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Rainfall and blasting are the main factors inducing landslide on open-pit slopes, however, the combined effect of both factors on the slope stability remains insufficiently understood. In this study, the secondary development of the seepage module is conducted using FISH language in the FLAC3D software to calculate unsaturated seepage. Focusing on the high slope of Dagushan open-pit mine, the responses of horizontal velocity and displacement at the slope monitoring points under different rainfall intensities is investigated. Additionally, the variation of the slope safety factor following blasting at different times during rainfall under the same daily rainfall is examined. The results indicate that the rainwater infiltration reduces the strength of rock mass and increases sensitivity to blasting, as evidenced by the gradual increase in peak velocity and displacement. Once the rainfall ceases, the peak velocity gradually returns to its initial state, while the peak displacement stabilizes at a steady value. Rainwater infiltration has a significant negative impact on the slope stability following blasting. As the daily rainfall increases, the required time between the cessation of rainfall and the resumption of blasting operations progressively lengthens. [ABSTRACT FROM AUTHOR]

For slope instability caused by rainfall, there are some differences between ideal rainfall conditions and actual rainfall conditions. In order to study the stability of slopes under heavy rainfall, this paper therefore takes the "7.20" special rainstorm in Zhengzhou as an example. Four factors, namely average annual rainfall q, soil permeability coefficient anisotropy kr, water table height hw, and suction friction angle φb, were selected as variables. The finite element method was used to analyze the variation rule of initial pore water pressure (IPWP) at the top and bottom of the slope under various factors during the rainfall process, the limit equilibrium method was used to calculate the safety factor (Fs) after the rainfall, and the grey correlation analysis method was used to analyze the sensitivity of factors affecting slope stability under heavy rainfall. The result shows that the pore water pressure at the top of the slope varies more than that at the bottom of the slope during rainfall. The lower the initial pore water pressure, the lower the safety factor of the slope at the end of rainfall. The sensitivity of each factor to the slope safety factor is in the following order: φb>kr>hw>IPWP. [ABSTRACT FROM AUTHOR]

Fine particle migration is common in loose slopes with wide gradation characteristics under rainfall infiltration conditions. The seepage characteristics and stability of loose soil slopes are affected by the migration of fine particles along them. First, a flume model test was conducted to illustrate the migration law of fine particles under rainfall conditions. It was found that fine particles primarily migrated to two zones of the model slope (i.e., the shallow part of the slope and the toe of the slope) and most fine particles accumulated close to the slope toe. Second, the influence of fine particle migration on the seepage stability of loose soil slopes was also explored. The equation for the unsaturated permeability coefficient was then established considering the influence of fine particle migration. The present equation was further discussed by numerical simulations in contrast to the case where the fine particle migration was neglected. The results show that the fine particle migration along with rainfall infiltration has obvious influence on the seepage field, displacement field, and stability of the slope. [ABSTRACT FROM AUTHOR]

Introduction: The engineering geological characteristics of Yunnan's lateritic soil are quite unique, making it prone to shallow group landslides under rainfall conditions. This study focused on an old lateritic soil landslide as a case study. Methods: Soil column ponding infiltration experiment was conducted to investigate the infiltration behavior of the lateritic soil. Numerical simulation software was employed to analyze the rainfall-induced seepage characteristics of the landslide, and a comprehensive assessment of the failure mechanisms of the lateritic soil landslide was conducted. Results: The study findings are as follows: (1) During water infiltration, the infiltration time curve of the lateritic soil column showed a parabolic growth trend. The migration rate of the wetting front rapidly decreased from 0.15 to 0.2 cm/min to 0.1 cm/min and then stabilized at approximately 0.04 cm/min. (2) Long-term heavy rainfall is the condition for the formation of this old lateritic soil landslide. By coupling the seepage process, the stability coefficient of the lateritic soil slope was calculated, revealing that the instability rainfall threshold of the slope under prolonged rainfall conditions is generally 120 mm/d. (3) The main changes in the seepage field occurred in the shallow soil layer. In the later stages of rainfall, the infiltration rate of the slope was controlled by the permeability coefficient of the lateritic soil. As the rainfall intensity increased, the depth of rainfall impact increased, and the pore water pressure in the shallow soil layer tended to gradually increase and then stabilize under different rainfall intensities. (4) Under long-term rainfall conditions, the volumetric water content of the soil at the toe of the lateritic soil slope first peaked. After the rainfall ended, moisture in the slope continued to migrate to the toe, keeping the soil at the toe in a saturated state. (5) The formation and evolution of this lateritic soil landslide could be divided into five stages: initial natural stage, rainfall infiltration-crack expansion, shallow creep-progressive collapse of the front edge, sliding surface penetration-overall instability, and landslide braking accumulation. Conclusion: The research results provide significant theoretical guidance and practical implications for understanding the causes and prevention of lateritic soil landslides in similar areas. [ABSTRACT FROM AUTHOR]

Seasonally frozen ground (SFG) is a significant component of the cryosphere, and its extent is gradually increasing due to climate change. The hydrological influence of SFG is complex and varies under different climatic and physiographic conditions. The summer rainfall dominant climate pattern in Qinghai Lake Basin (QLB) leads to a significantly different seasonal freeze–thaw process and groundwater flow compared to regions with winter snowfall dominated precipitation. The seasonal hydrological processes in QLB are not fully understood due to the lack of soil temperature and groundwater observation data. A coupled surface and subsurface thermal hydrology model was applied to simulate the freeze–thaw process of SFG and groundwater flow in the QLB. The results indicate that SFG begins to freeze in early November, reaches a maximum freezing depth of approximately 2 meters in late March, and thaws completely by June. This freeze–thaw process is primarily governed by the daily air temperature variations. During the early rainy season from April to June, the remaining SFG in deep soil hinders the majority of rainwater infiltration, resulting in a two-month delay in the peak of groundwater discharge compared to scenario with no SFG present. Colder conditions intensify this effect, delaying peak discharge by 3 months, whereas warmer conditions reduce the lag to 1 month. The ice saturation distribution along the hillslope is affected by topography, with a 10 cm deeper ice saturation distribution and 3 days delay of groundwater discharge in the steep case compared to the flat case. These findings highlight the importance of the freeze–thaw process of SFG on hydrological processes in regions dominated by summer rainfall, providing valuable insights into the hydro-ecological response. Enhanced understanding of these dynamics may improve water resource management strategies and support future research into climate-hydrology interactions in SFG-dominated landscapes. [ABSTRACT FROM AUTHOR]

