共查询到19条相似文献，搜索用时 140 毫秒
1.
越来越多的地震滑坡相对于地震断层的不对称分布震例让人们意识到断层上盘效应的存在。 然而,目前有关断裂运动方式与滑坡空间分布关系的研究还不够充分和深入。在收集大量地震滑坡震例资料并获得其分布规律的基础上,建立了一个简化的断层模型,以地震波在地表与断层面之间反射传播特性为基础,探讨断层倾角改变对地表地震动强度的影响。进而,以汶川地震触发的大型滑坡为例,研究了断层的几何特征和运动方式对诱发滑坡空间分布的影响。结果表明,断层的倾角对滑坡空间分布范围具有控制作用,随着倾角的增加,垂直断层走向的滑坡分布范围逐渐减小;并且,大型滑坡的初始坡面受到断裂运动方向的影响,与断裂运动方向一致的坡面更容易发生滑坡。所获结果不仅有助于提高区域性地震滑坡危险区域的预测精度,而且对认识大型滑坡的滑动机制、主控因素以及可能的滑动规模、滑距等也起到促进作用。通过对滑坡崩塌的认识来辅助提高对地质构造、地震断层等的认识,应是地震诱发滑坡崩塌研究的新的意义所在。 相似文献
2.
地震滑坡危险性评估模型及初步应用 总被引：4，自引：0，他引：4
统计分析了汶川地震滑坡在不同影响因子下数量和密度,然后采用归一化方法确定影响地震滑坡的关键因子。基于关键因子建立了地震滑坡密度数学模型。结果表明:从滑坡数量看,滑坡主要集中在(10°~20°)至(40°~50°)的坡度(90 m栅格)区间,主体集中在35°附近,在3°~7°之间有一个滑坡分布的小峰值;滑坡密度随着坡度的增加而增加,在3°~7°的低坡地带有一个滑坡密度小峰值,在坡度一定的情况下,除了烈度外,其他影响因子下滑坡密度并没有表现出足够明显的规律性变化;归一化计算结果表明:坡度和烈度是地震滑坡的关键因子;根据逻辑斯蒂模型计算的结果,将地震滑坡危险性分为几无(≤0.01)、轻微(0.01~0.03)、中等(0.03~0.09)、严重(0.09~0.27)、特重(≥0.27)5个等级。地震滑坡危险性预测数据在鲁甸地震等地震应急中发挥了较好作用。 相似文献
3.
基于综合指标法的芦山地震滑坡危险区等级快速划分 总被引：1，自引：0，他引：1
山区强烈地震诱发的滑坡崩塌是一种致灾严重、发生范围较广的灾害,进行地震滑坡危险区划是降低损失的有效手段之一。以2013年4月20日MW7.0芦山地震为例,以芦山县、宝兴县及其周边受滑坡崩塌灾害影响较为严重的区域作为研究对象,选定地层岩性、坡度、地震烈度、距断层距离和距水系距离等5类与地震滑坡关系密切的影响因子,采用层次分析法确定每个影响因子的权重,继而采取综合指标法,将研究区划分为低危险、中度危险、较高危险和最高危险4个等级的危险区,用以表示该区域在遭受给定的地震烈度作用下发生地震滑坡的可能性的大小。实地勘察的滑坡点分布与预测的地震滑坡危险区的对比表明,两者吻合程度较高,约有77%的滑坡点落在较高危险和最高危险区。研究成果可为地震滑坡灾害应急、山区地震滑坡预测、滑坡灾害预防等工作提供参考依据。 相似文献
4.
