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1.
Mapping of hazard from rainfall-triggered landslides in developing countries: Examples from Honduras and Micronesia 总被引：5，自引：0，他引：5
Edwin L. Harp Mark E. Reid Jonathan P. McKenna John A. Michael 《Engineering Geology》2009,104(3-4):295-311
Loss of life and property caused by landslides triggered by extreme rainfall events demonstrates the need for landslide-hazard assessment in developing countries where recovery from such events often exceeds the country's resources. Mapping landslide hazards in developing countries where the need for landslide-hazard mitigation is great but the resources are few is a challenging, but not intractable problem. The minimum requirements for constructing a physically based landslide-hazard map from a landslide-triggering storm, using the simple methods we discuss, are: (1) an accurate mapped landslide inventory, (2) a slope map derived from a digital elevation model (DEM) or topographic map, and (3) material strength properties of the slopes involved. Provided that the landslide distribution from a triggering event can be documented and mapped, it is often possible to glean enough topographic and geologic information from existing databases to produce a reliable map that depicts landslide hazards from an extreme event. Most areas of the world have enough topographic information to provide digital elevation models from which to construct slope maps. In the likely event that engineering properties of slope materials are not available, reasonable estimates can be made with detailed field examination by engineering geologists or geotechnical engineers. Resulting landslide hazard maps can be used as tools to guide relocation and redevelopment, or, more likely, temporary relocation efforts during severe storm events such as hurricanes/typhoons to minimize loss of life and property. We illustrate these methods in two case studies of lethal landslides in developing countries: Tegucigalpa, Honduras (during Hurricane Mitch in 1998) and the Chuuk Islands, Micronesia (during Typhoon Chata'an in 2002). 相似文献
2.
A loess landslide induced by excavation and rainfall 总被引：6，自引：1，他引：5
The initiation of loess landslides is a common engineering problem during the construction of the expressway or other engineering works in the Loess Plateau of China. The engineers and researchers should devote themselves to the prevention of the initiation of loess landslides. This study focused on a loess landslide which was induced during the construction of an expressway in Shanxi Province of China. The stabilities of the loess hillside slope before and after excavation were analyzed using limit equilibrium analysis method and the strength reduction finite element method, respectively. The analysis results indicated that the loess hillside slope, before excavation, was stable under both natural state and rainfall conditions. The collapse of the loess hillside slope, or the initiation of loess landslides, after having been excavated, was induced by excavation and rainfall. The integrated stabilization method including four parts was used to stabilize the loess landslide. The four parts were a reinforced concrete piles row, a rubble concrete retaining wall, alteration of slope geometry, and interception and drainage of water. The initiation of the loess landslide might be evitable if it was given enough attention before excavation; thus, the problem of loess landslides should be paid big attention during the survey and design of the engineering works, not only during the construction. 相似文献
3.
Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA 总被引：60，自引：0，他引：60
Landslides in the hilly terrain along the Kansas and Missouri rivers in northeastern Kansas have caused millions of dollars in property damage during the last decade. To address this problem, a statistical method called multiple logistic regression has been used to create a landslide-hazard map for Atchison, Kansas, and surrounding areas. Data included digitized geology, slopes, and landslides, manipulated using ArcView GIS. Logistic regression relates predictor variables to the occurrence or nonoccurrence of landslides within geographic cells and uses the relationship to produce a map showing the probability of future landslides, given local slopes and geologic units. Results indicated that slope is the most important variable for estimating landslide hazard in the study area. Geologic units consisting mostly of shale, siltstone, and sandstone were most susceptible to landslides. Soil type and aspect ratio were considered but excluded from the final analysis because these variables did not significantly add to the predictive power of the logistic regression. Soil types were highly correlated with the geologic units, and no significant relationships existed between landslides and slope aspect. 相似文献
4.
Landslide susceptibility analysis using probabilistic likelihood ratio model—a geospatial-based study 总被引：1，自引：1，他引：0
E. Ramani Sujatha Victor Rajamanickam P. Kumaravel E. Saranathan 《Arabian Journal of Geosciences》2013,6(2):429-440
The crucial and difficult task in landslide susceptibility analysis is estimating the probability of occurrence of future landslides in a study area under a specific set of geomorphic and topographic conditions. This task is addressed with a data-driven probabilistic model using likelihood ratio or frequency ratio and is applied to assess the occurrence of landslides in the Tevankarai Ar sub-watershed, Kodaikkanal, South India. The landslides in the study area are triggered by heavy rainfall. Landslide-related factors—relief, slope, aspect, plan curvature, profile curvature, land use, soil, and topographic wetness index proximity to roads and proximity to lineaments—are considered for the study. A geospatial database of the related landslide factors is constructed using Arcmap in GIS environment. Landslide inventory of the area is produced by detailed field investigation and analysis of the topographical maps. The results are validated using temporal data of known landslide locations. The area under the curve shows that the accuracy of the model is 85.83%. In the reclassified final landslide susceptibility map, 14.48% of the area is critical in nature, falling under the very high hazard zone, and 67.86% of the total validation dataset landslides fall in this zone. This landslide susceptibility map is a vital tool for town planning, land use, and land cover planning and to reduce risks caused by landslides. 相似文献
5.
