基于GIS的滑坡、泥石流灾害危险性区划关键问题研究

随着GIS技术的引入,滑坡、泥石流灾害危险性区划的效率和准确性得以大大提高。依据工程地质类比原则,在灾害学理论指导下,结合专家打分、层次分析、人工神经网络、信息量、Logistic回归、统计量等模型方法,以MAPGIS软件为平台,利用C++语言开发了滑坡、泥石流灾害危险性区划评价分析系统;并重点探讨了GIS支持下的滑坡、泥石流灾害危险性区划过程中的因子分析、模型选取、模型复合、单元划分、系统集成、结果评价等关键问题,建立了一整套基于GIS的滑坡、泥石流灾害评价方法体系。应用该系统对长江三峡库区和辽宁省鞍山市分别开展了滑坡、泥石流灾害危险性区划研究,取得了较好的效果。     

基于改进型拉开档次法的泥石流危险度评价实例

泥石流危险度评价是泥石流研究的热点和难点问题。运用极大不相关法剔除泥石流危险度评价中提供信息重叠过多的因子,并应用主观赋权的序关系分析法（G1法）对客观赋权的拉开档次法进行改进,从而获得了一种新的泥石流危险度评价方法。以吉林省和龙市地质灾害调查与区划中的10条泥石流危险度评价实例进行验证并与传统方法对比,结果表明：该方法操作简便,其中4条处于分级点附近的泥石流危险度比传统方法高出一个等级,改进型拉开档次法能体现出传统评价方法中同级别泥石流危险度的差异性,评价结果与实际情况吻合得更好。结论虽然偏于安全,但能为有针对地开展泥石流灾害防治工作提供更科学的指导,可为泥石流危险度评价提供一种新的评价方法。     

昆明市泥石流风险性评价研究

采用比较成熟的泥石流危险性评价模型,结合ESRI（Environment System Research Institute）公司开发的新一代GIS软件——ARCGIS9．2,对昆明市泥石流进行危险度评价,得出了昆明市各县区的危险度。易损性评价是泥石流灾害风险性评价的一部分,根据国内有关易损性的理论成果,我们建立了昆明市泥石流易损性评价模型,对昆明市以各县区为单位进行了易损性评价,得出了昆明市各县区的易损度。利用联合国给出的自然灾害风险性评价模型：R—H×V,易损度和危险度相乘,得出了昆明市的风险度。使用ARCGIS9．2的自然分级和制图输出功能,对昆明市泥石流风险性进行了分区和制图,给出了昆明市泥石流风险性评价图。结合实际情况综合评判之后发现昆明市各县区呈现出泥石流灾害易损度和危险度不均衡的现象,因此,泥石流灾害发生时,外部社会救援工作就显得特别重要。     

四川省都江堰市龙池地区泥石流危险性评价研究

汶川地震灾区震后泥石流灾害较震前活跃,对灾区泥石流危险性进行评价是灾后重建过程中合理防灾减灾的基础工作。通过研究泥石流灾害事件中的泥石流规模、泥石流沟堆积扇面积及相应的灾害损失等基础资料,提出以泥石流在泥石流沟堆积扇上的平均堆积厚度替代泥石流规模作为主要危险因子的单沟泥石流危险性评价方法。用该方法对汶川震区都江堰市龙池镇龙溪河流域2010年"8.13"泥石流事件中的29条沟谷型泥石流进行危险性评价,评价结果中9条为高度危险,12条为中度危险,8条为低度危险。用以泥石流规模为主要危险因子的单沟泥石流危险性评价方法进行对比评价,2种评价方法中有65.5%的泥石流的危险性评价结果一致。以泥石流沟堆积扇平均堆积厚度为主要危险因子的单沟泥石流危险性评价方法更能突出规模对泥石流综合危险度的贡献,能更好地反映小泥石流流域和小泥石流堆积扇的泥石流在中小规模的泥石流总量下的危险程度。     

泥石流危险度野外快速评价方法探讨

文章系统地总结和分析了当前比较常用的泥石流危险度评价的研究方法,指出现行泥石流危险度评价中评价因子的提取往往需要详细野外勘查,工作量大、费用高,不便于对众多泥石流沟的普查;并提出一种在现场踏勘基础上,基于泥石流规模、频率和承灾体特征的快速便捷的新方法——泥石流危险度野外快速评价,并结合其他方法进行了实例对比验证。结果表明：泥石流危险度野外快速评价结果可靠,可作为快速评价泥石流危险性的新方法进行推广应用。     

Linking rainfall-induced landslides with predictions of debris flow runout distances

