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  1. 防災科研関係論文

Validation of an Index for Susceptibility to Earthquake-Induced Landslides Derived from Helicopter-Borne Electromagnetic Resistivity and Digital Elevation Data

https://nied-repo.bosai.go.jp/records/5772
https://nied-repo.bosai.go.jp/records/5772
48c3ef43-30c4-4305-a937-c68b886256ed
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Validation of an Index for Susceptibility to Earthquake-Induced Landslides Derived from Helicopter-Borne Electromagnetic Resistivity and Digital Elevation Data
言語
言語 eng
著者 Atsuko Nonomura

× Atsuko Nonomura

en Atsuko Nonomura

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Shuichi Hasegawa

× Shuichi Hasegawa

en Shuichi Hasegawa

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Tatsuya Abe

× Tatsuya Abe

en Tatsuya Abe

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Sakae Mukoyama

× Sakae Mukoyama

en Sakae Mukoyama

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Yoshiyuki Kaneda

× Yoshiyuki Kaneda

en Yoshiyuki Kaneda

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抄録
内容記述タイプ Other
内容記述 Catastrophic earthquake-induced landslides can occur on slopes composed of loosened and fractured rock masses. Although it is impossible to prevent such landslides, estimation of the susceptibility of slopes to earthquake-induced landslides is useful for risk management. An index of susceptibility to earthquake-induced landslides (ISEL) was developed by using helicopter-borne electromagnetic resistivity data. However, the ISEL has not yet been validated through the analysis of pre-earthquake data. In this study, ISEL values were estimated from resistivity and digital elevation data obtained in 2013 around Mt. Aso, Kyushu, before the 2016 Kumamoto earthquake. Although most of the landslides around Mt. Aso during the 2016 Kumamoto earthquake were mass movements of volcanic tephra layers, some of them occurred on loosened rock masses. Landslide susceptible areas at loosened rock masses are the target for ISEL value estimation. Our results validated the effectiveness of the ISEL as a predictor of earthquake-induced rock mass landslides.
言語 en
書誌情報 en : Geosicences 2021 Special Issue "Geospatial Analysis for Disaster Risk Monitoring and Assessment"

巻 11, 号 2, p. 95-95, 発行日 2021-02
出版者
言語 en
出版者 MDPI AG
ISSN
収録物識別子タイプ EISSN
収録物識別子 2076-3263
DOI
関連識別子 10.3390/geosciences11020095
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