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Estimating the properties of weathered bedrock and pile-rock interaction from the geological strength index

Journal of Mountain Science 2018年第8期15卷 1757-1776页

作者： ZHOU Chun-mei SHAO Wei YIN Kun-long yang zong-ji School of Civil Engineering and architecture Wuhan Institute of Technology Key laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters/School of Hydrology and Water Resources Nanjing University of Information Science and Technology Faculty of Engineering China University of Geosciences Key Laboratory of Mountain Hazards and Surface Processes Institute of Mountain Hazards and Environment Chinese Academy of Sciences

The effect of variable rock mass properties on pile-rock interaction poses a great challenge to the design of stabilizing piles and numerical analysis of pile-rock interaction. The paper presents a novel method to estimate the properties of weathered bedrock, which can be applied to routine design of landslide-stabilizing piles for collivial landslides. The Ercengyan landslide located in the Three Gorges Reservoir, China, is the area of interest for this study. A geological investigation and triaxial tests were conducted to estimate the basic parameters, including Geological Strength Index(GSI), uniaxial compressive strength σ_(ci) and Hoek-Brown constant m_i of intact bedrock in the study area. Hoek-Brown criterion was used to estimate mechanical properties of the weathered rock, including elastic modulus E_m, cohesion c, friction angle Φ, and normal ultimate lateral resistance p_(max). A parametric study was performed to evaluate the effect of parameterizations of GSI, σ_(ci) and m_i on the bedrock properties and p-y curves. The estimated rock mass properties were used with PLAXIS 2D software to simulate pile-rock interaction. Effect of GSI on stress at the pile-rock interface and in the rock, pile bending moment, pile shear force, and p-y curve were analysed.

关键词： Landslide Stabilizing pile Weathered rock Pile-rock interaction Geological strength index

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Early warning model for slope debris flow initiation

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Journal of Mountain Science 2018年第6期15卷 1342-1353页

作者： LI Ming-li jiANG Yuan-jun yang Tao HUANG Qiang-bing QIAO jian-ping yang zong-ji Key Laboratory of Mountain Hazards and Earth Surface Process of Chinese Academy of Sciences Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China Chengdu Center of Hydrogeology and Engineering Geology of Sichuan Bureau of Geology&Mineral Resources Chengdu 610000China Department of Geological Engineering Chang'an UniversityXi'an 710054China

Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the Yindongzi gully in Dujiangyan City, Sichuan province, China with scaled-down model experiments. We set rainfall intensity and slope angle as dominating parameters and carried out 20 scaled-down model tests under artificial rainfall conditions. The experiments set four slope angles(32°, 34°, 37°, 42°) and five rainfall intensities(60 mm/h, 90 mm/h, 120 mm/h, 150 mm/h, and 180 mm/h) treatments. The characteristic variables in the experiments, such as, rainfall duration, pore water pressure, moisture content, surface inclination, and volume were monitored. The experimental results revealed the failure mode of loose slope material and the process of slope debris flow initiation, as well as the relationship between the surface deformation and the physical parameters of experimental model. A traditional rainfall intensity-duration early warning model(I-D model) was firstly established by using a mathematical regression analysis, and it was then improved into ISD model and ISM model(Here, I is rainfall Intensity, S is Slope angle, D is rainfall Duration, and M is Moisture content). The warning model can provide reliable early warning of slope debris flow initiation.

关键词： Slope debris flow Artificial rainfallmodel Early warning model Model experiment

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Hydro-mechanical analysis of rainfall-induced fines migration process within unsaturated soils

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Journal of Mountain Science 2017年第12期14卷 2603-2619页

作者： LEI Xiao-qin yang zong-ji HE Si-ming LIU En-long WONG Henry LI Xin-po Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and EnvironmentChinese Academy of Sciences College of Water Resource & Hydropower Sichuan University Center for Excellence in Tibetan Plateau Earth Sciences CAS Laboratoire de Génie Civil et Batiment Ecole Nationale des Travaux Publics de l’Etat Université de Lyon