Rainfall-induced landslides are widespread in Indonesia, particularly in West Java, where volcanic residual soils are typically stable but may become unstable during heavy rainfall. This study aims to back analyze the geotechnical factors contributing to the Cimanggung landslide in 2021. The methods applied in this study include site investigations, laboratory testing, and numerical modeling. We performed deterministic, coupled seepage-slope stability analysis and Monte Carlo probabilistic analysis to assess the slope performance prior to and after rainfall infiltration. The results reveal that the initial water level significantly affects slope stability, and heavy rainfall infiltration triggered the landslide's initiation. The deep water table (over 20 m below ground level) maintains the slope stability, and increasing the water table to 16 m compromises its stability. Heavy rainfall infiltration reduces suction in the unsaturated zone, decreasing the shear strength and triggering landslides. The heavy rainfall infiltration did not penetrate deep enough to raise the water table; rather, poor urban drainage on the upper slope caused it. Rainfall infiltration caused wetting in the upper zone, weakening the slope and causing loss of support. It is recommended that effective drainage management and integrated slope monitoring be applied to mitigate landslide risks in this region. [ABSTRACT FROM AUTHOR]

Mining landslides in southwestern China pose a serious threat to people's property and safety. In order to study the destabilisation and damage mechanism of karst mountains under the combined action of mining and rainfall, based on the landslides in the mountainous area of the Maidi Coal Mine in Guizhou Province, and combining with field investigations, we have analysed the characteristics of the landslides, investigated the stability of the bearing structure of the bedrock of the mountain, the composition of the mineral components, and the microscopic characteristics of the rocks, and simulated the excavation of the coal seams as well as the infiltration of the rainfall. The destabilisation mechanism of the karst mountain under the coupling of mining stress and rainfall infiltration was investigated. The obtained destabilisation and destruction mechanism of karst mountain destabilisation under the coupled action of mining and rainfall lays the foundation for the control of karst landslides. [ABSTRACT FROM AUTHOR]

Slopes in nature usually present layered characteristics, and its stability is susceptible to rainfall events. Considering that current analytical solutions are only suited to simulate the rainfall infiltration of double‐layered infinite unsaturated slopes, an analytical procedure is hence proposed in this study to tackle the consideration of multiple layers. The variable separation method and transfer matrix method are combined to derive the analytical solution of pore water pressure (PWP) for simulating rainfall infiltration in layered infinite unsaturated slopes. After having validated the proposed model and analytical solutions by comparing with existing literature and numerical simulation, the closed‐form solution of PWP is incorporated into the limit equilibrium for assessing slope stability. A three‐layer slope is selected as an example for further discussion. PWP distribution and factor of safety are calculated, considering the effects of saturated hydraulic conductivity and thickness of the upper layer, intensity of antecedent and subsequent rainfall, and varied soil unit weight along the depth. The slope stability subjected to rainfall effects is consistent with the variation of PWP. The proposed analytical solutions provide a simple and practical avenue for computing PWP distribution and evaluating the stability of multi‐layered slopes under rainfall conditions, which can also serve as a benchmark for numerical solutions. [ABSTRACT FROM AUTHOR]

Copyright of Mining & Metallurgical Engineering is the property of Mining & Metallurgical Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, the possibility of reactivation of an undetected dormant landslide whose reactivation can be very risky for a railway bridge is investigated. Landslide #370 is a huge dormant landslide that occurred in the chainage of 370 km of the Miyaneh-Ardabil railway which is under construction in the Northwestern part of Iran. The big Bridge #12 of this railway is located in the vicinity of the landslide's toe. Besides, this landslide is adjacent to Shahriar Dam Lake. Therefore, there are concerns about the possibility of landslide reactivation and the effects of these activities on two adjacent projects. Due to factors such as ground perturbation performed during the construction of the railway and access road to the dam site, the rising water level of the dam lake to a level very close to the landslide toe, high seismicity of the region, and high seasonal precipitations, it is essential to investigate the possibility of reactivation of this major landslide. The above factors can all work to reduce the safety factor of this old landslide. Therefore, in this study, an attempt has been made to investigate the effect of the temporal change of influencing factors on landslide stability and provide solutions to reduce the risk of landslide reactivation. Both limit equilibrium and numerical methods were employed to evaluate the stability conditions of this huge landslide in the future. The results of the performed studies indicate that due to the occurrence of a long/heavy rainfall and/or a large earthquake in the surrounding areas, the safety factor along the identified failure surface will decrease and this reduction will be enough to bring the landslide to a critical situation. So, risk reduction methods must be designed and implemented to prevent a tragic event. [ABSTRACT FROM AUTHOR]

Rainfall is one of the most important factors affecting slope stability. This study employed multi-source monitoring devices to observe the slope displacements in real time under rainfall infiltration and performed numerical simulations to investigate the effects of different rainfall conditions and anti-slip pile configurations on slope stability. Specifically, multi-source monitoring operations were conducted on the high and steep slopes along the Yunmao Expressway. Real-time data on slope deformation, rainfall, and displacement at the tops of anti-slip piles were collected and analyzed, and numerical simulations were conducted using Geo Studio finite-element software. The findings indicated that abrupt deformation of slopes occurs once a threshold rainfall amount is surpassed and sustained over a specific duration. Slope displacement decreased with increasing slope depth above the potential slip fracture surface, with a more rapid reduction in deformation rates observed in slopes reinforced with anti-slip piles. For equivalent rainfall amounts, short-duration, intense rainfalls led to a rapid decrease in the slope safety factor, which also recovered rapidly once the rainfall ceased, in contrast to long-duration, mild rainfalls. The presence and location of anti-slip piles significantly influenced slope stability; therefore, project implementation should carefully consider factors such as cost and duration for optimal decision making. [ABSTRACT FROM AUTHOR]