由于逆断层作用,2013年芦山MS 7.0地震诱发的崩滑地质灾害分布表现出了明显的上盘效应与方向效应。在震后应急科考中未发现发震断层的地表破裂带,然而灾区大量出现的地震诱发滑坡、崩塌,加之密集的余震分布、地震烈度调查结果等,提供了确定芦山地震宏观震中、地震动错动方向以及研究地震发震构造等的诸多线索。 统计结果表明,芦山地震诱发的滑坡、崩塌具有明显的优势滑动方向（135°～144°）,该方向揭示了地震断层的错动方向,与震源机制解反映的一致,大体垂直于发震断层的走向;从地震诱发崩塌、滑坡灾害点的分布与密度判断,宏观震中位于宝盛乡北,在仪器记录震中东北约3.6km处;从余震群分布、地震诱发滑坡分布特点及地震等烈度线等,结合以往强震如汶川地震等的调查经验,推测当震级足够大时,发震断层地表破裂带可能通过地质灾害、余震密集区东侧的边缘地带,总体平行于双石-大川断裂。另外,通过分析地层岩性与崩滑地形条件之间的关联性,发现崩滑灾害在某些地层岩性中易发,灾害点呈线性排列的原因是不同地层岩性之间抗风化能力的差异性,造成在地层分界线上形成线性陡崖或高坡度地带,使之在强震作用下容易发生崩塌、滑坡。 相似文献
5.
2022年1月8日发生的门源M6.9地震诱发了崩塌、滑坡、砂土液化、地裂缝等多种同震地质灾害。通过对门源M6.9地震地质灾害进行现场调查,得出了地质灾害的分布特征和各类型地质灾害的主要特点,分析了地震地质灾害不发育的原因,并对地震地质灾害的长期效应进行了分析预测。研究结果表明：门源地震诱发地质灾害主要分布在震中附近;崩塌、落石总体规模较小,滑坡多为岩质滑坡,且以冰碛物和表层岩土体的溜滑为主。受表层土体冻结和孔隙水压力消散的影响,饱和砂土液化沿较窄的地裂缝呈串珠状分布,喷出物多为粉细砂。地震形成了4条左旋左阶斜列的地表破裂带,并在极震区内形成了大量的地裂缝。断层破碎带对地震动的阻隔作用、覆盖层薄、地表土冻结可能是造成本次地震地质灾害总体不发育的主要原因;地震产生的大量地裂缝导致斜坡和堆积体的稳定性减弱,在耦合集中降雨、冻融作用等因素后可能诱发滑坡灾害,松散堆积于沟床处的崩滑物作为物源,可能会增加地震影响区泥石流灾害的风险。 相似文献
6.
中国西南地区地震滑坡的基本特征 总被引：28，自引：2，他引：28
本文总结了中国云南、川西地区１９７０年以来Ｍ≥６．７级强震的滑坡资料，归纳了该区地震诱发滑坡的地质地貌特征。认为把地震滑坡按其运动方式而划分为推移式滑坡、牵引式滑坡、溜滑性滑坡和崩塌性滑坡这四种类型有利于对地震滑坡灾害的评估。统计结果表明，大部分滑坡体的体积小于５００００ｍ￣３，滑坡体的厚度以０．５－５ｍ为主，因而西南地区的地震滑坡以浅层小型滑坡为主；滑坡均发生于第四系堆积层中，其中又以残积层中最为发育；这些滑坡主要沿四种结构软弱面发生；边坡的坡度对滑坡亦有一定的控制作用，一般来说，滑坡主要发生在坡度为３０°－５０°的斜坡上，其中最有利的坡度为３５一４０；地震滑坡的分布面积则主要取决于震级的大小，虽然它们之间没有明显的相关关系，但随震级的加大，地震滑坡的最大震中距和最大分布面积大致是增加的。一般来说，产生新的滑坡所需的最小地震烈度为７度，而诱发老滑坡所需的最小烈度则为６度，二者相差约１度左右。此外，滑坡的分布在很大程度上受地震断层的控制，其分布主方向和地震断层的方向大致相同。最后，本文在归纳了西南地区地震滑坡灾害特点的基础上，提出了在西南地区进行地震滑坡灾害评价的若干要点。 相似文献
7.
