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1.
基于ArcGIS平台,利用SRTM3-DEM数据资料,选择鄂尔多斯及其周缘为研究区,计算并定量分析了地形起伏度和坡度,并利用区域滑坡灾害调查资料,初步建立了地形起伏度、坡度与滑坡灾害之间的相关性,讨论了地形起伏度的区域地貌意义。结果表明,研究区滑坡集中发育地区的地形起伏度为200￣300m,在此范围内滑坡占研究区所有滑坡总数的48.5%,此区间的面积占研究区总面积的20.3%;坡度为10￣18°,此范围内滑坡占研究区所有滑坡总数的46.7%,而此区间的面积占研究区总面积的30.5%。在地貌类型上,滑坡集中发育地区对应残丘、黄土塬及黄土墚等。通过研究区横向、纵向剖面的地形特征分析,表明地形起伏度和坡度分析是相互补充的,它们均与区域滑坡发生和分布存在良好的相关性。这种相关性为区域滑坡灾害评价提供了新的思路,对区域防灾规划和灾害区预测具有重要的应用意义。 相似文献
2.
元谋县地质灾害频发,严重威胁了人民生命及财产安全。为了研究境内地质灾害区的地貌特征,以GIS为平台,结合DEM数据提取了研究区高程、坡度信息,并计算了地表粗糙度及地形起伏度。并利用研究区灾害调查资料,探讨了高程、坡度、地表粗糙度、地形起伏度与地质灾害之间的相关性。最终结果表明地质灾害分布受地貌特征制约,地质灾害点分布的区域地貌主要表现为高程1500~2000m的次中山、坡度为25°~73°的险坡,地形起伏度为75~200m的小起伏和地表粗糙度为1.3~1.5的区域。 相似文献
3.
近年来受多次地震影响,芦山县的地质环境和生态结构较为脆弱,滑坡灾害高发,制约了县内基础建设和经济发展,威胁着人民生命财产安全,研究静态地质环境下芦山县滑坡影响因素的空间分异性,可为区内国土空间规划提供基础资料,为滑坡灾害预测与防治提供数据支持。本文使用信息量模型和地理探测器分析了高程、坡度等12个影响因素与滑坡发育的关系,总结了滑坡发育规律,分析了影响因素的空间分异特征,并使用GIS加权叠加生成了滑坡易发性评价图。研究结果表明: ①滑坡主要集中于高程较低([571,1 300) m)、距道路距离较近([0,300) m)、距水系距离较近([0,300) m)、地形起伏度较小([0,30) m)、坡度较缓([0°,30°))、距断层距离较近([0,600) m)的地区,岩土类型以粉砂质泥岩、泥质粉砂岩、泥岩等软弱沉积岩和砂卵砾石土层的第四系堆积物为主,土地利用类型以建设用地、农业用地等为主; ②滑坡发育主要受高程、距道路距离、工程地质岩组等因素控制,此外土地利用类型、距水系距离、地形起伏度、坡度、距断层距离等因素也有较高的贡献率; ③两种不同影响因素对滑坡发育的作用较单一因素而言均呈现双因子或非线性增强,以高程和距道路距离与其他因素的交互作用最为强烈; ④滑坡高易发区和极高易发区主要分布于东南部中低山峡谷区、丘陵区以及河流沟谷地貌。 相似文献
4.
西藏地区地形地貌复杂,构造活动强烈,气候条件多样,地质灾害频发,对全区经济建设和社会发展的影响日趋显著。其中,崩塌、滑坡是西藏地区常见的地质灾害,为了定量分析研究区内崩塌、滑坡影响因子的敏感性,文中基于GIS与确定性系数分析方法,选取了坡度、坡向、地形起伏度、坡形、高程、距地质构造距离、河网密度、工程地质岩组等8个因子开展了崩塌、滑坡影响因子敏感性分析。分析结果表明:(1)西藏地区崩塌、滑坡影响因子高敏感性区间为:斜坡坡度大于30°,坡向为南东向、南向、南西向,地形起伏度在200~800 m/km^(2),坡形为凹形坡,高程在1500~4500 m,距地质构造距离0~3 km,河网密度>0.5 km/km^(2),代号为YJ2、TS1、TS2、BZ1的岩组,灾害与影响因子之间表现出较好的相关性。(2)影响因子间的敏感性大小:坡度>工程地质岩组>高程>坡形>河网密度>地形起伏度>坡向>距地质构造距离。研究结果对西藏地区崩塌、滑坡易发性评价工作提供了参考。 相似文献
5.
