Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment

The objective of this paper is to evaluate the importance of geomorphological expert knowledge in the generation of landslide susceptibility maps, using GIS supported indirect bivariate statistical analysis. For a test area in the Alpago region in Italy a dataset was generated at scale 1:5,000. Detailed geomorphological maps were generated, with legends at different levels of complexity. Other factor maps, that were considered relevant for the assessment of landslide susceptibility, were also collected, such as lithology, structural geology, surficial materials, slope classes, land use, distance from streams, roads and houses. The weights of evidence method was used to generate statistically derived weights for all classes of the factor maps. On the basis of these weights, the most relevant maps were selected for the combination into landslide susceptibility maps. Six different combinations of factor maps were evaluated, with varying geomorphological input. Success rates were used to classify the weight maps into three qualitative landslide susceptibility classes. The resulting six maps were compared with a direct susceptibility map, which was made by direct assignment of susceptibility classes in the field. The analysis indicated that the use of detailed geomorphological information in the bivariate statistical analysis raised the overall accuracy of the final susceptibility map considerably. However, even with the use of a detailed geomorphological factor map, the difference with the separately prepared direct susceptibility map is still significant, due to the generalisations that are inherent to the bivariate statistical analysis technique.     

Modeling the sediment yield from landslides in the Shihmen Reservoir watershed,Taiwan

Landslides generate enormous volumes of sediment in mountainous watersheds; however, quantifying the downstream transport of landslide‐derived sediment remains a challenge. Landslide erosion and sediment delivery to the Shihmen Reservoir watershed in Taiwan was estimated using empirical landslide frequency–area and volume–area relationships, empirical landslide runout models, and the Hydrological Simulation Program‐ FORTRAN (HSPF). Landslide erosion rates ranged from 0.4 mm yr^‐1 to 2.2 mm yr^‐1 during the period 1986–2003, but increased to 7.9 mm yr^‐1 following Typhoon Aere in 2004. The percentage of landslide sediment delivered to streams decreased from 78% during the period 1986–1997 to 55% in 2004. Although the delivery ratio was lower, the volume of landslide sediment delivered to streams was 2.81 × 10⁶ Mg yr^‐1 in 1986–1997 and 8.60 × 10⁶ Mg yr^‐1 in 2004. Model simulations indicate that only a small proportion of the landslide material was delivered downstream. An average of 13% of the landslide material delivered to rivers was moved downstream during the period 1986–1997. In 2004, the period including Typhoon Aere, the annual fluvial sediment yield accounted for approximately 23% of the landslide material delivered to streams. In general, the transfer of sediment in the fluvial system in the Shihmen Reservoir watershed is dominantly transport limited. The imbalance between sediment supply and transport capacity has resulted in a considerable quantity of landslide material remaining in the upper‐stream regions of the watershed. Copyright © 2012 John Wiley & Sons, Ltd.     

多工况下汉源二蛮山滑坡机理数值模拟

利用FLAC3D软件对四川省雅安市汉源县二蛮山滑坡坡体进行建模,模拟降雨滑坡过程,并进行应力应变特征及稳定性计算分析,从而为深入研究地震及降雨诱发再次滑坡及防灾减灾提供可靠依据。研究中假设地震工况,对边坡进行详细的动力分析,得到了各监测点动力特征曲线;通过降雨工况下坡体稳定性系数分析得到了不同强度折减安全系数。研究结果表明,滑源区相对特殊的地形条件和地质构造以及不利的结构面组合是滑坡的基础;前期强降雨期间饱水加载以及大量雨水沿斜沟张裂结构面的下渗软化作用,是诱发滑坡发生的关键因素。      

数字滑坡技术及其应用

“数字滑坡”技术,就是以遥感（RS）和空间定位方法为主,结合其他勘探、试验、调查手段获取数字形式的、与地理坐标配准的滑坡基本信息;并利用GIS技术存贮和管理这些数字信息;在此基础上,根据滑坡地学原理进行空间分析,研制各类模型,并服务于滑坡调查、监测、研究、滑坡灾害评价、危险预测、灾情评估、滑坡防治等。通过金龙山三维数字模型,卫星监测易贡滑坡、三峡库区重点城镇滑坡及千将坪滑坡等地的遥感调查说明数字滑坡技术的实际应用。     

