用户名: 密码: 验证码:
重大突发性滑坡灾害预测预报研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
我国是滑坡灾害频繁发生的国家,尤其是近年来随着人类工程活动的日益加剧,再加上全球气候变暖、变乱,重大突发性滑坡灾害不断发生。如仅四川省境内,2004年发生了宣汉天台乡特大型滑坡;2005年丹巴县城后山出现明显的滑坡迹象;2006年绵阳北川县白什乡出现重大滑坡隐患;2007年发生了达州青宁乡岩门村滑坡、达县杨柳垭变电站滑坡;2008年汶川地震更是诱发了数以万计的滑坡灾害。重大突发性滑坡灾害已对人民生命财产构成严重威胁,急需有针对性地建立一套重大突发性滑坡灾害的预报预警理论和技术方法体系。
     由于影响滑坡发展演化的因素众多,导致滑坡运动具有复杂性和不确定性,滑坡的预测预报仍是世界性难题。目前对滑坡时间预报的主要作法是根据滑坡位移-时间曲线三阶段演化规律,当变形接近或进入临滑阶段时,结合宏观变形迹象进行滑坡时间预报。但目前在作时间预报时并没有定量标准,不易把握;而滑坡的运动范围一直是人们所关注的问题,因为这直接关系到滑坡对灾区人民的危害程度。众多的学者进行过滑坡滑速与滑距的计算研究,但提出的各种假说以及计算方法不具有普遍性,没有形成较为系统的预测方法。
     针对目前重大突发性滑坡预测预报所存在的问题,本文在搜集多个突发性滑坡完整监测资料的基础上,对滑坡各变形演化阶段的规律和特征以及滑坡下滑后可能的运动范围进行较深入系统地研究,获得如下创新性研究成果:
     (1)结合大量的滑坡监测实例,对滑坡位移-时间曲线特征进行了仔细地研究,并按形态将其分为六类:平稳型,直线型,曲线型,阶跃型,回落型以及收敛型。不同成因类型和不同演化阶段的滑坡,其位移-时间曲线是不同的。掌握滑坡位移-时间曲线特征,对定性判断滑坡的成因模式、变形发展阶段、外界因素影响程度,具有重要的指导意义。
     (2)为了克服滑坡位移-时间曲线切线角会随着纵横坐标尺度变化而变化的问题,本文提出通过坐标变化使位移-时间曲线各处切线角成唯一值的办法。在对改进切线角特征进行深入研究的基础上,提出了利用改进切线角判别滑坡的初始变形、等速变形以及加速变形阶段的定量划分标准。为实现对滑坡进行准确地临滑预报,进一步将滑坡的加速变形阶段划分为初加速、中加速和临滑阶段三个亚阶段,给出了三个亚阶段的切线角划分标准。同时发现,滑坡下滑前的最大切线角约等于89o。
     (3)对滑坡位移-时间曲线的加速度、加加速度特征和变化规律进行了深入地研究,提出了利用累积加速度和累积加加速度定量判别滑坡各变形阶段的方法,在此基础上,提出了滑坡临滑预报判据:累积加速度∑a >0且持续增长;累积加加速度∑? >0,且持续增长或保持高值。
     (4)提出了根据滑坡所处的不同变形阶段,采用不同预报模型的滑坡定量预报方法,即在滑坡的中长期变形阶段可采取神经网络法进行变形的趋势性预测;滑坡进入临滑阶段可采用Verhulst模型定量预报。本文同时提出了滑坡短期预报的抛物线法和临滑预报的加速度法。
     (5)对滑坡体滑面形态和裂缝类型及其各阶段的特点进行了较为系统地研究,总结出滑坡裂缝的分期配套规律和特征。根据裂缝的分期配套特征,可通过对滑坡宏观变形破坏迹象的研究,较为准确地判断和把握滑坡的所处演化阶段和稳定性状况,由此进行滑坡的定性预测预报。
     (6)为了分析评价滑坡下滑后的空间运动范围,将滑坡下滑分成5类模式:整体无碰撞滑行、整体碰撞滑行、滑落堆积、凌空飞跃和坡脚弧形滑动,并采用能量守恒定理和动量守恒定律,推导各类滑坡运动模式的运动距离估算公式。
     (7)在综合本文对滑坡位移-时间曲线特征、滑坡各阶段适宜的定量预报模型、滑坡裂缝分期配套特征等各方面研究成果的基础上,将滑坡预警级别分为蓝色-注意级、黄色-警示级、橙色-警戒级、红色-警报级共四级,提出了滑坡分级综合预警预报方法,给出了滑坡灾害分级综合预警表。在表中给出了各级的变形曲线特征、宏观变形破坏迹象、预报判据、滑坡对外界因素的响应特征、适宜的预报模型和方法以及灾害的应对措施。
     最后,选取了一些典型重大突发性滑坡实例,通过滑坡预测预报实例研究,对本文提出的理论和方法进行了实际的应用和检验验证。
China is a country where landslide hazards are very active and bring a huge amount of damage to poverty and great threat to people’s lives. Especially affected by global warming, lots of landslides occur when the climate change abnormally in recent years. For example, in Sichuan province, the Tiantai village landslide(large scale) occurred in 2004; a large crack had been discovered on the mountain behind Danba town in 2005; the Baishi village landslide(large scale) happened in 2006, Mianyang city, Beichuan county; Landslides take placed at Yanmen (in Qingning village) and Yangliuya substation, Dazhou county in 2007, and more, lots of landslides broke out after Wenchuan 8.0 earthquake in 2008. It is urgent that a theory and technique system of forecast and prediction of large scale and sudden landslides should be established during the emergency situation at large disasters which damage to both people’s lives and property.
