考虑水致劣化效应的库岸滑坡非饱和渗流应力耦合分析

水对岩土体的力学参数存在明显的劣化效应。开展了不同含水率条件下滑坡堆积体三轴力学试验, 建立了饱和度和力学参数之间的经验方程; 对建立的经验方程进行了二次开发, 通过饱和度和力学参数的耦合, 实现了库水位实时变动过程中考虑岩土体力学参数变化对滑坡稳定性的影响, 克服了库水位变动过程中岩土体物理力学参数不能随库水入渗变化的局限性。通过云南省兰坪县大华滑坡在库水位变动环境下的模拟结果和现场监测数据的比对, 验证了考虑岩土体力学参数水致劣化效应的合理性, 并对大华滑坡考虑水致劣化效应的变形演化规律进行了工程应用。      

基于模型试验的动水驱动型顺层岩质滑坡启滑机制初探

动水驱动型顺层岩质滑坡数量多、灾害频发、危害大, 是滑坡地质灾害领域的研究重点, 但目前对于滑坡启滑机制的认识仍不充分, 滑坡的准确预报还面临巨大挑战。鉴于此, 以含软弱夹层的中倾角顺层岩质滑坡为研究对象, 通过构建理想的单层滑带滑坡物理模型, 开展了一系列动水作用下的滑坡模型试验研究。结果表明, 动水作用下顺层岩质滑坡从开始变形至失稳滑动需经历初始变形、缓慢变形、加速变形和失稳破坏4个阶段, 而各个阶段的演化特征与滑面粗糙度和倾角密切相关。滑面倾角越大或粗糙度越小, 滑坡体从开始变形至失稳滑动所需的时间则越短; 相应地, 坡体加速变形阶段越不明显, 滑坡破坏的突发性越强。滑带内的渗流冲蚀作用会使滑带土中的骨料流失, 导致其抗剪强度降低, 进而引发坡体滑动。与此同时, 上覆坡体的压剪作用以及变形演化过程亦将反过来影响冲蚀强度。基于滑带土黏聚力随水力梯度和冲蚀时间的变化关系, 提出了渗流驱动下滑带土黏聚力演化模型, 可较好地描述滑带土黏聚力的退化过程。滑面粗糙度的存在不仅显著影响了滑带的冲蚀劣化规律, 还改变了滑带不同区域的破坏模式。此外, 通过考虑滑面粗糙度对滑带不同区域破坏模式的影响, 开展了动水多效应关联分析, 建立了滑坡地质体力学分析模型, 实现了动水作用下顺层岩质滑坡动态稳定性的有效评估。本研究成果可为实际动水驱动型顺层岩质滑坡的预测和防治提供理论参考。      

基于多源数据的谭家湾滑坡变形机制及稳定性评价

针对2016年5月发生于秭归县西北部的谭家湾滑坡,结合卫星遥感影像、现场勘查资料以及历史资料等多源数据,初步明确了滑坡的影响区域、特征及发生时序;综合采用钻探、槽探、物探等手段,开展室内外相关实验,明确了滑坡区的地层特性以及岩土体物理力学性质指标,通过分析该区裂缝位移及GPS数据,对该边坡的变形机制进行了探讨,并对该区稳定性进行了评价。结果表明:①谭家湾滑坡属于不规则"圈椅形"中型松散层的水库下降型滑坡,滑坡区的地表形态、地质构造及岩性等因素决定了滑坡的形成和发育,库水位和降雨的共同作用激励了滑坡的变形;②滑坡根据时序共分为3级滑体,总体呈现多次、多层、相互影响的演化特点,第三级滑体具有牵引式特征;③滑坡体内地下水位随库水位下降而下降,但下降速率缓于库水位,随之坡体内水力梯度和渗透力显著变大,此时碰到强降雨,将会导致坡体地下水赋存,岩土体软化,加剧滑坡变形,须施加必要的防护措施。④稳定性分析表明,该滑坡现处于临界稳定状态,一旦发生降雨和库水位变化,局部段可能发生失稳滑动。      

Simulation study of the void space gas effect on slope instability triggered by an earthquake

This study aims at exploring the void space gas effect of earthquake-triggered slope instability and providing a new method for studying the formation mechanism of earthquake-triggered landslides. We analysed the basic characteristics, kinematic characteristics, initiation mechanisms and physical mechanical parameters of the Daguangbao landslide, generalized a landslide prototype, and established a geological model and performed simulation tests. Based on the seismic wave propagation theory of rock-soil mass, rock fracture mechanics and the effective stress principle, we found that the void space gas effect is due to the occurrence of excess void space gas pressure when the dynamic response of seismic loads impacts the void space gas in weak intercalated layers of the slope. The excess void space gas pressure generated by the vibration(earthquake) damages the rock mass around the void space with a certain regularity. The model test results show that the effective shear strength of the rock mass can be reduced by 4.4% to 21.6% due to the void space gas effect.     

