Landslide susceptibility assessment at Kathmandu Kyirong Highway Corridor in pre-quake, co-seismic and post-quake situations

Dhakal, Susmita; Cui, Peng; Su, Lijun; Mavrouli, Olga; Qiang, Zhimin; Zhang, Jianqiang; Paudel, Lalu Prasad; Shrestha, Nirusha

doi:10.1007/s11629-020-6314-x

Cited by 10 publications

(1 citation statement)

References 95 publications

(127 reference statements)

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“…Large-scale landslides also occur during the operational period on some roads with lower protection levels (Tang et al, 2019), but their incidence remains low. However, there are fewer studies concerning the development mechanisms and evolutionary patterns of road landslides, with a significant focus on regional risk assessment (Dhakal et al, 2020;Hussain et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Characteristics and mechanism of landslides on highway landfill along Xiaolangdi Reservoir of the Yellow River: a case study

Yang,

Chen

2024

Nat Hazards

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On February 17, 2023, a landslide occurred on a highway slope located on the bank of Xiaolangdi Reservoir of the Yellow River, with a volume of about 1,200 m 3 , which directly led to the interruption of the road and had a serious social impact. In this paper, the area where the landslide was located was studied and analyzed by means of field investigation, remote sensing images, laboratory tests and numerical simulation. The evolution pattern of landslide groups under the influence of human engineering activities is traced, and the disaster-causing mechanism of landslides is investigated in terms of climatic factors, water level changes, stress changes, and the nature of the fill. The results indicate that: (1) Water level changes can lead to a decrease in the stability coefficient of ancient landslides, but have no direct effect on the occurrence of landslides.The change of soil stress caused by artificial excavation will change the distribution of soil plastic region, which makes the potential sliding surface changing; (2) Rainfall and temperature are the key elements affecting the fill-type landslides, and the alternating period between winter and 2 spring is the high susceptibility period of landslides; (3) Sandstone stratigraphy undergoes significant expansion and deformation under freeze-thaw action, so additional monitoring of bedrock deformation can be considered when monitoring fill-bedrock slopes.

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Section: Introductionmentioning

confidence: 99%

Characteristics and mechanism of landslides on highway landfill along Xiaolangdi Reservoir of the Yellow River: a case study

Yang,

Chen

2024

Nat Hazards

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Spatial understanding of historical and future landslide variation in Africa

Nahayo,

Peng,

Lei

et al. 2023

Nat Hazards

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The African natural landscape reshaping in search for housing, food and infrastructure development exposes the slope to failure. However, the entire African landslide characterization is still not well known due to limited studies covering the whole continent. The authors recognize this fact and conduct this study to present the historical African landslide susceptibility and the 2050 predicted occurrence under urbanization practices. Literature identi es 26,211 recent landslides and high number is localized within same areas highlighted by the 2006-2017 NASA landslide inventory. For periodical landslide susceptibility mapping, rainfall, urbanization and LULC are selected as major drivers based on literature and inventory. Each of these factors' historical maps are estimated to date (2022). These factors are combined with elevation, slope, aspects, curvature, distance to roads, distance to rivers, distance to faults, soil moisture, soil texture and lithology as of 2022 to estimate the current ( 2022) spatial landslide susceptibility. The Information Gain Ratio sensitivity analysis highlights urbanization (0.106), LULC (0.097), slope (0.091), elevation (0.088) and rainfall (0.083) as key landslide drivers. The Southern and Horn of Africa record above 80% of high and very high susceptibility classes. This 2022 susceptibility map is then predicted to 2050 and reclassi ed as that of 2050 urbanization (base map). The Southern, Eastern, Northern and Horn of Africa are landslide prone areas. This new study helps policy makers to ensure proper land planning and management practices for sustainable urbanization and lowering loss on human lives, damage on properties and environment.

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Comparison of LR, 5-CV SVM, GA SVM, and PSO SVM for landslide susceptibility assessment in Tibetan Plateau area, China

Zhang

Liu

et al. 2023

J. Mt. Sci.

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Landslide susceptibility assessment at Kathmandu Kyirong Highway Corridor in pre-quake, co-seismic and post-quake situations

Cited by 10 publications

References 95 publications

Characteristics and mechanism of landslides on highway landfill along Xiaolangdi Reservoir of the Yellow River: a case study

Characteristics and mechanism of landslides on highway landfill along Xiaolangdi Reservoir of the Yellow River: a case study

Spatial understanding of historical and future landslide variation in Africa

Comparison of LR, 5-CV SVM, GA SVM, and PSO SVM for landslide susceptibility assessment in Tibetan Plateau area, China

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