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GroMoPo Metadata for South-Central Kansas geostatistical model

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Created: Feb 08, 2023 at 3:57 a.m.
Last updated: Feb 08, 2023 at 3:58 a.m.
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This paper emphasizes the supportive role of geostatistics in applying ground-water models. Field data of 1994 ground-water level, bedrock, and saltwater-freshwater interface elevations in south-central Kansas were collected and analyzed using the geostatistical approach. Ordinary kriging was adopted to estimate initial conditions for ground-water levels and topography of the Permian bedrock at the nodes of a finite difference grid used in a three-dimensional numerical model. Cokriging was used to estimate initial conditions for the saltwater-freshwater interface. An assessment of uncertainties in the estimated data is presented. The kriged and cokriged estimation variances were analyzed to evaluate the adequacy of data employed in the modeling. Although water levels and bedrock elevations are well described by spherical semivariogram models, additional data are required for better cokriging estimation of the interface data. The geostatistically analyzed data were employed in a numerical model of the Siefkes site in the project area. Results indicate that the computed chloride concentrations and ground-water drawdowns reproduced the observed data satisfactorily.

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
United States
North Latitude
East Longitude
South Latitude
West Longitude


Additional Metadata

Name Value
DOI 10.1061/(ASCE)1084-0699(1999)4:1(57)
Depth 530
Scale 1 001 - 10 000 km²
Layers 1
Purpose Groundwater resources;Groundwater contamination;Salt water intrusion
GroMoPo_ID 187
IsVerified True
Model Code Kriging
Model Link
Model Time SS
Model Year 1999
Model Authors Ma, TS; Sophocleous, M; Yu, YS
Model Country United States
Data Available Report/paper only
Developer Email NA
Dominant Geology Unconsolidated sediments
Developer Country USA
Original Developer No
Additional Information Applied geostatistical model (kriging) to assess groundwater resources in Western Kansas, USA
Integration or Coupling None of the above
Evaluation or Calibration Static water levels
Geologic Data Availability No

How to Cite

GroMoPo, K. Comapre (2023). GroMoPo Metadata for South-Central Kansas geostatistical model, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


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