Search results for "Runoff model"

showing 10 items of 28 documents

A space-time rainfall generator for highly convective Mediterranean rainstorms

2003

Distributed hydrological models require fine resolution rainfall inputs, enhancing the practical interest of space-time rainfall models, capable of generating through numerical simulation realistic space-time rainfall intensity fields. Among different mathematical approaches, those based on point processes and built upon a convenient analytical description of the raincell as the fundamental unit, have shown to be particularly suitable and well adapted when extreme rainfall events of convective nature are considered. Starting from previous formulations, some analytical refinements have been considered, allowing practical generation of space-time rainfall intensity fields for that type of rai…

010504 meteorology & atmospheric sciencesMeteorology0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technologyMethod of moments (statistics)01 natural sciencesPoint processlcsh:TD1-1066lcsh:Environmental technology. Sanitary engineering020701 environmental engineering[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereComputer simulationRain gauge[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereSpace timelcsh:QE1-996.5lcsh:Geography. Anthropology. Recreation[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment6. Clean waterRunoff modellcsh:Geologylcsh:G13. Climate actionClimatology[SDU.STU] Sciences of the Universe [physics]/Earth SciencesGeneral Earth and Planetary SciencesEnvironmental scienceIntensity (heat transfer)Generator (mathematics)
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Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds

2017

Critical rainfall thresholds for landslides are powerful tools for preventing landslide hazard. The thresholds are commonly estimated empirically starting from rainfall events that triggered landslides in the past. The creation of the appropriate rainfall–landslide database is one of the main efforts in this approach. In fact, an accurate agreement between the landslide and rainfall information, in terms of location and timing, is essential in order to correctly estimate the rainfall–landslide relationships. A further issue is taking into account the average moisture conditions prior the triggering event, which reasonably may be crucial in determining the sufficient amount of precipitation.…

Antecedent rainfall condition010504 meteorology & atmospheric sciencesMeteorology0211 other engineering and technologiesSoil ScienceContext (language use)02 engineering and technologyRainfall–landslide database01 natural sciencesImage analysisEnvironmental ChemistryRainfall thresholds; Rainfall–landslide database; Image analysis; Antecedent rainfall conditions; Sicily; LithologyPrecipitationSicily0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyEvent (probability theory)021110 strategic defence & security studiesGlobal and Planetary ChangeRainfall thresholdsSpatial databaseSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaAntecedent rainfall conditionsGeologyLandslideRainfall thresholdPollutionHazardRunoff modelLithologyHyetographImage analysiGeologyEnvironmental Earth Sciences
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Exploring the use of multi-gene genetic programming in regional models for the simulation of monthly river runoff series

2023

The use of new data-driven approaches based on the so-called expert systems to simulate runoff generation processes is a promising frontier that may allow for overcoming some modeling difficulties related to more complex traditional approaches. The present study highlights the potential of expert systems in creating regional hydrological models, for which they can benefit from the availability of large database. Different soft computing models for the reconstruction of the monthly natural runoff in river basins are explored, focusing on a new class of heuristic models, which is the Multi-Gene Genetic Programming (MGGP). The region under study is Sicily (Italy), where a regression based rain…

Artificial Neural NetworkSoft computingEnvironmental EngineeringRegional Runoff ModelSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGenetic ProgrammingEnvironmental ChemistryEvolutionary OptimizationSafety Risk Reliability and QualityGeneral Environmental ScienceWater Science and Technology
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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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Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure

2019

The increasing demand for renewable and sustainable energy sources has encouraged the development of small run-of-river plants. Preliminary studies are required to assess the technical and economic feasibility of such plants. In this context, the identification of optimal potential run-of-river sites has become a key issue. In this paper, an approach that is based on GIS tools coupled with a hydrological model has been applied to detect potential locations for a run-of-river plant. A great number of locations has been analyzed to identify those that could assure the achievement of different thresholds of potential power. The environmental and economic feasibility for small hydropower projec…

