Groundwater characterization and monitoring at a complex industrial waste site using electrical resistivity imaging

Rockhold, Mark; Robinson, J.; Parajuli, Kshitij; Song, Xianfang; Zhang, Fred; Johnson, Timothy C.

doi:10.1007/s10040-020-02167-1

Cited by 10 publications

(6 citation statements)

References 52 publications

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“…Comprehensive mobile collection points should be located in isolation from residential buildings, children's and medical institutions, outside the parking places of transport in places where access roads can be arranged, on the basis of the development and coordination of predesign ones in accordance with the established procedure (permitting documentation, etc.) and design materials and in accordance with Sanitary rules and norms 2.2.1/2.1.1.1200-03 "Sanitary protection zones and sanitary classification of enterprises, structures and other facilities" [3][4][5][6][7][8][9][10][11][12].…”

Section: Resultsmentioning

confidence: 99%

Management of Electronic and Electrical Equipment Waste Collection in Municipalities

et al. 2021

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The article considers the justification of the possibility of organizing a waste management system of electronic and electrical equipment dangerous to human health and the environment and the subsequent use of secondary raw materials based on them. The current state of production sector of collection and disposal of waste of electronic and electrical equipment in the EU and Russia was analyzed. A scheme for the organization of a waste management system for electronic and electrical equipment, including the main methods of organization and stages of the cycle of collection and processing of waste in municipalities, forms of organization of work with the population, a formula for calculating the need for the number of necessary vehicles for mobile reception points, has been proposed. It was concluded that at present there is a real opportunity for the implementation in municipalities of a project to create an organization of a waste management system for electronic and electrical equipment, which does not require significant funds from the municipal budget.

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Section: Resultsmentioning

confidence: 99%

Management of Electronic and Electrical Equipment Waste Collection in Municipalities

et al. 2021

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“…Direct current electrical resistivity tomography (ERT) is one of the key geophysical methods for shallow-subsurface investigations, having applications in areas such as groundwater (Dahlin, 2001;Johnson et al, 2012;Meyerhoff et al, 2014;Park et al, 2016;Greggio et al, 2018;Alshehri and Abdelrahman, 2021), mineral exploration (Badmus and Olatinsu, 2009;Bery et al, 2012;Uhlemann et al, 2018;Martínez et al, 2019), environmental monitoring and remediation (Rosales et al, 2012;Rucker et al, 2013;Gabarrón et al, 2020;Rockhold et al, 2020;Kessouri et al, 2022), and engineering problems (Dahlin, 1996;Rizzo et al, 2004;Lysdahl et al, 2017). It can also be used for large-scale deepsubsurface investigations, e.g., for geothermal systems, active volcano imaging, and tectonic studies (Storz et al, 2000;Caputo et al, 2003;Johnson et al, 2010;Richards et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Massively parallel modeling and inversion of electrical resistivity tomography data using PFLOTRAN

Jaysaval

Hammond²,

Johnson³

2023

Geosci. Model Dev.

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Abstract. Electrical resistivity tomography (ERT) is a broadly accepted geophysical method for subsurface investigations. Interpretation of field ERT data usually requires the application of computationally intensive forward modeling and inversion algorithms. For large-scale ERT data, the efficiency of these algorithms depends on the robustness, accuracy, and scalability on high-performance computing resources. In this regard, we present a robust and highly scalable implementation of forward modeling and inversion algorithms for ERT data. The implementation is publicly available and developed within the framework of PFLOTRAN, an open-source, state-of-the-art massively parallel subsurface flow and transport simulation code. The forward modeling is based on a finite-volume discretization of the governing differential equations, and the inversion uses a Gauss–Newton optimization scheme. To evaluate the accuracy of the forward modeling, two examples are first presented by considering layered (1D) and 3D earth conductivity models. The computed numerical results show good agreement with the analytical solutions for the layered earth model and results from a well-established code for the 3D model. Inversion of ERT data, simulated for a 3D model, is then performed to demonstrate the inversion capability by recovering the conductivity of the model. To demonstrate the parallel performance of PFLOTRAN's ERT process model and inversion capabilities, large-scale scalability tests are performed by using up to 131 072 processes on a leadership class supercomputer. These tests are performed for the two most computationally intensive steps of the ERT inversion: forward modeling and Jacobian computation. For the forward modeling, we consider models with up to 122 ×106 degrees of freedom (DOFs) in the resulting system of linear equations and demonstrate that the code exhibits almost linear scalability on up to 10 000 DOFs per process. On the other hand, the code shows superlinear scalability for the Jacobian computation, mainly because all computations are fairly evenly distributed over each process with no parallel communication.

