Transient Electromagnetic (TEM) Surveys as a First Approach for Characterizing a Regional Aquifer: The Case of the Saint-Narcisse Moraine, Quebec, Canada
Abstract:Geological contexts that lack minimal stratigraphic and piezometric information can be challenging to produce an initial hydrogeological map in remote territories. This study proposes an approach to characterize a regional aquifer using transient electromagnetic (TEM) surveys. Given the presence of randomly dispersed boreholes, the Saint-Narcisse moraine in the Mauricie region of Quebec (Canada) is an appropriate site for collecting the required geophysical data, correlating the stratigraphic and piezometric i… Show more
“…The GPR data were collected in a continuous recording mode with a real-time interpretation from MALÅ AI at two-way travel-time settings that varied between 50 and 200 ns. All radargrams were processed using the MALÅ Vision program, and mean velocity was assumed on the basis of the interpretation of the sedimentary facies described by Lévesque et al (2021) for this area of the Saint-Narcisse moraine, v = 0.065 m•ns − ¹ for saturated sand, and v = 0.1 m•ns − ¹ for unsaturated sand. In fact, Lévesque et al (2021) propose a stratigraphic calibration chart that links the sedimentary facies (i.e., clay, sand, sandgravel), the associated electrical resistivity, and water content of the Saint-Narcisse moraine in Eastern-Mauricie.…”
Section: Ground-penetrating Radar (Gpr)mentioning
confidence: 99%
“…All radargrams were processed using the MALÅ Vision program, and mean velocity was assumed on the basis of the interpretation of the sedimentary facies described by Lévesque et al (2021) for this area of the Saint-Narcisse moraine, v = 0.065 m•ns − ¹ for saturated sand, and v = 0.1 m•ns − ¹ for unsaturated sand. In fact, Lévesque et al (2021) propose a stratigraphic calibration chart that links the sedimentary facies (i.e., clay, sand, sandgravel), the associated electrical resistivity, and water content of the Saint-Narcisse moraine in Eastern-Mauricie. This chart, combined with the electrical resistivity values acquired using the TEM and the ERT, gives us a good overview of the type of sediment located on the subsurface.…”
Section: Ground-penetrating Radar (Gpr)mentioning
confidence: 99%
“…Furthermore, geophysical surveys can efficaciously investigate subsurface sediments and provide a non-invasive, inexpensive, and effective means of characterizing the internal dimensions of the aquifers and their stratigraphic variability. Geophysical techniques have proven their ability to improve the geological framework and hydrostratigraphic characterization of aquifers, including hydraulic properties, spatial extension, and flow paths (McClymont et al 2010;Marker et al 2015;Greggio et al 2018;Kalisperi et al 2018;Pondthai et al 2020;Lévesque et al 2021). Over the past decade, many studies have been conducted using geophysical data to improve the accuracy of numerical modeling by incorporating additional data.…”
Section: Introductionmentioning
confidence: 99%
“…The ERT and GPR methods can also provide accurate hydrogeophysical parametrization for flooding events (Huisman et al 2010) or capture heterogeneous soil properties and system states to assess and predict subsurface flow and contaminant transport (Kowalsky et al 2005). Finally, some authors simply convert geophysical properties to observed hydrologic properties (e.g., water content) through a petrophysical relationship (Hinnell et al 2010;Tran et al 2014;Lévesque et al 2021). Few of these studies apply multiple combined geophysical approaches to improve the accuracy of numerical modeling and, to the best of the authors' knowledge, water levels derived from multiple geophysical techniques have yet to be used to validate the reliability of a numerical hydrogeological model.…”
Section: Introductionmentioning
confidence: 99%
“…Few of these studies apply multiple combined geophysical approaches to improve the accuracy of numerical modeling and, to the best of the authors' knowledge, water levels derived from multiple geophysical techniques have yet to be used to validate the reliability of a numerical hydrogeological model. Lévesque et al (2021Lévesque et al ( , 2022 recently developed methods to locate the water table more accurately by improving the geophysical interpretation of regional stratigraphy and piezometric levels. These new methods represent an effective means of augmenting the amount of data available to validate the numerical model's performance.…”
The use of geophysical data to accurately determine water levels is demonstrated for an aquifer within the Saint-Narcisse moraine in the Mauricie region of southeastern Québec, Canada. Two numerical simulations were conducted using FEFLOW, one based on regional piezometric data and the other using geophysical data; the data were acquired through transient electromagnetic (TEM), electrical resistivity (ERT), and ground-penetrating radar (GPR) surveys. The threedimensional geological and groundwater flow model was based on data from 94 boreholes, 5 stratigraphic cross-sections, and 20 TEM, 6 ERT (~1.44 km) and 4 GPR (~0.97 km) surveys. Both numerical analyses confirmed the simulated water levels, and the root mean square errors obtained from the piezometric data and the multiple geophysical techniques were similar at 3.81 m and 2.76 m, respectively. Through a discrete modeling approach, this study shows that groundwater levels estimated using geophysical tools and methods and those determined by direct observation are comparable. The outcome illustrates how geophysical data can complement direct observations to provide additional hydraulic information to hydrologic modellers. Geophysical surveys provide an extensive set of soft data that can be leveraged to improve groundwater flow models and determine groundwater levels, particularly in areas characterized by limited direct piezometric information.
