Renmao Yuan
China Earthquake Administration
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Featured researches published by Renmao Yuan.
Journal of Earth Science | 2012
Chong Xu; Xiwei Xu; Fuchu Dai; Jianzhang Xiao; Xibin Tan; Renmao Yuan
Tens of thousands of landslides were triggered by May 12, 2008 earthquake over a broad area. The main purpose of this article is to apply and verify earthquake-triggered landslide hazard analysis techniques by using weight of evidence modeling in Qingshui (清水) River watershed, Deyang (德阳) City, Sichuan (四川) Province, China. Two thousand three hundred and twenty-one landslides were interpreted in the study area from aerial photographs and multi-source remote sensing imageries post-earthquake, verified by field surveys. The landslide inventory in the study area was established. A spatial database, including landslides and associated controlling parameters that may have influence on the occurrence of landslides, was constructed from topographic maps, geological maps, and enhanced thematic mapper (ETM+) remote sensing imageries. The factors that influence landslide occurrence, such as slope angle, aspect, curvature, elevation, flow accumulation, distance from drainages, and distance from roads were calculated from the topographic maps. Lithology, distance from seismogenic fault, distance from all faults, and distance from stratigraphic boundaries were derived from the geological maps. Normalized difference vegetation index (NDVI) was extracted from ETM+ images. Seismic intensity zoning was collected from Wenchuan (汶川) Ms8.0 Earthquake Intensity Distribution Map published by the China Earthquake Administration. Landslide hazard indices were calculated using the weight of evidence model, and landslide hazard maps were calculated from using different controlling parameters cases. The hazard map was compared with known landslide locations and verified. The success accuracy percentage of using all 13 controlling parameters was 71.82%. The resulting landslide hazard map showed five classes of landslide hazard, i.e., very high, high, moderate, low, and very low. The validation results showed satisfactory agreement between the hazard map and the existing landslides distribution data. The landslide hazard map can be used to identify and delineate unstable hazard-prone areas. It can also help planners to choose favorable locations for development schemes, such as infrastructural, buildings, road constructions, and environmental protection.
Bulletin of the Seismological Society of America | 2010
Renmao Yuan; Xiwei Xu; Guihua Chen; Xibin Tan; Yann Klinger; Huilin Xing
On 12 May 2008, the Mw 7.9 Wenchuan earthquake triggered wide- spread damaging landslides in many parts of the Longmen Shan area. Among these landslides, the Donghekou ejection landslide is quite special. It is located at the north- east end of the Beichuan rupture, and it has caused a great loss of life at the villages of Donghekou, Qinchuan, and Sichuan Provinces. Because of its special location, this ejection landslide differs from landslides caused by gravity or rainstorms only; the sliding surface is not uniformly continuous. Instead, two sections can be distin- guished: an upper section with a step sliding surface and a lower section more gently dipping. The landslide started with material ejection caused by large local seismic acceleration, throwing rocks into the air with a parabolic trajectory before they fell back to the ground. In this paper, we analyze geologic and geomorphologic conditions that favored the occurrence of this landslide, and we introduce a simple tectonic- geomorphology model to explain the mechanism that led to the ejection landslide. We find that the location of the landslide zone, along with the domino-like ground tension cracks observed on both sides of the Beichuan rupture, is controlled by the propagation of the rupture. Our result also suggests that, in addition to local seismic shaking intensity, horizontal acceleration, and geomorphologic and geologic condi- tions, the vertical acceleration and the style of faulting could also play an important role in the occurrence of earthquake-triggered landslides.