Seepage-induced fines migration under rainfall infiltration is a main cause leading to shallow failures in loose colluvial slopes. To describe the full process of fines migration within unsaturated soils during rainfall infiltration and the associated hydromechanical behaviors, a seepage-erosion-deformation coupled formulation is proposed in this paper. The governing equations proposed are implemented into a finite element code and used to investigate the influences of skeleton deformation on the rainfall infiltration process through unsaturated soil *** numerical results were presented in detail for a better understanding of the rainfall-induced fines migration process within unsaturated soils. Further,the obtained results are integrated into an infinite slope model for slope stability analysis. The results show that, the skeleton deformation will affect the rainfall infiltration rate and hence the timing of slope failures; meanwhile their influences are more evident if the fines deposition process is taken into ***, the slope stability could be reduced gradually due to the soil strength loss along with loss of fine particles. Therefore, particular attentions should be paid to analyzing the stability of soil slopes susceptible to internal erosion.

关键词： Rainfall infiltration Fines migration Internal erosion Seepage deformation Slope stability

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“4·20”芦山Ms7.0级地震次生山地灾害特征

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四川大学学报（工程科学版） 2013年第4期45卷 76-83页

作者：杨宗佶中国科学院山地灾害与地表过程重点实验室四川成都610041 中国科学院成都山地灾害与环境研究所四川成都610041

北京时间2013年4月20日08时02分,在四川省雅安市芦山县发生7.0级大地震。大地震同时诱发大量滑坡、崩塌等同震次生山地灾害。据现场应急调查,地震次生山地灾害主要以中小规模崩塌灾害为主,根据灾害发生的地层岩性,分别归纳了砾岩地层崩... 详细信息

北京时间2013年4月20日08时02分,在四川省雅安市芦山县发生7.0级大地震。大地震同时诱发大量滑坡、崩塌等同震次生山地灾害。据现场应急调查,地震次生山地灾害主要以中小规模崩塌灾害为主,根据灾害发生的地层岩性,分别归纳了砾岩地层崩塌、砂泥岩地层崩塌、灰岩直立地层崩塌、堆积层滑坡及滑坡碎屑流5个主要类型。在对典型灾害体灾害特征、破坏模式和影响因素进行初步分析的基础上,提出区域构造背景为"4·20"芦山地震次生灾害的主控因素。芦山地震次生灾害具有群发性、滞后性特点,在后地震时期降雨激发条件下可能产生严重泥石流滑坡等山地灾害。因此,后地震时期在极震区特别是集中安置区,山地灾害监测预警工作十分重要。

关键词：芦山地震次生山地灾害特征类型形成机制

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Geomorphic and tectonic controls of landslides induced by the 2022 Luding earthquake

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Journal of Mountain Science 2022年第12期19卷 3323-3345页

作者： ZHAO Bo HU Kai-heng yang zong-ji LIU Qiao ZOU Qiang CHEN Hua-yong ZHANG Bo ZHANG Wei-feng ZHU Lei SU Li-jun Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu610041China China-Pakistan Joint Research Center on Earth Sciences Islamabad45320Pakistan University of Chinese Academy of Sciences Beijing100049China

On 05 September 2022,an Ms 6.8(Mw 6.6)earthquake occurred in Luding County,Sichuan Province,China,with the epicenter at 29.59°N,102.08°E and a focal depth of approximately *** field investigations,high-resolution satellite images and multiple datatpes characterizing the seismogenic structure,topography and geology,this study attempts to discuss the influence of geomorphic and tectonic indexes on landslide *** results show that the 2022 Luding earthquake with seismogenic fault at the Moxi fault,was a sinistral strike-slip event that triggered at least 4528landslides over an area of~2000 *** landslides span a total area of 28.1 km^(2),and the western section of the seismogenic fault,which serves as the active wall area,is characterized by a higher landslide concentration,especially in the Wandong *** seismogenic fault and lithology influence the regional distribution of landslides,and more landslides occurred closer to the seismogenic fault and in the controlling lithologies of granite and *** topography influences the landslide occurrence position on the slope;the eastern section is prone to form landslides in the lower gorge section,and the western section is prone to form landslides in the upper-top section of the *** coseismic landslides in the eastern Baryan Har block,the eastern boundary(Longmenshan fault),where the earthquakes are characterized by thrusts with slight dextral strike-slip movement,could be the primary landslide-prone area;the southern boundary,the Moxi fault and the southern segment of the Xianshuihe fault,with more intensive strikeslip movement,may be the secondary landsideprone area;and the northern boundary is the tertiary landside-prone ***,the current landslide inventory may be underestimated although this underestimation has limited influence on the results.