Control and OptimizationSoil and Water Assessment Toolsmall hydropower020209 energy0208 environmental biotechnologyDrainage basinEnergy Engineering and Power TechnologyContext (language use)GIS-based procedure02 engineering and technologyrun-of-riverlcsh:Technologyrainfall-runoff modelling0202 electrical engineering electronic engineering information engineeringSWATElectrical and Electronic EngineeringEngineering (miscellaneous)HydropowerSmall hydrogeographygeography.geographical_feature_categorylcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryrenewable energy020801 environmental engineeringRenewable energyIdentification (information)Environmental sciencebusinessSurface runoffWater resource managementEnergy (miscellaneous)Energies
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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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An automatic tool for reconstructing monthly time-series of hydro-climatic variables at ungauged basins

2017

Abstract Integrative information models for filling/reconstructing hydro-climatic time-series are required for a variety of practical applications. A GIS-based model for a rapid and reliable assessment of monthly time-series of several key hydro-climatic variables at the basin scale, is here developed as plug-in and applied to the entire region of Sicily (Italy). The plug-in, once the desired basin outlet section and time-window are selected, uses appropriate spatial techniques and algorithms to identify its drainage area and estimate the corresponding mean areal rainfall and temperatures time-series. A recent regional regressive rainfall-runoff model is successively applied for the assessm…

Environmental EngineeringMeteorologyInterface (computing)Rainfall-runoff model0208 environmental biotechnologyDrainage basin02 engineering and technologyStructural basinWater balanceEcosystem modelEvapotranspirationHydrologygeographygeography.geographical_feature_categoryEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGIS020801 environmental engineeringMODISInformation modelEnvironmental scienceThornthwaite methodWater balance modelSurface runoffSoftwareMonthly time-serieEnvironmental Modelling & Software
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Current European approaches in highway runoff management: A review

2022

Highway runoff is one of the most significant non-point sources of pollution for the terrestrial and aquatic environment with biological, physical, and chemical effects. Considering local characteristics, treatment practices, and determining factors are essential for highway runoff management. The aim of this paper is to survey the review of highway runoff management in Europe with emphasis on runoff characterization, treatment, and modeling approaches and identifying possible knowledge gaps exists based on our review. The results showed that highway runoff has spatiotemporal variation, which is the main factor in the regional selection of the best management practice (BMP). Also, recent st…

Environmental sciencesGlobal and Planetary ChangeEnvironmental EngineeringVDP::Technology: 500GE1-350Best management practices (BMPs)Management Monitoring Policy and LawRoad runoffPollutionWaste Management and DisposalRoad runoff modelingRunoff characterizationEnvironmental Challenges
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The Use of GAMLSS Framework for a Non-Stationary Frequency Analysis of Annual Runoff Data over a Mediterranean Area

2022

Climate change affects all the components of the hydrological cycle. Starting from precipitation distribution, climate alterations have direct effects on both surface water and groundwater in terms of their quantity and quality. These effects lead to modifications in water availability for agriculture, ecology and other social uses. Change in rainfall patterns also affects the runoff of natural rivers. For this reason, studying runoff data according to classical hydrological approaches, i.e., statistical inference methods that exploit stationary probability distributions, might result in missing important information relevant to climate change. From this point of view, a new approach has to…

GAMLSSNon-stationaritySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGeography Planning and DevelopmentrunoffAquatic Sciencefrequency analysirainfall–runoff modelBiochemistrynon-stationarity; GAMLSS; runoff; frequency analysis; rainfall–runoff modelWater Science and TechnologyWater
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Annual runoff assessment in arid and semiarid Mediterranean watersheds under the Budyko's framework

2017

The solution of many practical water problems is strictly connected to the availability of reliable and widespread information about runoff. The estimation of mean annual runoff and its interannual variability for any basin over a wide region, even if ungauged, would be fundamental for both water resources assessment and planning and for water quality analysis. Starting from these premises, the main aim of this work is to show a new approach, based on the Budyko's framework, for mapping the mean annual surface runoff and deriving the probability distribution of the annual runoff in arid and semiarid watersheds. As a case study, the entire island of Sicily, Italy, is here proposed. First, ti…

Hydrology010504 meteorology & atmospheric sciencesSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia0208 environmental biotechnologyWater storage02 engineering and technologyRunoff curve numberungauged basinBudyko's curve01 natural sciencesArid020801 environmental engineeringRunoff modelWater resourcesAnnual runoffClimatologyEvapotranspirationEnvironmental scienceWater qualitySurface runoff0105 earth and related environmental sciencesWater Science and TechnologyHydrological Processes
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