     Due to the complex triggering factors, landslide movement has lots of uncertainty and comprehensive influence elements, it is too difficult to predict landslide in a precise way which is still a global problem. Currently, the main method to predict landslide is according to the three developing stages of landslide in the displacement-time curve. When the deformation becomes close to or enters into the sliding stage, the prediction should be given combining the macro-deformation signs. However, the recent method only stays on the empirical aspect, and it is hard to be accurate to predict for no quantitative standard. The calculation of run out distance of landslide is also a big issue which has been concerned for a long time, because it is directly related with the disaster degree to peoples. Lots of scholars have provided several equations to calculate the speed and run out distance of landslide, but they are not available for other cases and still can not build a completed system to forecast it.
     Aiming to solve the problems in forecast and prediction of large scale and sudden landslides by gathering investigation and monitoring data from several cases, the paper studies detailly and deeply the evolution laws and characteristics in every deformation phases as well as possible run out distance after the fall of landslide, and provides some new results of research:
     (1) Based on lots of monitoring data, it is categorized the displacement-time curves into six types after thinking over carefully: stable, straight line, curve, stairs, up and down and Convergence. It is different among displacement-time curves according to causes and evolution stages of different landslides. To analyze landslides according to different types of curves is very important in describing the mechanisms of landslides, deformation stages and degree of disturbed by outer factors.
     (2) In order to solve the difficulties of change of displacement-time curves with the various coordinates, the paper shows the solution of finding out the specific tan angle of certain point of the curves through changing coordinates. Based on the adjusted tan angle characteristics, it is provided the standard criterions for distinguishing the different stages----the initialization deformation; equal speed deformation and accelerated deformation, of the deformation process after in-depth study. In order to realize the accurate prediction, it is given the criterions of recognizing the three sub stages----initial acceleration; middle acceleration and temporary slide, of the acceleration deformation. In the meanwhile, the max sliding angle is reaching to 89o before landslides fall。
     (3) For further research, the paper studies the characteristic and regulation of the acceleration and accelerated acceleration of displacement-time curves and provides the quantitative methods of how to recognize every deformation stage of slope and give the criterion of prediction of the sliding of landslide: Accumulate acceleration∑a >0 and keep on increasing; Accumulate accelerated acceleration∑? >0 and keep on increasing or stay at a high value.