基于滑面分区段力学模型的高速滑坡运动过程能量转化研究

高速滑坡具有运动速度快、波及范围广的灾害特征, 因此对滑坡启动、加速和静止整个运动过程进行研究很有必要。基于滑面力学特性将滑面分为弹性介质区和应变弱化区, 构建了高速滑坡二维力学模型, 提出了滑坡启动动能计算公式和滑坡运动过程的能量计算公式; 以千将坪滑坡为例, 采用启动动能计算公式得出滑坡的启动速度为2.35 m/s; 依据滑面形态将其运动轨迹划分为快速加速、平稳加速、平稳减速、急剧减速4个阶段, 进行运动过程分析, 得出滑坡最大速度为16.8 m/s, 以滑坡前缘高程所在平面为势能基准面, 分析不同能量与总能量占比的变化情况, 在滑坡的4个运动阶段中, 动能占比分别为9.1%, 25.6%, 15.1%, 0%;摩擦损耗能量占比分别为: 5.5%, 58.8%, 81.7%, 95.5%;势能占比分别为: 85.2%, 14.2%, 0%, 0%;其他阻力能耗占比分别为: 0.2%, 1.4%, 3.2%, 4.5%。研究结论对高速滑坡致灾机制和风险分析具有重要意义。      

GIS-based Frequency Ratio and Logistic Regression Modelling for Landslide Susceptibility Mapping of Debre Sina Area in Central Ethiopia

Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarpment where landslide problem is frequent due to steep slope, complex geology, rift tectonics, heavy rainfall and seismicity. In order to tackle this problem, preparing a landslide susceptibility map is very important. For this, GISbased frequency ratio(FR) and logistic regression(LR) models have been applied using landslide inventory and the nine landslide factors(i.e. lithology, land use, distance from river fault, slope, aspect, elevation, curvature and annual rainfall). Database construction, weighting each factor classes or factors, preparing susceptibility map and validation were the major steps to be undertaken. Both models require a rasterized landslide inventory and landslide factor maps. The former was classified into training and validation landslides. Using FR model, weights for each factor classes were calculated and assigned so that all the weighted factor maps can be added to produce a landslide susceptibility map. In the case of LR model, the entire study area is firstly divided into landslide and non-landslide areas using the training landslides. Then, these areas are changed into landslide and non-landslide points so as to extract the FR maps of the nine landslide factors. Then a linear relationship is established between training landslides and landslide factors in SPSS. Based on this relationship, the final landslide susceptibility map is prepared using LR equation. The success-rate and prediction-rate of FR model were 74.8% and 73.5%, while in case of LR model these were 75.7% and 74.5% respectively. A close similarity in the prediction and validation rates showed that the model is acceptable. Accuracy of LR model is slightly better in predicting the landslide susceptibility of the area compared to FR model.     

Dynamic process simulation with a Savage-Hutter type model for the intrusion of landslide into river

Natural damming of rivers by mass movements is a very common and potentially dangerous phenomena which has been documented all over the world. In this paper, a two-layer model of Savage-Hutter type is presented to simulate the dynamic procedure for the intrusion of landslide into rivers. The two-layer shallow water system is derived by depth averaging the incompressible Navier-Stokes equations with the hydrostatic assumption. A high order accuracy scheme based on the finite volume method is proposed to solve the presented model equations. Several numerical tests are performed to verify the realiability and feasibility of the proposed model. The numerical results indicate that the proposed method can be competent for simulating the dynamic process of landslide intrusion into the river. The interaction effect between both layers has a significant impact on the landslide movement, water fluctuation and wave propagation.     

