A comparative study of the main factors controlling geohazards induced by 10 strong earthquakes in Western China since the Wenchuan earthquake in 2008

Determining the main controlling factors of earthquake-triggered geohazards is a prerequisite for studying earthquake geohazards and post-disaster emergency response. By studying these factors, the geomorphic and geological factors controlling the nature, condition, and distribution of earthquake-induced geohazards can be analyzed. Such insights facilitate earthquake disaster prediction and emergency response planning.The authors combined field investigations and spatial data analysis to examine...     

2017年8月8日四川九寨沟地震诱发地质灾害空间分布规律及易发性评价初步研究

2017年8月8日四川省九寨沟发生7.0级地震,是继2008年汶川大地震和2013年芦山地震之后,四川省发生的又一次7.0级以上的强震。为了给现场救援和震后地质灾害防治提供科学依据,本文作者第一时间赶赴现场,并基于震前和震后高精度遥感影像,完成了震区地质灾害解译和复核工作,共解译地质灾害1883处,主要以中小型浅层滑坡和崩塌为主。基于解译结果,对同震灾害的空间分布规律和控制因素（距断层距离、地面峰值加速度PGA、高程、坡度和坡向等）进行了分析,研究表明地质灾害主要沿北西-南东向呈带状分布,且沿公路、沟谷较为发育,在野外推测发震断层2km范围内高度集中,呈现明显的断层效应,但与塔藏断层之间的空间相关性相对较弱。在上述分析的基础上,采用逻辑回归模型,利用地震、地形和地质3大因素（8个因子）对地质灾害易发性进行了快速评价和分区,经统计校验证明该模型的准确率达0.851,模型精度较高。     

Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China

The main purpose of this paper is to present the use of multi-resource remote sensing data, an incomplete landslide inventory, GIS technique and logistic regression model for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China. Landslide location polygons were delineated from visual interpretation of aerial photographs, satellite images in high resolutions, and verified by selecting field investigations. Eight factors, including slope angle, slope aspect, elevation, distance from drainages, distance from roads, distance from main faults, seismic intensity and lithology were selected as controlling factors for earthquake-triggered landslide susceptibility mapping. Qualitative susceptibility analyses were carried out using the map overlaying techniques in GIS platform. The validation result showed a success rate of 82.751 % between the susceptibility probability index map and the location of the initial landslide inventory. The predictive rate of 86.930 % was obtained by comparing the additional landslide polygons and the landslide susceptibility probability index map. Both the success rate and the predictive rate show sufficient agreement between the landslide susceptibility map and the existing landslide data, and good predictive power for spatial prediction of the earthquake-triggered landslides.     

汶川地震地质灾害调查成果与展望

2008年5.12汶川地震是新中国成立以来破坏性最强、诱发地质灾害最严重的一次特大地震。本文简要介绍了国土资源地质大调查计划项目“汶川地震地质灾害调查评价”的主要研究进展与成果:采用空天地一体化调查、地球物理探测、GPS位移监测、斜坡地震动测试及大型物理模拟等技术,调查和研究了汶川地震地质灾害发育特征和分布规律,揭示内外动力耦合作用下的地质灾害成灾机理,并开展了震后重建区高位滑坡泥石流防治和监测预警关键技术研究,为强震山区重大地质灾害监测预警和灾后重建提供了技术支撑。     

Susceptibility assessments of the Wenchuan earthquake-triggered landslides in Longnan using logistic regression

In this study a Wenchuan earthquake-induced landslide susceptibility assessment was carried out in the Longnan area in northwestern China using a GIS-based logistic regression model. This region has frequently been affected by landslides in the past, and was intensively affected by the 5.12 Wenchuan earthquake which received considerable international attention. The data used for this study consist of the landslides triggered by the Wenchuan earthquake and a landslide pre-disposing factor database. Information regarding the landslide causative factors came from additional data sources, such as a digital elevation model (DEM) with a 30 × 30 m² resolution, orthophotos, geological and land-use maps, precipitation records, and information on peak ground acceleration data from the 2008 earthquake. The statistical analysis of the relationship between the Wenchuan earthquake-triggered landslides and pre-disposing factors showed the great influence of lithological and topographical conditions on slope failures. The quality of susceptibility mapping was validated by splitting the study area into training and validation sections. The prediction capability analysis demonstrated that the landslide susceptibility map could be used for land planning as well as emergency planning by local authorities.     

