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JDR Vol.16 No.4 pp. 618-625
(2021)
doi: 10.20965/jdr.2021.p0618

Paper:

New Approach for the Extraction Method of Landslide-Prone Slopes Using Geomorphological Analysis: Feasibility Study in the Shikoku Mountains, Japan

Go Sato*1,†, Takatsugu Ozaki*2, Osamu Yokoyama*3, Akihiko Wakai*2, Kazunori Hayashi*4, Takanari Yamasaki*1, Shinichi Tosa*3, Takayuki Mayumi*5, and Takashi Kimura*6

*1Graduate School of Environmental Informations, Teikyo Heisei University
4-21-2 Nakano, Nakano-ku, Tokyo 164-8530, Japan

Corresponding author

*2Graduate School of Science and Technology, Gunma University, Gunma, Japan

*3Japan Conservation Engineers & Co., Ltd., Osaka, Japan

*4Okuyama Boring Co., Ltd., Miyagi, Japan

*5Japan Conservation Engineers & Co., Ltd., Tokyo, Japan

*6Graduate School of Agriculture, Ehime University, Ehime, Japan

Received:
December 7, 2020
Accepted:
April 7, 2021
Published:
June 1, 2021
Keywords:
deep-seated landslide, digital elevation model, potential to increase pore water pressure, slope stability analysis, Kochi Prefecture
Abstract

In recent years, airborne laser scanning has been used for terrain surveys of broad areas in Japan. This study attempted to extract the landslide-prone slope based on geomorphological and slope stability analyses using Digital Elevation Model obtained by airborne laser scanning. The study site is located in the mountainous region of the Shikoku Mountains, where landslides occur on the gentle slope deformed by mass rock creeps. Implementing slope stability analysis to incorporate “potential to increase pore water pressure” found that landslides occur in areas with low factor of safety. In the future, it is expected that the method developed in this study could contribute to the planning of basin-based disaster management.

Cite this article as:
G. Sato, T. Ozaki, O. Yokoyama, A. Wakai, K. Hayashi, T. Yamasaki, S. Tosa, T. Mayumi, and T. Kimura, “New Approach for the Extraction Method of Landslide-Prone Slopes Using Geomorphological Analysis: Feasibility Study in the Shikoku Mountains, Japan,” J. Disaster Res., Vol.16 No.4, pp. 618-625, 2021.
Data files:
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