A Hazard Assessment Method for Potential Earthquake-Induced Landslides – A Case Study in Huaxian County, Shaanxi Province

The hazard assessment of potential earthquake-induced landslides is an important aspect of the study of earthquake-induced landslides. In this study, we assessed the hazard of potential earthquake-induced landslides in Huaxian County with a new hazard assessment method. This method is based on probabilistic seismic hazard analysis and the Newmark cumulative displacement assessment model. The model considers a comprehensive suite of information, including the seismic activities and engineering geological conditions in the study area, and simulates the uncertainty of the intensity parameters of the engineering geological rock groups using the Monte Carlo method. Unlike previous assessment studies on ground motions with a given exceedance probability level, the hazard of earthquake-induced landslides obtained by the method presented in this study allows for the possibility of earthquake-induced landslides in different parts of the study area in the future. The assessment of the hazard of earthquake-induced landslides in this study showed good agreement with the historical distribution of earthquake-induced landslides. This indicates that the assessment properly reflects the macroscopic rules for the development of earthquake-induced landslides in the study area, and can provide a reference framework for the management of the risk of earthquakeinduced landslides and land planning.

Liquefaction Susceptibility of Soils With Clay Particles from Earthquake-induced Landslides

The main reason for earthquake-induced landslides is liquefaction of soil,a process considered to occur mostly in sandy soils.Liquefaction which occurs in clayey soils has also been reported and proven in the recent liters- ture,but liquefaction in clayey soils still remains unclear and there are many questions that need to be addressed.In order to address these questions,an depth study on the liquefaction potential of clayey soils was conducted on the ba- sis of field investigation and a series of laboratory tests on the samples collected from the sliding surface of the land- slides.The liquefaction potential of the'soils was studied by means of undrained cyclic ring-shear tests.Research re- sults show that the liquefaction potential of sandy soils is higher than that of clayey soils given the same void ratio; the soil resistance to liquefaction rises with an increase in plasticity for clayey soils;relation between plasticity index and the liquefaction potential of soil can be used in practical application to estimate the liquefaction potential of

Permanent displacement models of earthquake-induced landslides considering near-fault pulse-like ground motions

The permanent displacement of seismic slopes can be regarded as an effective criterion for stability estimation. This paper studied the characteristics of permanent displacements induced by velocity pulse-like ground motions and developed an empirical model to readily evaluate the stability of seismic slopes in a near-fault region. We identified 264 velocity pulse-like ground motions from the Next Generation Attenuation(NGA) database using the latest improved energy-based approach. All selected ground motions were rotated to the orientation of the strongest observed pulse for considering the directivity of the pulse effect, so that the most dangerous condition for slopes was considered. The results show the velocity pulse-like ground motions have a much more significant effect on permanent displacement of slopes than non-pulse-like ground motions. A regression model based on a function of peak ground velocity(PGV), peak ground acceleration(PGA) and critical acceleration(ac), was generated. A significant difference was found by comparing the presented model with classical models from literatures. This model can be used to evaluate the seismic slope stability considering the effects of nearfault pulse-like characteristics.

HUMAN-INDUCED LANDSLIDES IN CHINA:MECHANISM STUDY AND ITS IMPLICATIONS ON SLOPE MANAGEMENT

Human activity duo to rapid increasing of the economy in China has become so wide and intense since 1980s that it comes to the most active factor affecting the earth surface geomorphology process and provoke the most important impact to environment in recent two decades. Some typical human-induced landslides are introduced. Their generalfeatures,including distribution,types,time series of occurrence and mechanism are summarized. A classification system of landslides is suggested based on their geological backgrounds and formation mechanism. Finally,some aspects of slope management and human activity control are discussed to different types of landslides.

Reservoir-induced landslides and risk control in Three Gorges Project on Yangtze River,China

