGroundwater modelGroundwaterlcsh:Environmental sciencesGroundwaterGeologySlightly worse
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