Monitoring of groundwater redistribution in a karst aquifer using a superconducting gravimeter - INSU - Institut national des sciences de l'Univers
Journal Articles E3S Web of Conferences Year : 2019

Monitoring of groundwater redistribution in a karst aquifer using a superconducting gravimeter

Abstract

Geodetic tools monitor the earth's deformation and gravity field. They are presently sensitive enough to record subtle changes triggered by hydrological processes, thus providing complementary data to standard hydrological measurements. Among these tools, superconducting gravimeter (SG) have proven useful to unravel groundwater redistribution, which significantly alter the gravity field. In the frame of the EquipEx MIGA (Matter wave-laser based Interferometer Gravitation Antenna) project, one SG (iOSG-24) was set up in July 2015 in the Low-noise Underground Laboratory (LSBB) at Rustrel, France, in a gallery located 500 m beneath the surface. In this work, we analyse the underground iOSG-24 gravity time series together with hydro-meteorological data and basic gravity modelling. We find that the gravimeter recorded the redistribution of water in the ground and that most of this redistribution occurs in the unsaturated zone located above the gravimeter. Nevertheless, residuals between our model and the gravity data suggest the occurrence of large lateral fluxes and rapid runoff not considered in our model. We discuss how the setting of a second SG, planned in July 2018, at the surface of the LSBB could help unravelling such hydrological processes.
Fichier principal
Vignette du fichier
e3sconf_i-dust2018_03001.pdf (10.98 Mo) Télécharger le fichier
Origin Publisher files allowed on an open archive
Loading...

Dates and versions

insu-02047518 , version 1 (25-02-2019)

Licence

Identifiers

Cite

Maxime Mouyen, Laurent Longuevergne, Konstantinos Chalikakis, Naomi Mazzilli, Chloé Ollivier, et al.. Monitoring of groundwater redistribution in a karst aquifer using a superconducting gravimeter. E3S Web of Conferences, 2019, i-DUST 2018 – Inter-Disciplinary Underground Science & Technology, 88, pp.03001. ⟨10.1051/e3sconf/20198803001⟩. ⟨insu-02047518⟩
248 View
435 Download

Altmetric

Share

More