GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method

Ning Jia (), Yasuhiro Mitani, Mowen Xie, Jianxing Tong and Zhaohui Yang

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 76, issue 2, 873-890

Abstract: The high frequency of landslide hazards has caused great human casualties and economic losses in recent years around the world. Among the current available approaches to assess landslide hazard, deterministic approach provides the best quantitative information on landslide hazard which can be used directly in the design of engineering works. However, the approach is difficult to be applied to estimate the slope stability in large scale due to two problems: (1) detailed datasets about the spatial variation of input parameters of the hydrological and slope stability models cannot be acquired easily; (2) an efficient method to divide large-scale area into small mapping units that can be used as study objects for deterministic approach is required. To solve these two problems, all the spatial data involving the physical properties of a slope are modelled in 2D planar or 3D perspective, utilizing the strong spatial data modelling and interpolation capabilities of geographic information system. In addition, a new slope unit division method is also proposed to divide an artificial slope into many small slope units as the study objects for deterministic model. The objective of this study was to propose a set of procedure to evaluate the artificial slope stability along a highway. A 3D limit equilibrium model is used to calculate stability of each slope unit in the form of safety factor. After the safety factors of all slope units are calculated, the stability of the whole area can be assessed. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Geographic information system; Slope unit division; Artificial slope; Landslide hazard assessment; Deterministic model (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11069-014-1524-6 (text/html)
Access to full text is restricted to subscribers.

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:76:y:2015:i:2:p:873-890

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

DOI: 10.1007/s11069-014-1524-6

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 ().