The Three Gorges region in China was basically a geohazard-prone area prior to construction of the Three Gorges Reservoir （TGR）. After construction of the TGR, the water level was raised from 70 m to 175 m above sea level （ASL）, and annual reservoir regulation has caused a 30-m water level difference after impoundment of the TGR since September 2008. This paper first presents the spatiotemporal distribution of landslides in six periods of 175 m ASL trial impoundments from 2008 to 2014. The results show that the number of landslides sharply decreased from 273 at the initial stage to less than ten at the second stage of impoundment. Based on this, the reservoir-induced landslides in the TGR region can be roughly classified into five failure patterns, i.e. accumulation landslide, dip-slope landslide, reversed bedding landslide, rockfall, and karst breccia landslide. The accumulation landslides and dip-slope landslides account for more than 90%. Taking the Shuping accumulation landslide （a sliding mass volume of 20.7 × 106 m^3） in Zigui County and the Outang dip-slope landslide （a sliding mass volume of about 90 × 106 m^3） in Fengjie County as two typical cases, the mechanisms of reactivation of the two landslides are analyzed. The monitoring data and factor of safety （FOS） calculation show that the accumulation landslide is dominated by water level variation in the reservoir as most part of the mass body is under 175 m ASL, and the dip-slope landslide is controlled by the coupling effect of reservoir water level variation and precipitation as an extensive recharge area of rainfall from the rear and the front mass is below 175 m ASL. The characteristics of landslide-induced impulsive wave hazards after and before reservoir impoundment are studied, and the probability of occurrence of a landslide-induced impulsive wave hazard has increased in the reservoir region. Simulation results of the Ganjingzi landslide in Wushan County indicate the strong relationship between landslide-induced surge and water variation with high potential risk to shipping and residential areas. Regarding reservoir regulation in TGR when using a single index, i.e. 1-d water level variation, water resources are not well utilized, and there is also potential risk of disasters since 2008. In addition, various indices such as 1-d, 5-d, and 10-d water level variations are proposed for reservoir regulation. Finally, taking reservoir-induced landslides in June 2015 for example, the feasibility of the optimizing indices of water level variations is verified.

Evaluation model of landslide hazards induced by the 2008 Wenchuan earthquake using strong motion data

Landslides induced by the 2008 Wenchuan earthquake in the Longmenshan area were relatively well instrumented, which makes it possible to investigate the landslides using ground motion records. Firstly, this paper analyzes the data from Wenchuan earthquake on both regional and local site scale. The analyses show that the Newmark accumulative displacement calculated from the ground motion recorded in a particular geological hazard zone corresponds to the hazard intensity in that zone; the larger the displacement, the more serious the geologic hazard. The calculated result also shows that the displacement is related to the Arias intensity, which represents the total energy released during the earthquake at the observation site. Secondly, this paper constructs an evaluation model of Newmark displacement calculated with Arias intensities to estimate the subsequent slope failure resulting from the earthquake. The calculated results based on the model fit well with the distribution of actual landslides, suggesting that this method is useful for hazard evaluation. Therefore, this type of model can be used for estimating regional-scale distribution of earthquake-induced landslides and their associated hazards immediately after an earthquake.

Relationships between ground motion parameters and landslides induced by Wenchuan earthquake

The MS8.0 Wenchuan earthquake induced severe landslide hazards.For the first time in China,large numbers of strong motion records were obtained during the Wenchuan earthquake,providing the opportunity to study the relationships between ground-motion parameters and the earthquake-induced landslides.Nearly 40 groups of records from the main shock distributed along the Longmenshan fault lines were used to carry out this study.The results appropriate to the Longmenshan area are as follows：1 The threshold of the peak ground acceleration（PGA） is about 0.7 m/s2.When the PGA reaches 2 m/s2,the landslide hazards are very serious; 2 The threshold of the peak ground velocity（PGV） is about 0.5 m/s.When the PGV reaches 1.5 m/s,severe landslide hazards will be induced; 3 The threshold for the Arias intensity（Ia） is about 0.2 m/s.When the Ia in one horizontal direction reaches 2 m/s,landslide hazards will be very serious; 4 As for the relevance order of the parameters to earthquake-induced landslides,Ia is the leading parameter,followed by PGV,and finally PGA.The results presented in this paper are consistent with the results from other studies,indicating that the threshold of the ground motion parameters for strong earthquakes is of the same order of magnitude as that of moderate earthquakes.Landslide density of local sites fluctuated with the increase of ground motion intensity if the thresholds were reached.When the upper limits are exceeded,the landslide density remains at a certain level with relatively little variation.

Strength softening models of soil and its application in rainfall-induced landslide simulation

In this study, strength softening models are developed for exploring rainfall-induced landslide mechanism based on Mohr Coulomb strength theory with both saturation degree and temporal evolution into consideration. According to the ratio of two time scales available, the model can be classified into three categories, i.e., instant softening model, delay softening model, and coupling softening model. Corresponding evolution functions are specified to represent these kinds of softening processes and then applied to simulate landslide of homogeneous slopes triggered by rainfall, therefrom, useful conclusions can be drawn in the end.