关键词： Landslides Luding earthquake Spatial distribution Geomorphic index Tectonic index

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Assessment of prospective hazards resulting from the 2017 earthquake at the world heritage site jiuzhaigou Valley, Sichuan, China

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Journal of Mountain Science 2018年第4期15卷 779-792页

作者： CHEN Xiao-qing CHEN jian-gang CUI Peng YOU Yong HU Kai-heng yang zong-ji ZHANG Wei-feng LI Xin-po WU Yong Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and Environment Chinese Academy of Sciences (CAS) Chengdu 610041 China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101 China Youth Innovation Promotion Association CAS Beijing 100029 China

On August 8, 2017, a Ms = 7.0 magnitude earthquake occurred in the jiuzhaigou Valley, in Sichuan Province, China(N: 33.20°, E: 103.82°). jiuzhaigou Valley is an area recognized and listed as a world heritage site by UNESCO in 1992. Data analysis and field survey were conducted on the landslide, collapse, and debris flow gully, to assess the coseismic geological hazards generated by the earthquake using an unmanned aerial vehicle(UAV), remote-sensing imaging, laser range finders, geological radars, and cameras. The results highlighted the occurrence of 13 landslides, 70 collapses, and 25 potential debris flow gullies following the earthquake. The hazards were classified on the basis of their size and the potential property loss attributable to them. Consequently, 14 large-scale hazards, 30 medium-sized hazards, and 64 small hazards accounting for 13%, 28%, and 59% of the total hazards, respectively, were identified. Based on the variation tendency of the geological hazards that ensued in areas affected by the Kanto earthquake(Japan), Chi-chi earthquake(Taiwan China), and Wenchuan earthquake(Sichuan China), the study predicts that, depending on the rain intensity cycle, the duration of geological hazard activities in the jiuzhaigou Valley may last over ten years and will gradually decrease for the following five to ten yearsbefore returning to pre-earthquake levels. Thus,necessary monitoring and early warning systems must be implemented to ensure the safety of residents,workers and tourists during the construction of engineering projects and reopening of scenic sites to the public.

关键词： 2017 jiuzhaigou earthquake Disaster risk Geological hazard Landslide World heritage site jiuzhaigou Valley

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基于信息熵的典型滑坡危险度评价研究

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四川大学学报（工程科学版） 2008年第4期40卷 47-52页

作者：杨宗佶乔建平中国科学院.水利部成都山地灾害与环境研究所

为了定量地对典型滑坡危险度进行评价,根据典型滑坡的强度指标和发生可能性指标建立典型岩质滑坡危险度评价指标体系,利用信息熵原理,结合中国科学院成都山地所滑坡数据库(CDM I)中奉节县24个典型岩质滑坡计算各评价因子客观权重,建立... 详细信息

为了定量地对典型滑坡危险度进行评价,根据典型滑坡的强度指标和发生可能性指标建立典型岩质滑坡危险度评价指标体系,利用信息熵原理,结合中国科学院成都山地所滑坡数据库(CDM I)中奉节县24个典型岩质滑坡计算各评价因子客观权重,建立定量评价模型。计算奉节县24个典型岩质滑坡的危险度,通过实地调查对评价结果进行对比验证,危险度评价结果准确率达87.5%,可作为评价典型滑坡危险度的新方法进行推广运用,为滑坡的防治提供依据。

关键词：信息熵典型滑坡危险度评价奉节县

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Distribution patterns of landslides triggered by the 2022 Ms 6.8 Luding earthquake,Sichuan,China

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Journal of Mountain Science 2023年第3期20卷 607-623页

