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.     

不同区域地质灾害评价方法的组合效应分析

区域地质灾害发生机理复杂,国内外主要的评价思路是建立以方法本身为基础的评价模型,这种评价思路会引起与区域地质灾害危险性自身的“不兼容”性,可以通过合理利用不同方法进行组合的评价模式来减小这种“不兼容”性.通过分析现有评价方法的适宜性,针对其不同的优缺点,提出了利用不同区域地质灾害评价方法进行组合评价应当遵循的基本原则,包括扬长避短原则、互扬互抑原则、提高资料的利用率原则、提高评价结果的精度原则.以青川县滑坡危险性评价为例,对这些原则的具体应用进行了分析,结果表明,利用模糊综合评判分别与AHP法和信息熵进行组合评价,其结果的精度要高于单独模糊综合评判法,但由于历史监测数据不充分,使得利用专家知识和经验的模糊综合评判与AHP的组合评价法的精度要高于基本监测数据的模糊综合评判和信息熵的组合评价法.     

Comparing Landslide Hazard Maps

The objective of the method explained in this paper isto obtain a better insight in the decision rulesapplied by geomorphologists in the direct mapping oflandslide hazard. This can be obtained by forcinggeomorphologists to specify for each unit (polygon) intheir hazard map the criteria that they used toclassify the unit as high, medium or low hazard. Whenthis is done systemically for an entire area, it ispossible to analyze those criteria statistically, andto evaluate whether they can be grouped into generaldecision rules, or whether these criteria arecompletely site specific. The same area in the Alpagoregion in Italy was mapped at 1 : 5000 scale by threeteams of experts individually. The different methodsare presented and the results are compared.     

Overview Landslide Hazard Assessment of China

In recent years, China has suffered serious geological disasters, most of slope movements due to complex geology, geomorphology, unusual weather conditions, and large-scale land explorations during high speed economic development. According to geological hazard investigations organized by the Ministry of Land and Resources of China, there are 400 towns and more than 10000 villages under the threatening of those landslide hazards. This paper presents the overview landslide hazard assessment in terms of GIS, which aims to evaluate the overview geohazard potentials, vulnerabilities of lives and land resources, and risks in conterminous China on the scale of 1 : 6 000 000. This is the first overview landslide hazard potential map of China.     

Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain

A procedure for validating landslide susceptibility maps wasapplied in a study area in northern Spain and the results obtained compared. Validationwas used to carry out sensitivity analysis for individual variables and combinationsof variables. The validity of different map-making methods was tested, as well as theutility of different types of Favourability Functions. The results obtained show thatvalidation is essential to determine the predictive value of susceptibility maps. Italso helps to better select the most suitable function and significant variables, thus improving the efficiency of the mapping process. Validation based on a temporal strategy makes it possible to derive hazard maps from susceptibility maps.     

滑坡灾害空间预测支持向量机模型及其应用

随着GIS技术在滑坡灾害空间预测研究中的广泛应用,滑坡灾害空间预测模型成为研究的热点问题。在总结滑坡灾害空间预测研究现状的基础上,简要介绍了两类和单类支持向量机的基本原理。以香港自然滑坡空间预测为例,采用两类和单类支持向量机进行滑坡灾害空间预测,并与Logistic回归模型进行了比较。结果表明,两类支持向量机模型优于Logistic回归模型,而Logistic回归模型优于单类支持向量机模型。     

