| Title: |
Mobile Sources Mixing Model Implementation for a Better Quantification of Hydrochemical Origins in Allogenic Karst Outlets: Application on the Ouysse Karst System |
| Authors: |
Viennet, David; Lorette, Guillaume; Labat, David; Fournier, Matthieu; Sebilo, Mathieu; Araspin, Olivier; Crancon, Pierre |
| Contributors: |
Morphodynamique Continentale et Côtière (M2C); Université de Caen Normandie (UNICAEN); Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rouen Normandie (UNIROUEN); Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS); Institut de Mécanique et d'Ingénierie de Bordeaux (I2M-BX); Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies; Géosciences Environnement Toulouse (GET); Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS); Service National d'Observation sur le KARST (SNO Karst); Institut national des sciences de l'Univers (INSU - CNRS); Université de Rouen Normandie (UNIROUEN); Normandie Université (NU); Sorbonne Université (SU); Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris); Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); DAM Île-de-France (DAM/DIF); Direction des Applications Militaires (DAM); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) |
| Source: |
ISSN: 2073-4441 ; Water ; https://hal.science/hal-04290113 ; Water, 2023, 15 (3), ⟨10.3390/w15030397⟩. |
| Publisher Information: |
CCSD; MDPI |
| Publication Year: |
2023 |
| Collection: |
Université Toulouse III - Paul Sabatier: HAL-UPS |
| Subject Terms: |
karst aquifer; hydrochemistry; hydrodynamic; hydrogeology; source mixing model; cross correlation; water resource management; [SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
| Description: |
(IF 3.53; Q1) ; International audience ; 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 km(2) watershed, and is fed by three different chemical facies: (i) Autogenic water from the direct infiltration on the karstified limestones with high HCO3- values (median: 436 mg.L-1); (ii) Water coming from sinking rivers fed by spring coming from igneous rocks with low mineralization but relatively higher K+ values (median: 4.2 mg.L-1); (iii) Highly mineralized water coming from deep evaporitic layers and feeding another sinking river with very high sulfate concentrations (median: 400 mg.L-1). 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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
WOS: 000930192900001 |
| DOI: |
10.3390/w15030397 |
| Availability: |
https://hal.science/hal-04290113; https://hal.science/hal-04290113v1/document; https://hal.science/hal-04290113v1/file/water-15-00397.pdf; https://doi.org/10.3390/w15030397 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.FFCAA93B |
| Database: |
BASE |