Database : OMIV - Time series of hydrochemical parameters on landslides


General metadata

Identifiers :
local : FR-18008901306731-2016-05-23 external : doi:10.25666/DATAUBFC-2016-05-23
Description :
Since 2010, the monitoring network, set up within the framework of the SNO- (Multidisciplinary Observatory of Slope Instabilities). This monitoring network provides a large amount of hydrogeological data
The hydrogeological monitoring is composed of a high frequency and quasi-continuous monitoring, associated with a punctual low frequency monitoring carried out every three months within the framework of field campaigns (on the Séchilienne site only), provides more than ten years of data on the physical parameters of the waters of the unstable massifs monitored by the SNO.
Disciplines :
environmental sciences (sciences of the universe), geochemistry & geophysics (sciences of the universe), geology (sciences of the universe), geosciences, multidisciplinary (sciences of the universe), mineralogy (sciences of the universe)
Keywords :

Dates :
Data acquisition : from Sep 2010 ongoing
Data provision : 25 Nov 2021
Metadata record : Creation : 23 May 2016 Update : 26 Sep 2022

Update periodicity : continually
Language : French (fra)
Additional information :
Data used during Pierre Nevers' thesis, supervised by Catherine Bertrand (MCF in hydrogeology at the Chrono-environment laboratory) and Jérôme Gaillardet (Prof. in geochemistry at the IPGP).

Ts [°C] : Soil temperature
SWC [dimensionless (0-1)] : Volumetric Soil water content
G [W m-2] : Soil heat flux
Ts_manual [°C] : Manual soil temperature
SWC_manual [dimensionless (0-1)] : Manual Volumetric soil water content
Cond_out_auto [µS cm-1] : Electrical Conductivity (water)
Cond_out_manual [µS cm-1] : Manual electrical conductivity (water)
Q [l s-1] : Discharge at the outlet
WL [m] : Water level
HP [bar] : Hydrostatic pressure
GWL_manual [m] : Manual Water table Level
pH_wat [1 to 14] : pH water
T_wat [°C] : Water temperature
T_wat_manual§[°C] : Water temperature, manual
Audience : University: licence, University: master, Research
RightsAttribution, Non Commercial, Share Alike


OMIV (2021): OMIV - Time series of hydrochemical parameters on landslides. OMIV. doi:10.25666/DATAUBFC-2016-05-23


Spatial coverage :

30 entries

Time coverage :

33 entries

Administrative metadata

Data creator : Observatoire Multidisciplinaire des Instabilités de Versant
Data collector : Aurélien Vallet [1], Pierre Nevers [1], Bruno Régent [1], Thibaut Garin [1], Vanessa Stefani [1], Anne Boetsch [2], Maurin Vidal [3], Romain Besso [3], Benjamin Vial [4], Grégory Bièvre [4], Muriel Geeraert [5], Robert Davidson [6], Candide Lissak [6], Vincent Marc [7]
Project member : Catherine Bertrand [1], Thomas Lebourg [3]
[1] : Laboratoire Chrono-environnement (UMR 6249) (Université de Franche-Comté)
[2] : Observatoire des Sciences de l'Univers - Terre, Homme, Environnement, Temps, Astronomie (UAR 3245) (Université de Franche-Comté)
[3] : Observatoire de la Côte d'Azur (UMS 2202)
[4] : Observatoire des Sciences de l’Univers de Grenoble (UAR 832)
[5] : Observatoire de REcherche Montpelliérain de l'Environnement (UAR 3282)
[6] : Littoral Environnement Télédétection Géomatique (UMR 6554) - Caen
[7] : Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (UMR 1114)
Publisher : Observatoire Multidisciplinaire des Instabilités de Versant
Label : Service National d'Observation Observatoire Mutidisciplinaire des Instabilités de Versants
Science contact : Catherine Bertrand website e-mail
Computing contact : Romain Besso e-mail
Projects and funders :
Access : available

Technical metadata

Formats : application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Data acquisition methods :
  • Observational data :
    Low-frequency monitoring is carried out during one-off campaigns and consists of measuring physico-chemical parameters such as temperature, pH and electrical conductivity. The measurements are taken with a WTW pH/Cond 340i probe (Xylem Inc.). The instruments are calibrated before each measurement campaign and the measurements are carried out at a standard temperature of 25°C. The accuracy is 0.1 pH and 0.1 µ for conductivity.

    High-frequency monitoring is made possible by a measuring device installed since 2010 at various stations on unstable slopes. The various groundwater access points (springs, fissures, piezometers) are equipped with multi-parameter probes recording the water level (± 0.05%), temperature (±0.1°C) and electrical conductivity (0.001 to 2,000, ± 0.5%; 0.10 to 100.00, ± 1.5% of the measured value) at a time step varying from ten minutes to half an hour. The probes are calibrated when there is a drift between the manual measurements (made every 3 months) and the automatic measurements.
Datatype : Database


  • An efficient workflow to accurately compute groundwater recharge for the study of rainfall triggered seep-seated landslides. Application to the Séchilienne unstable slope (Western Alps) (doi:10.5194/hess-19-427-2015)
  • Contribution of time-related environmental tracing combined with tracer tests for characterization of a groundwater conceptual model: a case study at the Séchilienne landslide, western Alps (France) (doi:10.1007/s10040-015-1298-2)
  • Landslides as geological hotspots of CO2 emission: clues from the instrumented Séchilienne landslide, western European Alps (doi:10.5194/esurf-9-487-2021)
  • In-situ geophysical and hydro-geochemical monitoring to infer landslide dynamics (Pégairolles- de-l’Escalette landslide, France) (doi:10.1016/j.enggeo.2019.04.009)
  • Structure of the Séchilienne unstable slope from large- scale three-dimensional electrical tomography using a Resistivity Distributed Automated System (R-DAS) (doi:10.1093/gji/ggz259)
  • Numerical code for solving the geochemical mixing model and making diagrams in Nevers et al., to be published in E-surf ("Landslides as geological hotspots of CO2 to the atmosphere: clues from the instrumented Séchilienne landslide, Western European Alps") (doi:10.5281/zenodo.4779121)
  • A multi-dimensional statistical rainfall threshold for deep landslides based on groundwater recharge and support vector machines (doi:10.1007/s11069-016-2453-3)
  • Hydrogeological assessment of a deep- seated coastal landslide based on a multi-disciplinary approach (doi:10.1016/j.geomorph.2020.107440)
  • Functioning and precipitation-displacement modelling on landslides subject to creep deformation (doi:10.1007/s10346-015-0592-3)
  • Fonctionnement hydrogéologique et processus de transfert dans le massif fissuré instable de Séchilienne (Alpes françaises) : apports du couplage de traceurs naturels et isotopiques (hal:tel-03663336)


dat@UBFC is a metadata catalogue for research data produced at UBFC.

Université de Bourgogne, Université de Franche-Comté, UTBM, AgroSup Dijon, ENSMM, BSB, Arts des Metiers