Use of GIS Technology in the Prediction and Monitoring of Landslide Hazard

Technologies such as Geographical Information Systems (GIS) have raised great expectations as potential means of coping with natural disasters, including landslides. However, several misconceptions on the potential of GIS are widespread. Prominent among these is the belief that a landslide hazard map obtained by systematic data manipulation within a GIS is assumed to be more objective than a comparable hand-made product derived from the same input data and founded on the same conceptual model. Geographical data can now be handled in a GIS environment by users who are not experts in either GIS or natural hazard process fields. The reality of the successful application of GIS within the landslide hazard domain seems to be somewhat less attractive than current optimistic expectations.In spite of recent achievements, the use of GIS in the domain of prevention and mitigation of natural catastrophes remains a pioneering activity. Diffusion of the technology is still hampered by factors such as the difficulty in acquiring appropriate raw data, the intrinsic complexity of predictive models, the lack of efficient graphical user interfaces, the high cost of digitisation, and the persistence of bottlenecks in hardware capabilities.In addition, researchers are investing more in tuning-up hazard models founded upon existing, often unreliable data than in attempting to initiate long-term projects for the acquisition of new data on the causes of catastrophic events. Governmental institutions are frequently involved in risk reduction projects whose design and implementation appear to be governed more by political issues than by technical ones. There is an unfortunate general tendency to search for data which can be collected at low cost rather than attempting to capture the information which most readily explains the causes of a disaster.If the technical, cultural, economic and political reasons for this unhealthy state cannot be adequately tackled, the International Decade for Natural Disaster Reduction will probably come to an end without achieving significant advances in the prediction and control of natural disasters.     

我国登陆台风影响区地质灾害易发性分析

地质环境脆弱的地区,台风的特大暴雨可以诱发山体滑坡和泥石流等地质灾害,造成严重人员伤亡。本文分析了我国登陆台风影响区域内的地质灾害时空分布特点,利用信息量方法,通过灾害的易发性区划来分析登陆台风影响区地质灾害特征,进而比较台风和非台风影响条件下地质灾害产生的地理条件和信息量差异。分析结果表明,在台风强降雨条件下,地质灾害的触发地质环境条件较非台风降雨触发地质灾害明显降低,地质灾害脆弱性明显增加。     

Regional Assessment of the Effects of Land-Use Change on Landslide Hazard By Means of Physically Based Modelling

Physically based models are capable of evaluating the effects of environmental changes through adaptations in their parameters. For landslide hazard zonation, this gives them an edge over traditional, statistically based techniques that require large datasets and often lack the objectivity to achieve the same purpose. Therefore, physical models can be valuable tools for hazard assessment and planning purposes.The usefulness of the model prognosis depends largely on the ability of the physical model to mimic the landscape system. This implies that the model should be calibrated and validated and that the imposed changes do not lead to a radical departure from the present situation.Under the recognition of these constraints, a physically based model has been applied to a 1.5 km² catchment in the Alcoy region (SE Spain) to evaluate the effects of land use change on landslide activity. The model couples a transient, distributed hydrological model with a probabilistic assessment of the slope stability. Thus, it is able to assess the spatial and temporal activity of slope instability. For the present situation, validation demonstrates that the probability of failure returns a conservative estimate of the spatial frequency of landsliding. The model has subsequently been applied to two hypothetical land use change scenarios that extrapolate present and likely trends. For these scenarios, the model results indicate a marginal decrease in the spatial frequency of landsliding (aerial extent of instability). However, the decrease in the temporal activity (is total duration of instability over a given period) is substantial under the altered land use conditions. The forecasted change in landslide activity not only affects the relative weight of slope processes in the region. It also has implications for the perceived hazard levels and the landslide hazard zonation of the area.     

A Methodology for Assessing Landslide Hazard Using Deterministic Stability Models

Deterministic stability models are used to assess the potential for mass movement within Hamilton City, New Zealand using sensitivity analysis for critical environmental variables. Discrete geomorphic zones are recognised on the basis of material properties and slope characteristics; generic slope profiles are derived for each of these zones by averaging slope profiles determined from a Digital Elevation Model. Stability analysis models are used to derive critical failure surfaces for these profiles using measured or estimated material properties, and sensitivity analysis allows the conditions of water table level and seismic acceleration under which the slopes become unstable to be determined. This method is applied to Hamilton City to assess the citywide hazard associated with mass movement. For the slopes studied, conditions of elevated water table alone may initiate failure, but this is seen as unlikely as the materials are well drained. Combinations of water tables above 10% of the slope elevation together with seismic accelerations of approximately 0.2 g (150 year return period) represent likely failure conditions for many slopes. This information provides emergency management planners with estimates of the likely extent of failure in different regions of the city, and hence facilitates identification of lifelines and infrastructure at risk. The method cannot provide site-specific information, but in combination with knowledge of cultural features gives indications of critical locations where detailed engineering assessments are required.     