Pre-conditioning factors and susceptibility assessments of Wenchuan earthquake landslide at the Zhouqu segment of Bailongjiang basin, China

In this study, we present a landslide susceptibility assessment carried out after the devastating 2008 Wenchuan earthquake. For the Zhouqu segment in the Bailongjiang basin in north-western China landslide susceptibility was computed by a logistic regression method. This region has been experiencing landslides for a long time, and numerous additional slope failures were triggered by the 2008 Wenchuan earthquake. The data used for this study consists of slope failures attributed to the 2008 earthquake, the 878 post Wenchuan earthquake landslides and collapses inventory build up by combination the field investigation, monoscopic manual interpretation, image classification and texture analysis using SPOT 5 and ALOS remote-sensing image data. All data derived from remote sensing images are validated during field investigations. The landslide pre-disposing factor database was constructed. A digital elevation model (DEM) with a 30 × 30 m resolution, orthophotos, geological and land-use maps and information on peak ground acceleration data from the 2008 earthquake is used. The statistical analysis of the relation between Wencuan earthquake-triggered landslides and pre-disposing factors show the great influence of lithological and topographical conditions for earthquake-triggered slope failures. The quality of susceptibility mapping was validated by splitting the study area into a training and validation set. The prediction capability analysis showed that the landslide susceptibility map could be used for land planning as well as emergency planning by local authorities in this region.     

四川5.12地震次生地质灾害的基本特征初析

2008年5月12日14时28分, 四川汶川发生里氏8.0级地震给灾区人民带来了巨大的灾难和损失, 特别是山区地震次生地质灾害所带来的严重后果是人们始料未及的.本文主要报道了四川境内震中附近几个重灾山区的地震次生地质灾害的初步调查成果, 简要论述了地震诱发的滑坡、崩塌、泥石流、地裂缝和沙土液化等次生地质灾害发育特征及其危害, 提出了地震次生地质灾害某些发育规律方面一些认识和今后需要进一步研究的问题, 对于灾后重建和高烈度区城镇规划具有一定的指导意义.      

A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran

This study describes the application of logistic regression to rock-fall susceptibility mapping along 11?km of a mountainous road on the Salavat Abad saddle, in southwest Kurdistan, Iran. To determine the factors influencing rock-falls, data layers of slope degree, slope aspect, slope curvature, elevation, distance to road, distance to fault, lithology, and land use were analyzed by logistic regression analysis. The results are shown as rock-fall susceptibility maps. A spatial database, which included 68 sites (34 rock-fall point cells with value of 1 and 34 no rock-fall point cells with value of 0) was developed and analyzed using a Geographic Information System, GIS. The results are shown as four classes of rock-fall susceptibility. In this study, distance to fault, lithology, slope curvature, slope degree, and distance to road were found to be the most important factors affecting rock-fall. It was concluded that about 76?% of the study area can be classified as having moderate and high susceptibility classes. Rock-fall point cells were used to verify results of the rock-fall susceptibility map using success curve rate and the area under the curve. The verification results showed that the area under the curve for rock-fall susceptibility map is 77.57?%. The results from this study demonstrated that the use of a logistic regression model within a GIS framework is useful and suitable for rock-fall susceptibility mapping. The rock-fall susceptibility map can be used to reduce susceptibility associated with rock-fall.     

