Imaging hydrological dynamics in karst unsaturated zones by time-lapse electrical resistivity tomography.

Drip rate Electrical resistivity tomography Hierarchical agglomerative clustering Infiltration Karst reservoirs

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 02 06 2023
revised: 16 10 2023
accepted: 20 10 2023
medline: 26 10 2023
pubmed: 26 10 2023
entrez: 25 10 2023
Statut: ppublish

Résumé

The hydrodynamics of karst terrain are highly complex due to the diverse fractures and reservoirs within limestone formations. The time delay between rainfall events and subsequent flow into reservoirs exhibits significant variability. However, these hydrological processes are not easily visualized in karst topography. Subsurface geophysics, specifically 2D time-lapse electrical resistivity tomography (ERT), provides an effective method for studying the relationships between hydrological and geophysical features. In our research, we adopted ERT in the Karst Critical Zone (KCZ) to visualize specific karstic zones, including cave galleries, water storage reservoirs, wetting fronts, soil layers, and potential preferential flow paths down to a depth of 20 m. To capture spatial and seasonal variations in resistivity, we presented a comprehensive approach by combining sixteen inversion models obtained between February 2020 and September 2022 above the Villars Cave in SW-France-a well-known prehistoric cave. We used a multi-dimensional statistical technique called Hierarchical Agglomerative Clustering (HAC) to create a composite model that divided the synthetic ERT image into eight clusters representing different karst critical zones. The ERT image clearly visualized the cave gallery with high resistivity values that remained consistent throughout the seasons. Our analysis revealed a close seasonal relationship between water excess and resistivity variations in most infiltration zones, with time delays increasing with depth. The karst reservoirs, located at significant depths compared to other clusters, displayed sensitivity to changes in water excess but were primarily affected by fluctuations in water conductivity, particularly during summer or dry periods. These findings have significant implications for predicting rainwater infiltration pathways into caves, thereby assisting in the conservation and preservation of prehistoric caves and their cultural heritage.

Identifiants

pubmed: 37879471
pii: S0048-9697(23)06664-0
doi: 10.1016/j.scitotenv.2023.168037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

168037

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jian Zhang (J)

Université de Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, F-33400 Talence, France; Arts et Metiers Institute of Technology, CNRS, Bordeaux INP, INRAE, I2M, UMR 5295, F-33400 Talence, France; Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), UMR CNRS, 5805, Université de Bordeaux, 33615 Pessac Cedex, France. Electronic address: jian.zhang@u-bordeaux.fr.

Colette Sirieix (C)

Université de Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, F-33400 Talence, France; Arts et Metiers Institute of Technology, CNRS, Bordeaux INP, INRAE, I2M, UMR 5295, F-33400 Talence, France. Electronic address: colette.sirieix@u-bordeaux.fr.

Dominique Genty (D)

Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), UMR CNRS, 5805, Université de Bordeaux, 33615 Pessac Cedex, France.

Fabien Salmon (F)

Université de Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, F-33400 Talence, France; Arts et Metiers Institute of Technology, CNRS, Bordeaux INP, INRAE, I2M, UMR 5295, F-33400 Talence, France.

Cécile Verdet (C)

Université de Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, F-33400 Talence, France; Arts et Metiers Institute of Technology, CNRS, Bordeaux INP, INRAE, I2M, UMR 5295, F-33400 Talence, France.

Sylvain Mateo (S)

Université de Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, F-33400 Talence, France; Arts et Metiers Institute of Technology, CNRS, Bordeaux INP, INRAE, I2M, UMR 5295, F-33400 Talence, France.

Shan Xu (S)

School of Civil Engineering and Mechanics, Yanshan University, Qinhuangdao, PR China.

Stéphane Bujan (S)

Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), UMR CNRS, 5805, Université de Bordeaux, 33615 Pessac Cedex, France.

Ludovic Devaux (L)

Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), UMR CNRS, 5805, Université de Bordeaux, 33615 Pessac Cedex, France.

Marie Larcanché (M)

Université de Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, F-33400 Talence, France; Arts et Metiers Institute of Technology, CNRS, Bordeaux INP, INRAE, I2M, UMR 5295, F-33400 Talence, France.

Classifications MeSH