     (4) The paper provides the different quantitative methods of prediction of the landslide with models according to the different deformation stages. For instance, it should be applied the artificial neuron network for the long term deformation to predict the deformation tendency; and applied the Verhulst methods to predict when the landslide enters into the sliding stage. The methods for predict the landslide in short period is also mentioned in this paper which is the parabolic curves modeling method as well as the acceleration method in sliding stage.
     (5) Based on the systematic researches on situations of different sliding planes of landslides and characteristics of cracks in various stages, it is summarized the laws and characteristics of cracks matching with various stage. According to the characteristics, it is judged and understood the deformation stages and the stability of landslide and applied to the forecast and prediction in empirical methods, based on the research of macro-deformation signs.
     (6) In order to analyze and assess the run out distance of landslide after it slides down, it is divided the types of sliding into 5 groups: whole sliding without colliding; whole sliding with colliding; sliding and depositing; flying, sliding at a arc plane of slope toe. It is also deduced the calculation equations of the landslide’s run out distance with the theories of the law of conservation of energy and the law of conservation of momentum.
     (7) Based on the synthesis of characteristics of displacement-time curves, appropriate landslide prediction models of stages and characteristics of cracks matching with various stage, It is mentioned in the paper to divide the forecast and prediction stages into four levels depending on the degree of dangerous: blue-notice level; yellow-warning level; orange–dangerous level and red-alarming level. The synthetic methods of dealing with each level are provided in the table with lots of information including characteristics of deformation curves, macro-deformation signs, prediction criteria, response characteristics of landslide to the outer factors, appropriate prediction models and methods and disaster response measures.
     In the end, based on the researches of cases of landslide forecast and prediction, the paper shows some large scale and sudden landslide cases with the application of those methods and theories which are mentioned in the former of the paper.
引文
[1]李秀珍.滑坡灾害的时间预测预报研究[硕士学位论文][D].成都:成都理工大学,2004.
    [2]王念秦等.中国滑坡预测预报研究综述[J].地质评论:2008,54(3):355~360.
    [3]孙怀军等.滑坡预测预报的现状和发展趋势[J]太原理工大学学报:2001,32(6):636~639.
    [4]廖小平.滑坡破坏时间预报新理论探讨[J].地质灾害与环境保护:1994,5(3):25~29.
    [5]王尚庆等.长江三峡滑坡监测预报[M].北京:地质出版社,1998.
    [6]袁勇.人工免疫系统在滑坡预测预报中的应用[硕士学位论文][D].成都:成都理工大学,2005.
    [7]彭继兵.信息融合技术在滑坡预报纵的应用研究[硕士学位论文][D].成都:成都理工大学,2005.
    [8]秦四清,张倬元.滑坡灾害预报方法论探索及LTFS预报系统简介[J].露天采矿技术:1993,2:7~10.
    [9]李天斌,陈明东等.滑坡实时跟踪预报[M].成都科技大学出版社:1999年.
    [10]李彦荣.基于GIS的滑坡预测预报系统开发及应用研究[硕士学位论文][D].成都:成都理工大学,2003.
    [11]胡高社等.新滩滑坡预报判据研究[J].中国地质灾害与防治学报:1996,7(增刊):69~72.
    [12]许东俊等.岩质边坡滑坡预报研究[J].岩石力学与工程报:1999,18(4):369~372.
    [13]伍法权等.一种滑坡位移动力学预报方法探讨[J].中国地质灾害与防治学报,1996,7(增刊):38~41。
    [14]阳吉宝.堆积层滑坡临滑预报的新判据[J].工程地质学报,1995,3(2):70~73.
    [15]阳吉宝,钟正雄.滑坡时间预报的双参数判据[J].中国地质灾害与防治学报,1996,7(增刊):61~66.
    [16]凌荣华,陈月娥.塑性应变与塑性应变率意义下的滑坡判据研究[J].工程地质学,1997,5(4):346~350.
