DOI: 10.1007/s11069-021-04963-8
论文题名: Earthquake-induced landslide prediction using back-propagation type artificial neural network: case study in northern Iran
作者: Rajabi A.M. ; Khodaparast M. ; Mohammadi M.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
语种: 英语
中文关键词: Artificial neural network (ANN)
; Back propagation
; Earthquake
; Landslide
; Newmark displacement
英文摘要: Landslides can cause extensive damage, particularly those triggered by earthquakes. The current study used back propagation of an artificial neural network (ANN) to conduct risk studies on landslides in the area affected by the Manjil-Rudbar earthquake in Iran in 1990 (M = 7.7). Newmark displacement analysis was used to develop an earthquake-induced landslide hazard map for the blocks representing Chahar-Mahal and Chalkasar near the earthquake epicenter, an area of 309 km2. The input data included soil cohesion, soil friction angle, unit weight of soil, unit weight of water, distance from hypocenter, slope, and earthquake magnitude as effective parameters for landslide occurrence. The hazard map was compared with an inventory map and other research findings. The results indicated that the landslides predicted by ANN covered 50% of the inventory map of the study area (2088 of 4097 slide cells). The results of the current study suggest that the ANN method is relatively efficient for accurate prediction of landslides. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169318
Appears in Collections: 气候变化与战略
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作者单位: Associate Professor, Engineering Geology Department, School of Geology, College of Science, University of Tehran, Tehran, Iran; Associate Professor, Civil Engineering Department, University of Qom, Qom, Iran; Phd Candidate, Civil Engineering Department, University of Qom, Qom, Iran
Recommended Citation:
Rajabi A.M.,Khodaparast M.,Mohammadi M.. Earthquake-induced landslide prediction using back-propagation type artificial neural network: case study in northern Iran[J]. Natural Hazards,2021-01-01