In recent years, with the continuous scale expansion of surface coal mining in China, the stability and safety of slopes in surface mining areas have received more and more attention. The slopes of the Baozhixil surface coal mine located in the Chenqi coal field are characterised by low rock strength, small inclination of strata and weak interlayers, which are prone to serious sliding damage under rainfall conditions. In order to investigate the damage mechanism of such slopes under rainfall conditions and the control effect of the NPR anchor cable support system on such slopes, model experiments and numerical simulations were used. The results show that: ① from the field damage characteristics and model test results, it can be seen that the slope damage mode is the slope shear-slip caused by weak layer belt damage under the action of rainfall. The rainfall infiltration is the main factor inducing the destruction of the slope. The damage is divided into three phases: the initial deformation, the destruction of weak layer and the overall destruction. From the results of displacement monitoring, it can be seen that the slope cracks can be up to 35 mm wide, indicating that the slope slippage damage. ② From the numerical simulation analysis, it can be seen that the slope deformation increases significantly under rainfall conditions, and the maximum deformation can be up to 40 cm without anchoring measures. At the same time, the closer to the coal seam position, the larger the area of the plastic zone of slope shear damage, and the landslide body appears to have a large area of shear damage after sliding along the weak layer of the rock body, which verifies the deformation form of slope shear-slip damage. ③ From the comparative analysis of the NPR anchor cable reinforcement scheme and the PR anchor cable reinforcement scheme, it can be seen that the supporting effect of the NPR anchor cable is much better than that of the PR anchor cable, the maximum displacement of the slope under the NPR anchor cable support is reduced by 17.6 cm, while the maximum displacement of the slope under the PR anchor cable support is reduced by only 10.3 cm. The plastic damage zone under the NPR anchor reinforcement basically disappears, while the plastic damage zone under the PR anchor reinforcement still exists and extends to the depth of the slope, and the slope has the potential of landslide. The study investigated the damage mechanism of the near-level weak layer slope under rainfall conditions, proposed the NPR anchor reinforcement scheme and verified its feasibility, which provides a certain reference basis for related slope projects.

Intense precipitation infiltration and intricate excavation processes are crucial factors that impact the stability and security of towering and steep rock slopes within mining sites. The primary aim of this research was to investigate the progression of cumulative failure within a cracked rock formation, considering the combined effects of precipitation and excavation activities. The study was conducted in the Huangniuqian eastern mining area of the Dexing Copper Mine in Jiangxi Province, China. An engineering geological investigation was conducted, a physical model experiment was performed, numerical calculations and theoretical analysis were conducted using the matrix discrete element method (MatDEM), and the deformation characteristics and the effect of the slope angle of a fractured rock mass under different scenarios were examined. The failure and instability mechanisms of the fractured rock mass under three slope angle models were analyzed. The experimental results indicate that as the slope angle increases, the combined effect of rainfall infiltration and excavation unloading is reduced. A novel approach to simulating unsaturated seepage in a rock mass, based on the van Genuchten model (VGM), has been developed. Compared to the vertical displacement observed in a similar physical experiment, the average relative errors associated with the slope angles of 45°, 50°, and 55° were 2.094%, 1.916%, and 2.328%, respectively. Accordingly, the combined effect of rainfall and excavation was determined using the proposed method. Moreover, the accuracy of the numerical simulation was validated. The findings contribute to the seepage field in a meaningful way, offering insight that can inform and enhance existing methods and theories for research on the underlying mechanism of ultra-high and steep rock slope instability, which can inform the development of more effective risk management strategies.

The Green–Ampt (GA) model is a widely used analytical method to calculate the depth of the wetting front during intense rainfall. However, it neglects the existence of the transition layer and the seepage parallel to the slope surface. Therefore, a modified stratified Green–Ampt (MSGA) model is proposed. A process to assess the stability of the finite slope during a rainfall event is demonstrated by combining the MSGA model and the limit equilibrium method. In the case of the Liangshuijing landslide, the factor of safety presents a negative correlation with the depth of the wetting front. The factor of safety obtained by the stratified Green–Ampt (SGA) model is smaller than that calculated by the MSGA model, and the gap between the factor of safety based on the two methods widens with time. The moving speed of the wetting front accelerates with the increase in the length of the slope surface, and the size effect becomes apparent when the length is short. In the initial stage of infiltration, the effect of the seepage parallel to the slope surface is small. The effect of the seepage cannot be neglected at the latter stage. The result calculated by the MSGA model agrees well with the measured result in the test. [ABSTRACT FROM AUTHOR]

Shallow foundations are used in many scenarios to transmit the loads from the lightly loaded superstructures constructed on expansive soil slopes. Infiltration associated with rainfall and snow melt influence both the foundation and the expansive soil behavior, including its slope. However, several research studies that are available in the literature focus on only one of these challenges. The combined influence of infiltration on the performance of the foundation and the slope in cracked expansive soils has not received the attention it deserves in the literature. In this study, the combined performance is evaluated with the aid of a numerical method considering shallow foundations located on the top of an unsaturated expansive cracked surficial soil slope. The influence of the rainfall intensity, rainfall duration, foundation setback distance, and foundation loading on the foundation bearing capacity and slope stability were investigated. The numerical results of the study highlight that all the parameters have a significant impact on the foundation–slope failure mechanisms associated with different infiltration conditions. [ABSTRACT FROM AUTHOR]