GIS支持下的地震诱发滑坡危险区预测研究 总被引：24，自引：0，他引：24
为了满足对地震诱发滑坡危险区预测的不断增长的迫切要求，灾害评价成为帮助决策过程重要的基础工具之一。即使地震滑坡危险性各组份的评价很困难，但地理信息可辅助提出这种灾害制图的有关方法。描述了用于地理信息系统识别和定量计算不同地震滑坡危险区的技术方法，确定了地震烈度、地形坡度、岩土体类型和现存滑坡密度共4个因子参与的地震诱发滑坡危险性分析。在ARC／INFO DRID支持下，进行叠合分析，由此编制了云南省地震诱发滑坡危险区预测图。由地貌学家提出的地震诱发滑坡预测为规划和工程师提供了对区域规划和建筑工程有价值的技术方法。 相似文献
8.
9.
彝良地震地质灾害特征及其空间分布分析 总被引：1，自引：1，他引：0
2012年9月7日11时19分和12时16分在云南省彝良县与贵州省威宁县交界处相继发生5.7级和5.6级地震(简称"9·07"彝良地震),此次地震诱发了大量的次生地质灾害,文中基于现场调查和遥感影像目视解译的方法得到了彝良地震地质灾害的空间分布图,并对其分布特征做了分析。统计结果表明,此次地震诱发的地质灾害约213处,总面积约为0.67km2,地质灾害类型多样,但以崩塌、滚石为主。利用GIS空间分析功能,对此次地震诱发地质灾害的所在烈度区、地层、坡度和距水系、道路的距离等5个影响因子进行统计分析,深入揭示了影响因子对地震诱发地质灾害的控制作用。结果表明,此次地震诱发的次生地质灾害:1)多发生于沿洛泽河一带的石炭系内;2)多发生在Ⅷ度区内,且与烈度呈正相关关系;3)主要分布在坡度20°~50°范围;4)密集发生在距水系、道路的距离为500m内的区域,且与距水系、道路的距离呈负相关关系。 相似文献
10.
Newmark方法在芦山地震诱发滑坡分布预测研究中的应用 总被引：9，自引：2，他引：7
对于地震滑坡灾害而言,进行地震滑坡危险区划是降低损失的有效手段之一.因此,地震滑坡危险性预测方法的研究成为这一领域的热点.2013年4月20日芦山地震诱发了大量的滑坡崩塌,造成了严重的人员伤亡和社会经济财产损失.文中通过对地震灾区震后航片、遥感影像等的解译,初步获得此次地震诱发滑坡的分布概况.在芦山地震灾区的地形和岩性分析的基础上,基于Newmark物理平衡模型,对该区的潜在地震滑坡危险区进行了分析预测,通过对比本研究获得的潜在滑坡区域预测结果与解译的滑坡分布情况,表明Newmark模型是一种有效的地震诱发滑坡预测分析方法.进一步探讨了不同滑坡影响范围估算方法的差异,认为震级与产生滑坡最远距离之间的关系是一种较好的估算方法. 相似文献
11.
为提高地震人员伤亡预评估的准确性,完善地震灾害损失评估模型,科学评估地震地质灾害可能造成的人员伤亡数量,以2014年鲁甸MS6.5地震滑坡人员死亡数据为样本,建立了一种基于公里网格单元的地震滑坡人员死亡率logistic回归模型。采用F检验法对所建模型的合理性进行检验,计算得到的F值无限接近于1,表明模型无限接近于完全模型,具有极好的数学统计意义。根据模型评估的死亡率反演得到鲁甸地震灾区滑坡致死人数为233人,比实际少17人,总精确度为93.20%,实际死亡人数与模型识别人数在空间上也有很好的一致性,说明计算得到的地震滑坡人员死亡率是实际死亡人数的良好指标。 相似文献
12.