Rapid debris flows are among the most destructive natural hazards in steep mountainous terrains. Prediction of their path and impact hinges on knowledge of initiation location and the size and constitution of the released mass. To better link mass release initiation with debris flow paths and runout lengths, we propose to capitalize on a newly developed model for rainfall-induced landslide initiation (“Catchment-scale Hydro-mechanical Landslide Triggering” CHLT model, von Ruette et al. 2013) and couple it with simple estimates of debris flow runout distances and pathways. Landslide locations and volumes provided by the CHLT model are used as inputs to simulate debris flow runout distances with two empirical- and two physically-based models. The debris flow runout models were calibrated using two landslide inventories in the Swiss Alps obtained following a large rainfall event in 2005. We first fitted and tested the models for the “Prättigau” inventory, where detailed information on runout path was available, and then applied the models to landslides inventoried from a different catchment (“Napf”). The predicted debris flow runout distances (emanating from CHLT simulated landslide positions) were well in the range of observed values for the physically-based approaches. The empirical approaches tend to overestimate runout distances relative to observations. These preliminary results demonstrate the added value of linking shallow landslide triggering models with predictions of debris flow runout pathways for a range of soil states and triggering events, thus providing a more complete hazard assessment picture for debris flow exposure at the catchment scale.     

城市泥石流风险评价探讨

探讨了城市泥石流风险评价的系统方法,该方法包括泥石流扇形地危险区划、城市易损性分析和城市泥石流风险评价三个主要内容。泥石流堆积扇危险区划是基于数值模拟计算出的泥深和流速分布图进行叠合完成的。以美国高分辨率的“快鸟”卫星影像为数据源,完成了研究区的城市土地覆盖类型遥感解译,在此基础上完成了城市泥石流易损性分析,应用地理信息系统提供的统计和分析工具,完成了研究区泥石流风险评价。该风险区划图可用于指导对泥石流易泛区的不同风险地带的土地利用进行规划和决策,从而达到规避和减轻灾害的目的,也为生活在泥石流危险区的城市居民提供有关灾害风险信息,以作避难和灾害防治的依据。     

适宜尺度区间上的多尺度区域泥石流危险性评价

泥石流灾害及其孕灾环境具有高阶模糊性,现有的模型和方法在表示和分析泥石流灾害时存在明显的尺度效应。首先提出了我国泥石流危险性评价的尺度模型,通过尺度分析的方法分析了孕灾因子的适宜尺度区间。然后基于区间II-型模糊集表示孕灾因子的高阶模糊隶属度,以此描述泥石流及其孕灾环境的复杂性;以区间权重描述各孕灾因子的重要性,并提出了适宜尺度区间上的危险性评价方法。试验表明,这种方法能够克服许多单尺度分析方法的缺陷,在泥石流危险性评价过程中能充分利用孕灾因子在适宜尺度区间上的可能状态,能顾及专家的对孕灾因子重要性评价的不确定性,评价结果比较客观。     

川藏铁路孜热—波密段泥石流灾害危险性评价

泥石流灾害是青藏高原地区最为发育的灾害类型之一,因其暴发突然、运动过程剧烈和破坏性强的特点而对川藏铁路工程建设和生命财产安全构成一定的威胁.地质灾害危险性评估是防灾减灾管理和防治环节中的有效措施之一,为合理量化线路沿程泥石流灾害危险性空间分布特征,研究以林芝市波密县境内的川藏铁路孜热—波密段为试验区,应用基于贝叶斯优化...     

Debris flows in the Swiss National Park: the influence of different flow models and varying DEM grid size on modeling results

In the Swiss National Park, debris flows are a frequent phenomenon and have repeatedly affected highways and hiking structures. In this study, we first investigated the main characteristics and dimensions of current debris flows by field work and empirical parameterization schemes. Additionally, we evaluated a topography-based flow-trajectory geographic information system model (MSF) and a flow-routing model (FLO-2D) in terms of debris flow-affected areas. Three generically different digital elevation models (DEM) with grid spacing of 25, 4, and 1 m were used in conjunction with the flow models. The evaluation of the DEM grid spacing shows that for both flow models the 25-m DEM can give an approximate estimation of the potential hazard zone. Four- and one-meter DEMs mostly confine the simulated debris flow to existing channels and are in accordance with observations of recent debris-flow events. The study shows that DEM quality and grid resolution are crucial for the resulting delineation of potentially affected areas and thus for hazard assessment and mapping.     