AbstractRainfall infiltration is a primary cause of slope failure. Analyzing the entire process of a landslide triggered by rainfall is crucial for the design of infrastructure. However, the complexity associated with simulating large deformations has often hindered previous studies from modeling the entire landslide process subsequent to rainfall infiltration. This study aims to provide a method to simulate the entire process of landslides considering rainfall and more insight into the mechanism of landslides. The discrete element method (DEM) is first applied to model the entire process of shallow landslides triggered by rainfall. The numerical results indicate that the intensity and duration of rainfall infiltration have significant impacts on the slope stability. The particle displacement field, resulting from landslides due to rainfall, corresponds with three distinct stages within the landslide process. The increased rainfall intensity causes the area of the particles within failure mass grows rapidly during the initial stage of the landslide. The closer to the slope surface the faster the particle velocity. The simulations demonstrate that the slope surface transitions from a linear to a concave downward geometry during the landslides. Larger particles display greater displacement and velocity compared to smaller particles. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, the investigation on the influence of Alstonia Angustiloba tree moisture absorption at various depths and separation on the development of persuaded moisture absorption in soil were performed. The slope stabilization analysis were conducted considering two conditions (dry and wet conditions) at two different slope (saturated and unsaturated slope). Besides, the tree moisture absorption data generated during the course of 8 months of on-site monitoring are recorded and applied to assess the safety factor of the slope. Slope stabilization analysis is then performed and represented in two-dimensional and three-dimensional contour model to investigate the effect of plant transpiration on the slope stabilization. According to the findings, at the slope crest with the existence of Alstonia Angustiloba tree, the tree moisture absorption recorded a maximum value, at a distance and depth of 1.1 and 0.25 m. Moreover, the findings also proved that larger tree moisture absorption enhanced the slope's safety factor by up to 53% (from 2.17 to 4.57). The tree moisture absorption can provide an environmentally benign technique that can be used globally to avert slope disaster. [ABSTRACT FROM AUTHOR]

Shallow coal mining in gully regions has resulted in significant subsidence hazards and increased the risk of surface water inflow into mining panels, compromising the sustainability of surface water management and underground resource exploitation. In this study, the chain disaster process caused by shallow coal seam mining and heavy rainfall is quantitatively analyzed. The findings reveal that shallow coal seam mining leads to the formation of caved and fractured zones in the vertical direction of the overlying rock. The fractured zone can be further classified into a compression subsidence zone and a shear subsidence zone in the horizontal direction. The shear subsidence zone is responsible for generating compression and shear deformations, intercepting rainfall runoff, and potentially triggering landslides, necessitating crack landfill treatments, which are critical for promoting sustainable mining practices. The HEC-RAS program was utilized to integrate annual maximum daily rainfall data across different frequencies, enabling the establishment of a dynamic risk assessment model for barrier lakes. Numerical simulations based on unsaturated seepage theory provide insights into the infiltration and seepage behavior of rainfall in the study area, indicating a significant increase in saturation within lower gully terrain. Precipitation infiltration was found to enhance the saturation of the shallow rock mass, reducing matric suction in unsaturated areas. Finally, the disaster chain is discussed, and recommendations for managing different stages of risk are proposed. This study offers a valuable reference for the prevention and control of surface water damage under coal mining conditions in gully regions. [ABSTRACT FROM AUTHOR]

Taking Jingzhou City as the research object, combined with experimental observation, model simulation and theoretical analysis,the effect of land use change on rainwater infiltration and runoff coefficient under different scales, regions and rainfall conditions were studied. The results showed that the land use types in Jingzhou City had undergone significant changes from 2010 to 2022,the cultivated land area had decreased, construction land had expanded, forest and grassland had stabilized, waters had slightly increased, and other land use had slightly decreased. These changes led to an upward trend in precipitation infiltration, while the average runoff coefficient showed a downward trend. The effect of different land use types on rainfall infiltration and runoff coefficient varied. Forest land and construction land had a positive impact on infiltration, while they had a negative impact on runoff coefficient;farmland had a negative impact on infiltration and a positive impact on runoff coefficient;the effect of grasslands, waters and other land uses was relatively limited. The effect of land use change on infiltration and runoff coefficients varied and was complex with different scales, regions and rainfall conditions. [ABSTRACT FROM AUTHOR]

Sinkholes are a major geohazard caused by underground mining, significantly deteriorate the ecological environment. To understand deeply the formation mechanism of widespread sinkholes in mining areas, the unsaturated Material Point Method (MPM) was employed to study the mechanical and hydraulic characteristics during the sinkhole formation process in a southwestern mining area. This study explored the impacts of different mining modes and rainfall intensities on sinkhole characteristics and validated the results with 3D laser scanning data. Results show that prolonged and concentrated rainfall and subsurface mining activities are the main factors contributed to the formation of sinkholes. The initial rainfall infiltration behavior significantly elevates groundwater levels, leading to saturation of the surface moraine soil layer. Subsequent mining activities result in double funnel-shaped fracture zones. The differences in the expansion rates of various fracture zones lead to widespread subsidence on the surface first, followed by the evolution into sinkholes in the central area. The multi-channel mining mode is identified as the main factor causing the enlarging of sinkholes, while variations in rainfall intensity affect the distribution and morphologies of these sinkholes. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Rainfall infiltration is the primary factor affecting slope stability, which may lead to geological hazards such as landslides, collapses, and debris flows. Thus, it is crucial to investigate the rainfall infiltration patterns of unsaturated soil slopes. During a natural rainstorm, the soil volumetric water content at various depths of a significant unsaturated soil slope model was monitored onsite. The soil-water characteristic curve parameters and saturated permeability coefficient of remolded soil were quantified, and the Van Genuchten (VG) model was utilized to forecast the unsaturated permeability coefficient. The numerical simulation method was used to simulate the field rainfall experiment. Based on the mutual verification of the field measurement and numerical simulation, rainfall simulation with different rainfall intensities was added, and its influence on rainfall infiltration depth, pore water pressure, and transient saturated zone was analyzed. The findings revealed that under the rainstorm intensity of the field rainfall test, the rainfall infiltration depth ranged from 0.2 to 0.4 m after a continuous 9-h rainfall period. As the rainfall intensity increased, the range of soil pore water pressure variations expanded, with a maximum value ranging from 9 to 140 kPa under the rainstorm rainfall intensity. By extending the duration of rainstorm rainfall intensity to 14 h, the depth of the transient saturated zone reached 0.2 m. With a duration of 20 h, it reached 0.4 m. The depth reached 0.6 m after 27 h and 1.5 m after 36 h. The research findings of this paper can provide scientific guidance for revealing the hydrological characteristics of slopes during rainfall and for the protection and reinforcement of slopes. [ABSTRACT FROM AUTHOR]