沟道型滑坡-碎屑流运动距离经验预测模型研究

沟道型滑坡-碎屑流具有隐蔽性强、危险性高、力学机理复杂的特点,研究其运动距离预测模型具有重要的理论意义和实践意义。本文基于遥感GIS技术,结合野外调查,获取了汶川地震触发的38个沟道型滑坡-碎屑流的基础数据。通过相关性分析确定沟道型滑坡-碎屑流最大水平运动距离L的影响因素从大到小依次是滑坡体积V、最大垂直运动距离H、滑源区高差Hs、沟道段坡度β。采用逐步回归方法建立了滑坡-碎屑流最大水平运动距离L的最优多元回归模型,检验结果表明模型具有较高精度。将最优多元回归模型与国际上应用较多的滑坡运动距离和泥石流运动距离预测模型进行对比,表明考虑滑坡体积、地形落差和沟道段坡度的运动距离预测指标体系,具有最高的拟合优度和较好的物理含义,可为沟谷山区滑坡-碎屑流危险性评价提供参考依据。     

汶川地震地质灾害后效应分析

汶川地震过去3a了.3a来,大量的国内外学者对地震灾区地震地质灾害的发育分布规律、形成机理及防治对策给予了高度关注,发表了大量的研究成果.人们在关注同震地质灾害的同时,更对地震灾区今后地质灾害的发生规律及演化趋势、持续时间倾注了极大的关心,因为震后连续3a,尤其是2010年,灾区地质灾害的频率和规模均出现较震前显著增大...     

三维激光扫描测量在汶川地震后都汶公路快速抢通中的应用

都（江堰）汶（川）公路是一条高等级山区公路,同时是连接都江堰与汶川县城的主要干道,溯岷江而北上,全长108km。强烈的汶川地震导致了公路两侧大量崩塌、滑坡等地质灾害发生,严重阻断了交通生命线,由于公路沿线河谷狭窄、山高坡陡、表部岩石破碎,又适逢雨季来临,崩塌、滑坡、泥石流等次生地质灾害为震后抢险救灾及地质调查工作带来极大挑战。本文通过三维激光扫描测量技术在都汶公路快速抢通中的应用,讨论其在抢险救灾快速反应中与传统地质调查方法相结合的适用性与可行性,从中不难看出该项技术具有精度高、速度快、真实反映原型并能快速提取相关信息,其势必成为传统地质调查方法的有益补充。     

Geohazards Induced by the Lushan Ms7.0 Earthquake in Sichuan Province, Southwest China:Typical Examples, Types and Distributional Characteristics

Geohazards induced by the Lushan Ms 7.0 earthquake on April 20, 2013 mainly have four types: collapse, landslide, slope debris flow, and sand-soil liquefaction. These geohazards mainly occurred near the epicenter, on steep slopes or below cliffs in high mountain and deep valley areas, and at or near fault ends. They have no obvious relationships to active faults, but their relationships to the weathering degree and structures of rock and rock mass are obvious. Compared with the Wenchuan Ms 8.0 earthquake on May 12, 2008, the Lushan earthquake is relatively little in the impact force and the throwing amount. All of these should be related to the magnitude of this earthquake, not very large but not very little. This character of the Lushan earthquake would make some processes uncompleted so as to bring about some concealed geohazards. Finally, in order to deal with challenges presented by such conceal geohazards, some brief recommendations are put forward.     

The Wenchuan Earthquake (May 12, 2008), Sichuan Province,China, and resulting geohazards

