2024
DOI: 10.1016/j.scitotenv.2024.171013
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Managing the remediation strategy of contaminated megasites using field-scale calibration of geo-electrical imaging with chemical monitoring

Léa Lévy,
Thue S. Bording,
Gianluca Fiandaca
et al.
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“…While many applications of geophysics focus on structural characterization using static geophysical data (Binley et al, 2015), time-lapse geophysics provides a promising avenue to characterize the spatial distribution and temporal evolution of transport and reaction processes (Hermans et al, 2023). So far, most of the field applications of time-lapse geophysics have focused on characterizing flow and transport processes: groundwatersurface water interaction (Slater et al, 2010), water absorption by roots (Jayawickreme et al, 2010;Mary et al, 2020), migration of methane plume (Steelman et al, 2017), migration of injected remediation agent at contaminated site (Flores Orozco et al, 2015;Lévy et al, 2024). Monitoring reactive processes with time-lapse geophysics remains challenging and a very limited number of field cases exist (see e.g., reviews by Binley et al (2015) and Hermans et al (2023)).…”
Section: Introductionmentioning
confidence: 99%
“…While many applications of geophysics focus on structural characterization using static geophysical data (Binley et al, 2015), time-lapse geophysics provides a promising avenue to characterize the spatial distribution and temporal evolution of transport and reaction processes (Hermans et al, 2023). So far, most of the field applications of time-lapse geophysics have focused on characterizing flow and transport processes: groundwatersurface water interaction (Slater et al, 2010), water absorption by roots (Jayawickreme et al, 2010;Mary et al, 2020), migration of methane plume (Steelman et al, 2017), migration of injected remediation agent at contaminated site (Flores Orozco et al, 2015;Lévy et al, 2024). Monitoring reactive processes with time-lapse geophysics remains challenging and a very limited number of field cases exist (see e.g., reviews by Binley et al (2015) and Hermans et al (2023)).…”
Section: Introductionmentioning
confidence: 99%