Rainfall infiltration analysis has a great significance to the mitigation and risk assessment of rainfall-induced landslides. The original Green–Ampt (GA) model ignored the fact that a transitional layer exists in infiltration regions of soils under the rainfall permeation; moreover, it cannot effectively analyze the rainfall-infiltrated heterogeneous slope considering the spatial variability of saturated hydraulic conductivity (ks). In this study, an improved GA model is proposed for the rainfall-infiltration analysis of heterogeneous slopes. Four common slope cases are investigated to validate the effectiveness of the proposed model. An infinite slope model is taken as an illustrative example to investigate the distributions of volumetric water content and slope stability under the rainfall infiltration. The results show that the distributions of volumetric water content and factor of safety (Fs) obtained from the proposed model are in very good agreement with the numerical results of the Richards' equation. In contrast, the modified GA model obtains biased distributions of volumetric water content and smaller Fs for the same cases. The results show that the proposed GA model can accurately identify the location of critical slip surface of the slope, and as such it provides an efficient method for risk analysis and control of slopes susceptible to landslide. [ABSTRACT FROM AUTHOR]

IntroductionThe engineering geological characteristics of Yunnan’s lateritic soil are quite unique, making it prone to shallow group landslides under rainfall conditions. This study focused on an old lateritic soil landslide as a case study.MethodsSoil column ponding infiltration experiment was conducted to investigate the infiltration behavior of the lateritic soil. Numerical simulation software was employed to analyze the rainfall-induced seepage characteristics of the landslide, and a comprehensive assessment of the failure mechanisms of the lateritic soil landslide was conducted.ResultsThe study findings are as follows: (1) During water infiltration, the infiltration time curve of the lateritic soil column showed a parabolic growth trend. The migration rate of the wetting front rapidly decreased from 0.15 to 0.2 cm/min to 0.1 cm/min and then stabilized at approximately 0.04 cm/min. (2) Long-term heavy rainfall is the condition for the formation of this old lateritic soil landslide. By coupling the seepage process, the stability coefficient of the lateritic soil slope was calculated, revealing that the instability rainfall threshold of the slope under prolonged rainfall conditions is generally 120 mm/d. (3) The main changes in the seepage field occurred in the shallow soil layer. In the later stages of rainfall, the infiltration rate of the slope was controlled by the permeability coefficient of the lateritic soil. As the rainfall intensity increased, the depth of rainfall impact increased, and the pore water pressure in the shallow soil layer tended to gradually increase and then stabilize under different rainfall intensities. (4) Under long-term rainfall conditions, the volumetric water content of the soil at the toe of the lateritic soil slope first peaked. After the rainfall ended, moisture in the slope continued to migrate to the toe, keeping the soil at the toe in a saturated state. (5) The formation and evolution of this lateritic soil landslide could be divided into five stages: initial natural stage, rainfall infiltration-crack expansion, shallow creep-progressive collapse of the front edge, sliding surface penetration-overall instability, and landslide braking accumulation.ConclusionThe research results provide significant theoretical guidance and practical implications for understanding the causes and prevention of lateritic soil landslides in similar areas.

Seasonally frozen ground (SFG) is a significant component of the cryosphere, and its extent is gradually increasing due to climate change. The hydrological influence of SFG is complex and varies under different climatic and physiographic conditions. The summer rainfall dominant climate pattern in Qinghai Lake Basin (QLB) leads to a significantly different seasonal freeze–thaw process and groundwater flow compared to regions with winter snowfall dominated precipitation. The seasonal hydrological processes in QLB are not fully understood due to the lack of soil temperature and groundwater observation data. A coupled surface and subsurface thermal hydrology model was applied to simulate the freeze–thaw process of SFG and groundwater flow in the QLB. The results indicate that SFG begins to freeze in early November, reaches a maximum freezing depth of approximately 2 meters in late March, and thaws completely by June. This freeze–thaw process is primarily governed by the daily air temperature variations. During the early rainy season from April to June, the remaining SFG in deep soil hinders the majority of rainwater infiltration, resulting in a two-month delay in the peak of groundwater discharge compared to scenario with no SFG present. Colder conditions intensify this effect, delaying peak discharge by 3 months, whereas warmer conditions reduce the lag to 1 month. The ice saturation distribution along the hillslope is affected by topography, with a 10 cm deeper ice saturation distribution and 3 days delay of groundwater discharge in the steep case compared to the flat case. These findings highlight the importance of the freeze–thaw process of SFG on hydrological processes in regions dominated by summer rainfall, providing valuable insights into the hydro-ecological response. Enhanced understanding of these dynamics may improve water resource management strategies and support future research into climate-hydrology interactions in SFG-dominated landscapes.

Slow-moving landslides are widely observed in mountainous areas worldwide. While most of these landslides move slowly downslope over long periods of time, some ultimately accelerate rapidly and fail catastrophically. Simulating the landslide creep movement triggered by environmental factors such as precipitation, is therefore necessary to anticipate potential damaging effects on proximal infrastructure, habitat, and life. Here, we present a physically-based model that links pore-water pressure changes in the landslide mass with a new viscoplastic constitutive law designed to capture different temporal trends in slow-moving landslides. The model accounts for landslide velocity changes caused by rainfall infiltration through the Terzaghi’s effective stress principle, thus directly resolving the deformation of the active shear zone. Calibration and validation of the computations benefited from both ground-based and remote sensing data for three active landslides in the California Coast Ranges, USA. We find that our model can accurately describe both slow quasi-continuous and episodic movement commonly displayed by active landslides. Although inherent limitations of the viscoplasticity framework did not enable us to describe catastrophic landslide acceleration, our model provides versatile tools that can be used to analyze and describe distinct types of slow-moving landslide dynamics.