呷爬滑坡滑带土蠕变特性及其稳定性

水库滑坡变形破坏受其岩土体蠕变特性及环境因素的影响。当滑坡进入加速变形阶段后,变形骤然增大,失稳概率增加。为了研究滑坡岩土体蠕变特性及其稳定性,选取锦屏一级水电站呷爬滑坡为研究对象,采用坡表位移监测曲线分析与室内三轴蠕变试验相结合的方法,建立了Burgers蠕变模型结合FLAC3D软件进行了滑坡稳定性研究。分析坡表位移-时间曲线发现,坡体变形特征与一般滑坡土体的蠕变特征具有相似性,滑带土室内三轴蠕变试验结果表明,滑带土变形可划分为瞬时蠕变、减速蠕变与稳定蠕变3个阶段,同时其瞬时变形量、稳定蠕变速率均随围压以及应力水平的增大而增大。基于滑带土蠕变特性的Burgers蠕变模型的计算结果,对比了常规强度折减法与考虑蠕变的强度折减法的滑坡稳定性系数,计算结果表明呷爬滑坡目前处于稳定状态,在一个计算周期内考虑蠕变的强度折减法较常规强度折减法的稳定性系数下降了0.04,因此,揭示滑坡土体蠕变特性并在此基础上研究其稳定性具有实际意义。      

滑坡图像自动识别浅议

识别滑坡须先了解什么是滑坡,广义滑坡包括崩塌、滑坡、碎屑流、泥石流等所有斜坡重力侵蚀现象;狭义滑坡指部分斜坡沿着斜坡内的一个或数个面在重力的作用下作剪切运动的现象。各类滑坡有自已特殊的地表形态特征,发育的基本地质环境条件和触发因素,据这些特征识别滑坡。利用数字滑坡技术进行滑坡识别大致分为2步:(1)通过RS和GIS技术将不同时间的调查区地物现场以不同分辨率展现在数字图像上,并与地理控制及地质环境信息配准、组合,建立解译基础;(2)在滑坡地学理论指导下,通过人机交互方式进行解译和时空分析,获取减灾防灾需要的信息。该方法尚未达到遥感自动识别滑坡的程度,但建立解译基础的过程已可由计算机通过多种程序软件完成,故认为滑坡模式识别的前2个步骤:数字化及预处理已由计算机实现。现需探索的是用计算机实现基于滑坡地学理论知识,以人机交互方式进行的滑坡识别及分析过程。就狭义滑坡而言,基于DEM的滑坡地形识别已可由计算机实现。如能确定地面滑坡壁及滑体与地下滑面、滑床的关系,了解它们的光谱特征并建立计算模型,便可构建遥感技术的滑坡模式识别。     

The starting mechanism and movement process of the coseismic rockslide: A case study of the Laoyingyan rockslide induced by the “5.12” Wenchuan earthquake

The"5.12"Wenchuan earthquake in 2008 triggered a large number of co-seismic landslides.The rear boundary or cracks of co-seismic landslide are generally located at the steep free surface of thin or thick mountains.Dynamic process of this kind of landslides could be divided into two parts:the seismic dynamic response of the slope and the movement process of rock mass.Taking the Laoyingyan rockslide as an example,the amplification effect was studied by single-degree-of-freedom system analysis method.Besides,the dynamic process of landslide under seismic loading was simulated by the finite difference method(FDM)and discrete element method(DEM).The amplification coefficient of the rockslide to seismic wave is 1.25.The results show that the critical sliding surface of the Laoyingyan rockslide was formed at the 23 th seconds under the action of seismic wave.At the same time,tension failure occurred at the rear edge of the sliding mass and shear failure occurred at the front edge.The maximum displacement was 0.81 m and the initial velocity was 2.78 m/s.During the initiation process of the rockslide,the rock mass firstly broke down along the joints which are along the dip of the rock stratum,and then collapsed bodily along the secondary structural planes.In the process of movement,the maximum velocity of rock mass was 38.24 m/s.After that,the rock mass underwent multiple collisions,including contact,deceleration to 0 and speed recovery after rebound.Finally,due to the constant loss of energy,the rocks stopped and accumulated loosely at the foot of the slope.The longest distance of movement was about 494 m.Besides,the smaller the damping ratio,the farther the rock mass moved.Compared with the results without considering the amplification factor,the movement distance of landslide by considering the amplification factor was more accurate.The study of the Laoyingyan rockslide is helpful to strengthen our field identification of potential co-seismic rockslides.At the same time,understanding its movement and accumulation process can help us better predict the hazard scope of the co-seismic rockslides,and provide a reference for the design of treatment projects.     

