Optimal discharge locations to refill hydric reservoirs with reused water - application to the jaunay lake case study

Author:

Crespo María1,Orsoni Julien2,Bortoli Jérôme2,Rapaport Alain3,Rousseau Antoine4,Jauzein Vincent5

Affiliation:

1. Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain, Phone: +34 914 88 81 26

2. Vendée Eau, 57 rue Paul Émile Victor, 85000 La Roche-sur-Yon, France

3. UMR Mathématiques, Informatique et Statistique pour l'Environnement et l'Agronomie, Université de Montpellier, Institut national de la recherche agronomique, Montpellier SupAgro, 2 Place Pierre Viala, 34060 Montpellier, France

4. Lemon Team, Institut national de recherche en informatique et en automatique Sophia-Antipolis Méditerranée, Antenne de Montpellier, 860 rue Saint-Priest, 34095 Montpellier, France

5. Saur Recherche et Développement, 2 rue de la Bresle, 78310 Maurepas, France

Abstract

In this work, we study optimal strategies of wastewater reuse for refilling Jaunay Lake (a water reservoir located on the French western coast) which shows an alarming volume reduction due to the human water intake. To grasp the multiple issues to ascertain the appropriate location for the reused water discharge, mathematical modelling is particularly adapted for testing different conditions (physical, meteorological) and optimizing the system to achieve targets (maximum allowable concentration of pollutant for drinking water and recreational uses). We focus on modelling the distribution of a generic pollutant in the reservoir, which is expected to vary with time and space. The model assumes that the reservoir volume stays constant (because the flow rates at the refilling and removal points are considered to be quasi-identical), the density of the pollutant is smaller than that of the reservoir water (so that the pollutant remains at the top level of the water column) and its dynamics is influenced by two main effects: wind and water currents. The model accounts for the reservoir geometry, the operating conditions of the transfer pipes (input and output) and real data regarding chronicles of wind velocity and river flow. Then, we tackle a multi-optimization problem which aims to find optimal refilling locations which reduce the pollutant concentration at two strategic regions of the reservoir. A Pareto front is presented as a decision-tool to choose the optimal strategy according to different water quality criteria.

Publisher

Consortium Erudit

Subject

Water Science and Technology

Reference13 articles.

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2. ALCALDE-SANT L. and B. GAWLIK (2014). Water reuse in Europe within guidelines, needs and barriers to innovation. A synoptic overview. JRC Science and policy reports, Publications Office of the European Union, JRC92582, Luxembourg, 51 p.

3. AL-ZAHRANI M., A. MUSA and S. CHOWDHURY (2016). Multi-objective optimization model for water resource management: a case study for Riyadh, Saudi Arabia. S. Environ. Dev. Sustain., 18, 777-798.

4. AUBIN J.P. (1984). L'analyse non linéaire et ses motivations économiques. Coll. Mathématiques Appliquées pour la Maîtrise, Masson, France, 214 p.

5. BARBIER S., A. RAPAPORT and A. ROUSSEAU (2016). Modeling of biological decontamination of water in natural resource environment and related feedback strategies. J. Sci. Comput., 68, 1267-1280.

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