台风-非台风降雨型滑坡的多时段临界雨量值预测模型

统计确定临界降雨量是滑坡早期预警常用的方法.东南沿海地区台风暴雨不同于一般降雨,常引发滑坡灾害,从而威胁沿海地区人民生命财产安全.为了建立台风和非台风降雨型滑坡临界降雨量预测模型,以浙江丽水市为例,基于2010-2020年台风暴雨、非台风降雨诱发滑坡与降雨量的统计,构建了丽水市滑坡发生概率和有效降雨量的关系,提出了多时...     

福建省台风暴雨条件下滑坡规律性研究

通过对福建省台风暴雨特征的详细分析,结合沿台风“莫拉克”路径对省内新发生滑坡进行的追踪调研,总结出台风暴雨条件下滑坡发生的背景环境,分析了台风暴雨各个特征要素与滑坡之间的关系：滑坡与台风中心登陆区域及登陆后的运行轨迹具有很强的一致性,台风登陆当天降雨对滑坡起决定性作用,当台风登陆当日降雨量达到100 mm或60 mm的3 h极值降雨量时,易触发“即雨即滑”群发式小型浅层土质滑坡。     

台风暴雨条件下滑坡变形特征物理试验研究

研究台风暴雨条件下滑坡变形规律对东南沿海地区滑坡的预测预报有重要意义。文章以浙江省文成县中林村滑坡为例,根据相似理论合理选择相似材料,建立了室内滑坡地质力学模型,以物理模型试验再现其演化过程,归纳总结台风暴雨条件下滑坡的变形破坏特征。研究结果表明:台风暴雨渗流特征与滑坡失稳密切相关,含水量突变位置为滑裂面,192 mm/d为中林村滑坡的临界降雨量,降雨的持续时间与强度与滑坡稳定性呈负相关。     

台风暴雨型土质滑坡演化过程研究

台风暴雨型滑坡是我国东南丘陵山地主要的滑坡类型,揭示其失稳演化规律对东南丘陵山地台风暴雨型土质滑坡监测预警具有重要的理论及实际意义。本文以福建泉州德化石山滑坡为研究对象,结合现场地质勘察资料,建立滑坡物理与数值模型对其变形演化过程进行模拟,探究边坡失稳涉及的渗流和变形位移等规律。研究结果表明:(1)初期雨水以垂直入渗坡体为主,且入渗速率较大;后期入渗速率随坡体饱和度增加而减小。有前期小降雨的情况下,坡脚位置更易出现积水饱和现象;(2)雨水入渗是导致坡体稳定性下降的主要原因:在暴雨工况中E3(模拟全程降雨为暴雨雨强100 mm·d-1)中,稳定系数保持下降,从1.197降至1.125;在双峰暴雨工况E4(前期30 mm·d-1小雨强降雨,后期100 mm·d-1暴雨雨强降雨)中,小雨强降雨过程中稳定系数基本保持不变,从1.197降至1.188,当暴雨一开始,稳定系数骤降至1.060;(3)台风暴雨型滑坡位移演化过程具有阶段性特征:压缩沉降微变形阶段,该阶段位移曲线变化平缓,基本不发生位移;匀速变形阶段,该阶段位移匀速增长,位移速率不变;加速变形阶段,加速变形直至失稳阶段,破坏迅速,具有突发性,曲线呈非线性;(4)当前期发生小雨强降雨(降雨强度≤30 mm·d-1),后期突发大暴雨雨强降雨(降雨强度≥100 mm·d-1)情况下滑坡的发生具有突变性,在试验中暴雨初期位移骤增20 mm,而后快速发展到90 mm左右。     

基于GIS的分组数据Logistic模型在斜坡稳定性评价中的应用

分组数据Logistic回归是针对因变量为定性变量、自变量为分类变量的一种解决方案,加权最小二乘法可用来求解该方程.将巫山县新城西区作为试验区,选取岩性、坡度、高程、地下水位埋深、距最近有影响构造线距离5种因素为斜坡稳定性影响因素,以试验区历史滑坡发生为因变量,建立了区域斜坡稳定性评价的分组数据Logistic回归方程,进行了回归方程显著性检验和回归系数显著性检验,最后利用回归方程对全区斜坡稳定性进行预测.模型拟合精度为:以滑坡发生概率0.157 9为判据,滑坡发生样本的判对率为72.55%,滑坡不发生样本的判对率为79.69%.     