利用调查获得的滑坡数据资料,结合野外实地考察,对川西高原岷江、大渡河和安宁河流域滑坡发生的海拔高程、地形坡度和坡高等参数进行了统计分析,并将这些统计结果与深切河谷地貌特征进行对比分析。结果表明,岷江上游、安宁河流域的滑坡高程主要集中在1500~2000m,大渡河流域滑坡主要发生在海拔高程1000~1500m和1500~2000m。滑坡发生的地形坡度主要分布在15°~35°,岷江流域有45.21%滑坡发生在地形坡度35°~55°处;大渡河和安宁河流域滑坡主要集中在地形坡度15°~45°之间。分析指出,川西高原绝大部分滑坡主要发生在河流“V”型谷地中,并受深切河谷地形地貌形态特征的控制。晚第四纪时期青藏高原快速隆升主导了河谷的深切作用,成为青藏高原东缘群发性地质灾害发生和分布的主要内动力控制因素。 相似文献
6.
为了理清地形地貌对砂岩型铀矿赋存的制约作用,基于GIS技术,利用DEM影像数据提取了中卡兹库姆地区高程、坡度、坡向、地形起伏度及条带剖面等各类地貌因子,并与研究区探明的砂岩型铀矿进行空间关联与定量化分析。研究结果表明砂岩型铀矿赋存的有利地形地貌条件:高程为100~400 m、坡度为0°~5°、地形起伏度为10~35 m、亚流域面积-高程积分值为0.3~0.6;中卡兹库姆地区存在4个较为明显的夷平面,高程分别为:Ⅰ级2 200 m,Ⅱ级1 600 m,Ⅲ级1 100 m,Ⅳ级330~400 m,砂岩型铀矿发育于Ⅳ级夷平面附近;砂岩型铀矿集中于低海拔和低地形起伏度的地区,二者可作为砂岩型铀矿找矿预测的主要参考因素。最后根据地貌因子圈定了中卡兹库姆地区砂岩型铀矿赋存的有利区域,为该区砂岩型铀矿找矿提供依据。 相似文献
7.
川藏交通廊道位于青藏高原中东部,是世界上隆升和地貌演化最快的区域之一。在内外动力耦合作用下,区内滑坡灾害极其发育,严重制约着公路、铁路和水电工程的规划建设。在区域地质资料收集和整理的基础上,选取岩性、坡度、坡向、坡形、地形起伏度、地形粗糙度、断裂密度和河流距离8个因素为评价因子,结合传统信息量和逻辑回归模型的优势,采用逻辑回归–信息量模型对研究区滑坡进行易发性评价。通过对评价因子的多重共线性和显著性检验,得到评价因子不存在多重共线性且均对滑坡发生具有显著影响。采用ROC曲线对评价结果进行检验,其AUC值为0.81,表明评价模型能很好地预测滑坡的发生。易发性评价结果表明:研究区高易发区主要集中龙门山断裂带、金沙江断裂带、澜沧江断裂带、怒江断裂带、边坝–洛隆断裂带等大型活动断裂带控制区,以及区内坡度陡峭、地形起伏度大的大型河流深切河谷的两岸;中易发区在区内分布广泛,主要分布在岸坡较陡、地形起伏度中等的大型河流支流的两岸。研究结果有利于加深对川藏交通廊道滑坡发育分布的认识,也可为研究区的工程规划建设和防灾减灾提供科学依据。 相似文献
8.
重庆市喀斯特槽谷地区农村居民点分布与地貌形态要素关系研究 总被引：1，自引：0，他引：1
选取喀斯特槽谷地区——重庆市石柱土家族自治县鱼池镇团结村农村居民点为研究对象,借助ArcGIS空间分析和地统计法,综合应用地貌-面积频度分布指数和信息熵分析了不同海拔、坡度、坡向、地形起伏度、地表粗糙度、剖面曲率和平面曲率7个地貌形态要素间农村居民点的分布特征。结果表明:①农村居民点分布的优势地形位分别为高程956.2~1000m,坡度5°~15°,坡向SW、W、NW和E,地形起伏度0~1m,地表粗糙度1.0~1.1,剖面曲率和平面曲率0°~5°的低地形位上;②在槽谷谷底,农村居民点信息熵的最大值为1.15,最小值为0.02,说明农村居民点在低地形位上分布的有序性较高。 相似文献
9.