Large-scale assessment of avalanche and debris flow hazards in the Sakhalin region,Russian Federation

We explore the challenges of avalanche and debris flow hazard assessment for urban areas exposed in the Sakhalin region. Avalanches are a threat to more than 60 settlements in the region and debris flows to more than 30. Data are provided for avalanche and debris flow events that occurred in the Sakhalin region between 1928 and 2015. In this paper, the method for the design of hazard maps for snow avalanches and debris flows is described, providing the starting point for any planning constraints in general settlement planning schemes. These maps further allow conducting an assessment of avalanche and debris flow risk within a short time period for a larger territory and at minimum cost.

     

Deterministic strong ground motion study for the Sitamarhi area near Bihar–Nepal region

We explore the challenges of avalanche and debris flow hazard assessment for urban areas exposed in the Sakhalin region. Avalanches are a threat to more than 60 settlements in the region and debris flows to more than 30. Data are provided for avalanche and debris flow events that occurred in the Sakhalin region between 1928 and 2015. In this paper, the method for the design of hazard maps for snow avalanches and debris flows is described, providing the starting point for any planning constraints in general settlement planning schemes. These maps further allow conducting an assessment of avalanche and debris flow risk within a short time period for a larger territory and at minimum cost.     

Quantitative Risk Assessment of Catastrophic Debris Flows through Numerical Simulation

The risk assessment is not only the one of the most effective soft measures in natural hazard prevention, but also is the base of hazard risk management. On account of the specificity of various elements at risk and debris flow mechanism, the theoretical system and technical procedure of debris flow quantitative risk assessment for buildings and roads were established in the mountaineous area of Southwest China, which included three sections: ①To represent debris flow hazard quantitatively using the intensity index IDF through FLO-2D simulation; ②To build debris flow physical vulnerability curve based on the loss exceedance-probability from Qipan gully debris flow case; ③To quantify the expected loss of the important elements at risk based on their database after setting the future debris flow scenarios. The case study of Yangling catchment indicated that the responding mechanism between elements at risk and debris flow physical mechanism was described quantitatively by this quantitative risk assessment system, which can contribute to the construction planning and prevention measure making in the southwestern mountainous area.     

Modeling debris flow initiation and run-out in recently burned areas using data-driven methods

In the framework of the landslide susceptibility assessment, the maps produced should include not only the landslide initiation areas, but also those areas potentially affected by the traveling mobilized material. To achieve this purpose, the susceptibility analysis must be separated in two distinct components: (1) The first one, which is also the most discussed in the literature, deals with the susceptibility to failure, and (2) the second component refers to the run-out modeling using the initiation areas as an input. Therefore, in this research we present a debris flow susceptibility assessment in a recently burned area in a mountain zone in central Portugal. The modeling of debris flow initiation areas is performed using two statistical methods: a bivariate (information value) and a multivariate (logistic regression). The independent validation of the results generated areas under the receiver operating characteristic curves between 0.91 and 0.98. The slope angle, plan curvature, soil thickness and lithology proved to be the most relevant predisposing factors for the debris flow initiation in recently burned areas. The run-out is simulated by applying two different methods: the empirical model Flow Path Assessment of Gravitational Hazards at a Regional Scale (Flow-R) and the hydrological algorithm D-infinity downslope influence (DI). The run-out modeling of the 36 initiation areas included in the debris flow inventory delivered a true positive rate of 83.5% for Flow-R and 80.5% for DI, reflecting a good performance of both models. Finally, the susceptibility map for the entire basin including both the initiation and the run-out areas in a scenario of a recent wildfire was produced by combining the four models mentioned above.     

Comparison of numerical models of two debris flows in the Cortina d’ Ampezzo area,Dolomites, Italy

The accurate prediction of runout distances, velocities and the knowledge of flow rheology can reduce the casualties and property damage produced by debris flows, providing a means to delineate hazard areas, to estimate hazard intensities for input into risk studies and to provide parameters for the design of protective measures. The application of most of models that describe the propagation and deposition of debris flow requires detailed topography, rheological and hydrological data that are not always available for the debris-flow hazard delineation and estimation. In the Cortina d’Ampezzo area, Eastern Dolomites, Italy, most of the slope instabilities are represented by debris flows; 325 debris-flow prone watersheds have been mapped in the geomorphological hazard map of this area. We compared the results of simulations of two well-documented debris flows in the Cortina d’Ampezzo area, carried on with two different single-phase, non-Newtonian models, the one-dimensional DAN-W and the two-dimensional FLO-2D, to test the possibility to simulate the dynamic behaviour of a debris flow with a model using a limited range of input parameters. FLO-2D model creates a more accurate representation of the hazard area in terms of flooded area, but the results in terms of runout distances and deposits thickness are similar to DAN-W results. Using DAN-W, the most appropriate rheology to describe the debris-flow behaviour is the Voellmy model. When detailed topographical, rheological and hydrological data are not available, DAN-W, which requires less detailed data, is a valuable tool to predict debris-flow hazard. Parameters obtained through back-analysis with both models can be applied to predict hazard in other areas characterized by similar geology, morphology and climate.     