Potential of Satellite Remote Sensing and GIS for Landslide Hazard Assessment in Southern Kyrgyzstan (Central Asia)

Big landslides are one of the main natural hazards in Kyrgyzstan, which are concentrated in the foothills of the high mountain ranges along the Eastern rim of the Fergana Basin. Because of the high number of landslides and their occurrence over large areas there is a strong need for effective and objective landslide hazard assessment at a regional scale. In Kyrgyzstan satellite remote sensing data represent the only source of multitemporal information about surface conditions covering large areas. Against this background the goal is the development of a satellite remote sensing and GIS-based system for quantitatively oriented and spatially differentiated hazard assessment. During the presented pilot investigations in the area of the Upper Maili Suu river basin a methodological framework has been developed incorporating remote sensing and GIS techniques for various levels of information extraction. So far, methodological investigations have been focused on the potential of satellite remote sensing data from different optical (Landsat-(E)TM, ASTER, MOMS-2P) and radar (ERS-1/2) systems for the creation of an improved knowledge basis for hazard assessment. This includes landslide identification, generation of topographic information and characterization of the geological setting. The derived primary information have been analyzed in a GIS environment to gain an improved process understanding as a main prerequisite for successful hazard assessment. The results show that currently available satellite remote sensing data are suitable for landslide investigation in Kyrgyzstan. Full exploitation of their information potential requires combined analysis with other thematic information based on methods of interactive and automated information extraction.     

Progress in NTHMP Hazard Assessment

The Hazard Assessment component of the U.S. National Tsunami Hazard Mitigation Program has completed 22 modeling efforts covering 113 coastal communities with an estimated population of 1.2 million residents that are at risk. Twenty-three evacuation maps have also been completed. Important improvements in organizational structure have been made with the addition of two State geotechnical agency representatives to Steering Group membership, and progress has been made on other improvements suggested by program reviewers.     

A Landslide Hazard Assessment and Vulnerability Appraisal Procedure: Vunguvungu/Banga Catchment,Northern Malawi

Landslides are a common phenomenon in parts of Malawi. A number of historical landslides have been documented, and are summarised here. This paper examines the occurrence of landslides in the Rumphi district of northern Malawi, concentrating on the catchment of the Vunguvungu and Banga rivers. This is an area of deeply weathered biotitic gneiss and muscovite schist, with deep, sandy soils, comparatively steep slopes and a rainfall in excess of 1,500 mm per annum. These factors, in association with changing land use patterns, have contributed to the landslide vulnerability of the area. The investigation focuses, as a case study, on the Banga landslide of 1997 for which data are available, and which occurred after unseasonal rain. A unique combination of natural and human induced factors is proposed in explaining the occurrence of landslides. The paper concludes by proposing an elementary vulnerability appraisal procedure for the catchment and by discussing the potential risk of landslides in this area.     

滑坡灾害与处治效果的地球物理勘察应用研究

以刘少奇同志故居管理局园区的滑坡地质勘察及治理工程为例,介绍了高密度电阻率法、直流电测深法和地震地质映象法等的综合应用。工程采用温纳装置、斯龙倍格装置,设计了一组适合该区域地质特征的技术参数,通过对岩溶的发育形态、规模、深度进行探测分析,确定了该区岩溶范围与溶洞的分布状况以及滑移面的变化趋势。结合钻探资料对整个园区的地质灾害程度进行了综合评价,并提出了运用高压旋喷灌浆的治理方案。经验证,该园区的滑坡治理措施取到了较好的效果。     

