Search results for " Rainfall-Runoff model"

showing 4 items of 4 documents

Daily streamlow prediction with uncertainty in ephemeral catchments using the GLUE methodology

2009

Abstract The Generalised Likelihood Uncertainty Estimation (GLUE) approach is presented here as a tool for estimating the predictive uncertainty of a rainfall–runoff model. The GLUE methodology allows to recognise the possible equifinality of different parameter sets and assesses the likelihood of a parameters set being acceptable simulator when model predictions are compared to observed field data. The results of the GLUE methodology depend greatly on the choice of the likelihood measure and on the choice of the threshold which determines if a parameters set is behavioural or not. Moreover the sampling size has a strong influence on the uncertainty assessment of the response of a rainfall–…

Computer scienceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEquifinalityVariance (accounting)Measure (mathematics)GeophysicsGeochemistry and PetrologySample size determinationStatisticsEconometricsSample varianceSensitivity analysisGLUEPredictive uncertainty Rainfall-Runoff model Generalized Likelehood Uncertainty Estimation Ephemeral catchmentsUncertainty analysis
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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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Estimation of synthetic flood design hydrographs using a distributed rainfall–runoff model coupled with a copula-based single storm rainfall generator

2014

Abstract. In this paper a procedure to derive synthetic flood design hydrographs (SFDH) using a bivariate representation of rainfall forcing (rainfall duration and intensity) via copulas, which describes and models the correlation between two variables independently of the marginal laws involved, coupled with a distributed rainfall–runoff model, is presented. Rainfall–runoff modelling (R–R modelling) for estimating the hydrological response at the outlet of a catchment was performed by using a conceptual fully distributed procedure based on the Soil Conservation Service – Curve Number method as an excess rainfall model and on a distributed unit hydrograph with climatic dependencies for the …

lcsh:GE1-350Return periodHydrologyFlood mythMeteorologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologialcsh:QE1-996.5Copula (linguistics)lcsh:Geography. Anthropology. RecreationHydrographRunoff curve numberlcsh:TD1-1066Runoff modelDesign hydrographs Flood frequency estimation bivariate analysis copula distributed rainfall-runoff models flood risk analysislcsh:Geologylcsh:GGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:Environmental technology. Sanitary engineeringDigital elevation modellcsh:Environmental sciencesFlow routingNatural Hazards and Earth System Sciences
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Generation of Natural Runoff Monthly Series at Ungauged Sites Using a Regional Regressive Model

2016

Many hydrologic applications require reliable estimates of runoff in river basins to face the widespread lack of data, both in time and in space. A regional method for the reconstruction of monthly runoff series is here developed and applied to Sicily (Italy). A simple modeling structure is adopted, consisting of a regression-based rainfall–runoff model with four model parameters, calibrated through a two-step procedure. Monthly runoff estimates are based on precipitation, temperature, and exploiting the autocorrelation with runoff at the previous month. Model parameters are assessed by specific regional equations as a function of easily measurable physical and climate basin descriptors. Th…

lcsh:Hydraulic engineeringCalibration (statistics)ungauged sitesUngauged siteRainfall-runoff model0208 environmental biotechnologyGeography Planning and DevelopmentDrainage basinmonthly runoff series; Natural streamflow; Rainfall-runoff model; Regionalization; Regression method; Ungauged sites; Aquatic Science; Biochemistry; Water Science and Technology; Geography Planning and Development02 engineering and technologyAquatic ScienceStructural basinRunoff curve numberBiochemistrylcsh:Water supply for domestic and industrial purposeslcsh:TC1-978monthly runoff serieWater Science and TechnologyHydrologygeographylcsh:TD201-500geography.geographical_feature_categorynatural streamflowmonthly runoff series; regression method; rainfall–runoff model; regionalization; ungauged sites; natural streamflowAutocorrelationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaRegression analysisrainfall–runoff model020801 environmental engineeringRunoff modelregression methodregionalizationEnvironmental scienceSurface runoffmonthly runoff seriesWater
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