Journal Article

Regression-based design optimization of French treatment wetlands

Molle, Pascal, Réduire, valoriser, réutiliser les ressources des eaux résiduaires (UR REVERSAAL) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Legeai, Zoé, Forquet, Nicolas, Mathématiques et Informatique Appliquées (MIA Paris-Saclay) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF) ; École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-École polytechnique (X) ; Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Institut Curie [Paris]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), IWA Publishing, INTERREG Caribbean program under the European Regional Development Fund, Tonda, Alberto, Martinique and Guadeloupe Water Offices

2025

Overview

This study presents a novel approach for the automatic optimization of sizing French vertical flow wetlands, a widely used solution in wastewater treatment across France, with over 6,000 operational units. By leveraging a comprehensive database collected by the French National Research Institute for Agriculture, Food and Environment (INRAE), we have developed robust regression models that link total Kjeldahl nitrogen to surface and total chemical oxygen demand to material depth. By integrating these models into a unified optimization framework, our methodology enhances the design of the entire treatment train, particularly addressing how the sizing of the first stage influences the second stage sizing while complying with stringent effluent quality standards. Extensive validation confirms the effectiveness and reliability of our approach, which is tailored to specific influent characteristics and regulatory requirements. Our strategy improves upon traditional sizing methods, which often rely on surface loads, by allowing for refined optimization based on specific performance targets. The findings contribute to improved design practices and suggest potential directions for future developments, including the integration of additional treatment processes and multi-criteria decision analysis for broader applicability in wastewater management.

• Publisher: CCSD,IWA Publishing
• Subject: Agricultural research / Biodegradation / Biological Oxygen Demand Analysis / Chemical oxygen demand / Chemicals / Decision analysis / Design / Design improvements / Design optimization / Effluent standards / Environmental Sciences / France / Influents / Models, Theoretical / Multiple criterion / Oxygen requirement / Quality standards / Regression Analysis / Regression models / Sizing / Vertical flow / Vertical mixing / Waste Disposal, Fluid - methods / Wastewater / Wastewater management / Wastewater treatment / Water Purification - methods / Wetlands
• ISBN: 0015080057000