Informations générales
Goal(s)
Spatial and space-time statistics for data assimilation, optimal interpolation and network design, mapping, image processing , and simulation in geophysical models.
Content(s)
Introduction: random processes in 1, 2 or 3 D (aquifer level, pollutant concentrations in soils, precipitation fields, regionalization of parameters…)
Simple and ordinary Kriging in covariance and variogram.
Structural analyses of randomm processes. Mono- or multi-realisation contexts. Anisotropy, stationarity, trend and drift analysis. Mapping, network design.
Extension of kriging: uncertain data, indicator kriging, cokriging (multivariable). Estimation of domain averaged values.
Stochastic simulations: generation of random fields with specified statistical structure. Marginal and conditional simulations.
Examples of application in hydro-meteorology, groundwater and oil exploration studies.
Prerequisites :
Probability and statistics, engineering hydrology
Test
Written examination (2 hours)
Calendar
S1
Additional Information
24h (20h CM + 2h TD + 2h DS)
Bibliography
Saaks E.H., Srivastava R.M. An introduction to applied geostatistics.
Oxford University Press, 1989
Webster R., Oliver M. Geostatistics for environmental scientists. John Wiley ed, 2nd ed., 2007
OBLED Ch. Cours polycopié de Géostatistique appliqué à l’Hydrologie . Ecole Nationale Supérieure d’Hydraulique et de Mécanique de Grenoble – Edition 2006
French State controlled diploma conferring a Master's degree
