Search results for "Water demand"

showing 10 items of 10 documents

A model of the filling process of an intermittent distribution network

2010

In many countries, private tanks are acquired by users to reduce their vulnerability to intermittent supply. The presence of these local reservoirs modifies the user demand pattern and usually increases user water demand at the beginning of the service period depending on the tank filling process. This practice is thus responsible for the inequality that occurs among users: those located in advantaged positions of the network are able to obtain water resources soon after the service period begins, while disadvantaged users have to wait much longer, after the network is full. This dynamic process requires the development of ad hoc models in order to obtain reliable results. This paper discus…

Service (systems architecture)Distribution networksComputer simulationOperations researchComputer scienceProcess (engineering)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGeography Planning and DevelopmentEnvironmental engineeringpipe filling proceWater demandWater resourcesOrder (business)private water tankintermittent distributionwater distribution network modellingWater Science and TechnologyVulnerability (computing)
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A Short-Term Data Based Water Consumption Prediction Approach

2019

A smart water network consists of a large number of devices that measure a wide range of parameters present in distribution networks in an automatic and continuous way. Among these data, you can find the flow, pressure, or totalizer measurements that, when processed with appropriate algorithms, allow for leakage detection at an early stage. These algorithms are mainly based on water demand forecasting. Different approaches for the prediction of water demand are available in the literature. Although they present successful results at different levels, they have two main drawbacks: the inclusion of several seasonalities is quite cumbersome, and the fitting horizons are not very large. With th…

Control and OptimizationSimilarity (geometry)010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnologywaterEnergy Engineering and Power TechnologyContext (language use)forecasting02 engineering and technologycomputer.software_genre01 natural scienceslcsh:TechnologyWater consumptionpattern-basedPattern-basedRange (statistics)medicineSDG 7 - Affordable and Clean EnergyElectrical and Electronic EngineeringLeakage (economics)Machine-learningEngineering (miscellaneous)0105 earth and related environmental sciencesMeasure (data warehouse)Renewable Energy Sustainability and the Environmentlcsh:Tmachine-learningWaterSeasonalityDemand forecastingmedicine.disease020801 environmental engineeringWater demandTerm (time)Stage (hydrology)Data miningcomputerForecastingEnergy (miscellaneous)Energies
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Multivariate Statistical Analysis for Water Demand Modeling

2014

The actual level of water demand is the driving force behind the hydraulic dynamics in water distribution systems. Consequently, it is crucial to estimate it as accurately as possible in order to result in reliable simulation models. In this paper, a copula-based multivariate analysis has been proposed and used for demand prediction for given return period. The analysis is applied to water consumption data collected in the water distribution network of Palermo (Italy). The approach showed to produce consisted demand patterns and to be a powerful tool to be coupled with water distribution network models for design or analysis problems. (C) 2014 Published by Elsevier Ltd.

Return periodMultivariate analysisMultivariate analysiDemand patternsSimulation modelingGeneral Medicinewater demand modeling.Copula (probability theory)Water demandVine copulaMultivariate analysisvine copulaStatisticsEconometricsEnvironmental scienceMultivariate statisticalEngineering(all)water demand modelingProcedia Engineering
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Evaluation of statistical sampling for the assessment of residential consumption totals in water distribution networks

2014

The paper provides insights into stratified sampling, a standard statistical technique that may be employed to assess domestic water use in water distribution networks. The basic idea is to use only a few meters to provide inference on the total water consumption of a network or of a district metered area through the knowledge of some additional stratification variables, such as household typology, size and occupants number. Since any sampling procedure assumes that the variance of the variable at stake is known, either a suitable amount of past consumption data is necessary, or a specific preliminary survey must be carried out, in order to define the sampling plan. An application with real…

EngineeringDistribution networksbusiness.industrySampling (statistics)Inferencestatistical sampling water demand water distribution networksWater consumptionWater demandStratified samplingStatisticsEconometricsbusinessWater useWater Science and TechnologyWater Supply
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A water demand model by means of the artificial neural networks method

2004

Artificial neural networkbusiness.industryComputer scienceArtificial intelligencebusinessWater demand
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Assessment of domestic water consumption in Valencia city through fuzzy-set qualitative comparative analysis

2021

The influence of quantitative and qualitative population conditions needs to be jointly considered in the assessment of urban water demand. Through fuzzy-set qualitative comparative analysis (fsQCA...

