Using shallow subsurface geophysical models to guide restoration of old agricultural fields in northwestern Ohio

Doro, Kennedy O.; Kolapkar, Amar M.; Becker, Anna Maria

doi:10.1190/segam2021-3576450.1

Cited by 6 publications

(3 citation statements)

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“…Geophysical methods have been widely used to characterize soil and aquifer properties and monitor hydrological and biogeochemical processes [17], [18], [19], [20]. Some studies have applied electrical resistivity, induced polarization, and ground-penetrating radar to characterize wetland soil properties [3], [21], [22]. However, none has been reported on exploring the natural electric potential gradient termed self-potential in wetlands to characterize them.…”

Section: Introductionmentioning

confidence: 99%

Combined self-potential and electromagnetic imaging provides insights into the spatial variation of wetland soil hydro-biogeochemical properties

Doro,

Kolapkar,

Emmanuel

2024

Preprint

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This study assesses the innovative use of self-potential (SP) combined with electromagnetic imaging and direct soil properties measurements for characterizing the distribution of wetland soil organic matter (SOM), soil moisture content (SMC), and redox potential (EH). SP distributions were measured using a high-impedance multimeter, Cu-CuSO4 non-polarizing electrodes, and a fixed reference electrode approach at two wetlands in northwest Ohio. The SP data were compared with laboratory measurements of SMC and SOM on 16 soil samples and 95 direct field measurements of EH and SMC. Soil apparent electrical conductivity (ECa) and magnetic susceptibility (MSa) were also acquired along co-located transects with the SP to assess the source strength of the SP and to aid the interpretation of the SP signals. Results of this study show variation in SP magnitude of up to 45 mV over 400 m in the wetlands. Negative SP anomalies were observed around areas with drainage tiles with preferential infiltration. The measured SP correlates with SOM, SMC, and EH, with R2 values of 0.67, 0.51, and 0.74. A combination of SP signals with soil electrical conductivity produced current density cross-sections, which provided information on the depth and intensity of the source charges generating the SP signals. Regions with high ECa and low SP signals show corresponding low MSa interpreted as anaerobic reducing zones. These results show the existence of natural potential gradients within wetland soils related to electrokinetic and electrochemical effects and validate SP as a useful complementary technique for characterizing wetland soils and monitoring their biogeochemical functioning.

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Section: Introductionmentioning

confidence: 99%

Combined self-potential and electromagnetic imaging provides insights into the spatial variation of wetland soil hydro-biogeochemical properties

Doro,

Kolapkar,

Emmanuel

2024

Preprint

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“…The threat of crude oil contamination to human health has resulted in multiple lawsuits, crises, and bloodshed (Bodo, 2019). The most recent historic verdict in favor of four farmers and environmental activists declared Shell Company accountable for the oil spill in Ibibio land, with an unknown amount to be paid to the farmers (Doro et al, 2021). The National Oil Spill Detection and Response Agency (NOSDRA) estimated in 2021 that over 92 percent of crude oil-contaminated sites remained unremediated, with minimal scheduled cleanup.…”

Section: Introductionmentioning

confidence: 99%

Soil and groundwater contamination by crude oil spillage: A review and implications for remediation projects in Nigeria

Adeniran

Oladunjoye

Doro

2023

Front. Environ. Sci.

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Management of soil and groundwater resources has been recognized as essential to meeting the sustainable development goals of Agenda 2063 of the African Union. As Africa’s fastest growing population with over 200 million people, Nigeria is responsible for leading the continent’s environmental sustainability goal. Nigeria has seen a sizable number of crude oil spillages that have contaminated its soils and groundwater resources, and several of these contaminated sites are to be cleaned up yet. There needs to be more scientific data to design an effective cleanup and to manage the soil and groundwater resources effectively. So far, the only extensive crude oil-contaminated site remediation project documented is on Ogoniland in the Niger Delta region of Nigeria. However, this project resulted in less effective, albeit temporary, cleanup solutions. This review presents a state-of-the-art synthesis of research on soil and groundwater contamination by crude oil. It includes sections on processes, measurements, predictions, and management, as well as an analysis of the state and challenges in Nigeria. In-depth field, laboratory, and computer models for crude oil contamination investigation have been developed with over 60 years of significant research. However, studies and case projects in Nigeria have relied on point sampling to determine the concentration of crude oil contaminants in soil and groundwater. This method offers limited information on the solute concentration and hydraulic distribution, which regulates pollutant mobility within the subsurface. The absence of baseline and high-resolution subsurface characterization data has also resulted in a need for more process-based knowledge to direct the development of site-specific remediation strategies. As a result, it is challenging to design a conceptual model that is detailed enough to help with predictions of the flow dynamics of crude oil contaminants in the unsaturated and saturated zones. It is anticipated that this review will stimulate further multidisciplinary research through site evaluation and monitoring to provide reliable information that can be used to develop appropriate model-based remediation solutions.

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“…Also, intensively collecting soil samples at wetlands is particularly challenging due to their complex terrain, seasonal inundation, and the need to minimize disturbances at these sites. Hence, wetland soil property estimation will bene t from the use of proximal and remote sensing techniques using geophysical and or remote sensing methods (Casa et al, 2013;Doro et al, 2021;Ge et al, 2011;Romero-Ruiz et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples

et al. 2023

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Electromagnetic imaging (EMI) provides an e cient approach for characterizing variations in soil physicochemical properties at a high spatial resolution. While EMI has been widely used to estimate variations in soil properties in agricultural, geotechnical, and contaminated sites, limited applications have been reported for wetlands. This study assesses the use of EMI for estimating soil property distributions at a restored wetland in northwestern Ohio, USA. We acquired spatial distribution of soil apparent electrical conductivity (ECa) and apparent magnetic susceptibility (MSa) via EMI over a 162,000 m 2 restored wetland using an EM-38-MK2 instrument towed behind a utility terrain vehicle equipped with a differential ground positioning system. We collected twenty-two undisturbed soil samples and analyzed them in the laboratory for soil moisture (SMC), organic matter (SOM), porosity, bulk density, and texture. A least squares linear regression model was used to compare the correlation between each soil property with measured ECa and MSa while ECa was used to predict the distribution of SMC and SOM using the statistical model validated using the leave-one-out technique. We observed strong correlations between soil texture, SMC, and SOM, and ECa with SOM showing a slightly dominant control. This study shows that ECa can predict the distribution of SMC and SOM in wetland soils to an accuracy of ~ 67-70% for these datasets. The spatial ECa patterns matched the USDA soil map for the site. This study validates the potential of extending EMI for characterizing wetland soil properties, improving sampling plans, and extrapolating soil property estimates to unsampled regions.

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Using shallow subsurface geophysical models to guide restoration of old agricultural fields in northwestern Ohio

Cited by 6 publications

References 5 publications

Combined self-potential and electromagnetic imaging provides insights into the spatial variation of wetland soil hydro-biogeochemical properties

Combined self-potential and electromagnetic imaging provides insights into the spatial variation of wetland soil hydro-biogeochemical properties

Soil and groundwater contamination by crude oil spillage: A review and implications for remediation projects in Nigeria

Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples

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