Next Article in Journal
Groundwater and Surface Water Availability via a Joint Simulation with a Double Control of Water Quantity and Ecologically Ideal Shallow Groundwater Depth: A Case Study on the Sanjiang Plain, Northeast China
Previous Article in Journal
Historical Storminess and Hydro-Geological Hazard Temporal Evolution in the Solofrana River Basin—Southern Italy
Article Menu

Export Article

Open AccessArticle
Water 2016, 8(9), 400;

Groundwater Level Mapping Using Multiple-Point Geostatistics

Department of Geology and Geological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA
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
Full-Text   |   PDF [400 KB, uploaded 13 September 2016]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Li, L.; Huang, G. Groundwater Level Mapping Using Multiple-Point Geostatistics. Water 2016, 8, 400.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top