ID:
publications-5164
Type:
Article
Year:
2023
Authors:
De Leon J.A.R.; Concepcion R.S., II; Billones R.K.C.; Baun J.J.G.; Custodio J.M.F.; Vicerra R.R.P.; Bandala A.A.; Dadios E.P.
Title:
Digital Twin Concept Utilizing Electrical Resistivity Tomography for Monitoring Seawater Intrusion
Venue/Journal:
Journal of Advanced Computational Intelligence and Intelligent Informatics
DOI:
10.20965/jaciii.2023.p0012
Research type:
Water System:
Technical Focus:
Abstract:
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. Β© Fuji Technology Press Ltd.
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