Design of Monitoring Systems for Contaminant Detection in Water Networks Under Pipe Break-Induced Events

Area of Science:

• Environmental Engineering
• Water Resource Management
• Public Health Infrastructure

Background:

• Water distribution networks (WDNs) are vital for public health but susceptible to contamination.
• Rapid detection of contaminants in WDNs is crucial for ensuring water safety.
• Low-pressure events, such as pipe breaks, can create vulnerabilities for contaminant intrusion.

Purpose of the Study:

• To compare topological and optimization-based sensor placement methods in WDNs.
• To introduce a novel method for modeling contamination intrusion during low-pressure events.
• To evaluate sensor system performance considering hydraulic conditions and water quality dynamics.

Main Methods:

• Developed a dynamic model for contaminant intrusion volume based on node pressure during pipe breaks.
• Compared topological and optimization-based sensor placement strategies.
• Assessed sensor performance under intentional and accidental contamination scenarios.
• Investigated the impact of E. coli inactivation in chlorinated systems on detection.

Main Results:

• Optimization-based sensor placement generally outperforms the topological approach.
• The performance gap between methods decreases with more sensors or diverse test scenarios.
• E. coli is an unreliable indicator in chlorinated systems due to rapid inactivation.
• Sensor type and detection thresholds significantly influence detection performance.

Conclusions:

• Tailored sensor placement strategies are essential for effective contamination detection in WDNs.
• Hydraulic conditions and water quality dynamics must be integrated into sensor system evaluation.
• Careful selection of sensor types and thresholds is critical for reliable water safety monitoring.