Experimental results of the impact pressure of debris flows in loess regions

Shu, Heping; Ma, Jinzhu; Shi, Quan; Chen, Peiyuan; Guo, Zhengfu; Peng, Zhaohua

doi:10.1007/s11069-020-04132-3

Cited by 16 publications

(3 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, the loess area is mainly located in the central part of the study area whereas the southern and northern areas are mostly covered by colluvium, limed soil, and sandy soil. In the area with high slope angles, the collapsibility and high porosity of loess can easily trigger landslides under heavy rainfall conditions, and relative examples have been reported by previous studies [73,74]. The frequency ratio of loess is 1.495 (Table 2), much higher than other categories.…”

Section: Landslide Susceptibility Zonationmentioning

confidence: 58%

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Shu

Guo

et al. 2021

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Although numerous models have been employed to address the issue of landslide susceptibility at regional scale, few have incorporated landslide typology into a model application. Thus, the aim of the present study is to perform landslide susceptibility zonation taking landslide classification into account using a data-driven model. The specific objective is to answer the question: how to select reasonable influencing factors for different types of landslides so that the accuracy of susceptibility assessment can be improved? The Qilihe District in Lanzhou City of northwestern China was undertaken as the test area, and a total of 12 influencing factors were set as the predictive variables. An inventory map containing 227 landslides was created first, which was divided into shallow landslides and debris flows based on the geological features, distribution, and formation mechanisms. A weighted frequency ratio model was proposed to calculate the landslide susceptibility. The weights of influencing factors were calculated by the integrated model of logistic regression and fuzzy analytical hierarchy process, whereas the rating among the classes within each factor was obtained by a frequency ratio algorithm. The landslide susceptibility index of each cell was subsequently calculated in GIS environment to create landslide susceptibility maps of different types of landslide. The analysis and assessment process were separately performed for each type of landslide, and the final landslide susceptibility map for the entire region was produced by combining them. The results showed that 73.3% of landslide pixels were classified into “very high” or “high” susceptibility zones, while “very low” or “low” susceptibility zones covered only 3.6% of landslide pixels. The accuracy of the model represented by receiver operating characteristic curve was satisfactory, with a success rate of 70.4%. When the landslide typology was not considered, the accuracy of resulted maps decreased by 1.5~5.4%.

show abstract

Section: Landslide Susceptibility Zonationmentioning

confidence: 58%

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Shu

Guo

et al. 2021

Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…Complete dynamic similarity of all forces acting in nature and in a physical debris-flow model is not feasible by using the same fluid with the same viscosity [ 5 , 12 , 21 , 45 , 48 , e.g.]. However, several studies indicate that there are considerable differences regarding the origin of the bulk resistance of natural debris-flow events [ 10 , 27 , 54 ].…”

Section: Methodsmentioning

confidence: 99%

Impact dynamics of granular debris flows based on a small-scale physical model

Scheidl,

Friedl,

Reider

et al. 2023

Acta Geotech.

View full text Add to dashboard Cite

The peak pressure of a granular debris flow at low Froude conditions can be calculated with knowledge of the stress anisotropy and the bulk density as well as the run-up height at impact. Based on a small-scale physical model, measurements of stress anisotropy and flow density values at impact are presented and applied to existing run-up prediction models, and further compared with back-calculated run-up coefficients from measured maximum impact pressures. For this purpose, we conducted 17 experiments with impact measurements and six experiments without impact measurements at Froude numbers, ranging from 0.84 to 2.41. Our results indicate that run-up heights are best reproduced by predictive models, either based on energy or mass and moment conservation, when anisotropic stress conditions, found in this study to range from 1.2 to 5.0, and bulk density variations due to impact, ranging in this study from 0.8 to 2.3, are considered. The influence of stress anisotropy and density variation on the run-up prediction differs, depending on the modelling approach. For the calculation of run-up heights based on the energy conservation concept, the influence of stress anisotropy becomes more significant with increasing Froude number, whereas for models based on mass and momentum conservation, bulk density variations have a greater influence on the estimation of the potential run-up.

show abstract

“…Of crucial importance is the force dependence on time and the maximum total impact force determined from it. Therefore, the results of the model experiments for this work were compared with the maximum impact forces of the model experiments from the literature [1,2,[4][5][6][7][8][9], and the findings from numerical simulations and the empirical approximation formula were compared.…”

Section: Aims Of This Workmentioning

confidence: 99%

Impacts of Gravitational Mass Movements on Protective Structures—Rock Avalanches/Granular Flow

Hofmann

Berger

2022

Geosciences

View full text Add to dashboard Cite

Rock avalanches and landslides lead to gravitational flow into their runout areas, which poses increasing danger to settlement areas and infrastructure in the Alpine region as a result of climate change. In recent years, a significant increase in extreme events has been registered in the Alps due to climate change. These changes in the threat to settlement areas in the Alpine region have resulted in the need for the construction of sustainable protective structures. Many structures are rigid, but others are now also increasingly flexible, e.g., net and dam structures, which are mainly earth dams with geogrids. In this study, empirical model experiments and numerical simulations were carried out to estimate the flow depth, the deposition forms and the effects on protective structures. Numerical programs usually require unknown input parameters and long computation times for a realistic simulation of the process. This study shows the results of model tests with different granular materials. Furthermore, different design approaches of different authors are presented. Finally, a design model based on the model tests of the University of Innsbruck for rigid barriers, nets and dams due to rock avalanches is presented.

show abstract

Experimental results of the impact pressure of debris flows in loess regions

Cited by 16 publications

References 70 publications

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Impact dynamics of granular debris flows based on a small-scale physical model

Impacts of Gravitational Mass Movements on Protective Structures—Rock Avalanches/Granular Flow

Contact Info

Product

Resources

About