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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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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.
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. ================================================== DC resistivity data are stored in three files in .dat format ================================================== configuration spacing X Y ApparentRes VoltageMeasured CurrentInjected SourceElectrode A SourceElectrode B ReceiverElectrode M ReceiverElectrodeN ================================================== We can also provide .netcdf format data files for ERT inversions upon request
|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|
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|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/