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Earthquake-Induced Landslides Hazard Zonation of Rudbar-Manjil Using CAMEL Model
Abstract Earthquake-induced landslides are of the phenomena that have caused huge losses to human in recent years. Although many studies on the identification and characterization of landslides are generally done, the review of landslides caused by earthquakes is very young especially in Iran. This paper describes zoning of landslides triggered by 1990 Rudbar–Manjil earthquake with moment magnitude (Mw) 7.3 using a comprehensive areal model of earthquake-induced landslides (CAMEL). At first, the necessary information including disturbance distance (distance from river and road), ground strength class, ground moisture, shaking intensity, slope angle, slope height, soil depth, terrain roughness, material type, and vegetation were collected using aerial photos, Landsat satellite images, geological and topographic maps, and site investigation of the studied region. These data were digitized and weighed using the digital geographic information system in a comparative manner, and then concentration and hazard of the seismic landslides were predicted using the CAMEL program. It can be concluded that CAMEL displays a better performance in predicting and zoning earthquake-induced soil landslides than earthquake-induced rock landslides.
Earthquake-Induced Landslides Hazard Zonation of Rudbar-Manjil Using CAMEL Model
Abstract Earthquake-induced landslides are of the phenomena that have caused huge losses to human in recent years. Although many studies on the identification and characterization of landslides are generally done, the review of landslides caused by earthquakes is very young especially in Iran. This paper describes zoning of landslides triggered by 1990 Rudbar–Manjil earthquake with moment magnitude (Mw) 7.3 using a comprehensive areal model of earthquake-induced landslides (CAMEL). At first, the necessary information including disturbance distance (distance from river and road), ground strength class, ground moisture, shaking intensity, slope angle, slope height, soil depth, terrain roughness, material type, and vegetation were collected using aerial photos, Landsat satellite images, geological and topographic maps, and site investigation of the studied region. These data were digitized and weighed using the digital geographic information system in a comparative manner, and then concentration and hazard of the seismic landslides were predicted using the CAMEL program. It can be concluded that CAMEL displays a better performance in predicting and zoning earthquake-induced soil landslides than earthquake-induced rock landslides.
Earthquake-Induced Landslides Hazard Zonation of Rudbar-Manjil Using CAMEL Model
Khodashahi, Maryam (author) / Rahimi, Ebrahim (author) / Bagheri, Vahid (author)
2017
Article (Journal)
Electronic Resource
English
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
Earthquake-Induced Landslides Hazard Zonation of Rudbar-Manjil Using CAMEL Model
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