Abstract
Globally, earth embankments are used to protect against flooding. Raised above the surrounding water table, these embankments make ideal habitats for many burrowing animals whose burrows can impact their structural integrity. Ground Penetrating Radar (GPR) is commonly used to identify and map animal burrows and other small cavities. However, the depth of investigation of a GPR survey can be severely limited in saline and clay-rich environments, soil properties commonly associated with flood embankments. In contrast, Electrical Resistivity Tomography (ERT) can image subsurface voids in conductive ground conditions but has been rarely used to image animal burrows. Here we aim to assess the efficacy of ERT and GPR to image two badger burrow networks, called ‘setts’, located in clay embankments on the River Ouse, Yorkshire, UK. The two setts were excavated to validate the geophysical results, and the soil was characterised through logging and geotechnical analysis to develop a ground model of the site. We find that ERT can accurately resolve tunnels down to 1.5 m depth, map the structure of a multi-entrance badger sett and successfully identify the end of the tunnels. This result compares favourably to the GPR surveys, which mapped all but the deepest tunnels, limited by its penetration depth due to clay soils. Our results show that ERT can be used as a primary survey tool for animal burrows in clay-rich environments and can be validated using co-located GPR surveys if penetration depth is sufficient. The implications of this study may allow embankment managers to map burrow networks, assess flood embankment stability, minimise repair costs, and reduce unexpected failures during flood events. Additionally, a better understanding of how, for example, local heterogeneities impact badgers’ burrow geometry may be achievable using these geophysical methods, as they provide a non-destructive, repeatable method for imaging setts.
Original language | English |
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Article number | 107198 |
Journal | Engineering Geology |
Volume | 323 |
Early online date | 29 May 2023 |
DOIs | |
Publication status | Published - 20 Sept 2023 |
Bibliographical note
Funding Information:We would like to acknowledge John Ball for his help with the geophysical field surveys, and Oliver Kuras for guidance in presenting the work. We would also like to thank Dan Normandale, Kim Ryan and Mathew Arthur from the Environment Agency for providing the field sites and providing valuable feedback on the manuscript. This work was partly funded by a NERC GW4+ UK Doctoral Training Partnership Studentship (Grant NE/L002434/1), the BGS University Funding Initiative (S337), and the ACHILLES project (EP/R034575/1). Adrian White, Paul Wilkinson, Jonathan Chambers, and James Boyd publish with the permission of the Executive Director, British Geological Survey (UKRI-NERC). All content generated as part of this work is copyright of the British Geological Survey © UKRI 2022 / The University of Bristol 2022. The authors are grateful to the editor and two anonymous reviewers for their comments and feedback.
Funding Information:
We would like to acknowledge John Ball for his help with the geophysical field surveys, and Oliver Kuras for guidance in presenting the work. We would also like to thank Dan Normandale, Kim Ryan and Mathew Arthur from the Environment Agency for providing the field sites and providing valuable feedback on the manuscript. This work was partly funded by a NERC GW4+ UK Doctoral Training Partnership Studentship (Grant NE/L002434/1), the BGS University Funding Initiative (S337), and the ACHILLES project (EP/R034575/1). Adrian White, Paul Wilkinson, Jonathan Chambers, and James Boyd publish with the permission of the Executive Director, British Geological Survey (UKRI-NERC). All content generated as part of this work is copyright of the British Geological Survey © UKRI 2022 / The University of Bristol 2022. The authors are grateful to the editor and two anonymous reviewers for their comments and feedback.
Publisher Copyright:
© 2023 British Geological Survey (C) UKRI 2023 & (C) 2023 University of Bristol
Keywords
- Electrical Resistivity Tomography
- Ground Penetrating Radar
- Meles meles
- burrow
- levee
- flood embankment