Topographic and geologic controls on landslides induced by the 2015 Gorkha earthquake and its aftershocks: an example from the Trishuli Valley, central Nepal

Tsou, Ching-Ying; Chigira, Masahiro; Higaki, Daisuke; Sato, Go; Yagi, Hiroshi; Satō, Hiroshi; Wakai, Akihiko; Dangol, Vishnu; Amatya, Shanmukhesh Chandra; Yatagai, Akiyo

doi:10.1007/s10346-017-0913-9

Cited by 47 publications

(35 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is evident in the Trishuli River catchment (Fig. 5a and b), where the steep inner gorges of gneiss and sandstone or quartzite are loosened by gravitational forces (Tsou et al, 2017). Discontinuities such as stratification, joints, and fractures each landslide polygon.…”

Section: Methodsmentioning

confidence: 95%

“…3). This difference may be attributed to the Gorkha earthquake occurring in the dry season, with no heavy precipitation recorded at the time (Tsou et al 2017). Antecedent rainfall can contribute to landslide formation by raising the groundwater level and increasing the pore water pressure (Chigira, 2014;Higaki et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Numerous landslides can be seen on satellite images to the northeast of Kathmandu and to the west of Kodari in the are present in the rocks, and are favourable for the generation of earthquake-induced landslides (e.g. Tsou et al, 2017). The Sun Koshi and Bhote Koshi catchments also have many landslides on inner gorge slopes (Fig.…”

Section: Landslide Characteristicsmentioning

confidence: 99%

See 2 more Smart Citations

Topographic characteristics of landslides induced by the 2015 Gorkha earthquake, Nepal

Tsou

Higaki

Chigira

et al. 2018

Journal of Nepal Geological Society

Self Cite

View full text Add to dashboard Cite

The 2015 Gorkha earthquake and its aftershocks induced landslides in central Nepal. In this study, field surveys were conducted, and Google Earth satellite images were analysed for pre- and post-mainshock and aftershock scenarios to clarify the distribution of landslides. A total of 13,097 new landslides and 750 enlarged landslides were identified and mapped as polygon-based data over an area of 7.8 × 103 km2 between the epicenters of the main shock and the largest aftershock at the mountainous southern margin of the High Himalayas. Shallow-disrupted landslides were the most common type of mass movement. The areas of individual landslides ranged from 10 to 3.2× 105 m2, covering a cumulative area of 5.4 × 107 m2 or 0.7% of the study area. The landslide density was high in the Gorkha, Rasuwa, and Sindhupalchok districts, indicating that these areas suffered greater damage. Landslides occurred mainly on steep slopes (>35°) in V-shaped inner gorges, on geologically controlled steep slopes such as the scarp slopes (infacing slopes) of mountain ridges, and on terrace scarps. The results suggest that earthquake-induced landslides occur on slopes preconditioned by topographic and litho-structural factors. Based on our observations, recommendations for the mitigation of future landslide disasters are provided.

show abstract

Section: Methodsmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Landslide Characteristicsmentioning

confidence: 99%

See 1 more Smart Citation

Topographic characteristics of landslides induced by the 2015 Gorkha earthquake, Nepal

Tsou

Higaki

Chigira

et al. 2018

Journal of Nepal Geological Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…The epicentre of the earthquake was in the Gorkha district and its aftershock was about 140 km in the Dholaka district [41]. However, landslides triggered by the earthquake and several aftershocks were scattered around large areas.…”

Section: Study Areamentioning

confidence: 99%

Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal

Meena

Piralilou

2019

Geosciences

View full text Add to dashboard Cite

Despite landslide inventories being compiled throughout the world every year at different scales, limited efforts have been made to critically compare them using various techniques or by different investigators. Event-based landslide inventories indicate the location, distribution, and detected boundaries of landslides caused by a single event, such as an earthquake or a rainstorm. Event-based landslide inventories are essential for landslide susceptibility mapping, hazard modeling, and further management of risk mitigation. In Nepal, there were several attempts to map landslides in detail after the Gorkha earthquake. Particularly after the main event on 25 April 2015, researchers around the world mapped the landslides induced by this earthquake. In this research, we compared four of these published inventories qualitatively and quantitatively using different techniques. Two principal methodologies, namely the cartographical degree of matching and frequency area distribution (FAD), were optimized and applied to evaluate inventory maps. We also showed the impact of using satellite imagery with different spatial resolutions on the landslide inventory generation by analyzing matches and mismatches between the inventories. The results of our work give an overview of the impact of methodology selection and outline the limitations and advantages of different remote sensing and mapping techniques for landslide inventorying.

show abstract

“…On a high vulnerability class with steep slopes, rock-lined sloping structure, morphology, the hills to the mountains, land use with the intensive management activities. Landslide in many research areas occur on the steep slopes of the suitable with the opinion of the (Chien-Yuan dan Wen-Lin, 2013;Mutasem,et al, 2013;Edoardo, et al, 2014;Ching-Ying, et al, 2015). Morphological factors that form the structural hills are also factors that led to the research area of the incoming high vulnerability class.…”

Section: Table 3 the Width Of Each Landslide Vulnerability Classmentioning

confidence: 99%

The Analysis of the Landslide Vulnerability Sub Watersheds Arus in Banyumas Regency

Suwarno¹,

Sutomo²,

Aditama³

2019

View full text Add to dashboard Cite

Landslide vulnerability is affected by several factors including the condition of the geology, geomorphology, soils, and land use. The purpose of this research is to examine landslide Vulnerability class by using synthetic geomorphological approach in the research area. Survey research method was use which includes field work and laboratory work. Field work intended for the mapping landslide of area, measurement and observation of the land characteristics. Laboratory work is aimed at analyzing the soil texture. The data of the field work and the laboratory are used to determine the landslide vulnerability class by using geographical information system technology. Landslide vulnerability class is analyzed by using 11 parameters. Data processing parameters of each land forms is done by giving values between the prone and not cartilage. The determination of the class prone determined how many parameters of value-prone. The results of the study show that the landslide vulnerability class research area is divided into two classes, namely medium and high vulnerability class. High vulnerability is dominating class with broad reaching 89.58% of the total area. A class of high vulnerability dominates due to various reasons including geological conditions i.e. all areas with sloping rocks of structure bedded with a slope of more than 10º, and arranged Halang and Tapak rock formations.

show abstract

Topographic and geologic controls on landslides induced by the 2015 Gorkha earthquake and its aftershocks: an example from the Trishuli Valley, central Nepal

Cited by 47 publications

References 29 publications

Topographic characteristics of landslides induced by the 2015 Gorkha earthquake, Nepal

Topographic characteristics of landslides induced by the 2015 Gorkha earthquake, Nepal

Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal

The Analysis of the Landslide Vulnerability Sub Watersheds Arus in Banyumas Regency

Contact Info

Product

Resources

About