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Electrokinetic geophysics for groundwater assessment and complex near-surface characterization

天坑 地质学 地球物理学 电动现象 地下水 表面波 探地雷达 电磁学 喀斯特 计算机科学 岩土工程 物理 材料科学 雷达 古生物学 电信 工程物理 纳米技术
作者
Niels Grobbe,Sjoerd de Ridder,Stéphanie Barde-Cabusson,Tonian Robinson,Sajad Jazayeri,Sarah Kruse,Zongbo Xu,L. T. Otheim,T. Dylan Mikesell
标识
DOI:10.1190/iceg2019-023.1
摘要

We present and discuss two electrokinetic geophysical methods and their value for groundwater assessment and complex near-surface characterization: self-potential (SP), and coupled seismo-electromagnetics (seismoelectrics). The scope of this work can be broadly divided into two parts: we present and discuss the results of a self-potential study carried out in a Karst environment in Tampa, Florida, we present a novel seismoelectric (SE) methodology that uses surface wave signals, thereby mitigating the major present-day practical limitation for the seismo-electric method: the relatively low converted signal strengths. For the SP campaign, we collected 555 data points. After reference and closure corrections, a map of the study site displaying SP anomalies was produced. We compare the map with an SP profile along a known sinkhole in the study area, and can clearly observe a strong, negative SP anomaly that is most likely related to preferential downward infiltration/flow of groundwater at the location of the sinkhole. The novel concept for seismoelectric signals makes use of surface waves, as compared to the relatively weak seismoelectric body wave responses (in particular the so-called interface response fields) that traditionally have been used for seismo-electric lateral and depth characterization. We show that we can identify information at depth about, for instance, subsur-face contrasts in the SE coupling coefficient (or other porous medium parameters of interest), using the novel approach of Dispersive Relative Spectral Amplitudes (DRSA). Building on the established successes of seismic surface wave studies, this novel methodology has the potential to change the way we think about seismoelectric data acquisition and applications.

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