Simultaneous estimation of transmissivity (or conductivity), storage coefficient (or porosity) and effective recharge, in a stochastic framework

Abstract:

Solving differential equations, which rule transient groundwater flow in confined or unconfined porous aquifers, implies the previous knowledge of hydrogeological parameters and effective recharge. In a stochastic framework the hydrogeological parameters are seen as random functions and their log-transforms can be represented by stationary isotropic multivariate normal random functions characterized by a small number of parameters. Recharge from rainfall can be assessed as a percentage of total precipitation. An algorithm, based on an inverse method approach, which simultaneously estimates all these parameters is described. This algorithm is complemented by a co-kriging technique which produces the first and second conditional moments of those hydrogeological parameters. A short description, as well as an application of this methodology to a synthetic case, is presented, including comparisons between 'real' and expected conductivity, porosity and piezometric fields. The variance of estimation of the expected fields is also given.

Año de publicación:

2000

Keywords:

Fuente:

scopus