三峡库区香溪河段典型滑坡变形特征分析 总被引：2，自引：0，他引：2
本文从坡形采集入手,对三峡库区香溪河段蓄水后发生变形的滑坡进行归纳统计。统计表明,近水库岸坡为凸形的滑坡更容易发生变形。对香溪河段典型滑坡进行了长期地表位移监测,获得八字门滑坡和白家包滑坡的变形曲线为台阶状,耿家坪滑坡的变形曲线为脉动形。近库水微地貌为凸岸,滑体物质为老滑坡堆积物的滑坡变形曲线为台阶状,变形具积累性;近库水微地貌为凹岸,滑体物质为崩塌堆积物的滑坡变形曲线为脉动形,变形具“弹性”。 相似文献
6.
黄土高原区地形与植被分布规律对滑坡发生概率的影响 总被引：1，自引：0，他引：1
黄土高原区自然斜坡的地形与植被条件对滑坡的发生有一定的促进和抑制作用。通过将研究区划分为31 418个自然斜坡单元,利用ArcGIS区域统计功能提取斜坡单元的地形和植被参数,分析研究区斜坡的坡体形态和植被空间分布规律。依据区内292处滑坡调查点的资料,统计分析不同坡体形态下的滑坡发生概率。分析结果表明,研究区正向类的凸型和直线型斜坡发生滑坡的概率明显高于负向类的凹型和阶梯型边坡;随着斜坡坡度和坡高增大,发生滑坡的概率增大;阳坡发生滑坡的概率明显高于其他坡向的边坡;随着NDVI增大,滑坡发生概率显著降低。 相似文献
7.
文章利用高分辨率激光粒度仪MS2000对我国典型地区5种沉积类型滑坡的滑带(面)土和滑坡细粒堆积物的粒度多组分分布特征进行了系统、深入研究,总结了不同沉积类型滑坡滑带(面)土与滑坡堆积物的粒度多组分分布特征及差异性,其对于认识滑坡的成因机制具有重要的理论和实践意义。研究认为:(1)不同沉积类型的滑坡滑带(面)土和滑坡堆积物的粒度一般含有4个组分,其分别为风成的细、中、粗粒组分和水成的悬浮组分; (2)不同地区不同沉积类型的滑坡其滑带(面)土粒度与滑坡堆积物的粒度多组分具有不同的分布特征; (3)同一地区滑坡的滑带(面)土与滑坡堆积物的粒度多组分分布特征有较大差异,主要受控于滑坡本身的形成演化过程。 相似文献
8.
L. Picarelli L. Olivares L. Comegna E. Damiano 《Rock Mechanics and Rock Engineering》2008,41(1):179-197
Summary Experience shows that slope movements occurring in similar geomorphogical contexts may display very different styles and magnitude.
This has important practical implications, since the risk associated with a landslide depends just on its magnitude. The paper
discusses the mechanics of slope failure in coarse-grained and in fine-grained soils with particular reference to flow-like
landslides, showing that even small details can affect their movement pattern.
Author’s address: Prof. Luciano Picarelli, Seconda Università di Napoli, Aversa, Italy 相似文献
9.
Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek,South Korea 总被引：2，自引：0，他引：2
The objective of this study was to produce and evaluate a landslide susceptibility map for weathered granite soils in Deokjeok-ri Creek, South Korea. The relative effect (RE) method was used to determine the relationship between landslide causative factors (CFs) and landslide occurrence. To determine the effect of CFs on landslides, data layers of aspect, elevation, slope, internal relief, curvature, distance to drainage, drainage density, stream power index, sediment transport index, topographic wetness index, soil drainage character, soil type, soil depth, forest type, timber age, and geology were analyzed in a geographical information system (GIS) environment. A GIS-based landslide inventory map of 748 landslide locations was prepared using data from previous reports, aerial photographic interpretation, and extensive field work. A RE model was generated from a training set consisting of 673 randomly selected landslides in the inventory map, with the remaining 75 landslides used for validation of the susceptibility map. The results of the analysis were verified using the landslide location data. According to the analysis, the RE model had a success rate of 86.3 % and a predictive accuracy of 88.6 %. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations. The results of this study can therefore be used to mitigate landslide-induced hazards and to plan land use. 相似文献
10.