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“…Johnson and Wellman (2013) reinverted the surface ERT data, which was collected by Rucker and Fink (2007), considering the effect of metallic features of known location and dimension and significantly improved imaging resolution. Rockhold et al (2020) used a similar approach to monitor an industrial waste site and obtained significantly improved imaging results. Marinenko et al (2019) proposed numerical experiments to evaluate the potential impact of metal pipes located above and below the surface on ERT's ability to identify low-resistivity permafrost thawing zones around gas production wells.…”

Section: Introductionmentioning

confidence: 99%

“…Rockhold et al. (2020) used a similar approach to monitor an industrial waste site and obtained significantly improved imaging results. Marinenko et al.…”

Section: Introductionmentioning

confidence: 99%

“…Second, the iron wire mesh also significantly limits the depth of investigation since most currents are channelled through the wire mesh on the surface. Previous publications have demonstrated the enhanced resolution and sensitivity for deep exploration using underground electrodes that make measurements as close to the target as possible (Chambers et al., 2004; Kiflu et al., 2016; Power et al., 2015; Rockhold et al., 2020). In this study, we also employ underground electrodes and propose the combined surface and borehole array to offset the negative effect of current channelling in the wire mesh.…”

Section: Introductionmentioning

confidence: 99%

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Electrical resistivity tomography through reinforced concrete floor

Yang,

Yuan

2023

Near Surface Geophysics

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The electrical resistivity tomography (ERT) method is often challenged by the presence of reinforced concrete (RC) in urban and industrial environments, because the embedded metallic wire mesh can severely distort the distribution of subsurface currents. We investigate one typical scenario in real applications, in which an RC floor overlays the natural topsoil or rock. Our synthetic forward simulations show that the embedded wire mesh behaves like a local good conductor in data of small source‐receiver separations and acts like an equal‐potential object that keeps the potential from decaying at large source‐receiver separations. Routine ERT inversions that ignore the RC cannot work properly because the thin and highly conductive wire mesh may be manifested as large uninterpretable low‐resistivity anomalies in the imaging results. Two remedies are adopted to improve the ERT resolution in such cases. First, we find a top layer with high conductivity in our model to adequately represent the wire mesh; then, we initiate the inversion with the top‐layer model as the starting and reference model. This warm‐start approach overcomes the difficulty of recovering the large conductivity contrast between metallic objects and regular earth materials. Second, underground electrodes are added to the survey array, so more information from depth can be obtained to fight against the dominance of current channelling in the wire mesh. Finally, our strategies are used to invert a real ERT dataset from an indoor manufacturing plant, where RC covers the entire floor of the building and electrodes are in contact with the soil through open holes in the floor. Our simulation and field data inversion verify our findings and demonstrate the effectiveness of our solutions in improving the resolution of ERT when the survey is carried out over RC floor in urban and industrial environments.

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Groundwater characterization and monitoring at a complex industrial waste site using electrical resistivity imaging

Cited by 10 publications

References 52 publications

Management of Electronic and Electrical Equipment Waste Collection in Municipalities

Management of Electronic and Electrical Equipment Waste Collection in Municipalities

Massively parallel modeling and inversion of electrical resistivity tomography data using PFLOTRAN

Electrical resistivity tomography through reinforced concrete floor

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