Slow-moving landslides affect proximal infrastructures and communities, often causing extensive economic loss. While many of these landslides exhibit slow and episodic sliding for decades or more, they sometimes accelerate rapidly and fail catastrophically. Although it is known that the landslide dynamics are controlled by hydro-mechanical processes, few analytical models enable a versatile incorporation of the inelastic behavior of the shear zone materials, thus hindering an accurate quantification of how their properties modulate the magnitude and rate of coupled fluid flow and landslide motion. To address this problem, we develop a simulation framework incorporating rainfall-induced, deformation-mediated pore-water pressure transients at the base of active landslides. The framework involves the computation of two sequential diffusion processes, one within an upper rigid-porous landslide block, and another within the inelastic shear zone. Although the framework can be linked to any elastoplastic constitutive laws, here we model landslide motion through an elastic-perfectly plastic frictional model, which enables us to account for standard properties of earthen materials such as elastic moduli, friction angle, dilation angle, and hydraulic conductivity. Numerical case studies relevant to slow-moving landslides in the California Coast Ranges show that the proposed formulation captures different temporal patterns of movement induced by precipitation. In each of the case, we achieved a relatively accurate match between data and simulations by incorporating positive dilation coefficients, which leads to spontaneous generation of negative excess pore-water pressure and self-regulating motion. Conversely, simulations with no dilation (hence, reflecting the approach of critical state) produce sharp acceleration, typical of catastrophic runaway acceleration. Our findings encourage the use of the proposed framework in conjunction with constitutive laws tailored to site-specific geomaterial properties and data availability, thus favoring a versatile representation of the variety of creeping landslide trends observed in nature.

The detailed seepage process and rainfall infiltration temporal variation cannot be observed visually due to the complexity and non-visibility of the internal structure of landslide body, thus making it difficult to identify the specific process of rainfall in the whole process of landslide catastrophic evolution, which leads to the incomplete understanding of the formation mechanism of rainfall-induced landslide. Therefore, the new technological methods for directly observing and monitoring the infiltration and seepage process of rainfall-induced landslide is of great significance for deep understanding the formation mechanism of landslide induced by raining. Transparent soil test technology enables non-invasive, continuous, non-destructive and visual measurement or monitoring inside soil or rock mass bodies. In this paper, the current status of the development of transparent soil testing technology and its application in different fields especially in the application of slope engineering and practice in the visual simulation of seepage processes are summarized from the aspects of transparent soil material properties, geotechnical engineering properties, experimental equipment and image processing analysis technology, and the feasibility of applying it to the visual observation of seepage in landslide is discussed. On this basis, the transparent soil material is screened and the preparation method is optimized. The transparent soil is used to replace the traditional geotechnical model material to establish a landslide transparent soil physical model suitable for seepage process observation. The physical simulation test of landslide seepage under rainfall conditions is carried out to obtain information on the whole process of rainfall infiltration-induced landslide disaster, and to determine the process and characteristics of the seepage process of the groundwater. The model test is an effective application of transparent soil test technology in the field of landslide seepage visual observation, expanding a new way of landslide disaster visual simulation, and further determining the complex impact of groundwater seepage on landslide. It is conducive to reveal the evolution law of rainfall-induced landslide, explore the sliding mechanism of landslide, and provide a scientific and technological support for rainfall landslide disaster prevention and disaster planning.

This article addresses potentially unstable slope areas in the context of climate change. A possible approach to mitigating and adapting slopes is presented, considering various solutions primarily based on natural processes. The methodology incorporates planning considerations for the effects of climate change on the geomechanical properties of soils and consequently the response of soils and structures. The effects of selected measures to adapt to climate change are also demonstrated. A concept for adapting potentially unstable geotechnical structures is proposed, considering anticipated climate changes for geomechanical analyses and geotechnical planning, which encompasses the causal chain: climate change signals, effects, impacts (consequences), and measures. The implementation of the concept is illustrated through a typical slope stability analysis. The conclusion of the analysis highlights factors such as water net infiltration into the slope, soil permeability, and groundwater flow within the slope, which are often crucial for slope stability. These factors can also be regulated through nature-based solutions.

Abstract Fissures form the channel for rainwater infiltration, which accelerate the infiltration of rainwater into slope bodies, hence its important impact on the seepage field and stability of the slope. In this paper, taking one landslide of Liang-Wan freeway as the research object, firstly, the equivalent permeability coefficient method is used to homogenize the fissured soil. Then considering the boundary conditions of rainfall infiltration and groundwater level, a fluid–structure coupling model is established based on saturated–unsaturated seepage theory, and evolution characteristics of seepage, displacement and stress of the slope are studied. Based on these, the slope stability coefficient is determined. The results show that the rising rate of pore water pressure and volume water content of topsoil increases when multi-fissure seepage is considered, and the pore water velocity is larger in the local seepage range of fissures. With the increase of buried depth, the closer to groundwater level, the influence of multi-fissure seepage gradually weakens. The theoretical calculation results of slope displacement are more consistent with the field monitoring results. With the increase of rainfall time, the stability coefficient of slope decreases gradually, and the rate and range of decrease are greater.

Numerous studies have looked at rainfall infiltration as a triggering factor for rainfall-induced landslides. In addition to rainfall characteristics, soil hydraulic properties are recognized to play a crucial role in instability mechanisms. This study proposes a methodology for assessing the soil-water characteristic curve and hydraulic conductivity function through finite-element seepage modelling of physical model tests. The approach is applied to an instrumented, small-scale slope model built with uniformly graded sand with a 30 degree inclination, exposed to homogeneous rainfall until the occurrence of failure. In a first stage, a sensitivity analysis is carried out to assess the influence of the Mualem–van Genuchten model parameters on the slope response. For this purpose, six physically based indicators are utilized to compare the numerical modelling results with the experimentally obtained data regarding the hydraulic response of the slope model. In the subsequent stage, a trial-and-error calibration stage is conducted to determine the set of parameters for which the difference between the numerically and experimentally acquired data is minimized. Ultimately, the suggested methodology facilitates the assessment of the optimal set of hydraulic parameters, to which both the sensitivity analysis and the trial-and-error calibration phase are anchored. The approach has demonstrated its effectiveness in calibrating the unsaturated hydraulic properties of the considered soil, as it properly addresses the physical mechanisms associated with rainfall infiltration in a slope. [ABSTRACT FROM AUTHOR]

