中国地震滑坡危险性评估及其对国土空间规划的影响研究   总被引：1，自引：0，他引：1       下载免费PDF全文

王涛  刘甲美  栗泽桐  辛鹏  石菊松  吴树仁 《中国地质》2021,48(1):21-39

中国是世界上地震滑坡灾害最为严重的国家之一。考虑地质构造、地形地貌、地层岩性、河流、地震动参数等6类影响因素,针对50年超越概率10%的抗震设防水准,分别开展了基于信息量模型和Newmark模型的地震滑坡危险性评估。基于最不利原则对两项结果进行地震滑坡危险性综合分区,揭示了中国地震滑坡高危险区集中在南北构造带、青藏高原周缘、鄂尔多斯周缘、天山山脉、台湾山脉等5个活动地块边界或地貌过渡带的空间分布特征。通过地震滑坡危险对主要山区城市的影响分析,显示:34个省级行政单元中的云南、四川、甘肃、台湾4省区受影响严重;370个主要城市中的48个城市受影响严重,其中44个城市有活动断裂穿越;9类主体功能规划区中,国家和省级优化开发区域总体较适于城市开发建设;25个经济区与城市群中,总体较适于开发建设,但是滇中、关天、成渝、兰西等4个经济区与城市群受影响严重;14个集中连片特困地区中,滇西边境、乌蒙、秦巴、六盘等4个地区受影响严重,深度贫困区的“三州”受影响严重。这些区域需要在地质灾害防治和国土空间规划中予以特别关注。  相似文献   

基于无人机倾斜摄影的黄土滑坡信息多维提取与应用分析   总被引：2，自引：0，他引：2       下载免费PDF全文

王俊豪  魏云杰  梅傲霜  管建军  丁祥  王双亭 《中国地质》2021,48(2):388-401

本文针对黄土地区地质灾害调查与评估需求,探索了一种基于无人机倾斜摄影影像和飞控数据的滑坡单体信息多维提取的方法。通过影像处理获得的DEM、DOM和实景三维模型等多维数据,对贾家村滑坡坡形、坡度、相对高差、植被覆盖率、纵坡比降、表面积与物源体积进行定量提取,结合区域气象数据分析了贾家村滑坡年均降雨量时空分布规律,利用相关地质资料分析了其地层岩性特点和区域地质构造情况,为准确评定其稳定性及危险性提供既高效又准确的定性、定量参考依据。  相似文献   

基于逻辑回归的四川青川县区域滑坡灾害预警模型          下载免费PDF全文

方然可  刘艳辉  苏永超  黄志全 《水文地质工程地质》2021,48(1):181-187

四川省青川县滑坡灾害群发,点多面广,区域滑坡灾害预警是有效防灾减灾的重要手段,预警模型是成功预警的核心。由于研究区滑坡诱发机理复杂、调查监测大数据及分析方法不足等原因,传统区域地质灾害预警模型存在预警精度有限、精细化不足等问题。文章在青川县地质灾害调查监测和降水监测成果集成整理与数据清洗基础上,构建了青川县区域滑坡灾害训练样本集,样本集包括地质环境、降雨等27个输入特征属性和1个输出特征属性,涵盖了青川县近9年（2010—2018年）全部样本,数量达1 826个（其中,正样本613个,负样本1 213个）。基于逻辑回归算法,对样本集进行5折交叉验证学习训练,采用贝叶斯优化算法进行模型优化,采用精确度、ROC曲线和AUC值等指标校验模型准确度和模型泛化能力。其中,ROC曲线也称为“受试者工作特征”曲线;AUC值表示ROC曲线下的面积。校验结果显示,基于逻辑回归算法的模型训练结果准确率和泛化能力均较好（准确率94.3%,AUC为0.980）。开展区域滑坡实际预警时,按训练样本特征属性格式,输入研究区各预警单元27个特征属性,调用预先学习训练好的模型,输出滑坡灾害发生概率,根据输出概率分段确定滑坡灾害预警等级。当输出概率P≥40%且P<60%时,发布黄色预警;当输出概率P≥60%且P<80%时,发布橙色预警;当输出概率P≥80%时,发布红色预警。  相似文献   