On Monday, May 12, 2008, a devastating mega-earthquake of magnitude 8.0 struck the Wenchuan area, northwestern Sichuan Province, China. The focal mechanism of the earthquake was successive massive rock fracturing 15 km in depth at Yingxiu. Seismic analysis confirms that the major shock occurred on the Beichuan–Yingxiu Fault and that aftershocks rapidly extended in a straight northeast–southeast direction along the Longmenshan Fault zone. Fatalities approaching a total of 15,000 occurred, with a significant number resulting from four types of seismically triggered geohazards—rock avalanches and landslides, landslide-dammed lakes (“earthquake lakes”), and debris flows. China Geological Survey has identified 4,970 potentially risky sites, 1,701 landslides, 1,844 rock avalanches, 515 debris flows, and 1,093 unstable slopes. Rock avalanches and landslides caused many fatalities directly and disrupted the transportation system, extensively disrupting rescue efforts and thereby causing additional fatalities. Landslide-dammed lakes not only flooded human habitats in upstream areas but also posed threats to potentially inundated downstream areas with large populations. Debris flows become the most remarkable geohazards featured by increasing number, high frequency, and low triggering rainfall. Earthquake-triggered geohazards sequentially induced and transformed to additional hazards. For example, debris flows occurred on rock avalanches and landslides, followed by landslide-dammed lakes, and then by additional debris flows and breakouts of the landslide-dammed lakes and downstream flooding. Earthquake-induced geohazards occurred mainly along the fault zone and decreased sharply with distance from the fault. It can be anticipated that post-earthquake geohazards, particularly for debris flows, will continue for 5–10 years and even for as long as 20 years. An integrated strategy of continuing emergency response and economic reconstruction is required. The lesson from Wenchuan Earthquake is that the resulted geohazards may appear in large number in active fault regions. A plan for geohazard prevention in the earthquake-active mountainous areas is needed in advance.     

基于SHALSTAB模型的地质灾害易发性动态评价

为解决东部沿海地区台风暴雨型地质灾害易发性问题,基于浙江飞云江流域地质灾害调查成果,利用频率比及信息量模型选取相对高差、坡向、坡形、工程地质岩组、断层、地表覆盖类型、稳定性(SHALSTAB模型)7个背景因子,采用层次分析法确定各因子权重,考虑无降雨和百年一遇极端降雨两种工况,运用综合指数法对浙江飞云江流域进行地质灾害易发性评价。结果表明:该模型是致灾土体分布区定量模型和基岩区统计模型的结合,符合该区域成灾规律。考虑极端降雨因素后,易发等级逐次增加,高易发区面积增加84%,中易发区面积增加42.8%,可实现地质灾害易发性在不同工况下的动态评价。     

贵州省开阳县斜坡地质灾害孕灾因子敏感性分析

开阳县地质条件复杂，区内山地灾害频发，在进行野外地质灾害调查的基础上，选取高程、坡度、坡向、工程岩组、斜坡结构、断层、水系、归一化植被指数（NDVI）8个影响因子作为斜坡地质灾害孕灾因子。基于GIS平台，采用确定性系数模型（CF）进行开阳县斜坡地质灾害孕灾因子敏感性分析，并通过敏感性指数（E）分析各因子对开阳县斜坡地质灾害的敏感性大小。结果表明:在高程515~993 m、坡度20°~50°、坡向为东南、西和西北向、软质岩组、顺向坡地区、距断层1 000 m以内、距河流800 m以内、NDVI值处于-0.098~0.181的区域，为开阳县地质灾害敏感区；坡度、岩性、坡向、距河流距离、距断层距离、高程6个因子为开阳县地质灾害的主要控制因素，NDVI和斜坡结构具有较低的敏感性；进一步分析表明，NDVI敏感程度很可能受高程1 288~1 664 m区间和北向坡向限制；斜坡结构敏感性主要受坡向东、西2个方向限制。研究成果可为开阳县地质灾害的防灾减灾工作提供参考。      

Landslide susceptibility mapping by using fuzzy logic: a case study of Cham-gardalan catchment,Ilam, Iran