“…The GPR data were collected in a continuous recording mode with a real-time interpretation from MALÅ AI at two-way travel-time settings that varied between 50 and 200 ns. All radargrams were processed using the MALÅ Vision program, and mean velocity was assumed on the basis of the interpretation of the sedimentary facies described by Lévesque et al (2021) for this area of the Saint-Narcisse moraine, v = 0.065 m•ns − ¹ for saturated sand, and v = 0.1 m•ns − ¹ for unsaturated sand. In fact, Lévesque et al (2021) propose a stratigraphic calibration chart that links the sedimentary facies (i.e., clay, sand, sandgravel), the associated electrical resistivity, and water content of the Saint-Narcisse moraine in Eastern-Mauricie.…”
Section: Ground-penetrating Radar (Gpr)mentioning
confidence: 99%
“…All radargrams were processed using the MALÅ Vision program, and mean velocity was assumed on the basis of the interpretation of the sedimentary facies described by Lévesque et al (2021) for this area of the Saint-Narcisse moraine, v = 0.065 m•ns − ¹ for saturated sand, and v = 0.1 m•ns − ¹ for unsaturated sand. In fact, Lévesque et al (2021) propose a stratigraphic calibration chart that links the sedimentary facies (i.e., clay, sand, sandgravel), the associated electrical resistivity, and water content of the Saint-Narcisse moraine in Eastern-Mauricie. This chart, combined with the electrical resistivity values acquired using the TEM and the ERT, gives us a good overview of the type of sediment located on the subsurface.…”
Section: Ground-penetrating Radar (Gpr)mentioning
confidence: 99%
“…Furthermore, geophysical surveys can efficaciously investigate subsurface sediments and provide a non-invasive, inexpensive, and effective means of characterizing the internal dimensions of the aquifers and their stratigraphic variability. Geophysical techniques have proven their ability to improve the geological framework and hydrostratigraphic characterization of aquifers, including hydraulic properties, spatial extension, and flow paths (McClymont et al 2010;Marker et al 2015;Greggio et al 2018;Kalisperi et al 2018;Pondthai et al 2020;Lévesque et al 2021). Over the past decade, many studies have been conducted using geophysical data to improve the accuracy of numerical modeling by incorporating additional data.…”
Section: Introductionmentioning
confidence: 99%
“…The ERT and GPR methods can also provide accurate hydrogeophysical parametrization for flooding events (Huisman et al 2010) or capture heterogeneous soil properties and system states to assess and predict subsurface flow and contaminant transport (Kowalsky et al 2005). Finally, some authors simply convert geophysical properties to observed hydrologic properties (e.g., water content) through a petrophysical relationship (Hinnell et al 2010;Tran et al 2014;Lévesque et al 2021). Few of these studies apply multiple combined geophysical approaches to improve the accuracy of numerical modeling and, to the best of the authors' knowledge, water levels derived from multiple geophysical techniques have yet to be used to validate the reliability of a numerical hydrogeological model.…”
Section: Introductionmentioning
confidence: 99%
“…Few of these studies apply multiple combined geophysical approaches to improve the accuracy of numerical modeling and, to the best of the authors' knowledge, water levels derived from multiple geophysical techniques have yet to be used to validate the reliability of a numerical hydrogeological model. Lévesque et al (2021Lévesque et al ( , 2022 recently developed methods to locate the water table more accurately by improving the geophysical interpretation of regional stratigraphy and piezometric levels. These new methods represent an effective means of augmenting the amount of data available to validate the numerical model's performance.…”
The use of geophysical data to accurately determine water levels is demonstrated for an aquifer within the Saint-Narcisse moraine in the Mauricie region of southeastern Québec, Canada. Two numerical simulations were conducted using FEFLOW, one based on regional piezometric data and the other using geophysical data; the data were acquired through transient electromagnetic (TEM), electrical resistivity (ERT), and ground-penetrating radar (GPR) surveys. The threedimensional geological and groundwater flow model was based on data from 94 boreholes, 5 stratigraphic cross-sections, and 20 TEM, 6 ERT (~1.44 km) and 4 GPR (~0.97 km) surveys. Both numerical analyses confirmed the simulated water levels, and the root mean square errors obtained from the piezometric data and the multiple geophysical techniques were similar at 3.81 m and 2.76 m, respectively. Through a discrete modeling approach, this study shows that groundwater levels estimated using geophysical tools and methods and those determined by direct observation are comparable. The outcome illustrates how geophysical data can complement direct observations to provide additional hydraulic information to hydrologic modellers. Geophysical surveys provide an extensive set of soft data that can be leveraged to improve groundwater flow models and determine groundwater levels, particularly in areas characterized by limited direct piezometric information.
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