Search results for "Monte Carlo method"

showing 10 items of 1234 documents

Derivation of flood frequency curves in poorly gauged Mediterranean catchments using a simple stochastic hydrological rainfall-runoff model

2007

In this paper a Monte Carlo procedure for deriving frequency distributions of peak flows using a semi-distributed stochastic rainfall-runoff model is presented. The rainfall-runoff model here used is very simple one, with a limited number of parameters and practically does not require any calibration, resulting in a robust tool for those catchments which are partially or poorly gauged. The procedure is based on three modules: a stochastic rainfall generator module, a hydrologic loss module and a flood routing module. In the rainfall generator module the rainfall storm, i.e. the maximum rainfall depth for a fixed duration, is assumed to follow the two components extreme value (TCEV) distribu…

HydrologyFlood mythStochastic modellingfllod frequency curves rainfall-runoff modelMonte Carlo methodSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaAntecedent moistureSoil scienceRunoff modelEnvironmental scienceFrequency distributionExtreme value theorySurface runoffWater Science and Technology
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Applying the bootstrap technique for studying soil redistribution by caesium-137 measurements at basin scale

2000

Abstract The use of the bootstrap technique to estimate the reference level of137 Cs in an uneroded site is tested. The analysis is developed using 137Cs measurements made in a small experimental Sicilian basin. In the reference area the 137Cs activity is normally distributed with a known sample mean value, m equal to 94.4 mBq cm−2. The influence of137 Cs reference site sampling was determined generating samples having a fixed size, N and six different values of the sample coefficient of variation, CV, by a Monte Carlo technique. Then, for each size N, the probability distribution of the mean μ of the sequences generated by Monte Carlo technique is defined. The soil redistribution is determ…

HydrologySample size determinationCoefficient of variationMonte Carlo methodSoil waterErosionProbability distributionSampling (statistics)Soil scienceSpatial distributionWater Science and TechnologyMathematics
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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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Length Slope Factors for applying the Revised Universal Soil Loss Equation at Basin Scale in Southern Italy

2000

In this paper, for a basin divided into morphological units, a distributed model based on the Revised Universal Soil Loss Equation (RUSLE), with different expressions for the topographic factors, and on the sediment delivery ratio of each morphological unit is used. At first, the caesium-137 data available from a Sicilian basin are calibrated with two different models [the Proportional Method (PM), the Simplified Mass Balance (SMB) model] to provide net soil loss data for each morphological unit. Then, for a selected expression of the topographic factor, the slope length exponent is calculated for each morphological unit, equating the calculated sediment yield with the net soil loss. The an…

HydrologyUniversal Soil Loss EquationDistributed element modelMonte Carlo methodExponentSedimentSoil scienceAquatic ScienceStructural basinDigital elevation modelSurface runoffGeologyJournal of Agricultural Engineering Research
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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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Interval Length Analysis in Multi Layer Model

2009

In this paper we present an hypothesis test of randomness based on the probability density function of the symmetrized Kulback-Leibler distance estimated, via a Monte Carlo simulation, by the distributions of the interval lengths detected using the Multi-Layer Model (MLM). The $MLM$ is based on the generation of several sub-samples of an input signal; in particular a set of optimal cut-set thresholds are applied to the data to detect signal properties. In this sense MLM is a general pattern detection method and it can be considered a preprocessing tool for pattern discovery. At the present the test has been evaluated on simulated signals which respect a particular tiled microarray approach …

Hypothesis test Multi layer method BioinformaticsSet (abstract data type)Signal-to-noise ratioTheoretical computer scienceSettore INF/01 - InformaticaComputer scienceMonte Carlo methodProbability density functionInterval (mathematics)SignalAlgorithmRandomnessStatistical hypothesis testing
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Model-based automatic tuning of a filtration control system for submerged anaerobic membrane bioreactors (AnMBR)

2014

This paper describes a model-based method to optimise filtration in submerged AnMBRs. The method is applied to an advanced knowledge-based control system and considers three statistical methods: (1) sensitivity analysis (Morris screening method) to identify an input subset for the advanced controller; (2) Monte Carlo method (trajectory-based random sampling) to find suitable initial values for the control inputs; and (3) optimisation algorithm (performing as a supervisory controller) to re-calibrate these control inputs in order to minimise plant operating costs. The model-based supervisory controller proposed allowed filtration to be optimised with low computational demands (about 5min). E…