Examination of Rainfall-Induced Landslide Failure Mechanisms via a Centrifuge Physical Simulation Test

Rainfall is one of the most important factors contributing to landslides, and gentle bedding incline, high-rainfall induced landslides are common throughout the world. Field observations and theoretical analyses have been used to assess slope instability caused by permeability variation. In this study, the influence of rainfall infiltration on gentle bedding incline slope behaviour was investigated using a centrifuge physical simulation test. The magnitude, pattern and development of pore water and earth pressure at the interface;the shear failure surface features;and the corresponding deformation and failure processes were considered. A model with interbedded sand and mud was created, and a centrifuge was used to simulate both natural and rainfall conditions. The weak intercalation was composed of single-material silty clay, and the landslide mass was composed of red-bed sandstone. A combination of photography, pore water pressure measurements and earth pressure measurements were used to examine the relationship between the pore water pressure, earth pressure and failure modes. When the slope experiences overall instability, the curves of the earth pressure and pore water pressure dramatically decrease. The results reveal that the failure shear surface largely depends on the differential creep caused by the properties of the rock mass and the rainfall infiltration.

Studies of Rainfall Induced Landslides Along NH-39 of Manipur,India

Landslide is one of the most frequently occurring natural hazards in Manipur which is a tectonically active area.Rainfall-induced landslides are studied along NH-39 to find out the impact of rainfall.Though rainfall-induced landslides are usually shallow slips in nature and the volume of slip mass is not very large, the damage caused to the properties and infrastructures can be quite serious due to their highly frequent occurrences.NH-39,which is one of the life lines of Manipur,is regularly affected by frequent landslides during rainy season and the frequency is increasing at present as compared to the recent past.Several lands-

Calculation of landslide occurrence probability in Taiwan region under different ground motion conditions

In this study,Bayesian probability method and machine learning model are used to study the real occurrence probability of earthquake-induced landslide risk in Taiwan region.The analyses were based on the 1999 Taiwan Chi-Chi Earthquake,the largest earthquake in the history in this Region in a hundred years,thus can provide better control on the prediction accuracy of the model.This seismic event has detailed and complete seismic landslide inventories identified by polygons,including 9272 seismic landslide records.Taking into account the real earthquake landslide occurrence area,the difference in landslide area and the non-sliding/sliding sample ratios and other factors,a total of 13,656,000 model training samples were selected.We also considered other seismic landslide influencing factors,including elevation,slope,aspect,topographic wetness index,lithology,distance to fault,peak ground acceleration and rainfall.Bayesian probability method and machine learning model were combined to establish the multi-factor influence of earthquake landslide occurrence model.The model is then applied to the whole Taiwan region using different ground motion peak accelerations(from 0.1 g to 1.0 g with 0.1 g intervals)as a triggering factor to complete the real probability of earthquake landslide map in Taiwan under different peak ground accelerations,and the functional relationship between different Peak Ground Acceleration and their predicted area is obtained.

2023年甘肃积石山Ms6.2级地震震害异常的启示

2023年12月18日,甘肃省临夏回族自治州积石山县发生Ms6.2(Mw5.9)级地震,震源深度10 km。此次地震造成大量的人员伤亡、房屋倒塌和地质灾害。为了对该次地震的震害有初步认识,基于已有文献资料、高精度遥感数据和野外调查数据,本文尝试对该次地震的灾害特征展开分析。结果表明:该次地震为逆冲型事件,发震断裂为拉脊山北缘断裂东段;震源浅叠加松散覆盖层产生了明显的地震波放大效应,使得极震区的地面运动峰值加速度(PGA)异常高,强震动使得房屋大量倒塌;而位于断裂上盘的积石山崩塌及滑坡地质灾害相对不发育,仅在黄土覆盖的官亭盆地产生了数百处小型滑坡和中川乡一处较大规模的地震液化滑坡泥流。

基于多源数据与机器学习的降雨型滑坡灾害危险性动态预警

降雨型滑坡灾害是三峡库区发育的主要地质灾害之一,区域滑坡灾害危险性预警对滑坡风险减缓有重要意义。针对区域滑坡灾害危险性预警的时效性等问题,本文以重庆市云阳县为研究区,提出了基于多源数据与机器学习的滑坡灾害危险性动态预警方法(图1)。1滑坡易发性空间预测滑坡易发性预测可准确地预测出潜在滑坡空间分布规律(黄发明等,2020;林高聪等,2023)。