On August 3, 2014, an MW6.5 earthquake occurred in Ludian County, Yunnan Province, which triggered significant landslides and caused serious ground damages and casualties. Compared with the existing events of earthquake-triggered landslides, the spatial distribution of co-seismic landslides during the Ludian earthquake showed a special pattern. The relationship between the co-seismic landslides and the epicenter or the known faults is not obvious, and the maximum landslide density doesn't appear in the area near the epicenter. Peak ground acceleration (PGA), which usually is used to judge the limit boundary of co-seismic landslide distribution, cannot explain this distribution pattern. Instead of correlating geological and topographic factors with the co-seismic landslide distribution pattern, this study focuses on analyzing the influence of seismic landslide susceptibility on the co-seismic distribution. Seismic landslide susceptibility comes from a calculation of critical acceleration values using a simplified Newmark block model analysis and represents slope stability under seismic loading. Both DEM (SRTM 90m)and geological map (1 ︰ 200￣￣000)are used as inputs to calculate critical acceleration values. Results show that the most susceptible slopes with the smallest critical accelerations are generally concentrated along the banks of rivers. The stable slopes, which have the larger critical accelerations and are comparably stable, are in the places adjacent to the epicenter. Comparison of the distribution of slope stability and the real landslides triggered by the 2014 MW6.1 Ludian earthquake shows a good spatial correlation, meaning seismic landslide susceptibility controls the co-seismic landslide distributions to a certain degree. Moreover, our study provides a plausible explanation on the special distribution pattern of Ludian earthquake triggered landslides. Also the paper discusses the advantages of using the seismic landslide susceptibility as a basic map, which will offer an additional tool that can be used to assist in post-disaster response activities as well as seismic landslides hazards zonation. 相似文献
13.
长期、缓慢的地貌演化具有阶段性的特点,构造抬升与侵蚀相互作用引起山坡物质运移,使地貌单元具有向相对稳定状态转变的趋势。滑坡作为山坡物质运移的一种主要方式,在地貌演化过程中起到了重要作用。2014年鲁甸MS6.5地震诱发了异常多的滑坡,可以看作是该区地貌物质在短时间内发生的集中调整过程。这些滑坡主要沿河流分布,表明河流侵蚀使河岸地形变陡、强度降低,形成发生物质运移的有利条件,从而增强了地震滑坡的易发性。文中以SRTM 30m数字高程模型(DEM)为基础,通过对鲁甸地震滑坡分布区的网格化划分,对研究区滑坡分布及其与地形特征的关系进行了定量分析。除计算网格单元内的高程、高差及算数平均坡度外,还提出期望坡度的计算方法以对网格单元内的地形进行平滑。在此基础上,对该区域地貌特征参数自相关性进行了分析和比较,以判断地表物质分布是否均衡并寻找其中的分异性单元(滑坡易发区)。结果表明,研究区的高程与坡度、地形高差呈负相关,反映出显著的河流侵蚀效应;其中地形特征在分析单元的期望坡度与算数平均坡度这2个不同尺度下表现出很高的一致性,可能代表着研究区地貌在演化中具有的一种动态稳定特征,而与此特征不符的地貌单元则是可能发生滑坡进行物质调整的区域,是地貌自适应调整的一种表现。2014年鲁甸地震触发的大部分规模较大的滑坡发生在期望坡度与平均坡度差异较大的区域,这些区域大多位于河谷,显示河流侵蚀及其所造成的地形特征对滑坡易发性的控制作用。基于这样的认识,认为该区未来的物质运移区域仍然受到河流侵蚀的控制,滑坡易发性高的位置仍将沿河流分布。作为对比的九寨沟地震震区的地貌参数分析结果则表现出不同的特点,这种地形地貌分布上的差异性与滑坡空间分布及滑坡规模等之间的关系值得深入探讨。 相似文献
14.
The 2013-04-20 Lushan earthquake(seismic magnitude Ms 7.0 according to the State Seismological Bureau)induced a large number of landslides.In this study,spatial characteristics of landslides are developed by interpreting digital aerial photography data.Seven towns near the epicenter,with an area of about 11.11 km2,were severely affected by the earthquake,and 703 landslides were identified from April 24,2013 aerial photography data over an area of 1.185 km2.About 55.56% of the landslide area was less than 1000 m2,whereas about 3.23 % was more than 10,000 m2.Rock falls and shallow landslides were the most commonly observed types in the study area,and were primarily located in the center of Lushan County.Most landslide areas were widely distributed near river channels and along roads.Five main factors were chosen to study the distribution characteristics of landslides:elevation,slope gradients,fault,geologic unit and river system.The spatial distribution of coseismal landslides is studied statistically using both landslide point density(LPD),defined as the number of landslides(LS Number)per square kilometer,and landslide area density(LAD),interpreted as the percentage of landslides area affected by earthquake.The results show that both LPD and LAD have strong positive correlations with five main factors.Most landslides occurred in the gradient range of 40°-50° and an elevation range of 1.0-1.5 km above sea level.Statistical results also indicate that landslides were mainly formed in soft rocks such as mudstone and sandstone,and concentrated in IX intensity areas. 相似文献
15.