Relating soil moisture content to soil suction, the soil–water characteristic curve (SWCC) represents an essential feature in unsaturated soil mechanics that enables estimation of different unsaturated soil property functions and modeling of the macro-scale soil behavior. However, depending on the soil and processes under consideration, proper hydraulic characterization of a soil through direct laboratory measurements can be difficult, time-consuming, and involve many uncertainties. In the case of uniformly graded sands, there is a highly nonlinear and steep shape of the SWCC, with only a few kPa of soil suction separating saturated and residual soil moisture conditions, which makes measurements for determinations of SWCC especially challenging. This study encompasses an investigation of the sandy type of soil's behavior and presents some preliminary results and experiences on the determination of SWCC through the use of physical slope model tests. The 30 cm deep slope, inclined at 35 degrees and instrumented with soil moisture and pore water pressure sensors, was exposed to series of rainfall intensities, ranging from 37 up to 300 mm/h. The results indicated that the data on hydraulic response in monitored points are not only useful for the determination of SWCC, but that the approach is useful for investigation of hydraulic hysteresis phenomena, as well as its effects on soil moisture and pore water pressure conditions, which also affects the stability conditions of a slope. In particular, the best-fit parameters of the van Genuchten model suggested air entry values of 1.6 and 1.1 kPa for the drying and the wetting curves of the SWCC, respectively, with the two branches shifted by about 1 kPa of soil suction. [ABSTRACT FROM AUTHOR]

Rainfall intensity and slope soil permeability influence rainfall infiltration and therefore play an important role in deciding the failure mode of rainfall-induced landslides. To investigate the combined effect of rainfall intensity and soil permeability on slope failure mechanisms, a total of 23 model slope tests were performed. Four different sands with permeabilities spanning two orders of magnitude were used to form the sand slope and artificial rainfalls with 9 different intensities were simulated with a calibrated raining device. A combination of photography and soil moisture content measurements was adopted to study the mechanisms of different modes of slope failures occurred within the test series. It is shown that the failure mode of slope transits from retrogressive failure to surface slide and to flow slide with the increase of rainfall intensity. Because rainfall largely transformed to surface runoff in tests with very small slope permeability (e.g., < 7 × 10−6 m/s), these slopes failed due to surface scour and erosion. Except for these tests where surface runoff was dominant, the failure mode of soil slope is controlled by the soil resistance to shearing and flow when the failure occurs, which is in turn controlled by the water content reached in the main slope body at the onset of failure (ωf) and the soil water characteristics. ωf increases with the increase of rainfall intensity and the decrease of soil permeability. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Henan University of Science & Technology, Natural Science is the property of Editorial Office of Journal of Henan University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Soil water is the main water source for plants, which is replenished by rainfall in the water-limited agricultural systems. Quantifying temporal dynamics of water soil deficit and its replenishment by rainfall can evaluate whether soil water meet the water demand for plants. This would provide accurate guide for when and how the irrigation practices conducted. However, this topic has not been deeply elucidated. In this study, soil water content at varied soil depths and precipitation were continuously monitored during two growing seasons in an apple orchard in the Loess Plateau of China. Soil water storage, soil water deficit and replenishment were also quantified. The results showed that soil water content varied temporally due to the impacts of rainfalls. Soil water storage at 0 ~ 200 cm depth ranged from 272.5 mm to 355.6 mm and the degree of soil water deficit ranged from 0.34 to 0.53 correspondingly. Meanwhile, replenishment of soil water by rainfall was 13.00% in 2017 and 9.78% in 2018, respectively. The qualitative relationship between monthly rainfalls and replenishment indicated that soil water was replenished by rainwater only at soil layers shallower than 160 cm. From the temporal dynamics of soil water content and deficit conditions, soil water could meet the water demand at the fruit expanding stage of apple trees. Irrigation measures should be taken to reduce the soil drought stress at this stage. This study provided an effective hydrological basis to improve the irrigation management of orchards and the efficiency of water resource. [ABSTRACT FROM AUTHOR]

In slopes where a mixture of coarse and fine particles is present, the infiltration of rainfall can cause the migration of fine particles. This migration alters the hydraulic properties of the soil and has implications for slope stability. In this study, the slope under investigation is a tailings dam composed of loosely consolidated soil with a wide particle size distribution. Due to rainfall infiltration, fine particles tend to migrate within the voids of the coarse particle framework, leading to changes in hydraulic properties and inducing slope instability. The classical internal erosion constitutive model, known as the Cividini and Gioda erosion criterion, is commonly used to predict the behavior and effects of fine particle erosion in geotechnical engineering. However, certain parameters in this erosion criterion equation, such as long-term density, are challenging to obtain through experiments. To investigate the coupled evolution of seepage and erosion within landfill slopes under the influence of rainfall infiltration and to understand the mechanisms of slope instability, this research assumes the erosion of fine particle suspension and adopts the Worman and Olafsdottir erosion criterion to establish a coupled model of unsaturated seepage and internal erosion. The developed model simulates the coupled response of seepage and erosion in unsaturated landfill slopes under three different rainfall intensities. It is then combined with the infinite slope model to quantitatively analyze the impact of fine particle migration on soil permeability and slope stability. The numerical simulations provide the following findings: The Worman and Olafsdottir erosion criterion, unlike the Cividini and Gioda erosion criterion, only requires the determination of the soil's gradation curve to estimate the erosion rate. Internal erosion primarily occurs within the leading edge of moisture penetration, accelerating the advancement of the wetting front and reducing slope stability. When the rainfall intensity is lower than the saturated permeability coefficient, the influence of internal erosion can be disregarded. However, under rainfall intensities equal to or greater than the saturated permeability coefficient, considering internal erosion results in a difference in the depth of the wetting front of up to 34.2 cm after 6 h in the R2 scenario. The safety factor without considering internal erosion is 1.12, whereas considering internal erosion yields safety factors between 1.08 and 1.09. In the R3 scenario, the difference in the depth of the wetting front reaches 53.8 cm after 6 h, with a safety factor of 1.12 without considering internal erosion and safety factors between 1.06 and 1.07 when considering internal erosion. [ABSTRACT FROM AUTHOR]