全风化花岗岩滑坡稳定性与降雨关系分析

降雨是滑坡诱发的主要因素,当前我国防灾工作理念从注重灾后救助向注重灾前预防转变、从减少灾害损失向减轻灾害风险转变,因此明晰降雨诱发机理并建立合理的预警机制,对做好地质灾害防灾减灾工作至关重要。针对降雨型全风化花岗岩滑坡稳定性问题,以青岛崂山风景区全风化花岗岩返岭滑坡为实例,进行了不同含水率原状土剪切试验与大型物理相似模型试验。揭示了边坡的降雨响应规律,探究了全风化花岗岩滑坡稳定性与降雨关系,并拟合相关量化公式。同时采用ABAQUS建立边坡流固耦合三维数值模型,基于强度折减法验证了公式的合理性。研究结果表明:(1)降雨型全风化花岗岩滑坡的破坏模式分为浸润侵蚀→表层变形→破坏加深→整体失稳4个阶段,变形期间坡体存在“鼓状凸起”与“片状溜滑”现象,最终发生推移式破坏;(2)边坡对降雨入渗的响应规律在水平及竖向空间上存在差异,降雨强度越大,含水率与孔压增速越大;(3)基于试验结果推导了滑坡含水率、安全系数与降雨强度、降雨持时之间的影响关系公式,数值模拟验证误差率较小,能够较好的描述全风化花岗岩滑坡稳定性与降雨之间的定量关系。研究结果为类似强~全风化花岗岩地区滑坡的预警与防治提供参考。

基于I-D阈值的滑坡气象预警双指标模型

确定降雨阈值对于管控降雨型滑坡灾害风险具有重要意义。以浙江衢州市98处降雨型滑坡为例进行降雨阈值研究。在统计分析1970—2019年梅汛期间诱发滑坡降雨特征的基础上,首先对比分析I-D、E-D和E-I曲线建立的降雨阈值模型,然后基于I-D阈值建立以当日降雨量R0和5 d有效降雨量R5为预警指标的滑坡气象预警双指标模型,最后采用历史降雨和滑坡数据检验模型的合理性和可靠性。结果表明:(1)I-D模型对于降雨型滑坡的预测能力优于E-D和E-I模型;(2)按双指标模型反演衢州市历史50 a滑坡气象预警情况,红色、橙色和黄色预警的年均预警次数为1.5,3.2,9.3次,具有较高的合理性;20处验证滑坡点被双指标模型准确预警,其中15处为红色和橙色预警,此外模型成功预警了2014年全部8处降雨型滑坡;(3)用于检验模型预测能力的7处滞后性滑坡全部成功预警,其中3处橙色预警、3处黄色预警和1处蓝色预警。本研究提出的预警模型有助于衢州市滑坡气象预警发布,为政府部门开展风险评价和管理提供新思路与方法。

黔东北地区地质灾害时空分布规律及孕灾地质环境研究

黔东北地区是一个地质环境复杂的地区,地质灾害分布范围广、数量多,属于贵州省地质灾害高易发区域。为了深入研究地质灾害时空分布特征与孕灾地质环境规律,以黔东北地区沿河县为研究区,通过野外孕灾地质条件实地调查成果资料,结合历年地质灾害数据,详细阐述研究区内地质灾害分布的总体特征,总结地质灾害孕灾地质条件,深入分析各类孕灾因子对滑坡、崩塌等地质灾害发育的控制作用,通过综合分析研究区内孕灾地质条件,进一步将研究区划分为三大孕灾地质条件区,为减轻地质灾害风险、防灾减灾提供了科学依据。研究结果表明:研究区内地质灾害发生的时间受月平均降雨量影响十分显著;空间分布情况受地层岩性特征影响较大;区内地质灾害主要孕灾地质条件为地形地貌、地层岩性、斜坡结构等,降雨和人类工程活动为外部诱发因素;区内易滑地层主要为中志留统秀山组、下志留统龙马溪组、下奥陶统大湾组等;易崩地层主要为下奥陶统大湾组、下志留统雷家屯组、中二叠统茅口组;不同灾种的斜坡结构具有明显的差异性,滑坡主要发育于凹型和折线型斜坡,崩塌则多发育于凸型斜坡;研究区内地表水系与地质灾害发生具有一定关联性,区内乌江流域水系沿线200m范围内发生地质灾害数量占灾害总数的9.74%。

