Identification of Aquifer Parameters in Confined Groundwater Flow

by Mohamed S. Hantush, Univ of California, United States,
Miguel A. Mariño, Univ of California, United States,

Abstract: The logarithm of the aquifer properties, log transmissivity (log T) and log storativity (log S), are regarded as realizations of stochastic processes whose estimates are required. The solution to this problem is achieved as follows. First, select a statistical structure that characterizes the average fields of log T and log S and their variabilities at different scales. Second, establish a covariance matrix of point head measurements and cross-covariance matrices among head measurements and log T and log S. Third, given all available head and aquifer properties measurements, the maximum likelihood method is used to identify parameters of the proposed statistical structures of log T and log S. Fourth, cokriging or standard linear estimation is used to predict block-averaged log T and log S fields with their mean square errors of estimates.

Subject Headings: Parameters (statistics) | Groundwater flow | Aquifers | Stochastic processes | Wood structures | Matrix (mathematics) | Errors (statistics)

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