SWANP: A Comprehensive Tool for Optimized Water Network Clustering

The creation of district metered areas (DMAs) in water distribution networks (WDNs) is a widely used technique that enables utilities to monitor systems by dividing them into subsystems. This approach effectively supports water balance, pressure management, and protection in case of contamination. The optimal design of DMA can be achieved with the use of advanced algorithms and tools, defining the partitioning of WDNs, which is structured in clustering and dividing phases. This research presents an application of SWANP (Smart Water Network Partitioning and Protection), a cutting-edge software collaboratively developed by researchers, an academic spin-off and water utilities. SWANP enables advanced hydraulic analysis using pressure-driven and demand-driven analyses to optimize WDNs. It offers various partitioning options through a user-friendly GIS-based interface, providing utilities with accessible, automated solutions for network management. In this paper, SWANP software is used to define a preliminary topological partitioning with reference to 38 WDNs, showing improvements in partitioning strategies also without hydraulic simulations. Results indicate cost savings on flow meters and valve installations, along with better control of water distribution systems. SWANP represents a major advancement in water network management, offering utilities innovative solutions for optimizing performance and ensuring sustainable, resilient urban infrastructure.

Authors

Institutions

Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1061/9780784486184.099
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SWANP: A Comprehensive Tool for Optimized Water Network Clustering

Enrico Creaco, Giovanni Francesco Santonastaso, Michele Iervolino, Angelo Leopardi et al.
Network Security and Intrusion Detection
article

SWANP: A Comprehensive Tool for Optimized Water Network Clustering

Enrico Creaco, Giovanni Francesco Santonastaso, Michele Iervolino, Angelo Leopardi, Armando Di Nardo, Ludovica Palma
article en

Abstract

The creation of district metered areas (DMAs) in water distribution networks (WDNs) is a widely used technique that enables utilities to monitor systems by dividing them into subsystems. This approach effectively supports water balance, pressure management, and protection in case of contamination. The optimal design of DMA can be achieved with the use of advanced algorithms and tools, defining the partitioning of WDNs, which is structured in clustering and dividing phases. This research presents an application of SWANP (Smart Water Network Partitioning and Protection), a cutting-edge software collaboratively developed by researchers, an academic spin-off and water utilities. SWANP enables advanced hydraulic analysis using pressure-driven and demand-driven analyses to optimize WDNs. It offers various partitioning options through a user-friendly GIS-based interface, providing utilities with accessible, automated solutions for network management. In this paper, SWANP software is used to define a preliminary topological partitioning with reference to 38 WDNs, showing improvements in partitioning strategies also without hydraulic simulations. Results indicate cost savings on flow meters and valve installations, along with better control of water distribution systems. SWANP represents a major advancement in water network management, offering utilities innovative solutions for optimizing performance and ensuring sustainable, resilient urban infrastructure.

Università degli studi di Cassino e del Lazio Meridionale (IT), University of Pavia (IT), Azienda Ospedaliera Universitaria Università degli Studi della Campania Luigi Vanvitelli (IT), Polytechnique Montréal (CA)
Clean water and sanitation
Openalex Percentile: Top 89%
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.