Estimating porosity distribution of a heterogeneous alluvial aquifer by GPU-accelerated 3D conditional stochastic inversion of common-offset GPR reflection data-Reference-Cited by-同舟云学术

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Estimating porosity distribution of a heterogeneous alluvial aquifer by GPU-accelerated 3D conditional stochastic inversion of common-offset GPR reflection data

Published:2023-02 Issue: Volume:617 Page:128883
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Xu Zhiwei,Zhu Peimin,Liu Yu,Guo Shili,Liao Zhiying

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference84 articles.

1. GPR Methods for Hydrogeological Studies in Hydrogeophysics;Annan,2005

2. Reflection waveform inversion of ground-penetrating radar data for characterizing thin and ultrathin layers of nonaqueous phase liquid contaminants in stratified media;Babcock;Geophysics,2015

3. Hierarchical geostatistics and multifacies systems: Boise Hydrogeophysical Research Site;Barrash;Boise. Idaho. Water Resour. Res.,2002

4. Significance of porosity for stratigraphy and textural composition in subsurface, coarse fluvial deposits: Boise Hydrogeophysical Research Site;Barrash;Geol. Soc. Am. Bull.,2004

5. Three-dimensional transient hydraulic tomography in a highly heterogeneous glaciofluvial aquifer-aquitard system;Berg;Water Resour. Res.,2011

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