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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 22, issue 6
Hydrol. Earth Syst. Sci., 22, 3351–3373, 2018
https://doi.org/10.5194/hess-22-3351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 3351–3373, 2018
https://doi.org/10.5194/hess-22-3351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Jun 2018

Research article | 18 Jun 2018

Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods

Adrian A. S. Barfod et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (02 Feb 2018) by Monica Riva
AR by Adrian A.S. Barfod on behalf of the Authors (14 Mar 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Apr 2018) by Monica Riva
RR by Anonymous Referee #2 (17 May 2018)
ED: Publish as is (01 Jun 2018) by Monica Riva
Publications Copernicus
Short summary
Three-dimensional geological models are important to securing and managing groundwater. Such models describe the geological architecture, which is used for modeling the flow of groundwater. Common geological modeling approaches result in one model, which does not quantify the architectural uncertainty of the geology. We present a comparison of three different state-of-the-art stochastic multiple-point statistical methods for quantifying the geological uncertainty using real-world datasets.
Three-dimensional geological models are important to securing and managing groundwater. Such...
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