地震重灾区九寨沟黄木山滑坡稳定性分析及其防治对策

针对地震灾区九寨沟黄木山滑坡工程,分析了滑坡的岩土体特征,滑坡原因及其稳定性,简要的介绍了该工程的滑坡防治方案。     

TDR技术在石油天然气长输管道滑坡监测中的应用研究

随着我国西南山区石油天然气常输管道的大规模建设,各类边坡问题将会层出不穷,滑坡检测将成为管道运营检测的重要组成部分。文中对实际滑坡治理工程中的TDR监测成果进行分析,将其与传统的监测手段对比,总结TDR技术在滑坡监测实际应用中的优缺点。同时,提出了TDR技术与长输管道自动化监视和控制体系-SCADA系统相结合的理念,可通过SCADA系统克服TDR技术绝大部分的缺点,在石油天然气常输管道滑坡检测中有着十分广阔的应用前景。     

基于遥感解译的西吉县黄土地震滑坡分布特征研究

1920年海原8.5级大地震在位于Ⅸ、Ⅹ度区的西吉县境内诱发了大量的群发性黄土地震滑坡,造成了惨重的人员伤亡和严重的生态破坏。本文在野外调查的基础上,运用Google Earth影像解译手段对研究区内的314处滑坡进行总结研究。总结了研究区地震滑坡的分布特征,并对滑坡形成的主要影响因素进行分析。根据本文的研究成果,对宁南山区的工程选址、建设开挖及防灾减灾工作提出几点参考建议。     

基于高精度DEM和RS技术的滑坡环境指标参数快速提取方法——以陕西省宝鸡市金台区长乐塬特大型滑坡为例

DEM和RS技术是研究滑坡地质灾害的重要资料和手段。近年来,随着高空间分辨率遥感卫星和高精度雷达卫星的上天,可以获取现时性高精度的DEM,使滑坡地质灾害的研究由二维向三维提升。利用IRS-P5数据生成的5m精度的DEM,借鉴GOOGLE的三维可视性原理,将其和高空间分辨率QuickBird(0.61m)数据叠置到数字地球之上,制作成三维可视性图像,进行滑坡环境指标参数提取方法研究。研究结果表明,该方法可直接读取滑坡环境指标的三维参数,具有客观、准确、快速的特点,可为滑坡灾害评估和区域地质灾害危险性评价提供定量化资料。     

基于危险度区划的县级区域降雨引发滑坡的风险预警方法——以四川省米易县降雨滑坡为例

降雨滑坡预警在世界上开展广泛,但对小区域的降雨滑坡风险进行预警尚不多见。以通用的风险定义为基础,首先对目标区域——四川省米易县的地质灾害进行调查,以典型滑坡进行反演,获得灾害的本底因素,按贡献率权重叠加法进行危险度分区;通过对承灾体的调查确定承灾对象,并将各承灾对象按密度由行政界限向1km×1km的网格单元转化后叠加形成易损度分区。二者相乘完成风险分区。对研究区域近5年逐日降雨数据与172条地质灾害记录进行分析,按前期日降雨量模型得到降雨阈值,根据滑坡空间概率和降雨引发滑坡的时间概率叠加的结果,得到研究区域的降雨滑坡概率,对照风险分区,完成风险预警。     

南海北部外陆架和上陆坡海底滑坡稳定性研究

海洋工程地质调查发现，在南海北部外陆架和上陆坡海底，有大片滑坡，其水深范围约在１８０－６５０ｍ之间，它们沿着陆架外缘坡折处呈北东－南西方向分布，其具体位置往往与古三角洲前缘的海底陡坎及古海岸线位置密切相关，大量浅层地震，旁侧声纳，底质取样分析和土体力学理论计算表明，本区滑坡主要是由于地形坡度，沉积物特性，土体自身重力，它们是区内海底很不稳定的地带，是一种重要的地灾害因素，在海洋工程地质设计和实施时     

