AUTHOR=Chaffaut Quentin , Lesparre Nolwenn , Masson Frédéric , Hinderer Jacques , Viville Daniel , Bernard Jean-Daniel , Ferhat Gilbert , Cotel Solenn TITLE=Hybrid Gravimetry to Map Water Storage Dynamics in a Mountain Catchment JOURNAL=Frontiers in Water VOLUME=Volume 3 - 2021 YEAR=2022 URL=https://www.frontiersin.org/journals/water/articles/10.3389/frwa.2021.715298 DOI=10.3389/frwa.2021.715298 ISSN=2624-9375 ABSTRACT=

In mountain areas, both the ecosystem and the local population highly depend on water availability. However, water storage dynamics in mountains is challenging to assess because it is highly variable both in time and space. This calls for innovative observation methods that can tackle such measurement challenge. Among them, gravimetry is particularly well-suited as it is directly sensitive–in the sense it does not require any petrophysical relationship–to temporal changes in water content occurring at surface or underground at an intermediate spatial scale (i.e., in a radius of 100 m). To provide constrains on water storage changes in a small headwater catchment (Strengbach catchment, France), we implemented a hybrid gravity approach combining in-situ precise continuous gravity monitoring using a superconducting gravimeter, with relative time-lapse gravity made with a portable Scintrex CG5 gravimeter over a network of 16 stations. This paper presents the resulting spatio-temporal changes in gravity and discusses them in terms of spatial heterogeneities of water storage. We interpret the spatio-temporal changes in gravity by means of: (i) a topography model which assumes spatially homogeneous water storage changes within the catchment, (ii) the topographic wetness index, and (iii) for the first time to our knowledge in a mountain context, by means of a physically based distributed hydrological model. This study therefore demonstrates the ability of hybrid gravimetry to assess the water storage dynamics in a mountain hydrosystem and shows that it provides observations not presumed by the applied physically based distributed hydrological model.