Evaluation of approaches to calculate debris-flow parameters for hazard assessment

Many different runout prediction methods can be applied to estimate the mobility of future debris flows during hazard assessment. The present article reviews the empirical, analytical, simple flow routing and numerical techniques. All these techniques were applied to back-calculate a debris flow, which occurred in 1982 at La Guingueta catchment, in the Eastern Pyrenees. A sensitivity analysis of input parameters was carried out, while special attention was paid to the influence of rheological parameters. We used the Voellmy fluid rheology for our analytical and numerical modelling, since this flow resistance law coincided best with field observations. The simulation results indicated that the “basal” friction coefficients rather affect the runout distance, while the “turbulence” terms mainly influence flow velocity. A comparison of the velocity computed on the fan showed that the analytical model calculated values similar to the numerical ones. The values of our rheological parameters calibrated at La Guingueta agree with data back-calculated for other debris flows. Empirical relationships represent another method to estimate total runout distance. The results confirmed that they contain an important uncertainty and they are strictly valid only for the conditions, which were the basis for their development. With regards to the simple flow routing algorithm, this methods could satisfactorily simulate the total area affected by the 1982 debris flow, but it was not able to directly calculate total runout distance and velocity. Finally, a suggestion on how different runout prediction methods can be applied to generate debris-flow hazard maps is presented. Taking into account the definition of hazard and intensity, the best choice would be to divide the resulting hazard maps into two types: “final hazard maps” and “preliminary hazard maps”. Only the use of numerical models provided final hazard maps, because they could incorporate different event magnitudes and they supplied output-values for intensity calculation. In contrast, empirical relationships and flow routing algorithms, or a combination of both, could be applied to create preliminary hazard maps. The present study only focussed on runout prediction methods. Other necessary tasks to complete the hazard assessment can be looked up in the “Guidelines for landslide susceptibility, hazard and risk zoning” included in this Special Issue.     

基于不同评价单元和灾害熵的泥石流危险性分析

白龙江流域为泥石流等地质灾害密集分布区。2020年8月由于强降雨激发,白龙江流域武都段发生了大规模的群发性泥石流灾害,造成严重损失。文章以白龙江流域甘肃省陇南市武都段（宕昌县两河口乡—武都区桔柑镇）为研究区,通过野外实地考察,选取流域面积、流域形状系数、平均坡度、沟谷密度、物源参照值（HI）、岩性、流域中心距活动断层距离、一小时最大降雨量、植被覆盖度作为泥石流危险性评价因子。基于灾害熵理论,分别以泥石流单沟和小流域单元作为评价单元,利用ArcGIS软件,进行区域泥石流危险性评价。分析结果表明,研究区内泥石流沟大多数都属于中、高危险性。致灾因子中岩性、物源参照值（HI）、距断层距离、植被覆盖度及平均坡度的权重最大,与实际考察结果一致。且以小流域单元作为评价单元的评价结果更符合研究区的泥石流发育情况。     

Comprehensive hazard assessment and protection of debris flows along Jinsha River close to the Wudongde dam site in China

The occurrence of debris flows close to a hydropower dam not only threatens human lives and structures, but also affects the stability of the dam. Therefore, hazard assessment and protection of debris flows close to the dam are particular and important. In this paper, 3 S (Geographic Information System, Global Positioning System, and Remote Sensing) technologies are applied to determine the characteristics of debris flows. Characteristics that can affect debris flow assessment are classified and extracted. Based on the determined characteristics, the extension theory, which is used for solving incompatibility and contradiction problems, is applied to hazard assessment. In this paper, the idea of self-protection is proposed for debris flow gully protection. The prevention procedures are detailed, including filling of lower reaches and design of drainage works.     

区域泥石流灾害的定量风险分析

概述了区域泥石流灾害的风险分析体系,指出了过去区域泥石流灾害危险性研究中的某些误区以及区域社会经济易损性评价的难点。借助于“灾害熵”的概念,提出了区域泥石流灾害危险性定量分析的一种新方法。通过将泥石流灾害的危险性和区域社会经济易损性进行分级,建立了风险评价矩阵。在此基础上,对区域泥石流灾害的风险进行了分级,可为有效地进行区域泥石流灾害的预警,以及为减灾防灾奠定了坚实的基础。