Research on water–rock (soil) interaction by dynamic tracing method for Huangtupo landslide, Three Gorges Reservoir, PR China

Jiang, Jiwei; Xiang, Wei; Rohn, Joachim; Zeng, Wen; Schleier, Markus

doi:10.1007/s12665-015-4068-5

Cited by 24 publications

(14 citation statements)

References 19 publications

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“…The physical and mechanical properties of soil vary with soil type. They also influence the infiltration of surface water and the flow of ground water [ 79 , 80 ]. The soil types in the study area were classified into six classes ( Figure 2 l).…”

Section: Methodsmentioning

confidence: 99%

Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling

et al. 2019

Entropy

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Landslides are a major geological hazard worldwide. Landslide susceptibility assessments are useful to mitigate human casualties, loss of property, and damage to natural resources, ecosystems, and infrastructures. This study aims to evaluate landslide susceptibility using a novel hybrid intelligence approach with the rotation forest-based credal decision tree (RF-CDT) classifier. First, 152 landslide locations and 15 landslide conditioning factors were collected from the study area. Then, these conditioning factors were assigned values using an entropy method and subsequently optimized using correlation attribute evaluation (CAE). Finally, the performance of the proposed hybrid model was validated using the receiver operating characteristic (ROC) curve and compared with two well-known ensemble models, bagging (bag-CDT) and MultiBoostAB (MB-CDT). Results show that the proposed RF-CDT model had better performance than the single CDT model and hybrid bag-CDT and MB-CDT models. The findings in the present study overall confirm that a combination of the meta model with a decision tree classifier could enhance the prediction power of the single landslide model. The resulting susceptibility maps could be effective for enforcement of land management regulations to reduce landslide hazards in the study area and other similar areas in the world.

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Section: Methodsmentioning

confidence: 99%

Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling

et al. 2019

Entropy

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“…With a total volume of 69 million m 3 , it is one of the four largest landslides in the TGR Jian and Yang 2013). It was partially reactivated after the river impoundment and the deformation still continues Jiang et al 2012). Its sliding surface is located in a depth of 80-100 m. Within the active sliding landslide body, a rock laboratory was constructed by the Chinese government.…”

Section: Study Sitesmentioning

confidence: 99%

Assessment of geo-hazards in a rapidly changing landscape: the three Gorges Reservoir Region in China

et al. 2015

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Large dam projects attract worldwide scientific attention due to their environmental impacts and socioeconomic consequences. One prominent example is the Three Gorges Dam (TGD) at the Yangtze River in China. Due to considerable resettlements, large-scale expansion of infrastructure and shifts in land use and management, the TGD project has irreversible impacts on the Upper Yangtze River Basin and strongly challenges the environmental conditions of this fast-developing region. Soil erosion and landslides are major geo-hazards. Knowing the extent and consequences of those geo-hazards for the landscape is essential to predict and evaluate their risk potential and allows for the development of strategies for a sustainable future land use in the Three Gorges Region (TGR). In this context, our research objectives are (1) to better understand the mechanisms of soil erosion, landslides, and diffuse matter fluxes in the TGR and their anthropogenic and environmental control factors, (2) to predict their hazard potential by combining spatial and temporal, scenario-driven high-resolution modeling in combination with multiscale earth observation data, and (3) to develop a multicomponent approach for the assessment and monitoring of geogene structures and processes. The paper describes the workflow of the project and introduces case studies, representing the current state of our research. It is shown that land-use changes as well as the water-level fluctuations of the reservoir are the crucial drivers for the soil erosion and landslide hazard. Furthermore, we present a framework aiming at the establishment of a monitoring and measuring network as well as an early warning system.

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“…Some of these landslides appear to be conditioned by the transformation of rocks and soil minerals into very low-permeability and high-plasticity clays. This transformation is evidenced by secondary clay-bearing layers in slip surfaces, something observed in landslides of Santa Lucia and Barbados [18], Japan [19], Italy [20], Hong-Kong [21], and particularly in the Three Gorges Reservoir region of China (e.g., [22][23][24][25]). The presence of these argillaceous layers, which are normally composed of a high proportion of clays belonging to the smectite group, poses a problem for slope stability analyses because these layers have mechanical properties that are very different from those of the slope materials.…”

Section: Introductionmentioning

confidence: 99%

Formation of Clay-Rich Layers at The Slip Surface of Slope Instabilities: The Role of Groundwater

Castro

Asta

Arnedo

et al. 2020

Water

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Some landslides around the world that have low-angle failure planes show exceptionally poor mechanical properties. In some cases, an extraordinarily pure clay layer has been detected on the rupture surface. In this work, a complex landslide, the so-called Diezma landslide, is investigated in a low- to moderate-relief region of Southeast Spain. In this landslide, movement was concentrated on several surfaces that developed on a centimeter-thick layer of smectite (montmorillonite-beidellite) clay-rich level. Since these clayey levels have a very low permeability, high plasticity, and low friction angle, they control the stability of the entire slide mass. Specifically, the triggering factor of this landslide seems to be linked to the infiltration of water from a karstic aquifer located in the head area. The circulation of water through old failure planes could have promoted the active hydrolysis of marly soils to produce new smectite clay minerals. Here, by using geophysical, mineralogical, and geochemical modelling methods, we reveal that the formation and dissolution of carbonates, sulfates, and clay minerals in the Diezma landslide could explain the elevated concentrations of highly plastic secondary clays in its slip surface. This study may help in the understanding of landslides that show secondary clay layers coinciding to their low-angle failure planes.

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Research on water–rock (soil) interaction by dynamic tracing method for Huangtupo landslide, Three Gorges Reservoir, PR China

Cited by 24 publications

References 19 publications

Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling

Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling

Assessment of geo-hazards in a rapidly changing landscape: the three Gorges Reservoir Region in China

Formation of Clay-Rich Layers at The Slip Surface of Slope Instabilities: The Role of Groundwater

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