基于振动台试验的不同含石率土-石混合体边坡地震动响应差异性研究

针对土-石混合体边坡动力响应特性尚不明确的问题,基于相似原理设计开展了3组不同含石率土-石混合体边坡大型振动台试验,系统地对比分析了不同含石率土-石混合体边坡动力响应的差异。研究结果表明:土-石混合体边坡在地震作用下的加速度响应符合自由面效应,即边坡在近坡顶端处的加速度放大效应要明显强于坡体内,而不同含石率土-石混合体边坡在不同频率正弦波激振作用下的动力响应差异明显,这是因为不同含石率土-石混合体边坡结构的动力特性存在差异;地震作用下,模型边坡动土压力由边坡浅表层至坡体内部呈不断增大趋势,但由于坡体变形与损伤程度不同,不同含石率边坡整体的动土压力响应程度不同;且在地震波分级加载过程中,边坡不同部位处动土压力的突变可作为边坡产生动力破坏的依据;随着含石率的上升,地震作用下边坡整体的变形程度逐渐降低:20%含石率边坡表现为由浅层至深层的连续滑动,而40%与60%含石率的边坡变形则相对较小,40%含石率边坡仅表层岩土体发生滑移,60%含石率边坡仅浅表层土体发生剥落,含石率的提升对土-石混合体边坡起到了加固作用。

四川秦巴山区降雨型滑坡灾害降雨阈值

四川省秦巴山区因其复杂地形和频发的极端降雨,成为中国滑坡灾害高发区,降雨是其主要自然致灾因素之一。尽管现有区域滑坡预警系统提供了基本的监测,但在准确性方面仍有提升空间。本研究通过分析2000—2020年间1850起滑坡灾害及同期逐时降雨数据,识别影响滑坡发生的关键降雨特征,采用混淆矩阵和技能得分等评价指标,拟合筛选确定最佳阈值曲线。研究表明:(1)拟合确定了诱发滑坡灾害的最佳降雨阈值曲线,并将其应用于2021年滑坡灾害预报,预测正确率达到87.72%。(2)通过滑坡隐患点编目数据进行滑坡危险性区划,中高及高危险性区域(4级和5级)的滑坡灾害点占比51.46%,中至高危险性区域(3级至5级)的灾害点占比91.23%,显示出阈值曲线在空间预测上的有效性。最佳降雨阈值曲线的应用显著提高了滑坡预警系统的准确性和可靠性。研究成果有助于优化现行滑坡预警系统,提高灾害管理效率,可为滑坡灾害预防和减灾工作提供科学支持。

滑坡区输电塔线体系风振响应及主客观安全评价模型

滑坡区输电线路在边坡变形和风荷载共同作用下,极易产生断线、倒塔等事故。以滑坡区某输电线路为研究对象,建立2塔3线有限元模型,运用Kaimal谱建立风荷载模型,分析30°、45°、60°、90°风向角风荷载和15种边坡变形组合作用下,塔线体系的动力响应规律,提出应急加固建议。接着运用层次分析法和基于相关性指标权重法(CRITIC)分别确定主客观权重值,采用最小鉴别信息原理获得主客观组合权重,最终通过引入均化系数优化模糊综合评价法,建立塔线体系主客观安全性评价模型,并进行实例应用验证。结果表明:风荷载作用下输电塔线体系承受边坡变形能力总体上明显降低,且随着风向角的增大而减小,最不利于工况为单塔腿沉降叠加90°风向角,相对无风时抗变形能力降低69%。主客观安全性评价模型实例评价结果与实际一致,可用于滑坡区输电塔线体系的安全性评价。

基于CatBoost-SHAP模型的滑坡易发性建模及可解释性

文章致力于深入探索滑坡易发性建模中集成学习模型的不确定性和可解释性。以浙江省东部沿海山区为研究对象,利用谷歌历史影像与Sentinel-2A影像,记录了2016年超级台风“鲇鱼”触发的552起浅层滑坡事件。研究首先对连续型因子进行了不分级、等间距法和自然断点法的工况设计,进一步划分为4,6,8,12,16,20级。随后,引入了类别增强提升树模型(CatBoost)以评估不同工况下的滑坡易发性值,再结合受试者曲线与沙普利加性解释法分析,对建模过程中的不确定性和可解释性进行了深入研究,目的在于确定最优建模策略。结果表明:(1)在CatBoost模型计算中,河流距离成为最关键的影响因子,其次是与地质条件、人类活动相关的因子;(2)不分级工况下,模型能够获得最高的AUC值,达到0.866;(3)相较于等间距法,自然断点法的划分策略展现出更佳的泛化能力,且模型预测性能随着分级数量的增加而增加;(4)沙普利加性解释法模型揭示了主要影响因子道路距离、河流距离、DEM和坡向对台风诱发滑坡的控制机制。研究成果能够加深对滑坡易发性的理解,提高滑坡预测的准确性和可靠性,为相关地区的防灾减灾工作提供科学依据。