Landslides are introduced as regional movements, which influence different engineering structures such as roads, railways, and dams and cause the person’s death. Identification of landslide zones may decrease the financial losses and human injuries or deaths. This study tries to achieve a landslide susceptibility mapping in Cham-gardalan catchment by weighting the main criteria and the membership functions of fuzzy logic. For this, we applied the best relationship function between the presence and absence of landslides as well as a collection of the elements. At first, the landslide points were identified by the means of some components those of satellite images, topographical (1:50,000) and geographical (1:100,000) maps, field visits, and Google Earth software followed by the preparation of landslide distribution maps. Then, all effective landslide factors such as percentage of slope, slope aspect, height, geology, land uses, distance from roads, distance from drainages, distance from breakage, and precipitation map have been utilized in order to conduct the fuzzy analyses. Landslide susceptibility map was performed by fuzzy operators (Gamma, Product, Sum, Or, And) in the study area. After fuzzificating and weighting, the effective criteria of landslides were determined through fuzzy Gamma operators with the landaus of 0.2, 0.5, 0.8, and 0.9 and by comparing final maps for making an appropriate model of landslide susceptibility mapping. The regional susceptibility map represents the landslide-prone areas in five categories those of very low, low, moderate, high, and very high. Our results indicated that among the applied operators, Gamma with landau of 0.9 can be used as an appropriate method for mapping the landslide susceptibility due to the suitable fuzzification of given criteria based on landslide distribution maps. In addition, the elements of road, percentage of slope, distance from drainage, and geology were recognized as the most important factors for occurring the landslides.     

基于信息量模型与Logistic回归模型耦合的地质灾害易发性评价

汶川地震在区内诱发了大量滑坡、崩塌等地质灾害,且孕育了大量松动岩体,这些松动岩体在降雨等因素诱发下将会产生大量次生地质灾害,危险性极大。故此对汶川县进行地质灾害易发性评价具有十分重要的现实意义。本文选取高程、坡度、坡向、起伏度、沟谷密度、工程岩组、断层、水系、道路9个影响因子,基于GIS的栅格数据模型,采用信息量模型、Logistic回归模型以及两种模型耦合分析进行地质灾害易发性评价。研究结果表明,采用耦合模型较信息量或Logistic单一模型评价结果更加合理、精度更高;易发性高与较高区域多集中于水系延展区域与断层集中区域。所计算得出的易发性分区结果与研究区实际情况相近,能在地质灾害风险评价中起到重要参考作用。     

Robust landslide susceptibility analysis by combination of frequency ratio,heuristic GIS-methods and ground truth evaluation for a mountainous study area with poor data availability in the Three Gorges Reservoir area,PR China

Increasing number of geohazards, like mass movements, is one of the main environmental impacts following the impoundment of the Yangtze River and its tributaries due to the inventory of the Three Gorges Dam hydroelectric power plant. Although many cities and settlements are endangered, no detailed hazard mapping is possible because of the huge size of the affected area. Due to strongly limited data availability, a robust landslide susceptibility model was established exemplarily for the Xiangxi catchment as one of the main tributaries. The analyses were limited to translational, rotational and combined landslides in soft rock sediments because these represent the main types of mass movement activity in this area. The qualitative landslide susceptibility analysis was carried out by a combination of frequency ratio analyses and a heuristic iterative index-based method using a Geographical Information System. As conditioning factors, the parameters lithology, slope angle, -aspect, -curvature, drainage buffer distance and land use were applied. To improve the objectivity of the index-based method, the results of frequency ratio analyses were taken into consideration to assess the importance of each factor. Model verification and evaluation by ground truth enable to improve the model by iterative calculations and to identify the best performance model. Results indicate that 89 % of all known landslides are located within areas showing high susceptibility according to the best performance model. The study demonstrates that a rather simple but robust model achieves good results and is applicable for regional landslide susceptibility analyses in mountainous areas with poor data availability.     