基于SRTM DEM的地形起伏度对天水市黄土滑坡的影响分析 总被引：2，自引：0，他引：2
以天水市辖区30 m分辨率的SRTM DEM数据为基础,首先利用GIS空间分析模块中邻域统计分析法,依次选取2×2、3×3、4×4、…、28×28、29×29、30×30共29个矩形邻域分析窗口,运用均值变点分析法进行最佳计算单元的计算分析。结果表明：12×12的网格大小（12.96×104 m2）为曲线突变的拐点,作为曲线由陡变缓的阈值,确定12×12的网格大小（12.96×104 m2）为研究区地形起伏度计算的最佳单元,生成研究区地形起伏度分级图。进而采用确定性系数法（CF）、证据权法、信息量法和条件概率法对研究区发育的黄土滑坡灾害与地形起伏度之间的相关关系进行了定量分析。研究结果表明,区内地形起伏度影响因子层中地形起伏度60~120 m的分级因子层为黄土滑坡灾害的易发因子层,而其中60~90 m区间的值最大,为黄土滑坡灾害的优势因子区间,对滑坡的响应最敏感。 相似文献
10.
基于GIS的广东省滑坡灾害区划研究 总被引：14，自引：1，他引：14
以广东省小流域分布图为底图,在详细收集全省历史滑坡及现代滑坡资料的基础上,编制了全省滑坡灾害分布图,在ArcGIS8 3平台上,首先将两图进行空间叠加,生成了全省滑坡灾害易发程度分区图,以此分区图与广东省地形坡度、地层岩性、地貌分布、降雨分布图叠加分析,结果表明:广东省滑坡灾害易发区主要发生在地形坡度在10°～45°之间,地貌分布多为中、小起伏山地以及丘陵地区,地层岩性多为极硬、次硬及软硬相间岩层,以及高降雨区。 相似文献
11.
Landslides triggered by slipping-fault-generated earthquake on a plateau: an example of the 14 April 2010, Ms 7.1, Yushu, China earthquake 总被引：3，自引：1，他引：2
On 14 April 2010 at 07:49 (Beijing time), a catastrophic earthquake with Ms 7.1 struck Yushu County, Qinghai Province, China. A total of 2,036 landslides were interpreted from aerial photographs and satellite images, verified by selected field checking. These landslides cover about a total area of 1.194 km2. The characteristics and failure mechanisms of these landslides are presented in this paper. The spatial distribution of the landslides is evidently strongly controlled by the locations of the main co-seismic surface fault ruptures. The landslides commonly occurred close together. Most of the landslides are small; there were only 275 individual landslide (13.5 % of the total number) surface areas larger than 1,000 m2. The landslides are of various types. They are mainly shallow, disrupted landslides, but also include rock falls, deep-seated landslides, liquefaction-induced landslides, and compound landslides. Four types of factors are identified as contributing to failure along with the strong ground shaking: natural excavation of the toes of slopes, which mean erosion of the base of the slope, surface water infiltration into slopes, co-seismic fault slipping at landslide sites, and delayed occurrence of landslides due to snow melt or rainfall infiltration at sites where slopes were weakened by the co-seismic ground shaking. To analyze the spatial distribution of the landslides, the landslide area percentage (LAP) and landslide number density (LND) were compared with peak ground acceleration (PGA), distance from co-seismic main surface fault ruptures, elevation, slope gradient, slope aspect, and lithology. The results show landslide occurrence is strongly controlled by proximity to the main surface fault ruptures, with most landslides occurring within 2.5 km of such ruptures. There is no evident correlation between landslide occurrences and PGA. Both LAP and LND have strongly positive correlations with slope gradient, and additionally, sites at elevations between 3,800 and 4,000 m are relatively susceptible to landslide occurrence; as are slopes with northeast, east, and southeast slope aspects. Q4 al-pl, N, and T3 kn 1 have more concentrated landslide activity than others. This paper provides a detailed inventory map of landslides triggered by the 2010 Yushu earthquake for future seismic landslide hazard analysis and also provides a study case of characteristics, failure mechanisms, and spatial distribution of landslides triggered by slipping-fault generated earthquake on a plateau. 相似文献
12.
