Surface–subsurface characterization via interfaced geophysical–geotechnical and optimized regression modeling
Author:
Funder
Ministry of Higher Education, Malaysia
Institute of Postgraduate Studies, Universiti Sains Malaysia
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40808-024-02054-8.pdf
Reference55 articles.
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2. Akingboye AS, Bery AA, Kayode JS, Ogunyele AC, Adeola AO, Omojola OO, Adesida AS (2023) Groundwater-yielding capacity water–rock interaction and vulnerability assessment of typical gneissic hydrogeologic units using geoelectrohydraulic method. Acta Geophys 71:697–721. https://doi.org/10.1007/s11600-022-00930-4
3. Akingboye AS (2024) Geophysical research on the interplays between soil–rock variability and hydrogeological structures: a case study. Quart J Eng Geol Hydrogeol 57(1). https://doi.org/10.1144/qjegh2023-100
4. Akingboye AS, Bery AA (2023) Rock mass quality evaluation via statistically optimized geophysical datasets. Bull Eng Geol Env 82:376. https://doi.org/10.1007/s10064-023-03380-4
5. Akingboye AS, Bery AA (2023) Development of novel velocity–resistivity relationships for granitic terrains based on complex collocated geotomographic modeling and supervised statistical analysis. Acta Geophys 71:2675–2698. https://doi.org/10.1007/s11600-023-01049-w
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