Formation and characteristics of the Xiaoba landslide in Fuquan, Guizhou, China

Lin, Feng; Wu, L. Z.; Huang, Rui; Zhang, H.

doi:10.1007/s10346-017-0897-5

Cited by 85 publications

(21 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Contour lines of normalized residuals are provided in Fig. 4, indicating that the inversion converged to the actual landslide location (Xing et al 2016;Lin et al 2018) with an error of ~ 3.0 km. The best-fitting landslide location allows us to confirm that the seismic energy recorded by seismic stations was indeed generated by the landslide.…”

Section: Landslide Force Historymentioning

confidence: 84%

“…Zones b, c and d are located to the east of zone a, and their depositional volumes are 0.17, 0.15 and 0.2 million m 3 , respectively (Xing et al 2016). Field investigations, deformation monitoring and numerical analyses reveal that unfavorable geological structure in the source area was a determinant precondition, and the combined effects of excavation and continuous rainfall were essential factors that directly triggered the landslide (Lin et al 2018).…”

Section: The Xiaoba Landslidementioning

confidence: 99%

“…A catastrophic landslide occurred at about 8:30 p.m. (Beijing Time, UTC + 8, used throughout this paper) on August 27, 2014, in Fuquan, Guizhou, China. After the movement on the slope, the sliding mass plunged into the water-filled quarry in front, inducing impulse water waves that destroyed two villages, damaged 77 houses, killed 23 persons and injured 22 others (Xing et al 2016;Lin et al 2018). As shown in Fig.…”

Section: The Xiaoba Landslidementioning

confidence: 99%

See 2 more Smart Citations

Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Huang

2019

Nat Hazards

View full text Add to dashboard Cite

A catastrophic landslide struck the Xiaoba village in Fuquan, Guizhou, southwestern China at about 8:30 p.m. (Beijing Time, UTC + 8) on August 27, 2014. The landslide and induced impulse water waves destroyed two villages and killed 23 persons. By reprocessing seismic signals from a seismic network deployed in the surrounding area of the landslide, we recognized the event from low-frequency seismic signals and subsequently performed a long-period seismic waveform inversion to obtain its force–time history. The inversion results reveal that the maximum force for the landslide is 5 × 109 N, and the duration of the landslide is 38.4 s. The landslide reached its maximum velocity of 12.4 m/s at 13.2 s after its initiation, and the mass center plugged into the quarry at 24.2 s. Based on the inversion results, we estimated basal friction of the landslide. We found the friction coefficient rapidly reduces to a relatively steady-state value of ~ 0.4 at a steady-state distance of 35 m and subsequently reduces in a near-linear manner that satisfies the empirical formula $$ \mu = - 1.4d + 0.44 $$μ=-1.4d+0.44, where $$ d $$d is sliding distance in km. The reduction in friction revealed by the formula is compatible with the finding of previous studies for landslides of similar volume in landslide acceleration stage. However, our result does not make it possible for the friction coefficient to increase again in landslide deceleration stage that a velocity-dependent friction law would allow. The friction variation patterns can be used to constrain input parameters in numerical landslide simulation, which can predicate runout distance and deposit areas for massive landslides to carry out landslide hazard assessment.

show abstract

Section: Landslide Force Historymentioning

confidence: 84%

Section: The Xiaoba Landslidementioning

confidence: 99%

Section: The Xiaoba Landslidementioning

confidence: 99%

See 1 more Smart Citation

Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Huang

2019

Nat Hazards

View full text Add to dashboard Cite

show abstract

“…For example, on June 5, 2009, a huge catastrophic rockslide with a rock mass barrier in the front took place at the crest of the Jiweishan Mountain in Wulong County, Chongqing, China, with a long runout distance of 1,500 m, and the landslide body about 7.0 × 10 6 m 3 was moved towards the valley; as a result, about 0.47 km 2 of the residential area was buried, an iron ore mine was destroyed and 74 people were killed (Xu et al 2010;Yin et al 2011). On August 27, 2014, a similar large-scale landslide with one locking segment at its front toe occurred in Fuquan County, Guizhou province, China, which killed 23 people and destroyed 77 houses (Lin et al 2018). On June 24, 2017, a catastrophic landslide with locking masses in the front was triggered above the Xinmo Village, Maoxian County, Sichuan Therefore, the landslide with locking segments possesses a huge threat to people's lives and properties, to reduce the risk of landslides with locking segments, it is essential to identify the location, geometry, and area of the locking segments before the landslide failure.…”

