Integrating multiple scales of hydraulic conductivity measurements in training image-based stochastic models-Reference-Cited by-同舟云学术

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Integrating multiple scales of hydraulic conductivity measurements in training image-based stochastic models

Published:2015-01 Issue:1 Volume:51 Page:465-480
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Mahmud K.¹²,Mariethoz G.²³⁴,Baker A.¹,Sharma A.²

Affiliation:

1. Connected Waters Initiative Research Centre, University of New South Wales; Sydney New South Wales Australia

2. School of Civil and Environmental Engineering, University of New South Wales; Sydney New South Wales Australia

3. Institute of Earth Surface Dynamics, University of Lausanne; Lausanne Switzerland

4. Department of Earth Sciences; ETH Zurich; Zurich Switzerland

Funder

University of New South Wales

National Centre for Groundwater Research and Training (NCGRT)

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference75 articles.

1. Stochastic simulation of patterns using Bayesian pattern modeling;Abdollahifard;Comput. Geosci.,2013

2. An efficient maximum entropy approach for categorical variable prediction;Allard;Eur. J. Soil Sci.,2011

3. Conditional simulations with patterns;Arpat;Math. Geol.,2007

4. Botros , F. A. Hassan G. Pohll 2006 Copenhagen, Denmark

5. Multivariate block-support simulation of the Yandi iron ore deposit, Western Australia;Boucher;Math. Geosci.,2012

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