基于优化经验模态分解和聚类分析的滑坡位移智能预测研究     

张凯  张科  保瑞  刘享华  齐飞飞 《岩土力学》2021,(1):211-223

针对三峡库区"阶跃式"滑坡的变形特征,提出了一种新的滑坡位移预测方法。以白水河滑坡ZG118和XD-01监测点位移数据为例,采用基于软筛分停止准则的经验模态分解(SSSC-EMD)将累计位移-时间曲线和影响因子时间序列自适应地分解为多个固有模态函数(IMF),并采用K均值(K-Means)聚类法对其进行聚类累加,得到有物理含义的位移分量(趋势性位移、周期性位移以及随机性位移)和影响因子分量(高频影响因子和低频影响因子)。使用最小二乘法对趋势性位移进行拟合预测;采用果蝇优化-最小二乘支持向量机(FOA-LSSVM)模型对周期性位移和随机性位移进行预测。将各位移分量预测值进行叠加处理,实现滑坡累计位移的预测。研究结果表明,所提出的(SSSC-EMD)-K-Means-(FOA-LSSVM)模型能够预测"阶跃式"滑坡的位移变化规律,且预测精度高于传统的支持向量机回归(SVR)、最小二乘支持向量机(LSSVM)模型;并通过改变训练集长度,进行单因素分析,发现其与预测精度之间呈正相关关系。  相似文献   

Backward automatic calibration for three-dimensional landslide models     

Giacomo Titti  Giulia Bossi  Gordon G.D.Zhou  Gianluca Marcato  Alessandro Pasuto 《地学前缘(英文版)》2021,12(1):231-241

Back-analysis is broadly used for approaching geotechnical problems when monitoring data are available and information about the soils properties is of poor quality.For landslide stability assessment back-analysis calibration is usually carried out by time consuming trial-and-error procedure.This paper presents a new automatic Decision Support System that supports the selection of the soil parameters for three-dimensional models of landslides based on monitoring data.The method considering a pool of possible solutions,generated through permutation of soil parameters,selects the best ten configurations that are more congruent with the measured displacements.This reduces the operator biases while on the other hand allows the operator to control each step of the computation.The final selection of the preferred solution among the ten best-fitting solutions is carried out by an operator.The operator control is necessary as he may include in the final decision process all the qualitative elements that cannot be included in a qualitative analysis but nevertheless characterize a landslide dynamic as a whole epistemological subject,for example on the base of geomorphological evidence.A landslide located in Northeast Italy has been selected as example for showing the system potentiality.The proposed method is straightforward,scalable and robust and could be useful for researchers and practitioners.  相似文献   

Shallow landslide susceptibility assessment under future climate and land cover changes: A case study from southwest China     

《地学前缘(英文版)》2023,14(4):101542

There is no doubt that land cover and climate changes have consequences on landslide activity, but it is still an open issue to assess and quantify their impacts. Wanzhou County in southwest China was selected as the test area to study rainfall-induced shallow landslide susceptibility under the future changes of land use and land cover (LULC) and climate. We used a high-resolution meteorological precipitation dataset and frequency distribution model to analyse the present extreme and antecedent rainfall conditions related to landslide activity. The future climate change factors were obtained from a 4-member multi-model ensemble that was derived from statistically downscaled regional climate simulations. The future LULC maps were simulated by the land change modeller (LCM) integrated into IDRISI Selva software. A total of six scenarios were defined by considering the rainfall (antecedent conditions and extreme events) and LULC changes towards two time periods (mid and late XXI century). A physically-based model was used to assess landslide susceptibility under these different scenarios. The results showed that the magnitude of both antecedent effective recharge and event rainfall in the region will evidently increase in the future. Under the scenario with a return period of 100 years, the antecedent rainfall in summer will increase by up to 63% whereas the event rainfall will increase by up to 54% for the late 21st century. The most considerable changes of LULC will be the increase of forest cover and the decrease of farming land. The magnitude of this change can reach + 22.1% (forest) and –9.2% (farmland) from 2010 until 2100, respectively. We found that the negative impact of climate change on landslide susceptibility is greater than the stabilizing effect of LULC change, leading to an over decrease in stability over the study area. This is one of the first studies across Asia to assess and quantify changes of regional landslide susceptibility under scenarios driven by LULC and climate change. Our results aim to guide land use planning and climate change mitigation considerations to reduce landslide risk.  相似文献   

Potential seismic landslide hazard and engineering effect in the Ya’an-Linzhi section of the Sichuan-Tibet transportation corridor,China     

