Dynamic segment criticality analysis: A precursor to scheduling of maintenance routines in water distribution networks

Abstract

This study proposes a framework for dynamic segment criticality analysis and its implications on scheduling of some reactive maintenance routines in water distribution networks (WDNs). The framework harmonises multilayer networks which are capable of ascertaining the dynamics of WDNs in discrete time and a novel hybrid segment criticality measure (SCM) to achieve dynamic segment criticality analysis. The novel hybrid SCM utilises reachability theory from complex networks, which accounts for multiple sources, cyclic paths in WDNs, and demand shortfall attributed to segment isolation is computed using Pressure Driven Analysis (PDA) courtesy EPANET. Using a benchmark WDN, North Marin Water District Network, as a case study we have demonstrated the efficacy of the proposed framework and its ability to capture the dynamics of WDNs and evaluate the criticality of any segment given any temporal window. The results indicate the framework accurately evaluates the criticality of all segments within any temporal window and establishes the fact that segment criticality varies with time. Based on the results of this study reactive maintenance routines could be scheduled during temporal periods where the segment criticality measure is minimal to avoid excessive service disruption and customer displeasure. This study supports managers of water utilities with a decision support system to accurately schedule maintenance routines and evaluate segment criticality.

Dynamic segment criticality analysis: A precursor to scheduling of maintenance routines in water distribution networks