Comparative analysis of slope stability factors and a hydrological dataset for landslide assessment

Youngseok Song (), Wooyoung Na (), Changhyun Jun () and Sang Yeob Kim ()
Additional contact information
Youngseok Song: Konkuk University
Wooyoung Na: Dong-A University
Changhyun Jun: Korea University
Sang Yeob Kim: Konkuk University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 4, No 11, 3996 pages

Abstract: Abstract In slope stability analysis, infinite slope stability has been widely assessed using field data; however, recently, remote sensing techniques have been developed to determine the probability of slope failure. This study aims to verify the suitability of a hydrological dataset for accurate slope stability analysis by comparing it with conventional factors employed in the infinite slope stability model. Sensitivity analysis of the factors associated with infinite slope stability revealed that hydraulic conductivity and cohesion, which are related to the wetness index, played particularly crucial roles. Thus, data for the volumetric soil water in different layers, total precipitation, and runoff taken from the ERA5-Land dataset were selected as a comparison. Analysis of the relationships between the wetness index, the factor of safety, and variables from ERA5-Land found that total precipitation considering runoff produced a trend similar to infinite slope stability analysis using field data. Therefore, the present study confirms that a hydrological dataset can be employed to estimate slope stability when field data are unavailable or unreliable. In addition, the hydrological dataset can also cover a larger target slope area during slope stability monitoring and failure prediction.

Keywords: Hydrological dataset; Factor of safety; Precipitation; Runoff; Slope stability; Wetness index (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-024-06964-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:121:y:2025:i:4:d:10.1007_s11069-024-06964-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-024-06964-9

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().