Zhongqiang Liu Graham Gilbert Jose Mauricio Cepeda Asgeir Olaf Kydland Lysdahl Luca Piciullo Heidi Hefre Suzanne Lacasse 《地学前缘(英文版)》2021,12(1):385-393
This paper introduces three machine learning(ML)algorithms,the‘ensemble'Random Forest(RF),the‘ensemble'Gradient Boosted Regression Tree(GBRT)and the Multi Layer Perceptron neural network(MLP)and applies them to the spatial modelling of shallow landslides near Kvam in Norway.In the development of the ML models,a total of 11 significant landslide controlling factors were selected.The controlling factors relate to the geomorphology,geology,geo-environment and anthropogenic effects:slope angle,aspect,plan curvature,profile curvature,flow accumulation,flow direction,distance to rivers,water content,saturation,rainfall and distance to roads.It is observed that slope angle was the most significant controlling factor in the ML analyses.The performance of the three ML models was evaluated quantitatively based on the Receiver Operating Characteristic(ROC)analysis.The results show that the‘ensemble'GBRT machine learning model yielded the most promising results for the spatial prediction of shallow landslides,with a 95%probability of landslide detection and 87%prediction efficiency. 相似文献
11.
The main goal of this paper is to generate a landslide susceptibility map through evidential belief function (EBF) model by using Geographic Information System (GIS) for Qianyang County, Shaanxi Province, China. At first, a detailed landslide inventory map was prepared, and the following ten landslide-conditioning factors were collected: slope angle, slope aspect, curvature, plan curvature, profile curvature, altitude, distance to rivers, geomorphology, lithology, and rainfall. The landslides were detected from the interpretation of aerial photographs and supported by field surveys. A total of 81 landslides were randomly split into the following two parts: the training dataset 70 % (56 landslides) were used for establishing the model and the remaining 30 % (25 landslides) were used for the model validation. The ArcGIS was used to analyze landslide-conditioning factors and evaluate landslide susceptibility; as a result, a landslide susceptibility map was generated by using EBF and ArcGIS 10.0, thus divided into the following five susceptibility classes: very low, low, moderate, high, and very high. Finally, when we validated the accuracy of the landslide susceptibility map, both the success-rate and prediction-rate curve methods were applied. The results reveal that a final susceptibility map has the success rate of 83.31 % and the prediction rate of 79.41 %. 相似文献
12.
在陕西省宝鸡市附近长寿沟地区滑坡详细调查和遥感解译的基础上,完成了1∶10000滑坡编目图。通过使用GIS的水文分析功能,运用正反DEM技术,将长寿沟地区划分为216个自然斜坡单元,其中包括123个滑坡单元和93个未发生滑坡单元,分析滑坡发生与坡高、坡度、坡向、坡形、人类工程活动和水文地质条件影响因子之间的统计规律。利用经遗传算法优化后的BP神经网络对80个滑坡样本和40个未滑坡样本进行训练学习,然后再利用训练好的网络对预测样本进行评价分析。结果表明:43个已滑坡单元中只有3个被误判为无滑坡,正确率为9302%,53个未滑坡单元中有10个被预测为滑坡,正确率为8113%,总体正确率为8646%。通过对被预测为滑坡的10个斜坡单元进行分析,发现这些单元在坡形、坡高等影响因素的组合上已经具备了发生滑坡的条件,虽然目前没有发生滑坡,但作为潜在的滑坡危险区,可以为滑坡灾害预测预报和防灾减灾工作提供参考。 相似文献
13.
动水压力型滑坡对库水位升降作用的响应以三峡库区树坪滑坡为例 总被引：2，自引：0，他引：2
三峡库区涉水型滑坡众多,库水位周期性涨落引起库岸滑坡岩土体物理性质的改变,还使得滑体内渗流场发生变化,进而影响滑坡体稳定性。为研究库水位升降作用对涉水边坡稳定性的影响,基于三峡库区重大涉水滑坡分类,对动水压力型滑坡进行分析。以三峡库区秭归县树坪滑坡为例,利用Geo-Studio软件的SEEP模块及SLOPE分别对滑坡渗流场与稳定性进行计算,分析不同滑体渗透系数及不同库水位升降速率对动水压力型滑坡的影响规律。结果表明:对于动水压力型滑坡,库水位上升过程中,地下水位线有下凹趋势,稳定性系数有所增大; 库水位下降过程中,地下水位线有上凸现象,且稳定性系数明显减小; 库水位升降速率越大,滑体渗透系数越小,库水位变动对滑坡渗流及稳定性影响越明显。 相似文献
14.
