Frequency domain electromagnetic induction imaging: an effective method to see inside a capped landfill

Gian Piero Deidda
First
;
2022-01-01

Abstract

The frequency-domain electromagnetic (FDEM) methods are a powerful tool for evaluating the impact caused on natural environments by anthropic facilities such as landfills. Noninvasive FDEM rapidly investigates large areas with no impact on the system. This is essential in case of capped landfills, as the impermeable liner represents a strong limitation for the use of all others direct and indirect investigation methods. This technique allows the propagation of the EM fields and collection of subsurface response below the liner thus representing the only effective solution both for static imaging and time-lapse monitoring of the processes that take place into the waste deposits. Traditionally, electromagnetic data are visualized as apparent electrical conductivity (ECa) maps that give practically no information about the variation of the conductivity with depth because ECa is only the equivalent conductivity of a homogeneous soil that would give the same measured response along depth. More recent approaches allow for an inversion of data thus providing clear information on the thickness of the investigated subsurface layers. The need for building a 3D electromagnetic model is crucial in the context of the urban waste landfill characterization, where leachate induces strong anomalies in electrical conductivity, which in turn causes a nonlinear model of the EMI response. A rigorous EMI inversion approach has been tested at a closed landfill in Southern Italy. The inverted model provided detailed information unattainable with other methods, by corroborating the assumption that electromagnetic measurements represent the best technique to characterize closed systems such as capped landfills.
2022
2022
Inglese
144
29
40
12
https://www.sciencedirect.com/science/article/pii/S0956053X22001349?via=ihub
Esperti anonimi
internazionale
scientifica
FDEM survey; EMI technique; Electromagnetic data inversion; Nonlinear response; Sensitivity function; Capped landfill
no
Deidda, GIAN PIERO; De Carlo, Lorenzo; Clementina Caputo, Maria; Cassiani, Giorgio
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
4
reserved
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