胶东地区蚀变岩型与石英脉型金矿的空间分布关系及形成机制

胶东地区主要金矿类型可分为蚀变岩型和石英脉型2个大类。两者在空间分布上存在着以下关系：矿床具有水平分带,即沿成矿的主构造带以蚀变岩型为主,远离主构造带以石英脉型为主。矿体具有垂直分带,即上有石英脉型金矿,下有蚀变岩型金矿,走向上的分带,即矿体的一段为石英脉型金矿,另一段为蚀变岩型金矿或以复合关系产出。上述认识可用于指导金矿勘查工作。     

基于机器学习的滑坡易发性预测建模及其主控因子识别

不同机器学习预测滑坡易发性的建模过程及其不确定性有所差异, 另外如何有效识别滑坡易发性的主控因子意义重大。针对上述问题, 以支持向量机(support vector machine, 简称SVM)和随机森林(random forest, 简称RF)为例探讨了基于机器学习的滑坡易发性预测及其不确定性, 创新地提出了"权重均值法"来综合计算出更准确的滑坡主控因子。首先获取陕西省延长县滑坡编录和10类基础环境因子, 将因子频率比值作为SVM和RF的输入变量; 再将滑坡与随机选择的非滑坡样本划分为训练集和测试集, 用训练好的机器学习预测出滑坡易发性并制图; 最后用受试者工作曲线、均值和标准差等来评估建模不确定性, 并计算滑坡主控因子。结果表明: ①机器学习能有效预测出区域滑坡易发性, RF预测的滑坡易发性精度高于SVM, 而其不确定性低于SVM, 但两者的易发性分布规律整体相似; ②权重均值法计算出延长县滑坡主控因子依次是坡度、高程和岩性。实例分析和文献综述显示RF模型相较于其他机器学习模型属于可靠性较高的易发性模型。      

Landslide distribution and sliding mode control along the Anninghe fault zone at the eastern edge of the Tibetan Plateau

Tibetan Plateau is known as the roof of the world. Due to the continuous uplift of the Tibetan Plateau, many active fault zones are present. These active fault zones such as the Anninghe fault zone have a significant influence on the formation of special geomorphology and the distribution of geological hazards at the eastern edge of the Tibetan Plateau. The Anninghe fault zone is a key part of the Y-shaped fault pattern in the Sichuan-Yunnan block of China. In this paper, high-resolution topographic data, multitemporal remote sensing images, numerical calculations, seismic records, and comprehensive field investigations were employed to study the landslide distribution along the active part of the Anninghe. The influence of active faults on the lithology, rock mass structures and slope stress fields were also studied. The results show that the faults within the Anninghe fault zone have damaged the structure and integrity of the slope rock mass, reduced the mechanical strength of the rock mass and controlled the slope failure modes. The faults have also controlled the stress field, the distribution of the plastic strain zone and the maximum shear strain zone of the slope, thus have promoted the formation and evolution of landslides. We find that the studied landslides are linearly distributed along the Anninghe fault zone, and more than 80% of these landslides are within 2-3 km of the fault rupture zone. Moreover, the Anninghe fault zone provides abundant substance for landslides or debris flows. This paper presents four types of sliding mode control of the Anninghe fault zone, e.g., constituting the whole landslide body, controlling the lateral boundary of the landslide, controlling the crown of the landslide, and constituting the toe of the landslide. The results presented merit close attention as a valuable reference source for local infrastructure planning and engineering projects.     

陕南山地滑坡和泥石流分布特征及其相关性

滑坡和泥石流是陕南山地成灾的主要物理地质现象。本文根据野外调查资料和前人研究成果,从地质、地貌、水文工程地质特征、水文气象、人为因素诸方面,简要的分析了陕南山地滑坡、泥石流形成条件、区域分布规律滑坡对泥石流形成的影响和滑坡转化成泥石流的辩证关系。     

基于滑坡灾害预警分级的应急处置措施

滑坡灾害应急处置能力是地质灾害减灾防灾的重要方面。目前,基于滑坡灾害预测和预警分级成果,系统性的应急措施分类研究还鲜有展开,因此,以三峡库区白水河滑坡为例,运用时间序列加法模型将滑坡累计位移分解为趋势项位移与周期项位移,并分别应用多项式拟合及自回归（AR）模型对2个分量进行预测,在此结果上采用聚类分析方法将滑坡变形分为匀速变形与加速变形阶段,综合判断滑坡灾害预警等级,开展了针对滑坡预警分级的应急措施研究。结果表明:白水河滑坡预警等级主要为蓝色和黄色2种类型,对处于不同的预警等级下的滑坡,可根据滑坡变形特征快速决策,基于滑坡灾害预测和预警分级结果能更有效地指导滑坡应急处置。      

