Estimating minimum feasible water leakage and its economic impact in the drinking water sector: a case study from Chile

In response to escalating global water scarcity, reducing water losses in urban drinking water services has become crucial for enhancing eco-efficiency. This study introduces an innovative methodological approach to benchmark water leakage and its associated operational-cost adjustment in the water sector. The approach employs inverse Data Envelopment Analysis (DEA) through reverse optimization. A case study of Chile’s water industry—marked by prolonged drought but maintaining stable leakage rates—was conducted to demonstrate the methodology’s value. The findings show that 6 out of 27 assessed water companies cannot reduce water leakage without affecting their eco-efficiency. However, for the remaining 21 companies, an average potential leakage reduction of 20.51% is achievable, with reductions ranging from 8.76 to 81.55%. The economic impact of these reductions varies significantly, from US$0.27 to US$38.32 per cubic meter saved. These results highlight the economic complexity of reducing leakage, emphasizing the importance of balanced policies that address water affordability alongside eco-efficiency goals.

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Publication Details

Journal
Applied Water Science
Published
2026-09-29
DOI
https://doi.org/10.1007/s13201-026-02976-x
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
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article

Estimating minimum feasible water leakage and its economic impact in the drinking water sector: a case study from Chile

María Molinos‐Senante, Ramón Sala‐Garrido, Alexandros Maziotis, Victor Mocholí
Applied Water Science
Efficiency Analysis Using DEA
article

Estimating minimum feasible water leakage and its economic impact in the drinking water sector: a case study from Chile

María Molinos‐Senante, Ramón Sala‐Garrido, Alexandros Maziotis, Victor Mocholí
article en

Abstract

In response to escalating global water scarcity, reducing water losses in urban drinking water services has become crucial for enhancing eco-efficiency. This study introduces an innovative methodological approach to benchmark water leakage and its associated operational-cost adjustment in the water sector. The approach employs inverse Data Envelopment Analysis (DEA) through reverse optimization. A case study of Chile’s water industry—marked by prolonged drought but maintaining stable leakage rates—was conducted to demonstrate the methodology’s value. The findings show that 6 out of 27 assessed water companies cannot reduce water leakage without affecting their eco-efficiency. However, for the remaining 21 companies, an average potential leakage reduction of 20.51% is achievable, with reductions ranging from 8.76 to 81.55%. The economic impact of these reductions varies significantly, from US$0.27 to US$38.32 per cubic meter saved. These results highlight the economic complexity of reducing leakage, emphasizing the importance of balanced policies that address water affordability alongside eco-efficiency goals.

Applied Water Science
Universidad de Valladolid (ES), Universitat de València (ES), New York College (GR)
Openalex Percentile: Top 7%
Efficiency Analysis Using DEA
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