ERT Field Datasets from Wei et al. (2021), Joint Inversion of DC Resistivity Datasets with Multiple Electrode Arrays


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Created: Oct 12, 2021 at 5:35 a.m.
Last updated: Oct 21, 2021 at 4:19 p.m.
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Abstract

These data are described in Wei, Y., Shi, Z., Moorkamp, M., Wang C. and Huang M. (2021). Joint Inversion of DC Resistivity Datasets with Multiple Electrode Arrays

Hydrogeophysical approaches like electrical resistivity tomography (ERT) empower the ability to observe the transport and transformation of fluids in the highly heterogeneous subsurface and infer hydrological models but face discrepancy and uncertainty from data acquisition and geophysical inversion as well. Joint inversions would be preferred schemes to alleviate the ambiguity and construct a unified earth model. However, one of the challenges is how to properly incorporate the prior information into the joint inversion framework. Within the context of multiple single modality (electrical resistivity) datasets, there is always a plain and intrinsic parameter relationship to link the collocated resistivity models, i.e. identical subsurface geoelectric structure. Here, we present the intrinsic parameter relationship coupling under the compositional joint inversion frameworks and perform the intrinsic parameter relationship coupling to delineate the preferential seepage pathways on filed scenarios involving Wenner, Wenner-Schlumberger, and dipole-dipole datasets. It is observed that the null space arising from differences in data coverage, sensitivity, and SNR could mutually be resolved with partial model space improved in the intrinsic parameter relationship coupling scheme. Our research contributes to resolving the hydrogeological challenge of accurate resistivity estimates and distributions using multiple ERT datasets from different electrode configurations.

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Resource Level 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:
End Date:

Content

ReadMe.txt

Underlying data for the revised paper
 
Wei, Y., Shi, Z., Moorkamp, M., Wang C. and Huang M. (2021). Joint Inversion of DC Resistivity Datasets with Multiple Electrode Arrays

The 2D collinear resistivity measurements are operated on the flat levee crest and collected by dipole-dipole, Wenner-alpha, and Wenner-Schlumberger acquisition system with a total survey length of 177 m.
60 electrodes are deployed with the adjacent electrode spacing of 3 m.

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DC resistivity data are stored in three files in .dat format 
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configuration
spacing 
X	Y	ApparentRes	VoltageMeasured 	CurrentInjected	SourceElectrode A	SourceElectrode B	ReceiverElectrode M	ReceiverElectrodeN

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We can also provide .netcdf format data files for ERT inversions upon request

Related Resources

This resource is referenced by Wei, Y., Shi, Z., Moorkamp, M., Wang C. and Huang M. (2021). Joint Inversion of DC Resistivity Datasets with Multiple Electrode Arrays

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

How to Cite

Wei, Y., Z. Shi, M. Moorkamp (2021). ERT Field Datasets from Wei et al. (2021), Joint Inversion of DC Resistivity Datasets with Multiple Electrode Arrays, HydroShare, http://www.hydroshare.org/resource/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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