Back to Search Start Over

Software for partitioning and protecting a water supply network

Authors :
Dino Musmarra
A. Di Nardo
G. Zaccone
M. Di Natale
Francesco Paolo Tuccinardi
Giovanni Francesco Santonastaso
DI NARDO, Armando
DI NATALE, Michele
Musmarra, Dino
Santonastaso, G. F.
Tuccinardi, F. P.
Zaccone, G.
Source :
Civil Engineering and Environmental Systems. 33:55-69
Publication Year :
2015
Publisher :
Informa UK Limited, 2015.

Abstract

Water network partitioning (WNP) concerns the implementation of the paradigm of ‘divide and conquer’ in the water supply systems consisting in dividing a water network into k smaller subsystems by gate valves and flow meters. WNP allows improving the management of water distribution systems by transforming into Smart WAter Networks (SWANs) that represent key subsystems of Smart Cities. WNP is possible if water utilities start to use isolating valves (also with control devices) and flow meters. These instruments open new perspectives for the management of water supply systems both in terms of water saving and water protection. Recently, starting from the advantages offered by computing power and network analysis tools, some techniques based on graph partitioning algorithms have been developed by the authors to improve water management and protection, implementing the paradigm of ‘divide and conquer’. This paper presents the second release of SWANP 2.0 (Smart WAter Network Partitioning and Protection) software that integrates two different algorithms, based on multilevel and multi-agent techniques, for WNP and a novel algorithm, based on a multi-objective function, for water network protection from intentional contamination. The SWANP 2.0 software, developed in Python v2.7.6 language, provides the decision-maker different solutions comparing network layouts with some hydraulic and protection performance indices.

Details

ISSN :
10290249 and 10286608
Volume :
33
Database :
OpenAIRE
Journal :
Civil Engineering and Environmental Systems
Accession number :
edsair.doi.dedup.....326d9a0d71af7bf840fbf00ea35c862d
Full Text :
https://doi.org/10.1080/10286608.2015.1124867