Comprehensive Evaluation of Optimal Leak Detection in Drinking Water Networks using Simulation-based Decision Analysis

Leak detection in drinking water networks is crucial for resource conservation and infrastructure management. Current standalone detection methods have limitations in accuracy, efficiency, and scalability. This study aims to address the research gap in integrating various technologies with advanced tools for better leak detection in drinking water networks. A comprehensive review of existing leak detection methods and technologies was conducted. Key aspects of the research gap were identified and analyzed. The analysis revealed several limitations in current approaches, including limited synergy between technologies, under utilization of data analytics, lack of standardized evaluation frameworks, insufficient real-time monitoring, and challenges in data handling. This paper presents a comprehensive framework based on multi-criteria decision analysis framework for evaluating technologies used in water pipeline leakage detection. The framework incorporates multiple criteria, including accuracy, coverage, energy costs, maintenance intervals, and specific requirements like pipe material compatibility, pipe pressure ranges, and diameters. A prototype tool leveraging the framework is proposed to assist in decision-making by recommending suitable technologies based on user-defined parameters. The findings aim to support water utilities in selecting cost-effective, reliable, and scalable solutions for efficient infrastructure monitoring and maintenance.