Assessing carbon and pollutant efficiency in wastewater treatment plants: A data-driven benchmarking framework using latent class stochastic frontier analysis

Authors

María Molinos‐Senante (ORCID: https://orcid.org/0000-0002-6689-6861)
Ramón Sala‐Garrido (ORCID: https://orcid.org/0000-0002-4693-3944)
Alexandros Maziotis (ORCID: https://orcid.org/0000-0001-9817-1470)

Publication Details

Journal: Journal of Cleaner Production
Published: 2025-08-18
DOI: https://doi.org/10.1016/j.jclepro.2025.146413
Citations: 2
Primary Topic: Water Quality Monitoring and Analysis
Type: article
Field-Weighted Citation Impact: 1.99

Funders

Agencia Estatal de Investigación

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article

Assessing carbon and pollutant efficiency in wastewater treatment plants: A data-driven benchmarking framework using latent class stochastic frontier analysis

María Molinos‐Senante, Ramón Sala‐Garrido, Alexandros Maziotis

Aug 18, 2025

2 citations

Journal of Cleaner Production

Water Quality Monitoring and Analysis

1.99

article

Assessing carbon and pollutant efficiency in wastewater treatment plants: A data-driven benchmarking framework using latent class stochastic frontier analysis

María Molinos‐Senante, Ramón Sala‐Garrido, Alexandros Maziotis

August 18, 2025article en

2 citations

Abstract

No abstract available for this paper.

Journal of Cleaner ProductionVol. 523

Agencia Estatal de Investigación

Clean water and sanitation

Openalex Percentile: Top 13%

Water Quality Monitoring and Analysis

1.99

DOI Open Access PDF OpenAlex

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Assessing carbon and pollutant efficiency in wastewater treatment plants: A data-driven benchmarking framework using latent class stochastic frontier analysis — María Molinos‐Senante, Ramón Sala‐Garrido, et al. · Journal of Cleaner Production (2025) | TGRS Research Map | TGRS