南海北部深水区新生代岩浆岩分布规律及其与海底地质灾害的相关性

前人对南海北部新生代陆缘盆地结构、构造样式和期次等做了大量的研究工作,但对于具体体现内动力过程的岩浆活动关注较少,尤其是北部深水区的研究鲜有涉及。本文基于二维地震剖面的解译分析,将南海北部新生代岩浆岩划分为3个集中分布区:琼东南-西沙区、神狐区和东沙区。各区域岩浆岩的产出状态有所差异,其中琼东南-西沙区岩浆岩的平面展布规律性极强,主要受右行右阶的走滑断裂控制;神狐区岩浆岩位于NW向与NE向断裂的交汇处,侵位空间受先存断裂制约;东沙区岩浆岩的产生与东沙运动期间区域伸展过程有直接关系。作为内动力的表征,岩浆作用对于海底地形地貌具有重要的改造作用,与活动断裂、海底滑坡、浅层气等海底地质灾害也具有成因上的关联。     

涡激振动实验中的流速增大装置研发与性能研究

拖曳水池中进行立管涡激振动实验时,为了保证采样时间长度,难以达到较高的Re数。流速增大装置可以在不提高拖车车速的情况下增大立管外的流速。利用这种流速增大装置还可实现流速分层流场中细长柔性立管涡激振动实验。经过对流速增大装置中的进流段曲线进行优选,发现Witozinsky曲线的总体性能最好。在对流速增大装置进行水池实验和数值模拟后,发现流速增大区域的流速增大倍数接近进流段收缩比,流速增大区域流场比较稳定、均匀,流速增大装置对其外的流场影响很小。此流速增大装置不但可应用于拖曳水池中的立管涡激振动实验,还可以应用于对流速要求较高的水下航行体的水池试验,如鱼雷、水下机器人等。     

Numerical benchmark studies on drag and lift coefficients of a marine riser at high Reynolds numbers

Numerical benchmark studies on drag and lift coefficients of a marine riser have been organized by the 27th ITTC Ocean Engineering Committee. The purpose of the studies was to benchmark the capabilities of CFD methods through quantitative comparisons and validation studies against the model test results of a circular cylinder by MARIN. Studies were focused on the drag crisis phenomenon for the stationary smooth cylinder in the critical Reynolds number regime. Eight organizations have participated in the studies by using RANS, DES and LES methods. An overview of the model test results, test cases, submissions and comparison results are presented in this paper. Conclusions and recommendations are made for future studies.     

Application of a multi‐temporal,LiDAR‐derived,digital terrain model in a landslide‐volume estimation

Sediments produced by landslides are crucial in the sediment yield of a catchment, debris flow forecasting, and related hazard assessment. On a regional scale, however, it is difficult and time consuming to measure the volumes of such sediment. This paper uses a LiDAR‐derived digital terrain model (DTM) taken in 2005 and 2010 (at 2 m resolution) to accurately obtain landslide‐induced sediment volumes that resulted from a single catastrophic typhoon event in a heavily forested mountainous area of Taiwan. The landslides induced by Typhoon Morakot are mapped by comparison of 25 cm resolution aerial photographs taken before and after the typhoon in an 83.6 km² study area. Each landslide volume is calculated by subtraction of the 2005 DTM from the 2010 DTM, and the scaling relationship between landslide area and its volume are further regressed. The relationship between volume and area are also determined for all the disturbed areas (V_L = 0.452A_L^1.242) and for the crown areas of the landslides (V_L = 2.510A_L^1.206). The uncertainty in estimated volume caused by use of the LiDAR DTMs is discussed, and the error in absolute volume estimation for landslides with an area >10⁵ m² is within 20%. The volume–area relationship obtained in this study is also validated in 11 small to medium‐sized catchments located outside the study area, and there is good agreement between the calculation from DTMs and the regression formula. By comparison of debris volumes estimated in this study with previous work, it is found that a wider volume variation exists that is directly proportional to the landslide area, especially under a higher scaling exponent. Copyright © 2013 John Wiley & Sons, Ltd.