    [17]张倬元,王士天,王兰生.工程地质分析原理(第二版)[M].北京:地质出版社,1994.
    [18]林孝松.滑坡与降雨研究[J].地质灾害与环境保护,2001,12(3):1~7.
    [19]朱冬林,任光明等.库水位变化下对水库滑坡稳定性影响的预测[J].水文地质工程地质,2002(3):6~9.
    [20]秦四清等.非线性工程地质学导引[M].成都:西南交大出版社,1993.12.
    [21]黄润秋、许强.斜坡失稳时间的协同预测模型[J].山地研究,1997,15(1).
    [22]黄润秋,许强.工程地质广义科学分析原理及应用[M].北京:地质出版社,1997年.
    [23]倪秀静.小波理论在滑坡降噪和组合预测中的应用[硕士学位论文][D].成都:成都理工大学,2005.。
    [24]于济民.滑坡预报参数的选择和预报标准的确定方法[J]中国地质灾害与防治学报,1992,3(2):39~46.
    [25]Heim,A.Bergsturz und Menschenleben [M].Zütich:Naturforschenden Gesellschaft,1932.( English translation by Skerner,N.A. Landslides and Human Lives [M ].Vancouver,B.C.:BiTechPublishers Ltd,1989.1~196)
    [26] Scheidegger,A.E.On the prediction of the reaching and velocity of catastrophic landslides[J].Rock Mechanics,1973,5:231~236.
    [27] Eisbacher,G.H.,Clague,J.J. Destructive mass movements in high mountain:hazard and management[M].Ottawa:Canadian Government Publishing Centre,1984.1~228.
    [28] Evans,S.G.,DeGraff,J.V.Catastrophic Landslides:Effects,Occurrence,and Mechanisms[M]. Boulder,Colarado:The Geological Society of America,2002.1~411.
    [29] Stephen G.Evans,Oldrich Hungr,John J.Clague.Dynamics of the 1984 rock avalanche and associated distal debris flow on Mount Cayley,British Columbia,Canada;implications for landslide hazard assessment on dissected volcanoes.2001.29~51.
    [30] Byron Quan Luna.Assessment and modelling of two lahars caused by“Hurricane Stan”at Atitlan,Guatemala, October 2005 [Master]. UNIVERSITY OF OSLO,2007.
    [31]佐佐恭二.滑坡及崩塌运动的预测(上)—改进型滑板模型与模拟模型[J].中国水土保持,1988,6:26~29.
    [32]佐佐恭二.滑坡及崩塌运动的预测(下)—改进型滑板模型与模拟模型[J].中国水土保持,1988,7:40~46.
    [33]潘家铮.建筑物的抗滑稳定和滑坡分析[M].北京:水利出版社,1980:120~132.
    [34]张缙.岩块崩塌与运动初析[A].岩体工程地质力学问题(三)[C].北京:科学出版社,1980.133~143
    [35]郭崇元.大型滑坡及其速度计算[A].水利水电科学院科学研究论文集,第8集[C].北京:水利水电出版社,1982.28~45.
    [36]成都地质学院工程地质研究室.龙羊峡水电站重大工程地质问题研究[M].成都:成都科技大学出版社,1989.52~116.
    [37]晏同珍.水文工程地质与环境保护[M].武汉:中国地质大学出版社,1994.41~71.
    [38]张佳川,周瑞光.滑坡运动分析[A].工程地质科学新进展[C].成都:成都科技大学出版社,1989.277~287.
    [39]卢万年.用空气动力学分析坡体高速滑坡的滑行问题[J].西安地质学院学报,1991,13(4):77~85.
    [40]程谦恭,张倬元,黄润秋.高速远程崩滑动力学研究现状及发展趋势[J].山地学报,2007,25(1):72~84.
    [41] Tiande,M.,Zhongyu,L.,Yonghong,N.A sliding block model for the runout prediction of high speed landslides[J].Canadian GeotechnicalJournal,2001,38:217~226.