2014年8月3日,云南省昭通-鲁甸地区发生MS6.5级地震,造成了重大的人员伤亡和财产损失.鲁甸震区位于扬子块体的西缘,小江断裂带的东侧北东向的昭通-莲峰断裂带内.由于至今没有穿越该断裂带的人工源深地震测深剖面,而丽江-攀枝花-清镇650 km长深地震测深剖面距离鲁甸主震区不超过50 km,利用宽角地震资料的初至波震相,通过有限差分反演揭示该地区上地壳速度结构,可以为鲁甸震区的地震定位、地震孕育机制等提供深部速度模型.速度剖面显示：剖面结晶基底厚度平均为2 km左右;小江断裂带速度较低,东西两侧的速度较高;因此小江断裂带区域地壳强度比较低,加上断裂两侧的应变速率很高,所以小江断裂带和旁边的鲁甸-昭通断裂带,未来具有发生较大地震的可能,值得关注. 相似文献
16.
2014年云南鲁甸“8·03”MS6.5地震造成了重大人员伤亡和财产损失，诱发了大量滑坡、崩塌、泥石流等地质灾害。基于对鲁甸县龙头山幅（G48E006006）地质灾害调查数据和对典型地质灾害的剖析，震后地质灾害发育分布有特征如下：（1）震后地质灾害较震前成倍增长，震前地质灾害多以中小型浅层崩滑为主，地震诱发了诸如甘家寨、红石岩等大型—特大型滑坡、崩塌，大量沟谷崩滑堆积物为泥石流储备了丰富的物源；（2）震中高烈度区域地质灾害密度大，沿发震断裂带NNE—NE向构造密集发育，震中区龙头山镇地质灾害发育最为集中；（3）地质灾害呈带状分布，明显受控于河流水系（牛栏江、沙坝河、龙泉河等）、公路（昭巧二级公路、沙乐公路）等线性地貌单元和线性工程，人类活动影响明显。 相似文献
17.
本文首先介绍了利用六旋翼无人机倾斜摄影系统和动力三角翼倾斜摄影系统在云南鲁甸地震现场开展倾斜摄影数据采集、三维建模的相关工作，利用建立的三维模型，分别对灾区房屋震害、滑坡、滚石、堰塞湖地震地质灾害进行了系统的分析研究。相关研究表明:倾斜摄影技术可以表现地震灾害场景和具体灾害特征，对遥感在地震灾情精细化分析及了解灾区建筑物的布局、破坏程度和恢复重建建筑现状方面具有重要的意义。该项工作是地震领域初次利用倾斜摄影技术开展的相关研究，对于进一步深入研究倾斜摄影新技术在地震灾害领域和其他相关领域的工作具有很好的借鉴作用。 相似文献
18.
