Ense3 rubrique Formation 2022

Environmental geostatistics - 5EMHAAN0

  • Number of hours

    • Lectures 10.0
    • Tutorials 10.0
    • Laboratory works 2.0

    ECTS

    ECTS 1.5

Goal(s)

Spatial and space-time statistics for data assimilation, optimal interpolation and network design, mapping, image processing , and simulation in geophysical models.

Contact Isabella TOMASINO

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 random 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)



Additional Information

Course list
Curriculum->HOE->Semester 5

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