黄土剖面中赤铁矿和针铁矿的定量分析与气候干湿变化研究

为了了解黄土剖面中赤铁矿和针铁矿的分布特征,文章采用对铁氧化物矿物灵敏的漫反射光谱法(DRS),开展了赤铁矿和针铁矿的鉴定和测定研究,提出了定量分析赤铁矿和针铁矿含量的DRS新方法.选择天然典型黄土和古土壤样品,首先采用柠檬酸盐-重碳酸盐-连二亚硫酸盐(CBD)方法去除其中成壤成因的铁氧化物矿物,以其为基体配制含不同赤铁矿和针铁矿的系列标样,然后进行DRS测试和多元逐步回归分析,分别建立测定赤铁矿和针铁矿含量的校准方程并加以检验.利用DRS方法,分析了多个黄土剖面的赤铁矿和针铁矿含量,发现黄土-古土壤剖面的赤铁矿/针铁矿比值可作为东亚季风干/湿变化的敏感指标.该比值较高时反映了干燥土壤环境,而较低时指示了潮湿土壤环境.对灵台和洛川剖面中赤铁矿/针铁矿比值的分析,初步揭示了2.6Ma年以来黄土高原东亚季风阶段性变强的特征.     

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。     

重庆市滑坡灾害时空特征分析

重庆市是滑坡灾害高发的城市,滑坡灾害每年都会造成大量的人员伤亡和经济损失。本文结合历年滑坡统计资料,基于GIS平台,分析重庆市滑坡灾害的时空分布特征。自1980年起,重庆发生滑坡的次数明显增加,且集中发生在5~9月,尤其是7月。80%以上的滑坡为降雨引发,其次是自然灾害和人类活动,人类活动诱发滑坡灾害增长速度最快。重庆滑坡密度大的地区为市区以及万州区、忠县等三峡库区核心地带,滑坡高发地区有东北向西南方向变化的趋势。     

黄土高原渭河宝鸡段北岸大型深层滑坡动力学机制研究

为研究渭河盆地黄土塬边大型深层滑坡运动机制,通过对渭河宝鸡段北岸斜坡构造地貌过程解析、滑体地质剖面平衡计算与运动过程的动态数值模拟,结合黏土岩滑动带发育的宏观力学背景、物理结构变化特征与剪切蠕变、滑动力学行为特征研究,确定了渭河北岸大型深层滑坡的几何学、运动学特征,初步揭示了黏土岩质滑带塑性流动挤出的控滑机制。研究表明:①大型深层滑坡的运动变形由后缘向坡脚传递,后缘下降、前缘隆起,整体变形由底部泥岩控制,具有一定的水平位移,是旋转-平移复活式滑坡;②黏土岩滑动带结构损伤形成蠕变变形带,滑动过程中,塑性变形区在滑体下方呈倾斜三角形状,产生塑性流动变形,逆冲向上运动中形成翻卷结构,滑体前缘以流动状态隆起挤出;③黏土岩的塑性流动变形是黏土矿物含量增加、活性增强的结果,滑带土内的粘粒含量(2μm)由初始的17.94%增加到50.22%,蒙脱石的绝对含量从初始的13.19%增加至26.38%,而其比表面积平均由124.55增加至215.08,从而降低滑动带的强度、恶化水理性质,引起滑体剧烈变形,而滑体内赋存的高孔隙水压力可推动滑体滑动。     

滑坡变形空间评价的位移速率比方法研究

实测数据表明,松散土质斜坡和具有时效变形特征的岩质斜坡的滑坡变形往往具有蠕变特点,即从开始出现变形到最终失稳破坏一般需经历初始变形、等速变形和加速变形3个阶段。基于典型的滑坡累积位移-时间曲线特征,提出了采用位移速率比作为通用指标来判定滑坡上各点变形阶段的方法：多个连续时段均为等速变形即相邻位移速率比位于0～2之间时,认为进入等速变形阶段;当位移速率比大于2时,初步认为,其进入加速变形阶段。结合典型实例建立了位移速率比判定滑坡上各点变形阶段的判定标准：在滑坡位移速率比大于2之后,滑坡体进入加速变形阶段,对加速变形阶段可再作进一步细分：位移速率比为2～6时,为滑坡体的初加速阶段,为6～8时,滑坡体进入中加速阶段,大于8则为临滑阶段。基于地理信息系统（Geographic information system,简称GIS）平台,建立了滑坡变形空间评价的位移速率比方法,并对金坪子滑坡的空间变形状态进行了评价,验证了该方法的可行性和合理性。