6533b7dcfe1ef96bd12716c4

RESEARCH PRODUCT

Multivariate Statistical Analysis for Water Demand Modeling

Valeria PuleoGabriele FreniChiara Maria FontanazzaVincenza Notaro

subject

Return periodMultivariate analysisMultivariate analysiDemand patternsSimulation modelingGeneral Medicinewater demand modeling.Copula (probability theory)Water demandVine copulaMultivariate analysisvine copulaStatisticsEconometricsEnvironmental scienceMultivariate statisticalEngineering(all)water demand modeling

description

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.

yearjournalcountryeditionlanguage
2014-01-01Procedia Engineering
https://doi.org/10.1016/j.proeng.2014.11.523