Section: Introductionmentioning

confidence: 99%

Identification Of Locking Segment In A High-Locality Landslide In Shidaguan, Southwest China

Zhou

Zhao

Zhang

et al. 2021

Preprint

View full text Add to dashboard Cite

Identification of the locking segments is crucial for assessing the potential runout risk and the overall stability of the high-locality landslide. However, during the field investigation, it is difficult to identify the locking segments before landslide failure due to their concealment. Tizicao landslide, a high-locality landslide, is used as the field example for the locking segments identification analysis in this study. Based on the geomorphology and spatial-temporal deformation in the landslide, the identification characteristics of the locking segments of the landslide are analyzed macroscopically, and the location and area of the locking segments are determined based on the analysis results. The field investigation methods are used to verify the identification results, including the monitoring of surface and deep displacement, geological borehole drilling, and oblique photography using drones. The results show that the locking segment of the Tizicao landslide lies at the southern slope toe, which covers an area of about 4.69 × 104 m2, accounting for 15.2% of the total area of the landslide. The significant different developmental characteristics are observed in respect of the surface displacement, deep displacement, surface crack, and sliding zone soil between locking and non-locking segments. It is concluded that the formation and evolution of the locking rock masses in the Tizicao landslide are closely related to the development of local folds and S-shaped river valleys, differential unloading due to river cutting, and earthquake-induced damage to rock masses in the landslide area.

show abstract

“…Adverse geological conditions and human activities may exacerbate hazardous situations (Xu et al 2018). Complex landslides are defined as those having multifarious material components, motion styles and mechanisms, and need to be studied both from the geomorphological and geological perspectives in order to recognize the corresponding failure mechanisms, which are the critical points that enable evaluation of future hazard risk posed by complex, rainfall-induced landslides (Sabatakakis et al 2005;Lin et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Risk Analysis of a Rainfall-Induced Complex Landslide in Wanzhou County, Three Gorges Reservoir, China

Xiao

Wang

Zhu

et al. 2020

Int J Disaster Risk Sci

View full text Add to dashboard Cite

On 4 April 2013, a 1.5 million cubic meter landslide occurred in Sunjia Town, Wanzhou County, Three Gorges Reservoir, China. After initiation, the Sunjia landslide traveled about 30 m toward the northeast and destroyed most of the infrastructure in its path. The landslide was triggered by heavy rainfall and previous slope excavations, but this slope also displayed a complicated failure process: the overlying earth slope first deformed and then induced sliding along underlying rock surfaces. Surface displacements that resulted from continuous creeping of the post-event slope were observed by an emergency monitoring system that revealed the disequilibrium state of the slope. To discuss the stability and future movements of the remaining unstable debris deposits, we developed a geotechnical model of the post-slide slope, calculated how it can slide again in an extreme rainfall scenario, and estimated the potential runout distance using the Tsunami Squares method. We then estimated the number of people and the value of the infrastructure threatened by this potential landslide. Lastly, we analyzed the vulnerability of elements at risk and quantitatively evaluated the hazard risk associated with the most dangerous scenario. This quantitative risk analysis provides a better understanding of, and technical routes for, hazard mitigation of rainfallinduced complex landslides.

show abstract

Formation and characteristics of the Xiaoba landslide in Fuquan, Guizhou, China

Cited by 85 publications

References 43 publications

Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Identification Of Locking Segment In A High-Locality Landslide In Shidaguan, Southwest China

Quantitative Risk Analysis of a Rainfall-Induced Complex Landslide in Wanzhou County, Three Gorges Reservoir, China

Contact Info

Product

Resources

About