    [42]谷天峰,王家鼎,梁辉,袁金辉.均质土体滑坡运动规律分析[J].西北大学学报(自然科学版),2006,36(3):437~441.
    [43]王念秦,张倬元,王家鼎.一种典型黄土滑坡的滑距预测方法[J].西北大学学报(自然科学版),2006,36(3):437~441.
    [44]黄润秋,邓荣贵等:高边坡物质运动全过程模拟[M].四川成都:成都科技大学出版社,1993.9.
    [45]郑书彦,李占斌.滑坡侵蚀研究[M].北京:黄河水利出版社,2005.7.
    [46]魏丽.暴雨型滑坡灾害形成机理及预测方法研究[博士学位论文][D].南京:南京信息工程大学,2005.
    [47]董孝璧,王兰生.斜坡破坏后滑体的运动学研究[J].地质灾害与环境保护,2000,11(1):31~37.
    [48]戴自航,卢才金.边坡失稳机理的力学解释[J].岩土工程学报,2006,28(10):1191~1197.
    [49]许强,汤明高等.滑坡时空演化规律及预警预报研究[J]岩石力学与工程学报,2008,27(6):1104~1112.
    [50]王家鼎,张倬元.典型高速黄土滑坡群的系统工程地质研究[M].成都:四川科学技术出版社,1999.
    [51]潘芬,徐瑞春等.清江隔河岩库区杨家槽滑坡成因机制及稳定性分析[J].北京工业职业技术学院学报,2006,5(2):110~115.
    [52]徐瑞春,徐同海.清江隔河岩水库杨家槽滑坡稳定性工程地质研究[J].地质力学学报,1999,5(2):110~115.
    [53]吴玮江,王念秦.甘肃滑坡灾害[M].兰州:兰州大学出版社,2006,5.
    [54]李秀珍,孔纪名,王震宇.石榴树包滑坡变形监测及演化趋势分析[J].工程地质学报,2006,14(03):320~326.
    [55]王士天,詹铮,刘汉超.洒勒山高速滑坡的基本特征及动力学机制[J].地质灾害与环境保护,1990,1(2):66~73.
    [56]刘德军.杨家槽滑坡防治工程变形监测设计与观测[J].人民长江,2001,32(2):37~39.
    [57]张保军,马水山.墓坪滑坡体位移机制监测分析[J].大坝观测与土工测试,2001,25(4):20~21.
    [58]孟河清.1981年宝成铁路沿线的洪水和泥砂灾害[J]灾害学,1994,9(1):58~62.
    [59]孟河清.宝成铁路滑坡与降雨关系探讨[J]灾害学,1994,9(1):58~62.
    [60]鄢毅.宝成铁路滑坡与降雨关系探讨[J]水文地质工程地质,1993,4:14~16.
    [61]徐峻岭,金波.宝成线路上段滑坡分布与地质环境的关系[J]路基工程,1992,1:47~52.
    [62]梅其岳.天荒坪开关站滑坡的形成条件和滑动机理[J].岩石力学与工程学报,2001,20(1):25~28.
    [63]吕贵芳.鸡鸣寺滑坡的形成及监测预报[J].中国地质灾害与防治学报,1994,5(增刊):376~383.
    [64]周志斌.大冶铁矿东采场边坡变形破坏特征及滑坡时间预报[J].中国矿业,2000,S2:79~82.
    [65]李炼,陈从新,徐宜保,许东俊.露天矿边坡的位移监测与滑坡预报[J].岩土力学,1997,18(4):69~74.
    [66]李辉,邓建辉.滑坡体下挂帮矿开采方案与分析[J].岩石力学与工程学报,2006,25(5):985~990.
    [67]王恭先.甘肃省永靖县黄茨滑坡的滑动机理与临滑预报[J].灾害学,1997,12(3):24~27.
    [68]许强等.用加卸载响应比理论探讨斜坡失稳前兆[J].中国地质灾害与防治学报,1999,6(2):25~30。
    [69]许强等.滑坡预报模型及预报判据总结及滑坡预测预报系统开发:国土资源部2000年科技专项计划长江三峡地质灾害监测与预报研究报告:成都理工大学:2001年。
    [70]刘贤锋.基于BP神经网络预测企业竞争情报搜集成本[J].实践研究,2007,5(30):645~649.
