A method for regionally mapping gravitationally deformed and loosened slopes using helicopter-borne electromagnetic resistivity data
Atsuko Nonomura (),
Shuichi Hasegawa,
Ryota Kageura,
Katsushi Kawato,
Tatsuro Chiba,
Satoshi Onoda and
Ranjan Kumar Dahal
Additional contact information
Atsuko Nonomura: Kagawa University
Shuichi Hasegawa: Kagawa University
Ryota Kageura: Nippon Engineering Consultants
Katsushi Kawato: Nippon Engineering Consultants
Tatsuro Chiba: Asia Air Survey
Satoshi Onoda: Asia Air Survey
Ranjan Kumar Dahal: Tribhuvan University
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 81, issue 1, No 7, 123-144
Abstract:
Abstract Earthquake-induced deep-seated landslides are prone to occur at gravitationally deformed and loosened slopes. These slopes need to be identified for landslide susceptibility mapping and landslide risk assessment. Surface morphology is an effective factor for finding the slopes, but is not effective for estimating the degree and the area of loosening. Subsurface geophysical investigations are quite useful for determining subsurface geological structures in regions where loosening has occurred. In this study, a method was developed for regionally mapping gravitationally deformed and loosened slopes as earthquake-induced deep-seated landslide susceptible zones by differentiating from sound bedrocks in flexural toppled slopes. Using the helicopter-borne electromagnetic resistivity data, “average ruggedness of resistivity” was proposed as an index parameter for differentiating the loosened zones. The estimated loosened zones were compared with observed geomorphological features during field survey, and it is shown that “average ruggedness of resistivity” is a useful parameter for regional mapping of earthquake-induced deep-seated landslide susceptible slopes.
Keywords: Resistivity; Loosened zone; Deep-seated landslide; Earthquake-induced landslide (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:81:y:2016:i:1:d:10.1007_s11069-015-2068-0
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DOI: 10.1007/s11069-015-2068-0
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