Multivariate Statistical Analysis for Water Demand Modeling

Valeria Puleo, Vincenza Notaro, Chiara Maria Fontanazza, Freni, Chiara Maria Fontanazza, Valeria Puleo, Notaro

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)901-908
Number of pages8
JournalProcedia Engineering
Volume89
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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