GIS-Based Probabilistic Mapping of Landslide Hazard Using a Three-Dimensional Deterministic Model

Based on a new Geographic Information Systems (GIS) grid-basedthree-dimensional (3-D) deterministic model and taking the slopeunit as the mapping unit, this study maps landslide hazard usingthe 3-D safety factor index and failure probability. Assuming theinitial slip to be the lower part of an ellipsoid, the 3-D critical slipsurface in the 3-D slope stability analysis is located by minimizingthe 3-D safety factor using the Monte Carlo random simulation.The failure probability of the landslide is calculated using anapproximate method in which the distributions of c, andthe 3-D safety factor are assumed to be in normal distribution.The method has been applied to a case study on three-dimensionallyand probabilistically mapping landslide hazard.     

Mass Movement and Landslide Hazard, Murree Area, North Pakistan

MASS MOVEMENT AND LANDSLIDE HAZARD, MURREE AREA, NORTH PAKISTAN     

基于简化Newmark模型的长白山天池火山诱发崩塌滑坡危险性评价

火山喷发过程所伴生的地震活动会诱发大量的崩塌滑坡次生灾害,其所造成的人员财产损失甚至超过火山活动本身。2002年以来长白山天池火山区地震活动的异常,表明火山深部的岩浆正在发生变化,天池火山存在喷发的危险。地震崩塌滑坡的危险性区划是降低生命财产损失的有效手段。将火山伴生地震作为崩塌滑坡灾害的诱发因素并据此设置地震参数,利用简化的Newmark累积位移模型,考虑地形因素对地震的放大效应,对长白山地区天池火山喷发下次生崩塌、滑坡灾害的危险性进行评价。通过探讨不同地震震级下的危险性分区结果,认为不同地震参数的设置对危险性分区结果没有影响。将研究区划分为极高、高、中等、低、极低等5个危险等级,其中,极高危险区主要分布在3个区域:以天池口为中心,40km为半径的范围内;沿江乡—两江镇—松江镇条带区域;长白县境内鸭绿江沿岸区域。     

A Multidisciplinary Methodology for Hazard and Risk Assessment of Rock Avalanches

Summary A quantitative procedure for hazard and risk assessment of large landslides that can develop as rock avalanches is discussed in this paper. Reference is made to the IMIRILAND project, where a multidisciplinary methodology has been developed paying particular attention to the landslide modeling process that leads to the quantification of the hazard, i.e. the prediction of the occurrence probability, the involved area and the run-out velocity. The risk assessment methodology is exemplified in the paper with reference to two cases: the Ceppo Morelli and Rosone landslides, both of which are located in the Italian Western Alps. The results of these applications show that, despite the development of sophisticated 3D numerical methods, many uncertainties still remain in the process of modeling large and complex landslides, related in particular to the definition of the probability of failure and the rheological parameters to be used for the prediction of rock mass behavior. However geo-mechanical models are found to be very valuable tools to verify, from a mechanical point of view, the assumptions introduced through the geo-structural and geo-morphological analyses concerning the volume and the kinematics of the unstable mass, and their role is fundamental for the determination of the involved area when mechanical parameters can be assumed with sufficient reliability. Author’s address: Marta Castelli, Politecnico di Torino – Dipartimento di Ingegneria Strutturale e Geotecnica, Corso Duca degli Abruzzi 24, 10129 Torino, Italy     

浙江庆元地区滑坡灾害的多要素评价

利用地理信息系统（GIS）与遥感技术结合进行油坡灾害评价与预测是当前滑坡研究的热点,在对浙江省庆元县进行遥感滑坡研究中,通过对滑坡各影响因素的详细分析。结合TM图像,利用GIS技术分析主要影响因素,确定影响因素集及其间的朴素关系。从而建立庆元县油坡灾害多要素综合评价的初步模型。结果有81.25%滑坡点落在危险区域。令人比较满意,因此,可以利用此模型进行庆元县滑坡灾害评价。