大奔流顺层岩质滑坡溃屈型破坏力学机制研究

溃屈型破坏是顺层岩质边坡一种常见的破坏模式。以大奔流顺层岩质滑坡为例，分析了其溃屈型破坏的形成机制，绿泥石片岩层面发育程度和层面抗剪强度及岩石破碎程度是大奔流滑坡发生的主要地质因素，爆破震动荷载和地下水作用是发生溃屈型破坏的主要诱发因素。基于弹性板梁稳定理论和能量平衡原理，建立了顺层岩质滑坡溃屈型破坏力学模型；通过力学分析，提出了综合考虑滑坡自重、地下水与震动荷载作用的顺层岩质滑坡溃屈段长度条件方程。以大奔流滑坡为实例进行了验算，计算结果和现场破坏特征基本一致，表明了该方法的可行性，为研究顺层岩质滑坡溃屈型破坏的力学机制提供了依据。      

论基岩滑坡的临床聚能与启程弹冲

剧动式高速滑坡是一种大量存在于自然界中的地质灾害。本文以广家崖斜坡危岩体为例,对基岩滑坡的“临床聚能”和“启程弹冲加速效应”进行了理论分析和探讨。文中详细论证了斜坡岩体滑落破坏时所具有的“启程弹冲加速效应”,并提出了二维应力状态下的启程冲速度计算公式。 启程弹冲机理,主要是锁固段岩体内聚力作用和岩体聚集赋存弹性应变能释放的反应,弹冲速度与内聚力的大小有直接关系。岩体一旦剪断破坏,弹性应变能骤然释放,岩体表现出剧烈的弹性回冲,弹性应变能便瞬间转化为岩体滑动的弹冲动能。这便从理论上对高速滑坡提出了具有实际意义的新机理。     

Landslide inventory and susceptibility modelling using geospatial tools,in Hunza-Nagar valley,northern Pakistan

A comprehensive landslide inventory and susceptibility maps are prerequisite for developing and implementing landslide mitigation strategies. Landslide susceptibility maps for the landslides prone regions in northern Pakistan are rarely available. The Hunza-Nagar valley in northern Pakistan is known for its frequent and devastating landslides. In this paper, we have developed a landslide inventory map for Hunza-Nagar valley by using the visual interpretation of the SPOT-5 satellite imagery and mapped a total of 172 landslides. The landslide inventory was subsequently divided into modelling and validation data sets. For the development of landslide susceptibility map seven discrete landslide causative factors were correlated with the landslide inventory map using weight of evidence and frequency ratio statistical models. Four different models of conditional independence were used for the selection of landslide causative factors. The produced landslides susceptibility maps were validated by the success rate and area under curves criteria. The prediction power of the models was also validated with the prediction rate curve. The validation results shows that the success rate curves of the weight of evidence and the frequency models are 82% and 79%, respectively. The prediction accuracy results obtained from this study are 84% for weight of evidence model and 80% for the frequency ratio model. Finally, the landslide susceptibility index maps were classified into five different varying susceptibility zones. The validation and prediction result indicates that the weight of evidence and frequency ratio model are reliable to produce an accurate landslide susceptibility map, which may be helpful for landslides management strategies.     

天然气机理类型及其分布

从天然气成因机理和成藏机理两个方面对天然气类型进行划分,天然气成因机理分为有机成因气和无机成因气;天然气成藏机理分为煤层气、页岩气、水溶气、根缘气(深盆气)、常规气以及气体水合物等。在天然气分类基础上,认为天然气在运聚过程中存在天然气成因机理和成藏机理两种序列关系,不同的天然气机理类型之间存在着过渡关系,两种机理分类不是孤立的而是相互联系的,具体运用到前陆盆地与裂谷盆地中,提出了前陆盆地与裂谷盆地的气藏可能分布模式。     

广西岩石可钻性分级研究初探

岩石可钻性的合理分级,是正确选择钻进方法、技术参数、钻头类型和制定合理的生产与物化定额、专核钻探生产技术与经济指标的科学依据。利用与岩石可钻性密切相关的物理力学性质—压入、摆球硬度、研磨性、塑性系统与声学特性为自变量,以微钻钻速为因变量,在计算机上进行一元和多元回归分析,建立其数学模型,以此将不同岩石划分为12级。这种方法具有较强的模拟性、代表性和较大的适用范围。