Predicting Hydraulic Conductivity of Rock Masses using Machine Learning and Hydro-Jacking Tests &ndash; A Case Study of Mohmand Dam

Zargham Zarrar; Zulfiqar Ali; Zohair Vaseer; Sajid Saeed; Irfan Khan

doi:https://doi.org/10.5194/egusphere-egu26-11794

[Back] [Session ERE5.7]

EGU26-11794, updated on 14 Mar 2026

https://doi.org/10.5194/egusphere-egu26-11794

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Predicting Hydraulic Conductivity of Rock Masses using Machine Learning and Hydro-Jacking Tests – A Case Study of Mohmand Dam

Zargham Zarrar¹, Zulfiqar Ali^1,2, Zohair Vaseer¹, Sajid Saeed¹, and Irfan Khan¹

Zargham Zarrar et al.

¹Military College of Engineering, Transportation and Geotechnical Engineering, National University of Sciences and Technology, Islamabad, Pakistan (zrbzarrar.be98mce@student.nust.edu.pk)
²Mining and Petroleum Engineering, Adelaide University, Adelaide, Australia (zali@mce.nust.edu.pk)

How to cite: Zarrar, Z., Ali, Z., Vaseer, Z., Saeed, S., and Khan, I.: Predicting Hydraulic Conductivity of Rock Masses using Machine Learning and Hydro-Jacking Tests – A Case Study of Mohmand Dam, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11794, https://doi.org/10.5194/egusphere-egu26-11794, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.