Preprints
https://doi.org/10.5194/egusphere-2023-1428
https://doi.org/10.5194/egusphere-2023-1428
11 Aug 2023
 | 11 Aug 2023

Quantifying the migration rate of drainage divides from high-resolution topographic data

Chao Zhou, Xibin Tan, Yiduo Liu, and Feng Shi

Abstract. The lateral movement of drainage divides is co-influenced by tectonics, lithology, and climate, and therefore archives a wealth of geologic and climatic information. Several methods have been proposed to determine the direction of drainage-divide migration. However, how to quantify the migration rate of drainage divides remains challenging. Here, we propose a new approach to calculate the migration rate of drainage divides from high-resolution topographic data. The new method is based on the cross-divide comparison of channel-head parameters, including the critical upstream drainage area and the gradient of channel head, both of which are used to calculate the normalized channel steepness at the channel head. We then apply the new method to an active rift shoulder (Wutai Shan), and a tectonically stable area (a mountain range in the Loess Plateau) in North China, to illustrate the calculation of drainage-divide migration rates. The northward migration rates at the Wutai Shan range from 0.10 to 0.13 mm/yr. The migration rates are approximately zero at the mountain range in the Loess Plateau. This study demonstrates that the migration rate of drainage divides can be determined more accurately once the cross-divide differences in uplift rate are taken into account.

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Journal article(s) based on this preprint

07 Mar 2024
Quantifying the migration rate of drainage divides from high-resolution topographic data
Chao Zhou, Xibin Tan, Yiduo Liu, and Feng Shi
Earth Surf. Dynam., 12, 433–448, https://doi.org/10.5194/esurf-12-433-2024,https://doi.org/10.5194/esurf-12-433-2024, 2024
Short summary
Chao Zhou, Xibin Tan, Yiduo Liu, and Feng Shi

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1428', Thomas Bernard, 18 Sep 2023
  • RC2: 'Comment on egusphere-2023-1428', Anonymous Referee #2, 19 Oct 2023
  • AC1: 'Comment on egusphere-2023-1428', Xibin Tan, 24 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-2023-1428', Thomas Bernard, 18 Sep 2023
  • RC2: 'Comment on egusphere-2023-1428', Anonymous Referee #2, 19 Oct 2023
  • AC1: 'Comment on egusphere-2023-1428', Xibin Tan, 24 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Xibin Tan on behalf of the Authors (01 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (19 Dec 2023) by Simon Mudd
AR by Xibin Tan on behalf of the Authors (30 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jan 2024) by Simon Mudd
ED: Publish as is (24 Jan 2024) by Andreas Lang (Editor)
AR by Xibin Tan on behalf of the Authors (27 Jan 2024)  Manuscript 

Journal article(s) based on this preprint

07 Mar 2024
Quantifying the migration rate of drainage divides from high-resolution topographic data
Chao Zhou, Xibin Tan, Yiduo Liu, and Feng Shi
Earth Surf. Dynam., 12, 433–448, https://doi.org/10.5194/esurf-12-433-2024,https://doi.org/10.5194/esurf-12-433-2024, 2024
Short summary
Chao Zhou, Xibin Tan, Yiduo Liu, and Feng Shi
Chao Zhou, Xibin Tan, Yiduo Liu, and Feng Shi

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Short summary
The drainage divide stability provides new insights into both the river network evolution and the tectonic and/or climatic changes. Several methods have been proposed to determine the direction of drainage-divide migration. However, how to quantify the migration rate of drainage divides remains challenging. In this paper, we propose a new method to calculate the migration rate of drainage divides from high-resolution topographic data.