Buffer movement analysis and blunder probability analysis for GIS-based landslide susceptibility mapping

Hamasaki, Eisaku; Higaki, Daisuke; Hayashi, Kazunori

doi:10.3313/jls.52.51

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…15) were highly similar, in all four districts. Furthermore, examining many studies (e.g., Osanai et al 2007;Wakai et al 2008;Sakai et al 2013;Hamasaki et al 2015) on slope failure hazard evaluation due to earthquakes reveals many cases in which the slope angle is mentioned as an evaluation factor. Therefore, we determined that it was not appropriate to evaluate the slope failure hazards due to earthquakes without the slope angle and decided to add it to the evaluation factors.…”

Section: Relationship Between Landslide Hazard Rank and Earthquake-in...mentioning

confidence: 99%

Evaluating earthquake-induced widespread slope failure hazards using an AHP-GIS combination

2022

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Landslides and slope failures are often caused by earthquakes. This study proposes a method to map earthquake-induced slope failure hazards that uses the analytic hierarchy process (AHP) and a geographic information system (GIS) for four districts where many slope failures were induced by earthquakes (the 2018 Hokkaido Eastern Iburi, 2016 Kumamoto, 2008 Iwate-Miyagi Nairiku, and 2004 Mid Niigata Prefecture earthquakes). The assessment system, which was based on the National Research Institute for Earth Science and Disaster Resilience landslide distribution maps, was analyzed using the methods of previously published. We considered the relationships between the earthquake-induced slope failure distributions and landslide hazard factors (elevation, slope angle, slope type, catchment degree, geology, and vegetation). These relationships were utilized for pairwise comparisons of the factors in the AHP analysis. The slope angle, slope type, and catchment degree exerted the highest effects on the slope failure distribution in the four districts. The four earthquake-induced slope failure distributions were highly consistent with the slope failure hazard rank. These results provide a practical method for evaluating earthquake-induced slope-failure hazards.

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Section: Relationship Between Landslide Hazard Rank and Earthquake-in...mentioning

confidence: 99%

Evaluating earthquake-induced widespread slope failure hazards using an AHP-GIS combination

2022

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“…Previous studies have attempted to map slope failure hazards using various techniques. More recently, many researchers and engineers have performed landslide hazard assessment using geographic information systems (GIS) [13][14][15][16][17][18][19]. Furthermore, some researchers reported a method of evaluating slope failure hazard using the analytic hierarchy process (AHP) method [16,[19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Earthquake-Induced Slope Failure Distribution Using the Ahp Method and Gis

Kohno¹

2021

GEOMATE

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Landslides or slope failures are often caused by earthquakes. The 2018 Hokkaido Eastern Iburi Earthquake and the 2016 Kumamoto Earthquakes in Japan caused many slope failures that were distributed both widely and densely. This study proposes an earthquake-induced slope failure hazard mapping method that uses the analytic hierarchy process (AHP) and a geographic information system (GIS) for specific districts, the Atsuma district in Hokkaido and Minamiaso district in Kumamoto. The earthquakeinduced slope failure hazard assessment system used here is based on the landslide distribution (NIED catalog, Japan), which includes tens of thousands of locations in the Atsuma and Minamiaso districts. We considered the relationships between landslide distribution and landslide hazard factors (elevation, slope angle, slope type, catchment degree, geology, and vegetation). These relations were introduced to pairwise comparisons of factors in the AHP method. The AHP method was applied to evaluate the slope failure hazard rank. An earthquake-induced slope failure hazard map was created based on slope failure hazard ranks of I-V. As a result, slope angle, slope type, and catchment degree were found to exert maximum effects on slope failure distribution due to earthquakes in both the Atsuma district in Hokkaido and the Minamiaso district in Kumamoto. The two earthquake-induced slope failure distributions are almost consistent with the slope failure hazard rank. These results provide a practical method for evaluating earthquake-induced slope failure hazards.

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Landslide Recognition and Mapping for Slope Disaster Risk Reduction and Management–Keynote Speech

Miyagi

2020

Understanding and Reducing Landslide Disaster Risk

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Buffer movement analysis and blunder probability analysis for GIS-based landslide susceptibility mapping

Cited by 7 publications

References 5 publications

Evaluating earthquake-induced widespread slope failure hazards using an AHP-GIS combination

Evaluating earthquake-induced widespread slope failure hazards using an AHP-GIS combination

Evaluation of Earthquake-Induced Slope Failure Distribution Using the Ahp Method and Gis

Landslide Recognition and Mapping for Slope Disaster Risk Reduction and Management–Keynote Speech

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