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Water 2016, 8(9), 400; doi:10.3390/w8090400

Groundwater Level Mapping Using Multiple-Point Geostatistics

1
Department of Geology and Geological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA
2
Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Received: 5 July 2016 / Revised: 24 August 2016 / Accepted: 31 August 2016 / Published: 13 September 2016
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Abstract

Methods based on two-point geostatistics have been routinely used to interpolate random variables such as groundwater level and concentration and to estimate their values at un-sampled locations. These methods use the observed data to analyze spatial two-point correlations and ignore the higher order moments that may play a key role in the characterization of complex patterns. In this work, a multiple-point geostatistics method is applied to interpolate groundwater level data. To do this, the ensemble simulated groundwater level maps after modeling full physics are used as training images to derive the multiple correlations. An example shows the advantages of using multiple-point geostatistics compared with the traditional two-point geostatistics methods (such as Kriging) for the interpolation of groundwater level data in a complex geological formation. View Full-Text
Keywords: multiple-point statistics; pattern; conditional simulation; interpolation multiple-point statistics; pattern; conditional simulation; interpolation
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Li, L.; Huang, G. Groundwater Level Mapping Using Multiple-Point Geostatistics. Water 2016, 8, 400.

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