Statistical pre-processing and analyses of hydro-meteorological time series in a geologic clay site (methodology and first results for Mont Terri's PP experiment)
Résumé
This article presents a set of statistical methods for pre-processing (or pre-conditioning) and analyzing multivariate hydro-geologic time series, such as pore pressures and atmospheric pressure (temporal structures). The pre-processing methods are necessary to enhance or complete the signals due to defects in the observed time series (data gaps, spurious values, variable time steps). The statistical analyses aim, in fine, at characterizing the hydraulic behaviour of a clayey formation in the context of deep geologic disposal of radioactive waste. Pore water and atmospheric pressure time series from the Mont Terri rock laboratory (BPP-1 borehole) are taken as an example. © 2008 Elsevier Ltd. All rights reserved.
Mots clés
Atmospheric pressure
Atmospherics
Clay minerals
Climatology
Groundwater
Hydrogeology
Industrial waste treatment
Meteorology
Pressure
Radioactive waste disposal
Radioactive wastes
Signal processing
Tides
Time series analysis
Waste disposal
Water
Argillite
Barometric fluctuations
Data gaps
Earth tides
Geologic disposals
Hydraulic behaviours
Low permeability
Pore waters
Pre-processing
Statistical analysis
Temporal structures
Time series
Variable time steps
Statistical methods
argillite
atmospheric pressure
barometry
Earth tide
geostatistics
hydrogeology
hydrometeorology
multivariate analysis
permeability
pore pressure
radioactive waste
time series analysis
waste disposal
Central Europe
Eurasia
Europe
Jura [Switzerland]
Mont Terri
Switzerland