Supplemental data files for: Joint imaging of ERT datasets and its application in seepage characterization at Nanshan dam, southeast China


Authors:
Owners: Yunong Wei
Type: Resource
Storage: The size of this resource is 100.2 KB
Created: Oct 12, 2021 at 5:35 a.m.
Last updated: Nov 28, 2023 at 6:38 p.m. (Metadata update)
Published date: Nov 28, 2023 at 6:38 p.m.
DOI: 10.4211/hs.3ec89350233f42899b83650775fd1ad8
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

Hydrogeophysical techniques, such as electrical resistivity tomography (ERT), significantly enhance our ability to observe fluid transport and transformation within highly heterogeneous subsurface environments, as well as aid in inferring hydrological models. Despite their efficacy, these methods encounter discrepancies and uncertainties related to data acquisition and geophysical inversion. To address these issues, joint inversions emerge as preferred methodologies, aiming to reduce ambiguity and establish a unified earth model. A primary challenge in this approach is the effective integration of prior information into the joint inversion framework. Particularly in cases involving multiple datasets focused on a single physical property (e.g., electrical resistivity), there exists an inherent and intrinsic parameter relationship that links collocated resistivity models, suggesting a consistent subsurface geoelectric structure. Addressing this, we introduce the concept of intrinsic parameter relationship coupling within compositional joint inversion frameworks. This method is applied to field scenarios involving Wenner, Wenner-Schlumberger, and dipole-dipole datasets to delineate preferential seepage pathways. Our observations indicate that the intrinsic parameter relationship coupling scheme effectively resolves discrepancies in data coverage, sensitivity, and Signal-to-Noise Ratio (SNR). This research contributes to the field of hydrogeology by providing more accurate resistivity estimates and distributions, utilizing multiple ERT datasets derived from varied electrode configurations.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Luxi island
North Latitude
27.9996°
East Longitude
121.2441°
South Latitude
27.9648°
West Longitude
121.1689°

Temporal

Start Date: 08/12/2019
End Date: 08/13/2019
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Natural Science Foundation of China 41974115
Zhejiang Provincial Natural Science Foundation of China LY19D040001
National Natural Science Foundation of China 42274188

How to Cite

Wei, Y., Z. Shi, C. Wang, M. Huang (2023). Supplemental data files for: Joint imaging of ERT datasets and its application in seepage characterization at Nanshan dam, southeast China, HydroShare, https://doi.org/10.4211/hs.3ec89350233f42899b83650775fd1ad8

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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