汶川MS8.0级地震、芦山MS7.0级地震和鲁甸MS6.5级地震均引发了大量的滑坡灾害。由于震级差异和地质地形条件的不同,地震滑坡分布情况有较大区别。本文综合已有的研究成果,从地震、地质和地貌3个方面,对比分析了地震滑坡的分布规律。结果表明:（1）3次地震滑坡数量和密度随着PGA和震级的增加而增加。汶川和鲁甸地震随烈度的增加,滑坡数量呈现递增的趋势。但芦山地震在较低烈度区也发育着大量滑坡。（2）断层影响滑坡分布的最大距离随着震级的增加而增加。在最大影响距离0.2倍的范围内,汶川地震分布有80%的滑坡,而其他两次地震仅30%。此外,汶川地震滑坡数量随断层距离呈指数衰减关系。（3）地震滑坡的分布受到地形的强烈影响。Ⅶ度及以上烈度区地形切割深度越大,地震触发的滑坡集中分布区域相对高差越大。同时,滑坡集中发育的坡度会随之增加。切割深度越大,地震滑坡更易发生在地势较陡的山脊或者上坡处,这可能与地形放大效应有关。 相似文献
13.
Interpretation of landslide distribution triggered by the 2005 Northern Pakistan earthquake using SPOT 5 imagery 总被引：7，自引：4，他引：7
Hiroshi P. Sato Hiroyuki Hasegawa Satoshi Fujiwara Mikio Tobita Mamoru Koarai Hiroshi Une Junko Iwahashi 《Landslides》2007,4(2):113-122
The 2005 northern Pakistan earthquake (magnitude 7.6) of 8 October 2005 occurred in the northwestern part of the Himalayas.
We interpreted landslides triggered by the earthquake using black-and-white 2.5-m-resolution System Pour l’Observation de la Terre 5 (SPOT 5) stereo images. As a result, the counts of 2,424 landslides were identified in the study area of 55 by 51 km. About
79% or 1,925 of the landslides were small (less than 0.5 ha in area), whereas 207 of the landslides (about 9%) were large
(1 ha and more in area). Judging from our field survey, most of the small landslides are shallow rock falls and slides. However,
the resolution and whitish image in the photos prevented interpreting the movement type and geomorphologic features of the
landslide sites in detail. It is known that this earthquake took place along preexisting active reverse faults. The landslide
distribution was mapped and superimposed on the crustal deformation detected by the environmental satellite/synthetic aperture
radar (SAR) data, active faults map, geological map, and shuttle radar topography mission data. The landslide distribution
showed the following characteristics: (1) Most of the landslides occurred on the hanging-wall side of the Balakot–Garhi fault;
(2) greater than one third of the landslides occurred within 1 km from the active fault; (3) the greatest number of landslides
(1,147 counts), landslide density (3.2 counts/km2), and landslide area ratio (2.3 ha/km2) was found within Miocene sandstone and siltstone, Precambrian schist and quartzite, and Eocene and Paleocene limestone and
shale, respectively; (4) there was a slight trend that large landslides occurred on vertically convex slopes rather than on
concave slopes; furthermore, large landslides occurred on steeper (30° and more) slopes than on gentler slopes; (5) many large
landslides occurred on slopes facing S and SW directions, which is consistent with SAR-detected horizontal dominant direction
of crustal deformation on the hanging wall. 相似文献
14.
2015年4月25日,尼泊尔境内发生Ms 8.1级地震,诱发了较大面积的崩塌、滑坡灾害。笔者通过遥感构造解析和野外实地调查取得以下主要认识:（1）中尼边境的喜马拉雅地区活动构造以NWW向挤压逆冲断裂最为显著,从南到北大致可分南、中、北三个带,中带由众多短小、密集的逆冲断裂构成一个网络状断裂带,是这次Ms 8 1级地震的发震断裂;（2）喜山中段NNE—SN向横张断裂将该地区分割成几个东西向块体,吉隆—樟木近南北向断裂带控制了这次强震的余震分布;（3）本次地震引发了至少445处地震崩塌、滑坡、堰塞湖以及融雪形成的泥石流灾害,这些灾害主要分布在NWW向发震断裂的北侧上盘,受发震断裂控制,其中面积超过2.4×104 m2的地震滑坡有30处;（4）中国境内的NNE—SN向深切河谷是滑坡、崩塌等地质灾害的主要发生带,而这些河谷多为公路沿线和村镇居住地,应成为重点防范区。 相似文献
15.
《Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy》1999,24(10):925-934
Detailed geomorphological mapping carried out in 5 sample areas in the North of Lisbon Region allowed us to collect a set of geological and geomorphological data and to correlate them with the spatial occurrence of landslide. A total of 597 slope movements were identified in a total area of 61.7 km2, which represents about 10 landslides per km2.The main landslide conditioning factors are: lithology and geological structure, slope angle and slope morphology, land use, presence of old landslides, and human activity.The highest landslide density occurs in Cretaceous marls and marly limestones, but the largest movements are in Jurassic clays, marls and limestones.The landslide density is higher on slopes with gradients above 20 °, but the largest unstable area is found on slopes of 10 ° to 15 °, thus reflecting the presence of the biggest slope movements. There is a correlation between landslides and topographical concavities, a fact that can be interpreted as reflecting the significance of the hydrological regime in slope instability.Concerning land use, the highest density of landslides is found on slopes covered with shrub and undergrowth vegetation.About 26% of the total number of landslides are reactivation events. The presence of old landslides is particularly important in the occurrence of translational slides and complex and composite slope movements.20% of the landslide events were conditioned by anthropomorphic activity. Human's intervention manifests itself in ill-consolidated fills, cuts in potentially unstable slopes and, in a few cases, in the changing of river channels.Most slope movements in the study area exhibit a clear climatic signal. The analysis of rainfall distribution in periods of recognised slope instability allows the distinction of three situations: 1) moderate intensity rainfall episodes, responsible for minor slope movements on the bank of rivers and shallow translational slides, particularly in artificial trenches; 2) high intensity rainfall episodes, originating flash floods and most landslides triggered by bank erosion; 3) long-lasting rainfall periods, responsible for the rise of the groundwater table and triggering of landslides with deeper slip surfaces. 相似文献
16.
Rainfall-triggered large landslides on 15 December 2005 in Van Canh District, Binh Dinh Province, Vietnam 总被引：2，自引：2，他引：0
Do Minh Duc 《Landslides》2013,10(2):219-230
Landslides are one of the most dangerous hazards in Vietnam. Most landslides occur at excavated slopes, and natural slope failures are rare in the country. However, the volume of natural slope failures can be very significant and can badly affect large areas. After a long period of heavy rainfall in the fourth quarter of 2005 in Van Canh district, a series of landslides with volumes of 20,000–195,000 m3 occurred on 15 December 2005. The travel distances for the landslides reached over 300–400 m, and the landslides caused some remarkable loud booming noises. The failures took place on natural slopes with unfavorable geological settings and slope angles of 28–31°. The rainfall in the fourth quarter of 2005 is estimated to have a return period of 100 years and was the main triggering factor. Because of the large affected area and low population density, resettling people from the dangerous landslide-prone residential areas to safer sites was the most appropriate solution. In order to do so, a map of landslide susceptibility was produced that took into account slope angle, distance to faults, and slope aspect. The map includes four levels from low to very high susceptibility to landslides. 相似文献
17.
Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus 总被引：1，自引：0，他引：1
D. D. Alexakis A. Agapiou M. Tzouvaras K. Themistocleous K. Neocleous S. Michaelides D. G. Hadjimitsis 《Natural Hazards》2014,72(1):119-141
This study considers the impact of landslides on transportation pavements in rural road network of Cyprus using remote sensing and geographical information system (GIS) techniques. Landslides are considered to be one of the most extreme natural hazards worldwide, causing both human losses and severe damages to the transportation network. Risk assessment for monitoring a road network is based on the combination of the probability of landslides occurrence and the extent and severity of the resultant consequences should the disasters (landslides) occur. Factors that can trigger landslide episodes include proximity to active faults, geological formations, fracture zones, degree and high curvature of slopes, water conditions, etc. In this study, the reliability and vulnerability of a rural network are examined. Initially, landslide locations were identified from the interpretation of satellite images. Different geomorphological factors such as aspect, slope, distance from the watershed, lithology, distance from lineaments, topographic curvature, land use and vegetation regime derived from satellite images were selected and incorporated in GIS environment in order to develop a decision support and continuous landslide monitoring system of the area. These parameters were then used in the final landslide hazard assessment model based on the analytic hierarchy process method. The results indicated good correlation between classified high-hazard areas and field-confirmed slope failures. The CA Markov model was also used to predict the landslide hazard zonation map for 2020 and the possible future hazards for transportation pavements. The proposed methodology can be used for areas with similar physiographic conditions all over the Eastern Mediterranean region. 相似文献
18.
19.
On July 22, 2013, an earthquake of Ms. 6.6 occurred at the junction area of Minxian and Zhangxian counties, Gansu Province, China. This earthquake triggered many landslides of various types, dominated by small-scale soil falls, slides, and topples on loess scarps. There were also a few deep-seated landslides, large-scale soil avalanches, and fissure-developing slopes. In this paper, an inventory of landslides triggered by this event is prepared based on field investigations and visual interpretation of high-resolution satellite images. The spatial distribution of the landslides is then analyzed. The inventory indicates that at least 2330 landslides were triggered by the earthquake. A correlation statistics of the landslides with topographic, geologic, and earthquake factors is performed based on the GIS platform. The results show that the largest number of landslides and the highest landslide density are at 2400 m–2600 m of absolute elevation, and 200 m–300 m of relative elevation, respectively. The landslide density does not always increase with slope gradient as previously suggested. The slopes most prone to landslides are in S, SW, W, and NW directions. Concave slopes register higher landslide density and larger number of landslides than convex slopes. The largest number of landslides occurs on topographic position with middle slopes, whereas the highest landslide density corresponds to valleys and lower slopes. The underlying bedrocks consisting of conglomerate and sandstone of Lower Paleogene (Eb) register both the largest number and area of landslides and the highest landslide number and area density values. Correlations of landslide number and landslide density with perpendicular- and along-strike distance from the epicenter show an obvious spatial intensifying character of the co-seismic landslides. The spatial pattern of the co-seismic landslides is strongly controlled by a branch of the Lintan-Dangchang fault, which indicates the effect of seismogenic fault on co-seismic landslides. In addition, the area affected by landslides related to the earthquake is compared to the relationship of “area affected by landslides vs. earthquake magnitude” constructed based on earthquakes worldwide, and it is shown that the area affected by landslides triggered by the Minxian–Zhangxian earthquake is larger than that of almost all other events with similar magnitudes. 相似文献
20.
Landslide zoning in a part of the Garhwal Himalayas 总被引：21，自引：1，他引：20
The Himalayas are undergoing constant rupturing in the thrust belt zone in the Garhwal Himalayas, due to which earthquake
and mass movement activity is triggered. These processes of mass movement and landslides have been constantly modifying the
landscape. Landslides are one of the indicators of the geomorphological modifications taking place in this active and fragile
terrain. This work is aimed at providing another example of landslide susceptibility mapping based on geological and geomorphological
attributes. The data collected from aerial photographs, topographic sheets and the image suggests that there is a correlation
between the distribution of landslides and some of the geological and geomorphological factors, for example, the distance
from an active fault, relative relief and slope. Parameters like factor of safety, altitude, relief, slope and the distance
from the fault lineament have been included in the study. A rating system has been applied to the factors for arriving at
a quantitative estimate of landslide susceptibility for each physiographic unit. Since terrain classification forms the foundation
of this work, the entire study can be grouped into two sequential activities: (1) the terrain classification and (2) landslide
susceptibility mapping. The result is the landslide susceptibility zoning map presented. The landslides have not been classified
with respect to time and may represent the final result of the on-going geological, geomorphological and seismic activity
since the Holocene period or late Pleistocene time when the glaciers retreated.
The area chosen for the study lies between Badri gad and Barni gad in Yamuna valley region of the Garhwal Himalaya where a
very large scale investment is in the pipe line for Hydroelectric power generation.
Received: 12 August 1993 · Accepted: 13 January 1998 相似文献