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Joint probabilities of demands on a water distribution network: A non-parametric approach
Sapienza University of Rome, Rome, Italy.ORCID iD: 0000-0002-4714-2511
epartment of Civil Engineering, University of Coimbra, Coimbra, Portugal.
Sapienza University of Rome, Rome, Italy.
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes aprocedure to determine the probability of a specific water demand scenario in a Water Distribution Network (WDN). Stochastic correlated demands are generated for each node of the network using scaling laws. In particular, each demand fits a normal probability density function (PDF). To determine the joint probability of water demands at all nodes of the network, each nodal demand is divided in class intervals and a multidimensional contingency table is built. The joint probability represents the occurrence probability of a specific water demand scenario. The presented approach produces valuable information about demand scenarios and their probability of occurrence in a network. This method can find a further application in the robust optimization models for the design and management of WDN.

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2013. Vol. 1558
Series
AIP Conference Proceedings ; 1
Keywords [en]
Water supply, Demand scenarios, Joint Probabilities, Contingency tables
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:uu:diva-401001DOI: 10.1063/1.4825853OAI: oai:DiVA.org:uu-401001DiVA, id: diva2:1382696
Conference
11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013
Available from: 2020-01-03 Created: 2020-01-03 Last updated: 2020-01-10Bibliographically approved

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Ridolfi, Elena

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