Geostatistical inference of hydrogeological parameters with a large number of unknowns [thesis]

Wei Li, Olaf A. Cirpka, Peter Reichert
Flow and transport models in porous media have become a very important tool in groundwater management. To implement these models, spatial distributions of hydrogeological parameters must be known. Due to scarcity of direct measurements, the parameters are mainly inferred from secondary dependent information such as head or concentration measurements. The inference of hydrogeological parameters from secondary information is referred to as inverse problem of groundwater modeling. Because of
more » ... tent assumptions about the spatial variability of porous media, inverse methods within the framework of geostatistics are well suited for estimating the spatial distributions of hydrogeological parameters in heterogeneous aquifers. In geostatistics, the parameter field is regarded as a spatial random variable.
doi:10.3929/ethz-a-005724349 fatcat:f6rxbnuyx5ajni5sb2ipyugnri