Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System

On the edge of sedimentary basins, karst aquifers can be fed by several water sources from both autogenic and allogenic recharge. In some cases, assessing water origins can be hard and cause some difficulties for water resource management. The main goal of this study is to show the implementation of...

Full description

Bibliographic Details
Main Authors: David Viennet, Guillaume Lorette, David Labat, Matthieu Fournier, Mathieu Sebilo, Olivier Araspin, Pierre Crançon
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/3/397
_version_ 1797623144763097088
author David Viennet
Guillaume Lorette
David Labat
Matthieu Fournier
Mathieu Sebilo
Olivier Araspin
Pierre Crançon
author_facet David Viennet
Guillaume Lorette
David Labat
Matthieu Fournier
Mathieu Sebilo
Olivier Araspin
Pierre Crançon
author_sort David Viennet
collection DOAJ
description On the edge of sedimentary basins, karst aquifers can be fed by several water sources from both autogenic and allogenic recharge. In some cases, assessing water origins can be hard and cause some difficulties for water resource management. The main goal of this study is to show the implementation of the mobile sources mixing model approach. More precisely, this research develops how a monitoring method using a multi-proxy approach can be used to quantify waters sources contributions from several origins at the outlets of a karst system. The study site is the Ouysse karst system, located in western France. The site offers the opportunity to understand the mixing processes between allogenic and autogenic water recharges. The karst system covers a 650 km² watershed, and is fed by three different chemical facies: (i) Autogenic water from the direct infiltration on the karstified limestones with high HCO<sub>3</sub><sup>−</sup> values (median: 436 mg.L<sup>−1</sup>); (ii) Water coming from sinking rivers fed by spring coming from igneous rocks with low mineralization but relatively higher K<sup>+</sup> values (median: 4.2 mg.L<sup>−1</sup>); (iii) Highly mineralized water coming from deep evaporitic layers and feeding another sinking river with very high sulfate concentrations (median: 400 mg.L<sup>−1</sup>). Sliding window cross-correlation analyses and hydrochemical analyses during a flood event are performed to implement a mobile source mixing model approach. This approach shows significant differences with a simple fixed source mixing model and appears more reliable but requires more time and money to carry out. The results and conclusion of this study will be used for forecasting and managing operational actions for resource management.
first_indexed 2024-03-11T09:20:30Z
format Article
id doaj.art-c9db2b7658c04b018d01f32852ac7df6
institution Directory Open Access Journal
issn 2073-4441
language English
last_indexed 2024-03-11T09:20:30Z
publishDate 2023-01-01
publisher MDPI AG
record_format Article
series Water
spelling doaj.art-c9db2b7658c04b018d01f32852ac7df62023-11-16T18:22:03ZengMDPI AGWater2073-44412023-01-0115339710.3390/w15030397Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst SystemDavid Viennet0Guillaume Lorette1David Labat2Matthieu Fournier3Mathieu Sebilo4Olivier Araspin5Pierre Crançon6Causses du Quercy UNESCO Global Geopark, Labastide-Murat, 46240 Cœur de Causse, FranceCausses du Quercy UNESCO Global Geopark, Labastide-Murat, 46240 Cœur de Causse, FranceGéosciences Environnement, University of Toulouse Toulouse, CNRS UPS IRD CNES, 31400 Toulouse, FranceContinental and Coastal Morphodynamics Laboratory Normandie University, UNIROUEN, UNICAEN, CNRS M2C, 76000 Rouen, FranceInstitute of Ecology and Environmental Sciences–Paris, Sorbonne Université, CNRS, INRAE, IRD, UPD, UPEC, IEES, 75005 Paris, FranceCEA, DAM, DIF, F-91297 Arpajon, FranceCEA, DAM, DIF, F-91297 Arpajon, FranceOn the edge of sedimentary basins, karst aquifers can be fed by several water sources from both autogenic and allogenic recharge. In some cases, assessing water origins can be hard and cause some difficulties for water resource management. The main goal of this study is to show the implementation of the mobile sources mixing model approach. More precisely, this research develops how a monitoring method using a multi-proxy approach can be used to quantify waters sources contributions from several origins at the outlets of a karst system. The study site is the Ouysse karst system, located in western France. The site offers the opportunity to understand the mixing processes between allogenic and autogenic water recharges. The karst system covers a 650 km² watershed, and is fed by three different chemical facies: (i) Autogenic water from the direct infiltration on the karstified limestones with high HCO<sub>3</sub><sup>−</sup> values (median: 436 mg.L<sup>−1</sup>); (ii) Water coming from sinking rivers fed by spring coming from igneous rocks with low mineralization but relatively higher K<sup>+</sup> values (median: 4.2 mg.L<sup>−1</sup>); (iii) Highly mineralized water coming from deep evaporitic layers and feeding another sinking river with very high sulfate concentrations (median: 400 mg.L<sup>−1</sup>). Sliding window cross-correlation analyses and hydrochemical analyses during a flood event are performed to implement a mobile source mixing model approach. This approach shows significant differences with a simple fixed source mixing model and appears more reliable but requires more time and money to carry out. The results and conclusion of this study will be used for forecasting and managing operational actions for resource management.https://www.mdpi.com/2073-4441/15/3/397karst aquiferhydrochemistryhydrodynamichydrogeologysource mixing modelcross correlation
spellingShingle David Viennet
Guillaume Lorette
David Labat
Matthieu Fournier
Mathieu Sebilo
Olivier Araspin
Pierre Crançon
Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System
Water
karst aquifer
hydrochemistry
hydrodynamic
hydrogeology
source mixing model
cross correlation
title Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System
title_full Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System
title_fullStr Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System
title_full_unstemmed Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System
title_short Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System
title_sort mobile sources mixing model implementation for a better quantification of hydrochemical origins in allogenic karst outlets application on the ouysse karst system
topic karst aquifer
hydrochemistry
hydrodynamic
hydrogeology
source mixing model
cross correlation
url https://www.mdpi.com/2073-4441/15/3/397
work_keys_str_mv AT davidviennet mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem
AT guillaumelorette mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem
AT davidlabat mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem
AT matthieufournier mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem
AT mathieusebilo mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem
AT olivieraraspin mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem
AT pierrecrancon mobilesourcesmixingmodelimplementationforabetterquantificationofhydrochemicaloriginsinallogenickarstoutletsapplicationontheouyssekarstsystem