JACIII Vol.27 No.1 pp. 12-18
doi: 10.20965/jaciii.2023.p0012

Research Paper:

Digital Twin Concept Utilizing Electrical Resistivity Tomography for Monitoring Seawater Intrusion

Joseph Aristotle R. De Leon*,†, Ronnie S. Concepcion II*,***, Robert Kerwin C. Billones*,***, Jonah Jahara G. Baun**, Jose Miguel F. Custodio*, Ryan Rhay P. Vicerra*,***, Argel A. Bandala**,***, and Elmer P. Dadios*,***

*Department of Manufacturing Engineering and Management, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

**Department of Electronics and Computer Engineering, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

***Center for Engineering and Sustainable Development Research, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

Corresponding author

April 4, 2022
June 2, 2022
January 20, 2023
digital twin, electrical resistivity tomography, process modeling, seawater intrusion

Electrical resistivity tomography (ERT) has been seen as an appropriate instrument in several works to monitor and aid in the control of seawater intrusion (SWI) in coastal groundwater systems. This study seeks to discuss the synthesis of a digital twin that couples information between the physical space through ERT as a monitoring sensor and the digital space using SWI simulations to accurately model the behavior of SWI in the present and future settings. To showcase the concept, a Python-based simulation was presented that shows (a) the joint forward modeling-simulation scheme for calculating expected ERT apparent resistivity values from simulated SWI and (b) the calibration of the digital coastal aquifer system through genetic algorithm to accurately match the outputs of the SWI simulations with the ERT measurements.

Digital twin concept for SWI monitoring

Digital twin concept for SWI monitoring

Cite this article as:
J. Leon, R. Concepcion II, R. Billones, J. Baun, J. Custodio, R. Vicerra, A. Bandala, and E. Dadios, “Digital Twin Concept Utilizing Electrical Resistivity Tomography for Monitoring Seawater Intrusion,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.1, pp. 12-18, 2023.
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