作者： ZHANG jian-qiang yang zong-ji MENG Qing-kai WANG jiao HU Kai-heng GE Yong-gang SU Feng-huan ZHAO Bo ZHANG Bo jiANG Ning HUANG Yu MING Zai-yang ZHANG Yi-fan LIU Zhen-xing WU Chun-hao ZHOU Wen-tao LIANG Xin-yue SUN Yu-qing yang Lian-bing YAO Hong-kun FENG Pei-hua LIU jia-li Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Bejing 100049China East China University of Technology Nanchang 330013China Institute of Geographic Sciences and Natural Resources Research Beijing 100101China Chongqing jiaotong University Chongqing 400074China

At 12:52 pm on September 5,2022,an Ms 6.8 earthquake occurred in Luding County,Sichuan Province,*** on high-resolution aerial photographs and satellite imageries obtained after the earthquake,as well as field investigation,a total of 8685 earthquake-triggered landslides(EQTLs)were *** landslides covered an area of 30.7km^(2),with a source area of 9.4 km^(2).These EQTLs were mainly distributed in areas with a seismic intensity of VIII and *** of the landslides were small and medium in size,and their types included landslide,rockfall,and rock *** landslide distributions were found,EQTLs were distributed along the Xianshuihe fault,landslide area decreased gradually with an increased distance to the fault;EQTLs were distributed along the Daduhe River and roads;besides,landslide distribution was associated with ground deformation caused by the ***’characteristics indicated that,a large number of EQTLs were located near the foot of the slope;the full area of EQTLs and their source area followed a power *** study concluded that Luding EQTLs were greater in number and area but relatively smaller in terms of affected *** on geo-hazards post-earthquake and risk assessment were proposed in the earthquake-stricken area to support the rehabilitation and reconstruction.

关键词： 2022 Luding earthquake Earthquaketriggered landslide Landslide inventory Distribution patterns

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彭州市震后地质灾害特征与重建建议

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四川大学学报（工程科学版） 2010年第S1期42卷 33-37页

作者：田宏岭杨宗佶王萌中国科学院地表过程与山地灾害重点实验室中国科学院水利部成都山地灾害与环境研究所四川成都610041

彭州市在"5.12"地震后的发生大量地质灾害,灾后重建必须考虑地质灾害的特征。通过现场调查与灾害类型、规模、与地震及降雨关系等数据分析,得到彭州市地震次生地质灾害特征与分布。结合旅游业数据,分析了地质灾害的主要危害及带来的相... 详细信息

彭州市在"5.12"地震后的发生大量地质灾害,灾后重建必须考虑地质灾害的特征。通过现场调查与灾害类型、规模、与地震及降雨关系等数据分析,得到彭州市地震次生地质灾害特征与分布。结合旅游业数据,分析了地质灾害的主要危害及带来的相应的机遇。在上述分析基础上,提出构建可持续化发展的建议。

关键词： “5.12”地震震后地质灾害分布特征重建

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基于熵权的典型滑坡危险度评价

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自然灾害学报 2009年第4期18卷 31-36页

作者：杨宗佶乔建平中国科学院水利部成都山地灾害与环境研究所四川成都610041 中国科学院研究生院北京100049

根据典型滑坡的强度指标和发生可能性指标建立了典型滑坡危险度评价指标体系,利用信息熵原理,结合中国科学院成都山地所滑坡数据库(CDM I)中云阳县18个典型岩质滑坡的资料计算了各评价因子的客观权重,建立了定量评价模型。计算了云阳县1... 详细信息

根据典型滑坡的强度指标和发生可能性指标建立了典型滑坡危险度评价指标体系,利用信息熵原理,结合中国科学院成都山地所滑坡数据库(CDM I)中云阳县18个典型岩质滑坡的资料计算了各评价因子的客观权重,建立了定量评价模型。计算了云阳县18个典型岩质滑坡的危险度,通过实地调查对评价结果进行了对比验证,危险度评价结果准确率达83.3%,该方法可作为评价典型滑坡危险度的新方法进行推广运用,为滑坡的防治提供参考。

关键词：典型滑坡危险度评价信息熵云阳县

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