Soil depth reconstruction for the assessment of the susceptibility to shallow landslides in fine-grained slopes 总被引：1，自引：1，他引：0
This paper proposes a methodology aimed at reconstructing the maximum thickness mobilized by shallow landslides in fine-grained soils with the aid of geological and geotechnical analyses. The methodology, implemented within a geographic information system (GIS) environment, is composed of two stages for map reconstruction and two stages for map validation. The first stage of map reconstruction is aimed at individuating the soil thickness on the basis of only topographical and geological analyses; the second stage improves the previously obtained map with the aid of morphological and geotechnical analyses that provide a thickness map usable for shallow landslide susceptibility assessment. This map is validated with the aid of both in situ investigations (stage I), and geotechnical models able to back-analyse shallow precipitation-induced landslides over a wide area (stage II). An application of the proposed methodology is provided for a test area of the Calabria region (southern Italy) that is representative of the Catanzaro Strait, where widely diffused shallow landslides in fine-grained soils systematically occur. The results highlight the usefulness and reliability of the geotechnical models when implemented with the aid of a database representative of fine-grained soils while a secondary role is played by in situ investigations that in the test site have been performed only in a few representative and accessible areas. 相似文献
15.
基于蒙特卡罗法的多级黄土滑坡可靠性分析 总被引：2，自引：1，他引：1
滑坡稳定性分析目前工程中一般采用极限平衡算法。为了确定滑坡的稳定性系数,在计算过程中要将岩土体、计算模型简化,忽略一些影响滑坡稳定的次要因素,把影响滑坡稳定的各种主要因素作为确定参数。由于滑坡岩土体本身的非均质性及其参数确定具有随机性和变异性,用唯一的稳定系数不能客观地反映整个滑坡的真实安全程度。以陕西省夏呀河滑坡为例,通过野外详细调查、工程勘探和室内土工试验,初步确定该滑坡存在四级滑动面,难以用简单的单一滑动面计算其稳定性。因此,先采用推力传递系数法对滑坡体上的四级滑坡分别进行滑坡稳定性计算,得到该滑坡体上的四级滑坡稳定系数。再采用蒙特卡罗法对该四级滑坡进行可靠性分析,得到其可靠度,定量地表达夏呀河四级滑坡的安全程度。同时对比分析夏呀河四级滑坡的稳定系数和失稳概率,综合评价该滑坡体上的四级滑坡的稳定性及其风险概率,为滑坡的工程治理及预测预警、灾害危险性评价提供依据。 相似文献
16.
《Engineering Geology》2007,89(1-2):67-87
Light detection and ranging (LIDAR) data were used to visually map landslides, headscarps, and denuded slopes in Seattle, Washington. Four times more landslides were mapped than by previous efforts that used aerial photographs. The mapped landforms (landslides, headscarps, and denuded slopes) were created by many individual landslides. The spatial distribution of mapped landforms and 1308 historical landslides show that historical landslide activity has been concentrated on the mapped landforms, and that most of the landslide activity that created the landforms was prehistoric. Thus, the spatial densities of historical landslides on the landforms provide approximations of the landforms' relative susceptibilities to future landsliding. Historical landslide characteristics appear to be closely related to landform type so relative susceptibilities were determined for landslides with various characteristics. No strong relations were identified between stratigraphy and landslide occurrence; however, landslide characteristics and slope morphology appear to be related to stratigraphic conditions.Human activity is responsible for causing about 80% of historical Seattle landslides. The distribution of mapped landforms and human-caused landslides suggests the probable characteristics of future human-caused landslides on each of the landforms. The distribution of mapped landforms and historical landslides suggests that erosion of slope-toes by surface water has been a necessary condition for causing Seattle landslides. Human activity has largely arrested this erosion, which implies that landslide activity will decrease with time as hillsides naturally stabilize. However, evaluation of glacial-age analogs of areas of recent slope-toe erosion suggests that landslide activity in Seattle will continue for the foreseeable future. 相似文献
17.
The determination of statistical and deterministic hydrological landslide-triggering thresholds 总被引：25，自引：0，他引：25
Mark T. J. Terlien 《Environmental Geology》1998,35(2-3):124-130
Hydrological landslide-triggering thresholds separate combinations of daily and antecedent rainfall or of rainfall intensity
and duration that triggered landslides from those that failed to trigger landslides. They are required for the development
of landslide early warning systems. When a large data set on rainfall and landslide occurrence is available, hydrological
triggering thresholds are determined in a statistical way. When the data on landslide occurrence is limited, deterministic
models have to be used. For shallow landslides directly triggered by percolating rainfall, triggering thresholds can be established
by means of one-dimensional hydrological models linked to the infinite slope model. In the case of relatively deep landslides
located in topographic hollows and triggered by a slow accumulation of water at the soil-bedrock contact, simple correlations
between landslide occurrence and rainfall can no longer be established. Therefore real-time failure probabilities have to
be determined using hydrological catchment models in combination with the infinite slope model.