《China Geology》2023,6(2):228-240

The Sichuan-Tibet transportation corridor is located at the eastern margin of the Qinghai-Tibet Plateau, where the complex topography and geological conditions, developed geo-hazards have severely restricted the planning and construction of major projects. For the long-term prevention and early control of regional seismic landslides, based on analyzing seismic landslide characteristics, the Newmark model was used to carry out the potential seismic landslide hazard assessment with a 50-year beyond probability 10%. The results show that the high seismic landslide hazard is mainly distributed along large active tectonic belts and deep-cut river canyons, and are significantly affected by the active tectonics. The low seismic landslide hazard is mainly distributed in the flat terrain such as the Quaternary basins, broad river valleys, and plateau planation planes. The major east-west linear projects mainly pass through five areas with high seismic landslide hazard: Luding-Kangding section, Yajiang-Xinlong (Yalong river) section, Batang-Baiyu (Jinsha river) section, Basu (Nujiang river) section, and Bomi-Linzhi (eastern Himalaya syntaxis) section. The seismic action of the Bomi-Linzhi section can also induce high-risk geo-hazard chains such as the high-level glacial lake breaks and glacial debris flows. The early prevention of seismic landslides should be strengthened in the areas with high seismic landslide hazard.©2023 China Geology Editorial Office.  相似文献   

基于三维激光扫描的堆积体滑坡变形机理及阈值模型试验研究          下载免费PDF全文

姜鑫  杨校辉  贺新元 《甘肃地质》2023,(3):64-73

为分析白龙江流域舟曲段江顶崖滑坡的变形演化机理及其阈值,设计降雨条件下的大型堆积体滑坡物理模型试验,采用FARO FocusS 350三维激光扫描仪进行滑坡数据采集、处理,获取滑坡在不同降雨工况的点云模型数据,对比分析不同降雨工况下滑坡宏观及局部特征点的变化情况。研究表明：滑坡模型表面出现持续、快速、变化鲜明的整体变形特征,伴随出现滑坡模型中、前部横向、纵向的张拉裂缝,表明在非饱和渗流影响下,堆积体滑坡模型的基质吸力降低、孔隙水压力以及滑坡体重力荷载增加,导致滑坡模型临近失稳;根据滑坡模型宏观变形情况,其变形演化过程可划分为：初始变形阶段、等速变形阶段和加速变形阶段,3个不同变形阶段坡体宏观变形各自有其特点。通过对试验阶段的变形特征分析,设立了滑坡变形速率阈值,分别为0. 01 m／h、0. 02 m／h、0. 2 m／h。基于三维激光扫描技术坡体监测,结合坡体变形宏观和局部分析的优势,在保证高精度监测、采集、处理的同时,得到坡体的整体变形和位移。  相似文献   

门源M6.9地震诱发地质灾害特征研究          下载免费PDF全文

王谦  钟秀梅  高中南  马金莲  万秀红  杨义煊  刘岸果 《地震工程学报》2022,44(2):352-359

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   

基于GIS的白龙江流域舟曲—武都段的滑坡危险性评价   总被引：1，自引：0，他引：1       下载免费PDF全文

刘杰  武震 《地震工程学报》2020,42(6):1723-1734

本研究以围绕着白龙江流域的甘肃省南部的宕昌县、舟曲县和武都区部分地区为研究区，根据全国滑坡编目中得到的272个历史滑坡数据以及选取的高程、坡度、坡向、平面曲率、剖面曲率、归一化植被指数（NDVI）、降雨、岩性、距道路距离和距河流距离10种影响因子，利用三种具有代表性的定量方法：信息量模型、以及基于频率比模型的逻辑回归模型和人工神经网络模型对研究区内滑坡灾害危险性进行评价。三种评价结果均显示研究区内滑坡灾害的极高和高危险区主要沿白龙江河谷地区呈带状分布。从危险性分区图可看出，人工神经网络模型得到的分区图较为合理，既表现出沿河谷地区集中分布的趋势，也呈现出对滑坡历史数据较为独立的特征，这一研究结果与前人研究结果一致。根据受试者工作特征曲线（ROC曲线）对三种模型的精度进行检验，检验得到的AUC值分别为0.818、0.829和0.837，说明三种评价结果均具有较高的可靠性，基于频率比模型的人工神经网络模型相比其他两个模型具有更好的评价精度，能更好地进行滑坡危险性的预测和评价，其中高程、降雨、岩性以及距道路距离对评价结果影响更大，这四种影响因子重要性值占比为52.1%。为该地区的城市扩建与灾害预防预测提供了参考。  相似文献