education.field_of_studybiologyDomestic water consumptionQualitative comparative analysisGeography Planning and DevelopmentFuzzy setPopulationEnvironmental economicsbiology.organism_classificationGeographyUrban water demandeducationValenciaWater Science and TechnologyUrban Water Journal
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Planning Rehabilitation Actions on Water Distribution Networks in Condition of Data Scarcity

2011

The paper shows a viable approach to the selection of water networks rehabilitation actions, in condition of data scarcity and uncertainty, based on the use of four concise performance literature indices, allowing the analysis and identification of efficient, reliable and robust rehabilitation alternatives, even if assessed on the basis of a relatively small amount of data. A promising statistical sampling method of water consumptions is also described, that may be fruitfully employed within the proposed approach for drafting water balances at network district scale in order to quantify the extent of leakages. The illustrated case study shows that the selected indices are capable to describ…

EngineeringMains electricityRehabilitationDistribution networksOperations researchbusiness.industrymedicine.medical_treatmentmedia_common.quotation_subjectEnvironmental resource managementWater demandScarcityRobustness (computer science)medicineWater distribution networks rehabilitation actions data scarcity performance indices resiliency water balances network samplingService efficiencySelection criterionbusinessmedia_commonWater Distribution Systems Analysis 2010
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Combining the FAO56 agrohydrological model and remote sensing data to assess water demand in a Sicilian irrigation district

2020

<p>Agricultural water use in irrigated areas plays a key role in the Mediterranean regions characterized by semi-arid climate and water shortage. In the face of optimizing irrigation water use, farmers must revise their irrigation practices to increase the drought resilience of agricultural systems and to avoid severe damages in agro-ecosystems. In this direction, during the last decades, the research has been focused on mathematical models to simulate the process of driving mass transport and energy exchanges in the Soil-Plant-Atmosphere system.</p><p>The objective of the paper was to test the suitability of the combination of FAO56 agro-hydrologi…

Remote sensing (archaeology)languageSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental scienceWater resource managementFAO56 Remote sensingSicilianlanguage.human_languageIrrigation districtWater demand
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The state of water resources in major mediterranean islands

2014

This work analyses the state of water resources in six Mediterranean islands: Corsica, Crete, Cyprus, Mallorca, Malta and Sicily. The analysis is focused on the prevailing social, economic and hydroclimatological characteristics of these islands in order to identify the main common features affecting water availability, demand and use. A detailed analysis of the state of water resources in all the considered islands has been carried out. A background of current conditions relating to freshwater availability, quality and use has been established. Different strategies to face water scarcity and enhance water quality in theislands have been assessed in a context of climate change which is a co…

Water DemandDesalination.Mediterranean islandsClimate changeContext (language use)water resourcesGRECEWater scarcitydesalinationEnvironmental protectionWater Resource14. Life underwaterWater Science and Technologybusiness.industryWastewaterReuseEnvironmental resource managementMediterranean IslandWastewater Reuse6. Clean waterWater resourcesCurrent (stream)GeographyWork (electrical)13. Climate action[SDE]Environmental SciencesWater qualitybusinessMediterranean Islands
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Multivariate statistical analysis for water demand modelling: implementation, performance analysis, and comparison with the PRP model

2015

Water demand is the driving force behind hydraulic dynamics in water distribution systems. Consequently, it is crucial to accurately estimate the actual water use to develop reliable simulation models. In this study, copula-based multivariate analysis was proposed and used for demand prediction for a given return period. The analysis was applied to water consumption data collected in the water distribution network of Palermo (Italy). The approach produced consistent demand patterns and could be a powerful tool when coupled with water distribution network models for design or analysis problems. The results were compared with those obtained using a classical water demand model, the Poisson re…

Return periodAtmospheric ScienceEngineeringMultivariate statisticsMultivariate analysisDemand patterns0208 environmental biotechnology02 engineering and technologyPoisson distributionCopula (probability theory)Vine copulasymbols.namesakeStatisticsEconometricsmultivariate analysiwater demand modellingCivil and Structural EngineeringWater Science and Technologybusiness.industryGeotechnical Engineering and Engineering Geology020801 environmental engineeringvine copulasymbolsPoisson rectangular pulse modelbusinessWater useJournal of Hydroinformatics
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