Landslide damage along Araniko highway and Pasang Lhamu highway and regional assessment of landslide hazard related to the Gorkha, Nepal earthquake of 25 April 2015

Xu, Chong; Tian, Yingying; Zhou, Bengang; Ran, Hongliu; Lyu, Gaohu

doi:10.1186/s40677-017-0078-9

Cited by 36 publications

(16 citation statements)

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“…In addition, detailed field investigations were carried on along the Pasang Lhamu Highway that connects Kathmandu, Nepal and Gyirong County and the Araniko Highway that links Kathmandu, Nepal and Nielamu County, China for tens of days by cars or by walk (Xu et al 2016a). Figure 4 shows two groups of comparison of satellite images from the Google Earth platform and field photos of coseismic landslides to illustrate the high-resolution, good-quality, and excellent capacity of detecting coseismic landslides on highresolution satellite images, which permit to map the locations and boundaries of coseismic landslides correctly and conveniently (Xu et al 2017). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3, 2018 ISPRS TC III Mid-term Symposium "Developments, Technologies and Applications in Remote Sensing", 7-10 May, Beijing, China…”

Section: Methodsmentioning

confidence: 99%

Landslides Triggered by the 2015 Gorkha, Nepal Earthquake

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The 25 April 2015 Gorkha Mw 7.8 earthquake in central Nepal caused a large number of casualties and serious property losses, and also induced numerous landslides. Based on visual interpretation of high-resolution optical satellite images pre-and post-earthquake and field reconnaissance, we delineated 47,200 coseismic landslides with a total distribution extent more than 35,000 km 2 , which occupy a total area about 110 km 2 . On the basis of a scale relationship between landslide area (A) and volume (V), V = 1.3147 × A 1.2085 , the total volume of the coseismic landslides is estimated to be about 9.64 × 10 8 m 3 . Calculation yields that the landslide number density, area density, and volume density are 1.32km -2 , 0.31%, and 0.027m, respectively. The spatial distribution of these landslides is consistent with that of the mainshock and aftershocks and the inferred causative fault, indicating the effect of the earthquake energy release on the pattern on coseismic landslides. This study provides a new, more detailed and objective inventory of the landslides triggered by the Gorkha earthquake, which would be significant for further study of genesis of coseismic landslides, hazard assessment and the long-term impact of the slope failure on the geological environment in the earthquake-scarred region.

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Section: Methodsmentioning

confidence: 99%

Landslides Triggered by the 2015 Gorkha, Nepal Earthquake

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Landslides also dammed the rivers at several places and caused major damages to hydropower project at Mailung Khola (Shrestha et al 2016). About 89 co-seismic landslides were delineated along Pasang Lhamu Highway that blocked the key economic route between China and Nepal (Xu et al, 2017).…”

Section: Study Areamentioning

confidence: 99%

“…Due to the direct relationship of slope with the landslide, it is always used as a main causative factor in landslide susceptibility studies (Dai et al, 2001;Lee, 2005;Nefeslioglu et al, 2008). Slope aspect has influence on co-seismic landslides because with different slope aspects, the propagating direction of seismic waves varies (Xu et al 2017). The land sliding is further controlled by different parameters related to slope aspect like drying winds, sunlight, rainfall and discontinuities (Dai et al, 2001;Komac, 2006).…”

Section: Datamentioning

confidence: 99%

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Landslide susceptibility in Rasuwa District of central Nepal after the 2015 Gorkha Earthquake

Pokharel

Thapa²

2019

Journal of Nepal Geological Society

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The 2015 Gorkha Earthquake (7.8 Mw) triggered several landslides in central Nepal with major damages in 14 districts. Among them, the Rasuwa district at the north of Kathmandu Valley faced severe landslides due to rugged topography, complex geology and improper land use development. The landslides had blocked the Pasang Lhamu Highway and dammed the Trishuli River at many places. A total of 1416 landslide locations were detected in the district from high resolution satellite images in Google Earth. In this study, landslide susceptibility was modeled in the Rasuwa District by considering slope, aspect, elevation, geology, peak ground acceleration (PGA), land use, drainage proximity and thrust proximity as the predictive factors for landslide occurrences. The landslide inventory was split into 70% and 30% portions as the training dataset and testing dataset respectively. The results from modified frequency ratio (FR) suggest that effect of geology with prediction rate 2.52 is the highest among all factors and is followed by elevation (2.38) and drainage proximity (2.12). The results were verified using area under curve (AUC) and the prediction rate was found to be 79.14%. The computed landslide susceptibility map is helpful for land use planning and landslide risk reduction measure in the Rasuwa District.

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“…Earthquakes in mountainous areas and the landslides they trigger pose a significant risk to human life and property [1][2][3][4]. For example, (i) in 1786, an M 7.75 earthquake occurred in the Kangding-Luding area in southwestern China, causing a landslide that blocked the Dadu River and formed a barrier lake [5]; (ii) in 1933, an M 7.5 earthquake in Diexi Town, southwestern China, triggered a large number of landslides and formed more than 10 landslide dams and dammed lakes [6]; and (iii) in 2008, the Wenchuan M 7.9 earthquake produced a large number of landslides and barrier lakes [7].…”

Section: Introductionmentioning

confidence: 99%

The Activity of the Yaziba Fault on the Lower Reaches of the Jinsha River, Southwestern China: Indirect Evidence from Paleo Earthquakes and Ancient Landslides

Cui

Deng

2019

Advances in Civil Engineering

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In this paper, in order to confirm the strong activity of the Yaziba Fault and provide information needed for disaster prevention and mitigation and safety of the reservoir, we use field investigations and remote sensing interpretations to obtain the geometry of the Yaziba Fault and the distribution of the associated nearby landslides. Several new events are dated, and the paleo earthquake events in the fault area and their time intervals are analyzed along with previously dated events. Then, a typical landslide case is analyzed, and its instability is determined using the limit equilibrium method. The main results of our study are as follows: (1) the Yaziba Fault extends for 20 km; (2) 164 landslides have occurred in the fault area, the LND reached 0.1 km−2, and the LAP reached 0.07 for the entire research area, and the LND and LAP gradually decrease with increasing distance from the Yaziba Fault; (3) 39 dating dates are obtained and 19 paleo earthquakes are concluded, from which the time interval of earthquakes shortened from 147,000 to 3800 years ago is found; and (4) the Daomakan landslide had a 0.6 g horizontal seismic acceleration, which indicates that it was an earthquake landslide. This comprehensive method combined the geometric characteristics of the fault, paleo earthquake data, the regional landslide distribution, and the geotechnical engineering analysis of typical landslides in the area to indirectly determine the fault’s activity and provide a reference for the study of fault activity in mountainous areas.

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Landslide damage along Araniko highway and Pasang Lhamu highway and regional assessment of landslide hazard related to the Gorkha, Nepal earthquake of 25 April 2015

Cited by 36 publications

References 37 publications

Landslides Triggered by the 2015 Gorkha, Nepal Earthquake

Landslides Triggered by the 2015 Gorkha, Nepal Earthquake

Landslide susceptibility in Rasuwa District of central Nepal after the 2015 Gorkha Earthquake

The Activity of the Yaziba Fault on the Lower Reaches of the Jinsha River, Southwestern China: Indirect Evidence from Paleo Earthquakes and Ancient Landslides

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