降雨入渗下非饱和坡残积土湿润锋运移试验研究

我国东南沿海地区丘陵山地发育，降雨入渗到土体中的水分是导致滑坡灾害频发的关键因素。以福建省泉州市德化县地质灾害点为主要研究对象，考察典型地质灾害点具有代表性的坡积土与花岗岩残积土的渗透特性。利用自行研制的土体入渗装置，分别在降雨强度为15、30、60 mm/h条件下，考虑降雨历时一致（180 min）与过程降雨量一致（90 mm）两种工况开展一维土柱入渗试验，得到相应的各个土柱含水率、湿润锋、入渗率随时间变化的响应规律。试验结果表明：（1）土体渗透系数越大、雨强越大，土体湿润蔓延距离越深、速度越快。（2）降雨入渗过程中，土体含水率由浅及深逐次对降雨进行响应。不同雨强对含水率的影响主要体现在第一次响应时间以及饱和速度上，雨强越大，响应时间越快，饱和速度也越快。（3）提出可表征在不同雨强作用下，德化县马坪滑坡与崩土岭滑坡的湿润锋入渗公式。该研究成果对台风暴雨型滑坡的孕灾机制分析以及精细化监测预警具有重要的理论及实际意义。     

台风暴雨型滑坡滞后效应分析

我国东南沿海地区台风登陆频繁,伴生暴雨诱发的台风型滑坡造成了严重的经济损失和人员伤亡。已有研究在单峰型、多峰型台风暴雨的斜坡水文响应过程及稳定性分析方面取得了一定成果,但缺乏对台风暴雨型滑坡滞后效应的研究和机理分析。为此,以台风“利奇马”在浙江青田县的登陆为例,基于对台风型滑坡发生数量与降雨量的统计,构建16组不同结构组合的斜坡模型,模拟在台风登陆过程中不同降雨工况条件下斜坡的渗流—稳定性变化。结果表明,台风“利奇马”离陆后青田县内仍有26.4%的滑坡发生,存在一定滞后;不同结构组合斜坡稳定性在离陆后最低,相较于台风登陆前稳定性系数降低了13.82%;在台风登陆暴雨作用下,青田县斜坡稳定性结构影响参数中坡度最为敏感;讨论认为在台风不同登陆阶段的降雨会导致边坡的入渗特征差异,从而形成滞后效应。研究结论对于该区域的台风型滑坡早期识别具有一定指导意义。     

德化县滑坡成灾临界降雨量研究

德化县位于闽东南地区,是台风强降雨三大高值区之一,为地质灾害多发区.地质灾害以浅层土质滑坡为主,具有群发性、多频发性.根据德化县滑坡发育特点和气象雨量数据,采用二项分类Logistic回归模型,计算得出研究区滑坡临界降雨量的表达式,为区域地质灾害预警预报提供技术支持.     

三种插值方法在降水等值线绘制中的对比分析

为对比不同插值方法在宁夏回族自治区的适用性,基于宁夏及其周边地区77个气象台站1956—2016年平均降水量数据,运用泰森多边形法、距离平均反比法、克里金插值法对降雨量数据进行空间插值和交叉验证,从插值方法的稳健性和准确度出发进行对比分析,得出适用于宁夏回族自治区的插值方法。研究表明：（1）从准确度来看,克里金插值法与观测值走向、位置较为相似;从稳健性来看,克里金插值法MAE平均值为4.43 mm、RMSE平均值为10.36 mm,显著小于泰森多边形法和距离平均反比法。（2）整体来看,克里金插值法更为理想,可以用于宁夏回族自治区降水量空间插值分析。     

基于电导性能的原状土柱降雨入渗规律研究

我国东南沿海地质环境复杂脆弱,由台风暴雨引发的滑坡频频发生.雨水入渗到土体内可能导致坡体变形,进而产生滑坡、泥石流等灾害.以福建三明岩兜滑坡为研究对象,通过自行研制的人工降雨土柱入渗试验装置,对研究区滑坡的残积土柱进行了不同降雨强度下(20 mm·h-1、60 mm·h-1)的累次循环降雨实验,考虑了不同降雨量、降雨历...     