2008年汶川地震滑坡详细编目及其空间分布规律分析

最新研究成果表明, 2008年5月12日汶川MS 8.0级地震触发了超过197000处滑坡。首先,基于GIS与遥感技术构建了汶川地震滑坡的3类编目图,分别为单体滑坡面分布数据、滑坡中心点位置和滑坡后壁点位置。构建方法为基于地震前后高分辨率遥感影像的目视解译方法,区分单体滑坡并圈定其边界,对滑坡后壁进行识别与定点,并开展了部分滑坡的野外验证工作。这些滑坡分布在一个面积大约为110000km2的区域内,滑坡总面积约为1160km2。选择一个面积约为44031km2的区域作为研究区,区内滑坡数量为196007个,滑坡面积为1150.622km2,这是最详细完整的汶川地震滑坡编录成果,也是单次地震事件触发滑坡最多的记录。其次,开展研究区内的地震滑坡空间分布规律的研究。基于滑坡面与滑坡中心点分别构建滑坡空间分布面积密度图与点密度图,结果表明:滑坡多沿着映秀北川断裂分布,多发生在断裂的上盘。滑坡的高密度区位于映秀北川同震地表破裂的南西段(映秀镇与北川县之间)的上盘区域,这一区域恰对应着逆冲分量为主的断裂上盘,表明逆冲断裂对上盘区域发生滑坡的极强烈的控制作用,而该区域正是形变最大的区域,因此说明是地震滑坡发生的强烈控制作用。基于滑坡面密度(LAP)、滑坡中心点密度(LCND)与滑坡后壁点密度(LTND)这3个衡量指标,使用统计分析方法,评价了汶川地震滑坡与地震参数、地质参数、地形参数的关系。结果表明:LAP、LCND与LTND这3个衡量指标与坡度、地震烈度与PGA存在明显的正相关关系; 与距离震中、距离映秀北川同震地表破裂存在负相关关系; 斜坡曲率越接近0,滑坡越不易发生; LAP、LCND与LTND的高值高程区间为1200～3000m; 滑坡发生的优势坡向为E、SE、S方向; 滑坡发育的易发岩性为砂岩与粉砂岩(Z)、花岗岩; 滑坡与坡位的相关关系不太明显。统计结果还表明LCND与LTND两个衡量指标的差异对地震与地质因子不敏感,而对地形因子较敏感。最后将本文的统计结果与以往的汶川地震滑坡空间分布规律统计成果进行了一些对比,对比结果表明,对于某些因子,如高程、岩性、距离震中、距离映秀北川断裂的统计分析结果,采用不完整的滑坡分布数据或点数据,与采用较完整的滑坡分布面数据会有一定的差异,这种差异并未出现在针对坡度与坡向等因子的统计对比结果中。总之,作者认为一个完备、详细的地震滑坡分布面要素编目图是地震滑坡空间分布规律定量分析、危险性定量分析与滑坡控制的地震区地貌演化研究的重要基础,否则,与实际情况相比,得到统计结果会有一定的偏差,本文的研究成果与以往成果的对比结果证明了这一点。     

Assessment of Geological Security and Integrated Assessment Geo‐environmental Suitability in Worst‐hit Areas in Wenchuan Quake

Abstract: The Wenchuan earthquake in 2008 and geo-hazards triggered by the earthquake caused large injuries and deaths as well as destructive damage for infrastructures like construction, traffic and electricity. It is urgent to select relatively secure areas for townships and cities constructed in high mountainous regions with high magnitude earthquakes. This paper presents the basic thoughts, evaluation indices and evaluation methods of geological security evaluation, water and land resources security demonstration and integrated assessments of geo-environmental suitability for reconstruction in alp and ravine with high magnitude earthquakes, which are applied in the worst-hit areas (12 counties). The integrated assessment shows that: (1) located in the Longmenshan fault zone, the evaluated area is of poor regional crust stability, in which the unstable and second unstable areas account for 79% of the total; (2) the geo-hazards susceptibility is high in the evaluation area. The spots of geo-hazards triggered by earthquake are mainly distributed along the active fault zone with higher distribution in the moderate and high mountains area, in which the areas of high and moderate susceptibility zoning accounts for 40.1% of the total; (3) geological security is poor in the evaluated area, in which the area of the unsuitable construction occupies 73.1%, whereas in the suitable construction area, the areas of geological security, second security and insecurity zoning account for 8.3%, 9.3% and 9.3% of the evaluated area respectively; (4) geo-environmental suitability is poor in the evaluated area , in which the areas of suitability and basic suitability zoning account for 3.5% and 7.3% of the whole evaluation area.