    [71]刘鹏.四川省丹巴县建设街后山滑坡稳定性评价与防治工程作用效果分析[硕士学位论文][D].四川:成都理工大学,2006.
    [72]郑颖人,陈祖煜,王恭先,凌天清.边坡与滑坡工程治理[M].北京:人民交通出版社,2007,1.
    [73]黄润秋,许强等.中国典型灾难性滑坡[M].北京:科学出版社,2008.
    [74]杨为民,吴树仁,石菊松,潘芬.湖北秭归千将坪岩质滑坡形成机理分析[J].煤炭工程,2006,4:57~59.
    [75]曹玲,罗先启,程圣国.千将坪滑坡物理模型试验相似材料研究[J].三峡大学学报(自然科学版),2007,29(1):37~39.
    [76]胡厚田.崩塌与落石[M].北京:中国铁道出版社,1989:88~90.
    [77]杨杰.用加加速运动预报高速滑坡和山崩[J].水文地质工程地质,1995,4:11~12.
    [78]江晓禹,乔建平.典型滑坡危险性的接触力学预测模型[J].工程力学,2006,23(8):109.
    [79]三峡库区地质灾害防治工作领导小组办公室.三峡库区地质灾害防治崩塌滑坡专业监测预警工作职责及相关工作程序的暂行规定[Z].宜昌,2007,10.
    [80]宴同珍.滑坡时间的预测预报[C].滑坡论文选集,成都:四川科学技术出版社,1989.
    [81]宴同珍.滑坡动态规律及预测应用[C].全国第三次工程地质大会论文选集,成都:成都科技大学出版社,1988.
    [82]陶干强,任凤玉,王孝存.灰色理论Verhulst模型用于滑坡预测的研究[J].矿业研究与开发,2002:22(4):11~13.
    [83]三峡大学地质灾害防治研究院.三峡库区秭归县白水河滑坡近期变形的情况报告[R].宜昌:三峡大学地质灾害防治研究院,2007.
    [84]李秀珍,许强,黄润秋,汤明高.滑坡预报判据研究[J].中国地质灾害与防治学报,2003,12(14):5~10.
    [85]王念秦,曾思伟,吴玮江等.滑坡宏观迹象综合分析预报方法研究[J].甘肃科学学报, 1999,11(1):34~38.
    [86]王尚庆,徐进军.滑坡灾害短期临滑预报监测新途径研究[J].三峡大学学报(自然科学版),2006,28(5):385~388.
    [87]成都理工大学地质灾害防治与地质环境保护国家重点实验室,三峡库区地质灾害防治工作指挥部.三峡库区常见多发型滑坡预报模型建立及预报判据研究[R].成都:成都理工大学地质灾害防治与地质环境保护国家重点实验室:三峡库区地质灾害防治工作指挥部,2004.
    [88]许强,黄润秋,李秀珍.滑坡时间预测预报研究进展[J].地球科学进展,2004,19(3):478~483.
    [89]易顺民.滑坡活动时间预测预报研究现状与展望[J].工程地球物理学报,2007,4(2):157~163.
    [90]文海家,张永兴,柳源.滑坡预报国内外研究动态及发展趋势[J].中国地质灾害与防治学报,2004,15(1):1~4.
    [91]郑孝玉.滑坡预报研究方法综述[J].世界地质,2000,19(4):370~373.
    [92]吴树仁,金逸民,石菊松等.滑坡预警判据初步研究~以三峡库区为例[J].吉林大学学报(地球科学版),2004,34(4):596~600.
    [93]胡厚田等.边坡地质灾害的预测预报[M].四川成都:西南交通大学,2001:42~58
    [94]文宝萍.滑坡预测预报研究现状与发展趋势[J].地学前缘,1996,3(1~2):86~91
    [95]吴树仁等.滑坡宏观机理研究—以长江三峡库区为例[J].地质通报,2006,25(7):875~879.