台风暴雨型滑坡降雨阈值曲线研究以福建地区为例

台风暴雨型滑坡具有群发性、规模小、爆发性强的特点,容易造成严重的人员伤亡和巨大的财产损失。本文应用极值理论分析,以极端降雨重现期的极大值作为标准并计算有效的降雨区间,通过统计分析,确定触发暴雨型滑坡的降雨阈值曲线。应用模型对福建地区台风暴雨型滑坡进行了分析,福建省3个灾害高发区为:南平三明地区、泉州地区和宁德地区。南平三明地区降雨阈值较高,但发生的滑坡数量较多,主要以3d的降雨为主;泉州地区小于3d的连续降雨和大于8d的连续降雨是触发该地滑坡的主要降雨区间;宁德地区对短期降雨较为敏感,滑坡主要由1d的降雨引起。比较分析研究表明,台风地区触发滑坡的降雨阈值要高于非台风地区。降雨型滑坡阈值主要受气候,地质和土壤厚度影响,气候因素为主控因素。     

台风暴雨型浅层滑坡失稳机理研究

针对台风暴雨耦合作用下浅层滑坡的失稳机理进行研究。在总结福建台风暴雨型滑坡灾害特征的基础上,提出风荷载对斜坡变形失稳的影响机理是通过植被造成坡体开裂,从而影响坡体的入渗规律。应用GeoStudio软件计算台风暴雨入渗条件下裂隙坡体中暂态非饱和渗流场的变化,以及对斜坡稳定性的影响。计算结果表明:裂隙坡体由于在裂隙处形成集中入渗点,雨水的入渗速度大于无裂隙的坡体,坡体达到饱和状态所需要的时间大为缩短。裂隙深度、间距对滑坡稳定系数的影响较大,裂隙深度越大、间距越小,在相同的降雨条件下滑坡的稳定系数越小,滑坡失稳需要的降雨时长越短。裂隙宽度对滑坡稳定性的影响相对较小。      

Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)’s predictive skill for hurricane-triggered landslides: a case study in Macon County,North Carolina

The key to advancing the predictability of rainfall-triggered landslides is to use physically based slope-stability models that simulate the transient dynamical response of the subsurface moisture to spatiotemporal variability of rainfall in complex terrains. TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis) is a USGS landslide prediction model, coded in Fortran, that accounts for the influences of hydrology, topography, and soil physics on slope stability. In this study, we quantitatively evaluate the spatiotemporal predictability of a Matlab version of TRIGRS (MaTRIGRS) in the Blue Ridge Mountains of Macon County, North Carolina where Hurricanes Ivan triggered widespread landslides in the 2004 hurricane season. High resolution digital elevation model (DEM) data (6-m LiDAR), USGS STATSGO soil database, and NOAA/NWS combined radar and gauge precipitation are used as inputs to the model. A local landslide inventory database from North Carolina Geological Survey is used to evaluate the MaTRIGRS’ predictive skill for the landslide locations and timing, identifying predictions within a 120-m radius of observed landslides over the 30-h period of Hurricane Ivan’s passage in September 2004. Results show that within a radius of 24 m from the landslide location about 67% of the landslide, observations could be successfully predicted but with a high false alarm ratio (90%). If the radius of observation is extended to 120 m, 98% of the landslides are detected with an 18% false alarm ratio. This study shows that MaTRIGRS demonstrates acceptable spatiotemporal predictive skill for landslide occurrences within a 120-m radius in space and a hurricane-event-duration (h) in time, offering the potential to serve as a landslide warning system in areas where accurate rainfall forecasts and detailed field data are available. The validation can be further improved with additional landslide information including the exact time of failure for each landslide and the landslide’s extent and run out length.     

秦巴山区滑坡发育规律研究

文章以南郑、城固两县为例，对秦岭、巴山东段米仓山地区的滑坡发育规律进行了调查研究，调查面积5092．5km2，发现各类地质灾害184处，其中滑坡164处，占总数的89．1％，受威胁人口6300人。研究认为秦巴山区是我国滑坡发育的重灾区，对人民的生命财产构成了巨大的威胁，滑坡类型以堆积层小型滑坡为主．其发育与地形地貌、降雨、地层构造和人类工程活动关系密切，多发生在低山丘陵区，多雨年份和每年7～9月的雨季是滑坡的多发季节，由于山区地少人多，耕地紧张，当地居民建房多开挖坡脚，从而引起山体失稳．形成滑坡，危及人民生命财产安全。鉴于该地区的滑坡多以小型滑坡为主，危及对象多为单家独户，滑坡治理工程费用高，因此防治方法应以“避让”为主。同时提高当地群众的地质灾害防范意识和科学知识，也是防治滑坡灾害的必要手段。     

浙江省滑坡灾害预警预报的降雨阀值研究

根据浙江省降雨的特点,将降雨分为台风降雨和非台风降雨,采用统计方法研究了区域性滑坡灾害与台风区和非台风区降雨量及降雨强度的相关性,通过相关性分析确定了有效降雨量模型;得到了浙江省区域性滑坡发生的临界降雨量和降雨强度阀值,为实时时间预警提供了定量依据;将滑坡灾害的空间易发性与降雨量和降雨强度相结合确定了滑坡灾害的空间预警区划指标和等级;最后初步研究了滑坡发生的滞后时间。     

aiNet- and GIS-based regional prediction system for the spatial and temporal probability of rainfall-triggered landslides