CHARACTERISTICS AND FORMATION MECHANISM OF LARGE ROCK AVALANCHES TRIGGERED BY THE LUDIAN MS6.5 EARTHQUAKE AT HONGSHIYAN AND GANJIAZHAI 
下载免费PDF全文
下载免费PDF全文 The 3 August 2014 Ludian, Yunnan MS6.5 earthquake has spawned more than 1, 000 landslides which are from several tens to several millions and over ten millions of cubic meters in volumes. Among them, the Hongshiya and Ganjiazai landslides are the biggest two with volumes over 1 000×104m3. The Hongshiya and Ganjiazai landslides are two typical landslides, the former belongs to tremendous rock avalanche, and the latter belongs to unconsolidated werthering deposit landslide developed in concave mountain slope. Based on field investigations, causes and formation mechanism of the two landslides are discussed in this study. The neotectonic movement in the area maintains sustainable uplifting violently all the time since Cenozoic. The landform process accompanied with the regional tectonic uplifting is the violent downward erosion along the Jinshajiang River and its tributary, forming landforms of high mountains and canyons, deeply cut valleys, with great height difference. The regional seismo-tectonics situation suggests that:Ludian earthquake region is situated on the southern frontier boundary of Daliangshan secondary active block, and is seismically the strongest active area with one earthquake of magnitude greater than M5.0 occurring every 6 years. Frequent and strong seismicity produces accumulated effects on the ground rock to gradually lower the mechanical strength of slopes and their stability, which is the basis condition to generate large-scale collapse and landslide at Hongshiyan and Ganjiazhai. The occurring of Hongshiyan special large rock avalanche is associated with the large terrain height difference, steep slope, soft interlayer structure and unloading fissures and high-angle joints. The formation mechanism of Hongshiyan rock avalanche may have three stages as follows:Stage 1, when P wave arriving, under the situation of free surface, rocks shake violently, the pre-existent joints(in red)parallel to and normal to the river and unloading cracks are opened and connected. Stage 2, on the basis of the first stage, when S wave arriving, the ground movement aggravates. Joints(in green)along beds develop further, resulting in rock masses intersecting each other. Stage 3, rock masses lose stability, sliding downward, collapsing, and moving over a short distance along the sliding surface to the inside of the valley, blocking the river to form the dammed lake. The special large landslide at Ganjiazhai is a weathering layer landslide occurring in the middle-lower of a large concave slope. Its formation process may have two stages as follows:Firstly, under strong ground shaking and gravity, the ground rock-soil body around moves and assembles to the lower of the central axis of the large concave slope, which suffers the largest earthquake inertia force and firstly yields plastic damage to generate compression-expansion deformation, because of the largest water content and volume-weight within the loose soil of it. Secondly, in view of the steep slope, along with the compression, the plastic deformation area enlarges further in the lower of slope, giving rise to a tensional stress area along the middle of the slope. As soon as the tensional stress exceeds the tensile strength of the weathering layer, a tensional fracture will occur and the landslide rolls away immediately making use of momentum. This two large landslides are the basic typical ones triggered by the MS6.5 Ludian earthquake, and their causes and mechanism have a certain popular implication for the landslides occurring in this earthquake region. 相似文献
19.
Different models were developed for evaluating the probabilistic three-dimensional (3D) stability analysis of earth slopes and embankments under earthquake loading using both the safety factor and the displacement criteria of slope failure. In the 3D analysis, the critical and total slope widths become two new and important parameters.The probabilistic models evaluate the probability of failure under seismic loading considering the different sources of uncertainties involved in the problem, i.e. uncertainties stemming from the discrepancies between laboratory-measured and in-situ values of shear strength parameters, randomness of earthquake occurrence, and earthquake-induced acceleration. The models also takes into consideration the spatial variabilities and correlations of soil properties.Five probabilistic models of earthquake-induced displacement were developed based on the non-exceedance of a limited value criterion. Moreover, a probabilistic model for dynamic slope stability analysis was developed based on 3D dynamic safety factor.These models are formulated and incorporated within a computer program (PTDDSSA).A sensitivity analysis was conducted on the different parameters involved in the developed models by applying those models to a well-known landslides (Selset landslide) under different levels of seismic hazard.The parametric study was conducted to evaluate the effect of different input parameters on the resulting critical failure width, 3D dynamic safety factor, earthquake-induced displacement and the probability of failure. Input parameters include: average values and coefficients of variations of water table, cohesion and angle of friction for effective stress analysis, scales of fluctuations in both distance and time, hypocentral distance, earthquake magnitude, earthquake strong shaking period, etc.The hypocentral distance and earthquake magnitude were found to have major influence on the earthquake-induced displacement, probability of failure (i.e. probability of allowable displacement exceedance), and dynamic 2D and 3D safety factors. 相似文献