Geostatistics in Groundwater Sampling Design

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by Fethi Ben Jemaa, Univ of California, Davis, United States,
Miguel A. Mariño, Univ of California, Davis, United States,

Document Type: Proceeding Paper

Part of: Water Resources Planning and Management and Urban Water Resources

Abstract: The geostatistical methods of kriging and co-kriging are compared as tools for the design of an optimal groundwater monitoring network. First, the network is optimized using single-variable kriging. Two aquifer properties are considered: the transmissivity (T) and the specific capacity (SC). The optimal network solutions resulting from considering each variable separately are then compared to the optimal solution yielded by the use of joint estimation through co-kriging.

Subject Headings: Groundwater | Statistics | Hydraulic design | Kriging | Aquifers | Joints | Optimization models | Geology | Water sampling | South Carolina | North America | United States

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