    [96]秦四清.滑坡前兆突变异常识别方法[J].岩土力学,2000,21(1):36~39.
    [97]李秀珍,许强.滑坡预报模型和预报判据[J].灾害学,2003,18(4):71~77.
    [98]李天斌,陈明东.滑坡预报的几个基本问题[J].工程地质学报,1999,7(3):200~206.
    [99]成永刚.近二十年来国内滑坡研究的现状及动态[J].地质灾害与环境保护,2003,14(4):1~4.
    [100]黄润秋.中国西部地区典型岩质滑坡机理研究[J].地球科学进展,2004,19(3):443~450.
    [101]马水山,张保军等.清江库岸滑坡体位移曲线及变形趋势研究[J].人民长江,1995,26(12):38~42.
    [102]张保军,张漫等.杨家槽滑坡体稳定性位移监测[J].长江科学院院报,1999,16(3):34~37.
    [103]黄波林,陈小婷等.三峡库区香溪河段典型滑坡变形特征分析[J].水文地质工程地质,2007,4:10~12.
    [104]黄润秋,赵松江,宋肖冰,许强.四川省宣汉县天台乡滑坡形成过程和机理分析[J].水文地质工程地质,2005,1:13~15.
    [105]任幼蓉,张军,陈鹏等.危岩滑坡简易监测预警研究[J].地质灾害与环境保护,2007,18(1):14~19.
    [106]付义祥.碎石土滑坡变形解体破坏机理及稳定性研究[工程硕士学位论文][D].武汉:武汉理工大你学,2002
    [107]秦四清.斜坡失稳过程的非线性演化机制与物理预报[J].岩土工程学报,2005,27(11):1241~1247.
    [108]罗缵锦.岩质边坡破坏模式初探[J].广东公路交通,2001,71(增刊):11~14.
    [109]王效宁,杜永廉,巫锡勇.岩质顺层滑坡的运动灾害性模拟试验研究[J].水文地质工程地质,1988,6:15~19.
    [110]王发读.秭归县鸡鸣寺滑坡的监测与临滑预警报实例[J].水土保持通报,1992,12(3):40~45.
    [111]杨淑贤,刘俊英,周明礼,蔡永建,郑水明.湖北及邻区的斜坡类型及变形、破坏机理[J].西北地震学报,2006,28(3):258~262.
    [112]周萃英.滑坡预测的方法学进展[J].地质科技情报,1999,18(4):89~92.
    [113]包永兴.边坡稳定性分析中主要影响因素的判别[J].四川水利,1998,19(3):49~52.
    [114]李迪,马水山.岩石边(滑)坡稳定性的判识[J].长江科学院院报,1995,12(3):44~52.
    [115]赵晓彦,胡厚田,齐明柱.云南头寨沟大型岩质高速滑坡碰撞模型试验[J].自然灾害,2003,12(3):99~103.
    [116]晏同珍.滑坡构造力学某些特征分析[J].地球科学,1989,15(2):223~237.
    [117]贺可强,李显强.大型堆积层滑坡剪出口形成的力学条件与综合位移力学判据[J].工程勘察,1996,5:13~16.
    [118]刘涌江,胡厚田,赵晓彦.高速滑坡岩体碰撞效应的试验研究[J].岩土力学,2004,25(2):255~260.
    [119]徐峻龄译,刘光代校.关于滑坡运动的土工模型(一)[J].路基工程,1993,3:70~76.
    [120]徐峻龄译,刘光代校.关于滑坡运动的土工模型(二)[J].路基工程,1993,4:66~71
    [121]徐峻龄译,刘光代校.关于滑坡运动的土工模型(三)[J].路基工程,1993,5:64~71.
    [122]徐梁,陈有亮,张福波.岩体边坡滑移的系统学预报研究[J].上海大学学报(自然科学版) ,2004,10(3):259~263.
