EN 
PT 
ES Real and Apparent Water Losses: Understanding the Differences
The sanitation sector in Brazil operates a gigantic infrastructure. There are more than 750,000 kilometers of water networks to serve 831,300 of the population.
Despite this coverage, the country faces a critical challenge: the data from SINISA They indicate that the average water loss rate reaches 40% across the entire national territory.
This volume of Unrevenue Water (UNWW) is divided into two categories with different origins and operational impacts:
- Actual (Physical) Losses: Leaks and ruptures in the distribution infrastructure.
- Apparent Losses (Commercial): Fraud, registration errors, and malfunctioning water meters.
To meet the goals of Legal Framework for Sanitation If the loss limit reaches 25%, reactive management is insufficient. Utilities need data intelligence to act precisely in the field.
Actual Losses vs. Apparent Losses: What is the Practical Difference?
Although both types cause losses for the operator, the origin and combat strategy for each are distinct.
1. Actual (Physical) Losses
This refers to treated water that physically leaks from the pipes before reaching the consumer's tap.
- Origin: Pipe ruptures, excessive pressure variations in the network, and overflowing reservoirs.
- The biggest bottleneck: You invisible (hidden) leaks. Because they don't emerge onto the sidewalk, they remain active underground for months, wasting treated water and increasing electricity costs.
2. Apparent (Commercial) Losses
In this scenario, the water reaches the property and is consumed by the population, but The water utility company does not bill for that volume..
- Origin: Illegal connections ("gatos"), fraud, and flaws in the company's commercial registration.
- The biggest bottleneck: A under-measurement of water meters. Older appliances lose technical accuracy over time and register lower consumption than the actual volume delivered.
Comparative
| Analysis Criteria | Actual (Physical) Loss | Apparent Loss (Commercial) |
|---|---|---|
| Origin of the Problem | Hidden leaks and pipe failures | Fraud, illegal connections, and malfunctions in water meter readings. |
| Direct Impact | Waste of resources and energy costs. | Immediate loss of revenue in the company's cash flow. |
| Effect on Cost | It increases the unit cost of producing m³. | It prevents proper billing for the service provided. |
| Action Strategy | Acoustic scanning and preventive network management | Predictive analysis of consumer data and auditing. |
Sanesul Success Story
To inspect 5,000 connections without hindering the capacity of field teams, Sanesul adopted 4Fluid, a noise management module with artificial intelligence.
The results demonstrate the impact of targeted scanning:
- Operational Agility: 83% reduction in inspection time (the scan time dropped from 6 months to just 1 month).
- Losses Identified: 126 commercial fraud cases and 76 hidden leak points located for maintenance.
- Predictive Accuracy: The system's intelligence achieved 66% accuracy in alerts, with 2 correct predictions for every 3 Service Orders (SOs) in the field.
A Platform that Understands the Pathways of Water
Stattus4 has developed AI and IoT-based solutions designed to transform field data into rapid management decisions.
- 4Fluid: It analyzes noise in the distribution network, indicates suspected leak points, and optimizes the sweeping operation.
- Ada: It centralizes operational information, identifies anomalies, and generates pressure and flow alarms.
From Reactive Modeling to Predictive Monitoring
Waiting for water to spring up on the sidewalk or discovering fraud only through random audits represents a reactive, costly, and time-consuming management approach.
The continuous reduction of real and apparent losses requires predictive monitoring and data intelligence.
By modernizing network management, concessionaires comply with the requirements of the Legal Framework for Sanitation, recover billed revenue, and contribute to the water resilience of cities.
How about applying technology to your operation and optimizing the work of your field teams?