基于深度学习的滑坡灾害易发性分析

滑坡灾害成因机理复杂、影响因素众多,深度学习作为当前人工智能领域的热点,能够更好地模拟滑坡灾害的形成并准确预测潜在的斜坡。为了挖掘深度学习在滑坡易发性的应用潜能,本文构建了一维、二维和三维的滑坡数据表达形式,并提出3种基于卷积神经网络模型（Convolutional Neural Networks, CNN）的滑坡易发性分析处理框架：基于CNN分类器、基于CNN与逻辑回归的融合和基于CNN集成,最后以江西省铅山县为研究对象进行验证,结果表明：所有基于CNN的易发性模型都能够获得准确且可靠的滑坡易发性分析结果。其中,基于二维数据的CNN模型在所有单分类器中预测精度最高,为78.95%。此外,二维CNN特征提取能够显著提升逻辑回归的预测精度,其准确率提升7.9%。最后,异质集成策略能够大幅度提升基于CNN分类器的滑坡预测精度,其准确率提升4.35%~8.78%。     

Causes of rockfalls in Al-Huwayshah area, Yemen

According to topography of Yemen, most areas and villages are located at obligated crest, toe of mountain and under cliffs. Therefore Al-Huwayshah consisting of Tawilah sandstone group is characterized by steep slope reach to 90° in some areas. This area is affected by strong tectonic movements and faults that occurred during the geological epochs. This effect enhances to find out fractures and joints as well as the rocks become brittle and ready to slide depending on the position of area. And there are some fractures and joints on the surface of the areas due to tectonic movement associated with opening the Red Sea and Gulf of Aden. The rainfalls, fractures, joints, earthquakes, gravity, vegetations, temperatures and human activities play a big role in the processes of rockfalls and landslides in this area. All those factors are considered as the basic causes and catalyzed factors for occurrence of rockfall in the studide area. In addition, the authors carried out laboratory test for many rock samples to get the physical properties of the rocks.     

Geomechanics of hazardous landslides

A catalogue of possible landslide initial failure mechanisms, taking into account the geological setting and the geometry of the slope, the joint structure, the habitus of the rock blocks, as well as the mechanical behaviour of the rocks and of the rock mass （deformation and strength parameters）, is presented. Its aim is to give geologists as well as engineers the opportunity to compare phenomena in the field and phenomena belonging to particular mechanisms and to find the mechanism occurring. The presented catalogue of initial landslide mechanisms only comprises the mechanisms having a clearly defined mechanical model that can be divided into empirical relations and into mechanical models, as well as an overview of run out models, which can be divided into empirical relations and into mechanical models.     

基于多因子及泰勒级数的滑坡变形预测模型研究

将滑坡的变形看作时间、月降雨量、气温的函数,使用泰勒级数建立它们的函数关系,并将泰勒级数展开至二次项,建立卡尔曼滤波模型,用于滑坡变形的预测预报。实例计算表明,卡尔曼滤波模型的拟合效果和预测效果良好,可用于土质滑坡变形的短期预测预报。     

基于TLS的滑坡形变分析方法研究

以四川理县一地质滑坡为例,分析扫描点空间位置的理论精度,探讨点云数据获取以及点云过滤、点云拼接、地理参考等数据预处理的关键技术,给出一套比较直观、全面的滑坡形变分析方法,包括基于点云比较的形变分析、基于TIN比较的形变分析、基于特征点的形变分析以及基于DEM的形变分析。为了充分利用非地面点云数据,提出一种提取滑坡区域电线杆、树干的几何特征来分析滑坡水平变化的新方法。通过分析得到的滑坡形变量与GNSS远程实时监测结果基本一致。     

某滑坡稳定分析及处理方案探讨

滑坡属于不良地质现象,是斜坡上的部分岩体和土体在自然或人为因素的影响下沿某一明显的界面发生剪切破坏向坡下运动的现象。当高速公路不得不通过某一滑坡时,对其稳定性进行分析和整治设计就显得尤为重要。以祁临高速公路灵石至霍州段窑深沟大桥东南窑深沟滑坡为实例,根据勘察资料,利用岩土力学知识,在公路修好后并运行的情况下,计算出了其稳定系数和推滑力,又以材料力学、结构力学等力学理论为基础,设计出抗滑桩和锚索抗滑桩等两种整治方案,经验证,效果良好。     

内宜高速公路滑坡治理浅析

介绍了内宜高速公路K40＋300-K40＋398段滑坡治理方案、施工工艺及遇到问题的处理方案。在滑坡治理中采用了重力式挡墙、锚索施工、格构梁浇注及生物治理工程、农灌区防渗等工程形式．     

论滑坡学

滑坡学可分为理论滑坡学和应用滑坡学．前者的分支有：滑坡发生学、滑坡运动学、滑坡组构学、滑坡形态学、滑坡断代－周期学、滑坡分类学、滑坡分布学、滑坡制图学、滑坡编目学和滑坡数据库系统等．应用滑坡学含滑坡研究方法论、技术手段和滑坡防御工程等．     

水利工程震害中土工结构低应力破坏实例分析

实际工程活动与低应力下土石料工程性质密切相关。总结了与低应力条件相关的工程活动,在总结分析以往地震中堤防和坝体滑坡案例的基础上,指出滑坡深度通常小于7 m,其上覆有效应力大多小于100 kPa。在对106组地震液化数据资料分析的基础上,指出地基液化大多发生在上覆有效应力低于100 kPa的低应力条件下。在目前的研究中,通常只关注中、高应力条件下土石料的工程性质。在应用中低应力区的土石料计算参数取值通常与中、高应力条件下获得的强度和变形参数一致,而高、低应力条件下土石料的强度和变形特性是不同的,这种计算参数取值方法的适用性存在疑虑。因此,研究低应力条件下土石料的工程性质,探讨数值计算中低应力条件下土石料计算参数的取值方法,具有重要的工程意义和科学价值。     

Elevated marine deposits in Bermuda record a late Quaternary megatsunami

Deposits of coral-bearing, marine shell conglomerate exposed at elevations higher than 20 m above present-day mean sea level (MSL) in Bermuda and the Bahamas have previously been interpreted as relict intertidal deposits formed during marine isotope stage (MIS) 11, ca. 360–420 ka before present. On the strength of this evidence, a sea level highstand more than 20 m higher than present-day MSL was inferred for the MIS 11 interglacial, despite a lack of clear supporting evidence in the oxygen-isotope records of deep-sea sediment cores. We have critically re-examined the elevated marine deposits in Bermuda, and find their geological setting, sedimentary relations, and microfaunal assemblages to be inconsistent with intertidal deposition over an extended period. Rather, these deposits, which comprise a poorly sorted mixture of reef, lagoon and shoreline sediments, appear to have been carried tens of meters inside karst caves, presumably by large waves, at some time earlier than ca. 310–360 ka before present (MIS 9–11). We hypothesize that these deposits are the result of a large tsunami during the mid-Pleistocene, in which Bermuda was impacted by a wave set that carried sediments from the surrounding reef platform and nearshore waters over the eolianite atoll. Likely causes for such a megatsunami are the flank collapse of an Atlantic island volcano, such as the roughly synchronous Julan or Orotava submarine landslides in the Canary Islands, or a giant submarine landslide on the Atlantic continental margin.