Preprints
https://doi.org/10.5194/egusphere-2023-2166
https://doi.org/10.5194/egusphere-2023-2166
05 Oct 2023
 | 05 Oct 2023

Modeling of terrain effect in magnetotelluric data from Garhwal Himalaya Region

Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat

Abstract. The magnetotelluric method (MT) is one of the most effective geophysical techniques for studying the deep structure of the Earth's crust, particularly in steep terrain like the Garhwal Himalaya region. The MT responses are distorted as a result of the undulated/rugged terrain. Such responses, if not corrected, can lead to a misinterpretation of MT data for the geoelectrical structures. In this research paper, two different correction procedures were used to compute the topography distortion for the synthetic model of Garhwal Himalaya region from Roorkee to Gangotri section. A finite difference algorithm was used to compute MT responses (apparent resistivity and phase) for the irregular terrain. The accuracy of the terrain correction procedures was checked on results published in the literature on different topography models at various periods. The relative errors between flat earth response (FER) and two terrain correction procedures (TCR1 and TCR2) were calculated and were very less or almost zero for most of the sites along the Roorkee to Gangotri profile except at the foothill where the error was high at lower periods. The similar topography response, terrain corrected responses TCR1 and TCR2 responses concluded that there is no need for topography correction along Roorkee-Gangotri Profile because the slope angle is less than one degree.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.

Journal article(s) based on this preprint

28 Mar 2024
Modelling of the terrain effect in magnetotelluric data from the Garhwal Himalaya region
Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat
Nonlin. Processes Geophys., 31, 175–184, https://doi.org/10.5194/npg-31-175-2024,https://doi.org/10.5194/npg-31-175-2024, 2024
Short summary
Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2166', Anonymous Referee #1, 19 Oct 2023
  • RC2: 'Comment on egusphere-2023-2166', linjiang QIN, 27 Nov 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2166', Anonymous Referee #1, 19 Oct 2023
  • RC2: 'Comment on egusphere-2023-2166', linjiang QIN, 27 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Suman Saini on behalf of the Authors (09 Dec 2023)
EF by Svenja Lange (15 Dec 2023)
ED: Referee Nomination & Report Request started (18 Dec 2023) by Luciano Telesca
RR by linjiang QIN (23 Jan 2024)
EF by Svenja Lange (22 Dec 2023)
EF by Vitaly Muravyev (06 Feb 2024)  Author's response   Author's tracked changes 
EF by Vitaly Muravyev (12 Feb 2024)  Manuscript 
ED: Publish as is (12 Feb 2024) by Luciano Telesca
AR by Suman Saini on behalf of the Authors (15 Feb 2024)  Author's response   Manuscript 

Journal article(s) based on this preprint

28 Mar 2024
Modelling of the terrain effect in magnetotelluric data from the Garhwal Himalaya region
Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat
Nonlin. Processes Geophys., 31, 175–184, https://doi.org/10.5194/npg-31-175-2024,https://doi.org/10.5194/npg-31-175-2024, 2024
Short summary
Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat
Suman Saini, Deepak Kumar Tyagi, Sushil Kumar, and Rajeev Sehrawat

Viewed

Total article views: 264 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
187 60 17 264 10 12
  • HTML: 187
  • PDF: 60
  • XML: 17
  • Total: 264
  • BibTeX: 10
  • EndNote: 12
Views and downloads (calculated since 05 Oct 2023)
Cumulative views and downloads (calculated since 05 Oct 2023)

Viewed (geographical distribution)

Total article views: 258 (including HTML, PDF, and XML) Thereof 258 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Sep 2024
Download

The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
The effect of topography in the MT data along a synthetic model of Roorkee-Gangotri profile.The two correction procedures were used to remove the topography distotion from MT data. The FER, TCR1 and TCR2 in Fig. 3 shows that the both correction procedures are capable to remove the topography effect. The similar TR, TCR1and TCR2 responses are no need for topography correction along Roorkee-Gangotri Profile, because the slope angle is less than one degree.