Characteristics of Deep-Seated Landslides Induced by Different Type Earthquakes in Inland Japan

Has, Baator; Takayama, Toko; Ogawa, Kiyohisa; Onoda, Satoshi

doi:10.1007/978-3-319-04996-0_25

Cited by 5 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These earthquakes caused serious damage to the focal areas and their vicinities because of the associated landslides. Several studies have been published regarding the landslides induced by the earthquakes (Has et al, 2010(Has et al, , 2012(Has et al, , 2014Collins et al, 2012). The literature, however, mostly focused on landslide inventories and discussed the spatial distribution and relationship between the causative factors and landslide occurrences.…”

Section: Introductionmentioning

confidence: 97%

Role of geological structure in the occurrence of earthquake-induced landslides, the case of the 2007 Mid-Niigata Offshore Earthquake, Japan

Has¹,

Nozaki²

2014

Engineering Geology

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 97%

Role of geological structure in the occurrence of earthquake-induced landslides, the case of the 2007 Mid-Niigata Offshore Earthquake, Japan

Has¹,

Nozaki²

2014

Engineering Geology

Self Cite

View full text Add to dashboard Cite

Introduction: Earthquake-Induced Landslides

Wang

Konagai

Marui

et al. 2014

Landslide Science for a Safer Geoenvironment

View full text Add to dashboard Cite

Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (ML = 6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters

Vanani,

Eslami,

Ghiasi

et al. 2023

Nat Hazards

View full text Add to dashboard Cite

This study uses automatic linear regression (LINEAR) and arti cial neural network (ANN) models to statistically analyze the area of landslides triggered by the 2021 SW Chelgard earthquake (M L = 6) based on controlling parameters. We recorded and mapped the number of 632 landslides into four groups (based on the Hungr et al. 2014): rock avalanche-rock fall, debris avalanche-ow, rock slump, and slide earth ow-soil slump using eld observation, satellite images, and remote sensing method (before and after the earthquake). The results revealed that most landslides are related to debris avalanche-ow, rock avalanche, and slide earth ow under the disruption in uence of slope structures in limestone and shale units and water absorption after the earthquake in young alluviums and terraces. The spatial distribution of landslides showed that the highest values of the landslide area percentage (LAP%) and of the landslide number density (LND, N/km 2 ) occurred in the northern part of the fault on the hanging wall. The ANN models with R 2 = 0.60-0.75 provided more accurate predictions of landslide area (LA, m 2 ) than the LINEAR models, with R 2 = 0.40-0.60 using multiple parameters. The elevation and slope were found to be the most in uential parameters on the rock slump and the debris avalanche using ANN and LINEAR models. Aspect and elevation are the most important parameters for rock avalanches and rockfalls. The sliding earth ow and soil slump are most affected by the slope and elevation parameters. The peak ground acceleration (PGA) and the distance from the epicenter exhibited more effects on the LA than the intensity of Arias (Ia) and the distance from the rupture surface. Thus, the separation of seismic landslides using the classi cation of Hungr et al. ( 2014) can be helpful for predicting the LA more accurately and understanding the failure mechanism better.

show abstract

Characteristics of Deep-Seated Landslides Induced by Different Type Earthquakes in Inland Japan

Cited by 5 publications

References 6 publications

Role of geological structure in the occurrence of earthquake-induced landslides, the case of the 2007 Mid-Niigata Offshore Earthquake, Japan

Role of geological structure in the occurrence of earthquake-induced landslides, the case of the 2007 Mid-Niigata Offshore Earthquake, Japan

Introduction: Earthquake-Induced Landslides

Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (ML = 6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters

Contact Info

Product

Resources

About