Characterize Basin-Scale Subsurface Using Rocket-Triggered Lightning
Name:
Characterize_Basin‐Scale_Subsu ...
Size:
1.773Mb
Format:
PDF
Description:
Final Published Version
Affiliation
Department of Hydrology and Atmospheric Sciences, The University of ArizonaIssue Date
2022-12-02
Metadata
Show full item recordPublisher
John Wiley and Sons IncCitation
Wang, Y.-L., Yeh, T.-C. J., Liu, F., Wen, J.-C., Wang, W., & Hao, Y. (2022). Characterize Basin-Scale Subsurface Using Rocket-Triggered Lightning. Geophysical Research Letters, 49(23).Journal
Geophysical Research LettersRights
© 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This paper exploits triggered lightning as a point source for the basin-scale electromagnetic tomographic survey to image 3-D subsurface electrical properties in basins. This paper further develops a new temporal moment approach, overcoming the difficulties in forward and inverse modeling of 3-D Maxwell’s equations with heterogeneous parameter fields. Using this approach, we find that the influence of a single triggered lightning strike covers a radius of 20–70 km with detectable signals. The cross-correlation analysis between the moment difference of the electric and electric/magnetic property field indicates that the approach is suitable for mapping subsurface electric conductivity ((Formula presented.)) heterogeneity. A numerical experiment with 3-D spatially random parameter fields demonstrates that the method captures the spatial distribution of electric conductivity over large areas with a sparse monitoring network. It reveals the potential of using triggered lightning as a basin-scale electric/magnetic tomography survey. © 2022. The Authors.Note
Open access articleISSN
0094-8276Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1029/2022GL101278
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.

