Water Loss and Leak Detection Industry Updates

1. The Expanding Role Of High‑Sensitivity Acoustic Sensing In Reducing Non‑Revenue Water 6/3/2026

   Discover how a layered approach to leak detection — combining network-level analytics with trusted surface acoustics — helps utilities isolate underground water loss, reduce unnecessary excavations, and drive measurable reductions in non-revenue water.

2. Getting Practical About Non-Revenue Water 5/29/2026
   Problems faced by water utilities seem to grow in both quantity and complexity each year. Among the most persistent challenges is non-revenue water (NRW). In a recent Water Online Live event, industry experts gathered to discuss this multifaceted challenge.
3. Remote Water Meter Reader: How To Retrofit Existing Water Meters For Automatic Reading 5/21/2026

   Automating manual water meter readings reduces non-revenue water loss and eliminates tedious site inspections. Retrofitting existing meters with cellular data loggers provides continuous, real-time analytics, enabling operators to identify hidden leaks and optimize multi-facility infrastructure management instantly.

4. Hidden Risks Beneath The Surface: Why Transmission Main Leak Monitoring Matters 5/6/2026

   Water utilities can significantly reduce revenue loss by integrating acoustic leak detection, pipe condition assessments, and automated pressure management. This proactive approach identifies hidden infrastructure weaknesses, prevents catastrophic bursts, and optimizes operational efficiency for long-term sustainability.

5. Success Is The Break That Never Happened: How Embedded Acoustic Intelligence In Ultrasonic Meters Prevents Failure 3/20/2026

   Embedded acoustic sensing in ultrasonic meters enables continuous leak monitoring, helping utilities detect problems earlier, reduce water loss, and shift from reactive repairs to proactive infrastructure management.

6. Program Over Product: The Proven Path To Reducing Non‑Revenue Water 3/11/2026

   Stop treating non-revenue water as a series of isolated leaks. By adopting a structured, audit-based program, utilities gain the system-wide visibility needed to prioritize repairs, recover lost revenue, and transition from reactive maintenance to proactive infrastructure management.

7. A Dynamic Trio Helps Tackle The Challenge Of Non-Revenue Water 2/25/2026

   Non-revenue water is a global problem: Around 30% of drinking water is lost on its way to the consumer. But this decades-old problem can now be solved: By applying proven, easy-to-use digital solutions, utilities can now make the best use of data they already have from sensors and from hydraulic models to learn more about how much water they are losing and why.

8. Study Reveals A Comprehensive Guide To IoT Integration For Non-Revenue Water Management 2/18/2026
   A recent study argues that the traditional, manual approach to drinking-water distribution-network monitoring and leak prevention is no longer sustainable. Instead, utilities must embrace the Internet of Things (IoT) to transition from reactive repairs to proactive asset management.
9. Tackling The Trillion-Gallon Problem: Water Loss Reduction Initiatives Benefit Utilities And Consumers Alike 2/17/2026
   In the U.S. alone, 2.7 trillion gallons of water are lost to non-revenue water (NRW) every year, costing water utilities more than $6.4 billion annually in unrealized revenue. Given the scale of the issue — volumes and dollars — NRW presents an opportunity for upscaling utility management.
10. Three Acoustic Technologies For Leak Detection And Pipe Assessment 2/12/2026

    Water companies face a constant battle against leaks, aging infrastructure, and the need for efficient asset management. Acoustic technology has been successfully used in leak detection, pipe assessment, and continuous leak monitoring for decades. These technologies leverage advanced signal processing and machine learning, offering a proactive approach to managing water distribution networks. Let's examine three technologies that are achieving great results around the world.