Work

Use of Data-Driven Methods for Water Leak Detection and Consumption Analysis at Microscale and Macroscale

Year: 2024

Type: article

Abstract: This paper presents the application of the Comparison of Flow Pattern Distribution (CFPD) method for detecting water leakage and understanding consumption behaviors at both microscale and macroscale. Implemented at Lille University’s Scientific Campus, this research utilizes Automated Meter Reading (AMR) to collect real-time water supply and consumption data. The research successfully identified several significant leak events by analyzing this data with the CFPD method on weekly and daily scales. The analysis of the data resulted in identifying the seasonal and operational consumption patterns across different periods of the year. The findings highlight the effectiveness of the CFPD method in achieving water conservation and operational efficiency, consequently contributing to the UN Sustainable Development Goal (SDG) 6 concerning clean water and sanitation.

Source: Water

DOI: 10.3390/w16172530

Authors: Elias Farah, Isam Shahrour

Institutions: Holy Spirit University of Kaslik, Université de Lille, Laboratoire de Génie Civil et Géo-Environnement

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action

Open Access status: gold

Estimated APC paid: $2,955