Hydrofacies simulation based on transition probability geostatistics using electrical resistivity tomography and borehole data-Reference-Cited by-同舟云学术

Hydrofacies simulation based on transition probability geostatistics using electrical resistivity tomography and borehole data

Published:2022-09-19 Issue:7 Volume:30 Page:2117-2134
ISSN:1431-2174
Container-title:Hydrogeology Journal
language:en
Short-container-title:Hydrogeol J

Author:

Ma Lei,Deng Hui,Yan Yongshuai,Deng Yaping,Zhao Weidong,Tan Xiaohui,Qian Jiazhong^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s10040-022-02539-9.pdf

Reference68 articles.

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2. Bania G (2018) ERT method in the study of chemical pollution of the hydrogeological environment: numerical analysis of 2D and 3D models. E3S Web of Conferences 66:01007. https://doi.org/10.1051/e3sconf/20186601007

3. Benoit S, Ghysels G, Gommers K, Hermans T, Nguyen F, Huysmans M (2019) Characterization of spatially variable riverbed hydraulic conductivity using electrical resistivity tomography and induced polarization. Hydrogeol J 27:395–407. https://doi.org/10.1007/s10040-018-1862-7

4. Bianchi M, Kearsey T, Kingdon A (2015) Integrating deterministic lithostratigraphic models in stochastic realizations of subsurface heterogeneity: impact on predictions of lithology, hydraulic heads and groundwater fluxes. J Hydrol 531:557–573. https://doi.org/10.1016/j.jhydrol.2015.10.072

5. Carle SF (1999) T-PROGS: transition probability geostatistical software (version 2.1). Hydrologic Sciences Graduate Group, University of California, Davis, CA

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