This article addresses potentially unstable slope areas in the context of climate change. A possible approach to mitigating and adapting slopes is presented, considering various solutions primarily based on natural processes. The methodology incorporates planning considerations for the effects of climate change on the geomechanical properties of soils and consequently the response of soils and structures. The effects of selected measures to adapt to climate change are also demonstrated. A concept for adapting potentially unstable geotechnical structures is proposed, considering anticipated climate changes for geomechanical analyses and geotechnical planning, which encompasses the causal chain: climate change signals, effects, impacts (consequences), and measures. The implementation of the concept is illustrated through a typical slope stability analysis. The conclusion of the analysis highlights factors such as water net infiltration into the slope, soil permeability, and groundwater flow within the slope, which are often crucial for slope stability. These factors can also be regulated through nature-based solutions. [ABSTRACT FROM AUTHOR]

Precipitation is one of the most important factors inducing shallow slope failures, and the shallow slope covering bedrocks is prone to instability after heavy rainfall. In one-dimensional (1D) seepage–deformation coupling issues, permeability coefficient and moisture vary with matric suction in unsaturated soil. Combining mass conservation, Darcy's law, and elastic theory, an analytical solution for coupled seepage–deformation in unsaturated soil slopes during rainfall infiltration is derived using the Fourier integral transformation method. The analytical solution can be applied to a 1D seepage problem in a soil slope with flux at the top and impervious bedrock in the base under heavy precipitation, and is conducive to study infiltration into the slope under rainfall conditions. To validate the accuracy of the proposed analytical solution in this study, it is compared with monitored pore-water pressure data from the Gufenping Landslide in the red-bed region located in Nanjiang, Sichuan, China. The compared result shows a good consistency between the analytical solution and the measured results, with a minor relative error. Investigation of the parameters demonstrates that the water-level rise is closely related to the coupling, which is influenced by precipitation duration, precipitation intensity, soil properties, and slope angle. The bottom boundary of the slope is considered to be impermeable in this study, which leads to rainfall accumulation at the base over time, and the coupled effect becomes more pronounced at the bottom boundary. [ABSTRACT FROM AUTHOR]

Flowslides are rapid gravity-driven flows of sediment-water mixture that typically occur following slope failures in soils, tailings, and municipal solid wastes, but the progressive state transition during the evolution of flowslides is still unclear. In this study, a practical method which couples elastic-plastic constitutive equations and Bingham fluid equations by a progressive transition criterion is developed within the framework of smoothed particle hydrodynamics (SPH). The elastic-plastic constitutive equations describe the mechanical behavior at a solid-like state and that at a fluid-like state is described by Bingham fluid equations. The progressive state transition can be described by a transition factor, which is governed by the degree of saturation and shear strain rate according to the experimental data. Transient seepage flow is also introduced into the SPH framework to describe the effect of water content on the evolution of flowslides. An infiltration boundary method based on ghost particles and smooth function symmetry is proposed to precisely model the rainfall infiltration process. The experimental data of ring shear tests and flume test are adopted to successfully verify the performance of the method, which can reasonably simulate the complicated solid-fluid transition processes. The method is further applied to simulate a full scale catastrophic flowslide at Payatas Landfill. As the overlying pressure on the slip surface increases, the material reaches the yield state. During the postfailure stage, the material at the slip surface first changes into an elastic-plastic state, and then partially transforms into a fluid-like state, leading to the large deformation of the failure material. The proposed method can contribute to a better understanding of the evolution of flowslides and is an applicable tool for hazard assessment. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering Geology / Gongcheng Dizhi Xuebao is the property of Journal of Engineering Geology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The analysis of rainwater infiltration is crucial for the prevention and early detection of rainfall-induced landslides. Under the assumption of saturated-unsaturated stratification, and considering the influence of saturated layer seepage and air pressure on infiltration, a modified Green-Ampt model (SRGA model) suitable for slope rainfall infiltration is established. A corresponding slope safety factor expression is derived for the model. The results show that the SRGA is demonstrated to accurately describe dynamic expansion of the wetting layer throughout the heavy rainfall infiltration process; it is also applicable under weaker rainfall conditions. Validation against experimental data confirms the model's accuracy, with an error of approximately 21% compared to Chen-Young's model. The instability time predicted with the SRGA model during the slope stability analysis emerges approximately 7.2% earlier than measured, significantly outperforming Chen-Young's model. Air pressure and seepage force influence infiltration depth through different mechanisms. The influence of air pressure is more significant in the early control stage of soil infiltration capacity, while seepage force is more significant in the later stage. Rainfall infiltration is affected by slope length to greater extent than slope stability. The SRGA model is versatile, and can be simplified into existing models under certain conditions. The results of this work may provide theoretical support for slope control under rainfall infiltration conditions. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ground Improvement is the property of Journal of Ground Improvement Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Yaogou landslide, located in Zhushan County, Hubei Province, exhibits distinctive aquifer characteristics and varying permeability, leading to the retention of groundwater within the landslide after rainfall, forming confined water. This kind of landslide aquifer underlying weakly permeable rock and soil mass is called a “stagnant water structure”. By monitoring a two-year dataset of rainfall, groundwater level, water content and displacement of the Yaogou landslide, it was found that the confined water head of the landslide fell slowly with the sharp rise of rainfall, which showed an obvious "stagnant water" pattern. Geostudio software was used to simulate the rainfall infiltration process, and it was verified that the sliding body was subjected to the action of confined water, and the lifting amplitude and acting position of confined water were basically consistent with the observed situation. The landslide stability coefficient and pressure head exhibited a reverse curve with a consistent curvature. It showed that the "water stagnation structure" of the landslide had a significant controlling effect on the formation of confined water head and the stability of landslide. This emphasizes the significant control exerted by the "water stagnation structure" on confined water head formation and landslide stability.