We developed a real-time forecasting system, aiNet-GISPSRIL, for evaluating the spatiotemporal probability of occurrence of rainfall-triggered landslides. In this system, the aiNet (a kind of artificial neutral network based on a self-organizing system) and GIS are merged for integrating the rainfall conditions into various environmental factors that influence the landslide occurrence and for simulating the complex non-linear relationships between landslide occurrence and its related conditions. Zhejiang Province (101,800 km² in area), located in the southeast coastal region of China, is highly prone to the occurrence of landslides during intensive rainfall. Since 2003, the aiNet-GISPSRIL has been used to predict landslides during the rainy seasons in the region. The aiNet-GISPSRIL uses the regional 24-h forecast rainfall information and the real-time rainfall monitoring data from the rain-gauge network as its inputs, and then provides 24-h forecast of the landslide probability for every 1 × 1-km grid cell within the region. Verification studies on the performance of the aiNet-GISPSRIL show that the system has successfully predicted the dates and localities of 304 landslides (accounting for 66.2% of reported landslides during the period). During the period from 2003 to 2007, because the system provided the probability levels of landslide occurrences up to 24-h in advance, gave locations of potential landslides, and timely warned those individuals at high-risk areas, more than 1700 persons living in the risk sites had been evacuated to safe ground before the landslides occurred and thus casualty was avoided. This highly computerized, easy-operating system can be used as a prototype for developing forecasting systems in other regions that are prone to rainfall-triggered landslides.     

降雨型滑坡时间概率的逻辑回归拟合及连续概率滑坡危险性建模

提高降雨型滑坡危险性预警精度和空间辨识度具有重要意义.以江西宁都县1980—2001年156个降雨型滑坡为例,首先基于传统的EE-D(early effective rainfall-rainfall duration)阈值法计算不同降雨诱发滑坡的时间概率级别;然后以各级别临界降雨阈值曲线对应的时间概率为因变量,并以对应的前期有效降雨量(early effective rainfall,EE)和降雨历时(D)为自变量,采用逻辑回归拟合出上述因变量与自变量之间的非线性关系,得到降雨诱发滑坡的连续概率值;之后对比C5.0决策树和多层感知器的滑坡易发性预测性能;最后利用降雨诱发滑坡的连续概率值与易发性图相耦合以实现连续概率滑坡危险性预警.结果显示：(1)宁都降雨型滑坡连续概率值的逻辑回归方程为1/P=1+e^{4.062+0.747 4×D-0.079 44×EE},其拟合优度为0.983;(2)2002—2003年的20处用于连续概率阈值测试的降雨型滑坡大都落在连续概率值大于0.7的区域,只有4处落在小于0.7的区域;(3)C5.0决策树预测滑坡易发性的精度显著高于多层感知...     

Development of an empirical model for rainfall-induced hillside vulnerability assessment: a case study on Chen-Yu-Lan watershed,Nantou, Taiwan

In Taiwan, the hillside is about 70 % of total area. These areas also have steep topography and geological vulnerability. When an event of torrential rain comes during a typhoon, the landslide disasters usually occur at these areas due to the long duration and high intensity of rainfall. Therefore, a design which considers the potential landslide has become an important issue in Taiwan. In this study, a temporal characteristic of landslide fragility curve (LFC) was developed, based on the geomorphological and vegetation factors using landslides at the Chen-Yu-Lan watershed in Taiwan, during Typhoon Sinlaku (September 2008) and Typhoon Morakot (August 2009). This study addressed an effective landslide hazard assessment process, linking together the post-landslide damage and post-rainfall data for LFC model. The Kriging method was used to interpolate the rainfall indices (R ₀, R, I) for numerical analysis. Remote sensing data from SPOT images were applied to analyze the landslide ratio and vegetation conditions. The 40-m digital elevation model was used for slope variation analysis in the watershed, and the maximum likelihood estimate was conducted to determine the mean and standard deviation parameters of the proposed empirical LFC model. This empirical model can express the probability of exceeding a damage state for a certain classification (or conditions) of landslides by considering a specific hazard index for a given event. Finally, the vulnerability functions can be used to assess the loss from landslides, and, in the future, to manage the risk of debris flow in the watershed.