EGU26-18298, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-18298
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Data-driven conceptualisation of the complex multilayered coastal aquifer system underlying Lagos megacity, Nigeria: Integrating borehole geophysics and machine learning
1- 1University of Aberdeen, School of Geosciences, Aberdeen, Scotland, United Kingdom (oluwaseun.folabode@gmail.com, jc.comte@abdn.ac.uk)
- 2Macau University of Science and Technology, State Key Laboratory of Lunar and Planetary Sciences (igiannakis@must.edu.mo)
How to cite: Olabode, O., Giannakis, I., and Comte, J.-C.: Data-driven conceptualisation of the complex multilayered coastal aquifer system underlying Lagos megacity, Nigeria: Integrating borehole geophysics and machine learning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18298, https://doi.org/10.5194/egusphere-egu26-18298, 2026.