INGENIERIA HIDRAULICAEngineeringMonte Carlo methodFiltration and SeparationBiochemistrylaw.inventionControl theorylawGeneral Materials ScienceSensitivity (control systems)Physical and Theoretical ChemistryControl systemProcess engineeringTECNOLOGIA DEL MEDIO AMBIENTESpargingFiltrationOperating costDowntimebusiness.industryModel-based automatic tuningControl engineeringControl systembusinessSubmerged anaerobic membrane bioreactorsModel filtrationJournal of Membrane Science
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Defining level A IVIVC dissolution specifications based on individual in vitro dissolution profiles of a controlled release formulation.

2018

Regulatory guidelines recommend that, when a level A IVIVC is established, dissolution specification should be established using averaged data and the maximum difference between AUC and Cmax between the reference and test formulations cannot be greater than 20%. However, averaging data assumes a loss of information and may reflect a bias in the results. The objective of the current work is to present a new approach to establish dissolution specifications using a new methodology (individual approach) instead of average data (classical approach). Different scenarios were established based on the relationship between in vitro-in vivo dissolution rate coefficient using a level A IVIVC of a cont…

In vitro dissolutionCmaxPharmaceutical Science02 engineering and technologyBioequivalence021001 nanoscience & nanotechnology030226 pharmacology & pharmacyControlled releaseModels Biological03 medical and health sciencesDrug Liberation0302 clinical medicineIVIVCTherapeutic EquivalencyDelayed-Action PreparationsMaximum differenceRange (statistics)Computer Simulation0210 nano-technologyBiological systemDissolutionMonte Carlo MethodMathematicsTabletsEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Update of the Binoth Les Houches Accord for a standard interface between Monte Carlo tools and one-loop programs

2014

We present an update of the Binoth Les Houches Accord (BLHA) to standardise the interface between Monte Carlo programs and codes providing one-loop matrix elements.

Interface (Java)Computer scienceCollider physics530 PhysicsMonte Carlo methodGeneral Physics and AstronomyFOS: Physical sciences10192 Physics Institute01 natural sciencesComputational scienceMatrix (mathematics)AutomationPhysics and Astronomy (all)High Energy Physics - Phenomenology (hep-ph)Collider physic0103 physical sciencesStatistical physics010306 general physicsCollider physicsParticle Physics - PhenomenologyMonte Carlo programNLO computationNLO computationsLOOP (programming language)010308 nuclear & particles physics1708 Hardware and ArchitectureMonte Carlo programsLes Houches Accord3100 General Physics and AstronomyHigh Energy Physics - PhenomenologyHardware and Architecture[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Computer Science::Programming Languagesddc:004
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Monte Carlo evaluation of kerma in an HDR brachytherapy bunker

2004

In recent years, the use of high dose rate (HDR) after-loader machines has greatly increased due to the shift from traditional Cs-137/Ir-192 low dose rate (LDR) to HDR brachytherapy. The method used to calculate the required concrete and, where appropriate, lead shielding in the door is based on analytical methods provided by documents published by the ICRP, the IAEA and the NCRP. The purpose of this study is to perform a more realistic kerma evaluation at the entrance maze door of an HDR bunker using the Monte Carlo code GEANT4. The Monte Carlo results were validated experimentally. The spectrum at the maze entrance door, obtained with Monte Carlo, has an average energy of about 110 keV, m…

Internationalitymedicine.medical_treatmentNuclear engineeringBrachytherapyPhysics::Medical PhysicsMonte Carlo methodBrachytherapyRadiation DosageRisk AssessmentKermaLead shieldingRadiation ProtectionRadiation MonitoringRisk FactorsOccupational ExposuremedicineScattering RadiationComputer SimulationHospital Design and ConstructionRadiology Nuclear Medicine and imagingMonte carlo evaluationLow dose rateSimulationPhysicsModels StatisticalRadiology Department HospitalRadiological and Ultrasound TechnologyMonte carlo codeDose rateMonte Carlo MethodPhysics in Medicine and Biology
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