Received: 15 October 1997 · Accepted: 25 June 1997 相似文献
18.
大型深层蠕滑型滑坡在青藏高原怒江、澜沧江、金沙江、岷江等地形地貌和地质构造复杂区极为发育,具有规模大、滑带深、渐进变形破坏显著等特点,按照滑坡空间结构主要有后缘洼地蠕滑型、顺层基岩蠕滑型和厚层松散堆积物蠕滑型等3种类型,往往表现为长期蠕滑-间歇性复活-整体滑动.通过梳理大型深层蠕滑型滑坡稳定性影响因素、滑带土工程地质力学性质、地下水渗流场特征与降雨诱发滑坡滞后性以及渐进变形破坏机制和动态稳定性等4个方面的研究进展,提出了3个关键科学问题与4个主要研究方向.建议加强深层滑带土在渗流场-应力场等多场耦合作用下的工程地质力学特性研究、加强剖析滑坡岩土体的非均质渗透特性及地下水分布特征分析,研究不同雨强和历时条件下降雨有效入渗机理,研究大型深层蠕滑型滑坡的降水入渗响应过程和降水诱发滑坡变形的滞后性,提出基于渐进变形破坏的滑坡动态稳定性评价方法,为地质灾害早期判识和综合防范提供理论依据. 相似文献
19.
地震滑坡发生真实概率研究基本空白。本研究创新性的利用贝叶斯概率方法与机器模型开展了中国地震滑坡危险性真实概率研究,制作了第一代中国地震滑坡危险性概率图。基于9个地震案例开展研究,包括1999年台湾集集、2005年克什米尔、2008年汶川、2010年玉树、2013年芦山、2013岷县、2014鲁甸、2015尼泊尔、2017九寨沟地震,这9次地震中7次发生在中国,2005年克什米尔与2015尼泊尔地震均发生在中国邻区,可以更好的控制模型预测精度。这些地震事件均有详细完整的,利用面要素标识的地震滑坡数据,包括306 435处真实的地震滑坡记录。考虑到真实的地震滑坡发生区域,滑坡面积规模的差别,滑坡与不滑样本的比例等因素,共选取了5 117 000个模型训练样本。选择绝对高程、相对高差、坡度、坡向、斜坡曲率、坡位、地形湿度指数、土地覆盖类型、植被覆盖度、与断层距离、地层、年均降水量、地震动峰值加速度共13个地震滑坡影响因子。采用贝叶斯概率方法与机器学习模型相结合,建立地震滑坡发生的多因素影响模型,得到各个连续因子的权重与分类因子的各个分类的权重。再将模型应用到整个中国研究区,地震动峰值加速度因子为触发因子。分别考虑研究区在经历不同地震动峰值加速度（0.1~1 g,每0.1 g一个结果,共10个结果）下的地震滑坡发生真实概率。此外,还结合中国地震动峰值加速度分布图,得到了中国地震动峰值加速度背景下的地震滑坡发生真实概率分布。 相似文献
20.
突发型黄土滑坡灾前变形量小,加速阶段历时短,预警预报难度大。为探究该类滑坡失稳时间预测的新途径,降低滑坡造成的经济损失和人员伤亡,以2019年甘肃黑方台地区发生的4起滑坡为研究对象,基于改进的切线角模型确定滑坡变形阶段,提出以改进切线角为指标的简化累计计算方法;采用斜率模型（SLO模型）从滑坡各变形阶段起算进行失稳时间预测,从速度倒数变化趋势、滑坡成灾模式等方面分析预测结果差异。研究发现:（1）斜率模型在突发型黄土滑坡失稳时间预测方面具有一定的可行性,从80°切线角起算得到的预测精度最高;（2）以切线角为划分指标进行简化累计计算能降低数据波动对预测结果的影响,反映预测寿命变化趋势,提高预测精度;（3）速度倒数变化趋势呈“凹”型时提前预测概率大,速度倒数变化趋势呈“凸”型时滞后预测概率大,速度倒数变化趋势呈线性时模型预测精度较高;（4）该模型在黄土滑移崩塌型滑坡中的预测效果要优于静态液化型滑坡。 相似文献