    [123]陈有亮.岩体高边坡滑移与失稳的力学分析[J].煤炭学报,2000,25(6):598~601.
    [124]张奇华,丁秀丽,邬爱清.滑坡变形预测与失稳预报问题的几点讨论[J].中国地质灾害与防治学报,2005,16(2):116~120.
    [125]徐峻龄,马辉.滑坡临滑预报方法之讨论[J].中国地质灾害与防治学报,1998,9(增刊):364~368.
    [126]徐峻龄.滑坡时间预报阶段划分及其参数之选取[J].路基工程,1999,85(4):1~3.
    [127]黄润秋.论滑坡预报[J].国土资源科技管理,2004,6(4):15~19.
    [128]靳晓光,王兰生,李晓红.位移监测在滑坡时空运动研究中的应用[J].山地学报,2002,20(5):632~635.
    [129]刘忠玉,马崇武,苗天德,慕青松.高速滑坡远程预测的块体运动模型[J].岩石力学与工程学报,2000,19(6):742~746.
    [130]喜多敬二.关于露天采矿场滚石运动状态的研究[J].矿业工程,1988,1:27~30.
    [131]李林.矿山排土场滚石运动参数的预测[J].四川冶金,1994,1:6~7.
    [132]陈柏林,赵兵,张四维.矿山排土场滚石运动规律及其灾害防治的研究[J].中国地质灾害与防治学报,1998,9(增刊):127~135.
    [133]《工程地质手册编委会》.工程地质手册(第四版)[M].北京:中国建筑工业出版社,2007.
    [134]黄润秋,刘卫华等.滚石运动特征试验研究[J].岩土工程学报,2007,29(9):1296~1302.
    [135]苏文贤.露天矿排土场滑坡距离的探讨[J].露天采矿技术,1989,3:19~21.
    [136]邵铁全.滑坡地质灾害超前地质预判技术研究[博士学位论文][D].陕西:长安大学,2006.
    [137]许建聪.碎石土滑坡变形解体破坏机理及稳定性研究[博士学位论文][D].杭州:浙江大学,2005
    [138]殷跃平.中国典型滑坡[M].北京:中国大地出版社,2007,12.
    [139] E?∏·叶米里扬诺娃:铁道部研究院西北所滑坡室译:滑坡作用的基本规律[M].重庆:重庆出版社,1986,5.
    [140] A. Knapen;M.G. Kitutu;J. Poesen;W. Breugelmans;J. Deckers;A. Muwanga. Landslides in a densely populated county at the footslopes of Mount Elgon(Uganda):Characteristics and causal factors [J]. Geomorphology,2006,149~165.
    [141] Oliver Korupa;Jochen Schmidtb;Mauri J. McSaveney. Regional relief characteristics and denudation pattern of the western Southern Alps,New Zealand[J]. Geomorphology,2005,402~423.
    [142] Candan Gokceoglu;Harun Sonmez;Hakan A. Nefeslioglu;Tamer Y. Duman;Tolga Can. The 17 March 2005 Kuzulu landslide(Sivas,Turkey)and landslide~susceptibility map of its near vicinity[J]. Engineering Geology,2005,65~83.
    [143] J.~P. Maleta;D. Laigleb;A. Remaitrea;O. Maquaire. Triggering conditions and mobility of debris flows associated to complex earthflows[J].Geomorphology,2005,215~235.
    [144] Leonardo Cascini;Sabatino Cuomo;Domenico Guida. Typical source areas of May 1998 flow~like mass movements in the Campania region,Southern Italy[J]. Engineering Geology,2008,107~125.
    [145] Dexuan Zhang;Gonghui Wang.Study of the 1920 Haiyuan earthquake~induced landslides in loess(China)[J]. Engineering Geology,2007,76~88.
    [146] Marc~AndréBrideau;Doug Stead;Charlie Roots;John Orwin. Geomorphology and engineering geology of a landslide in ultramafic rocks,Dawson City,Yukon[J].Engineering Geology,2007,171~194.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700