作者: Shlomo P. Neuman , Peter M. Clifton
DOI:
关键词: Set (abstract data type) 、 Kriging 、 Soil science 、 Aquifer 、 Hydrology 、 Magnitude (mathematics) 、 Covariance 、 Groundwater 、 Covariance matrix 、 Inverse 、 Mathematics
摘要: The geostatistical method of kriging is used to analyze log -transmissivity data from aquifer tests conducted in Avra Valley. This analysis yields estimates spatially averaged -transmissivities over finite subregions the aquifer, plus variance error each estimation, as well covariance errors pair estimated values. information together with measured groundwater level form input for statistical inverse model. output model a modified set subregion matrix corresponding estimation errors. magnitude derived less than that analysis. Thus, logtransmissivity can be greater certainty would possible without procedure.