Landslides | 2015
Renmao Yuan; Chao-Lung Tang; Qing-hai Deng
In 2008, the Wenchuan Mw 7.9 earthquake triggered a large number of landslides in the Longmenshan area. Among them, the Donghekou landslide is a gigantic one, which buried four villages and one elementary school. During the Wenchuan earthquake, large accelerations, especially vertical, were produced, which should to be taken into account in the dynamic analysis of slope stability. However, the vertical acceleration, which can largely influence the acceleration component normal to the sliding surface, is often overlooked in dynamic analysis of slope stability. In this work, the initiation of the Donghekou landslide is analyzed by using Newmark’s sliding block model. Comparative analyses of conditions both with and without an acceleration component normal to the sliding surface, which is contributed mainly by the vertical acceleration, are then conducted to investigate its role in triggering the Donghekou landslide. Research results show that the initiating time of the Donghekou landslide would be earlier considering the acceleration component normal to the slide surface than without it due to larger estimated Newmark displacement. This conclusion is then verified by simulated results on the basis of DEM. It means that initiation of landslides can be influenced significantly by seismic acceleration component normal to sliding surface, especially in the area with large vertical acceleration.
Landslides | 2013
Fengshan Ma; Jie Wang; Renmao Yuan; Haijun Zhao; Jie Guo
As one of the major problems of geo-engineering, landslides often influence the safety of linear engineering projects that cross mountainous areas. Therefore, when selecting suitable routes for such projects, it is important to assess their susceptibility to landslides. In this paper, we used a natural gas pipeline in the northeast of the Yunnan-Guizhou Plateau of China as a case study to analyze landslide susceptibility. Based on engineering geological analogy, the analytical hierarchy process, and the least-squares method, a regional landslide susceptibility assessment model was developed and was programmed using GIS ArcEngine components under the Visual Studio.NET environment. The landslide susceptibility along the Zhong-Wu natural gas pipeline from Zhongxian County to Wuhan was assessed based on this model and classified into five levels: very safe, safe, moderate, susceptible, and very susceptible. The high accuracy and prediction capability of the model were confirmed by comparing the model results with past landslide data and performing a prediction test. The results indicated that the assessment model used in this study is reliable and can be used for landslide susceptibility assessment and route selection in other areas.
Frontiers of Earth Science in China | 2016
Renmao Yuan; Qinghai Deng; Dickson Cunningham; Zhujun Han; Dongli Zhang; Bingliang Zhang
Predicting approximate earthquake-induced landslide displacements is helpful for assessing earthquake hazards and designing slopes to withstand future earthquake shaking. In this work, the basic methodology outlined by Jibson (1993) is applied to derive the Newmark displacement of landslides based on strong ground-motion recordings during the 2013 Lushan Ms 7.0 earthquake. By analyzing the relationships between Arias intensity, Newmark displacement, and critical acceleration of the Lushan earthquake, formulas of the Jibson93 and its modified models are shown to be applicable to the Lushan earthquake dataset. Different empirical equations with new fitting coefficients for estimating Newmark displacement are then developed for comparative analysis. The results indicate that a modified model has a better goodness of fit and a smaller estimation error for the Jibson93 formula. It indicates that the modified model may be more reasonable for the dataset of the Lushan earthquake. The analysis of results also suggests that a global equation is not ideally suited to directly estimate the Newmark displacements of landslides induced by one specific earthquake. Rather it is empirically better to perform a new multivariate regression analysis to derive new coefficients for the global equation using the dataset of the specific earthquake. The results presented in this paper can be applied to a future co-seismic landslide hazard assessment to inform reconstruction efforts in the area affected by the 2013 Lushan Ms 7.0 earthquake, and for future disaster prevention and mitigation.
Environmental Earth Sciences | 2013
Fengshan Ma; Qinghai Deng; Dickson Cunningham; Renmao Yuan; Haijun Zhao
In mining areas, vertical ventilating shafts are often threatened by ground movements induced by underground mining. In this paper, damage characteristics related to collapse of the vertical ventilating shaft at the No. 14 exploratory line in Jinchuan Nickel Mine, China are documented. The damage mechanism is then analyzed based on comprehensive consideration of geological conditions and distribution of underground excavations. The results indicate that the high dip angle of the ore body and fault/fissures were responsible for the damage of the shaft when ground movements occurred. Although the damaged shaft was repaired in a short time, its stability and safe usage are still threatened by potential future ground movements, because the shaft is located within a subsiding depression induced by underground mining. This case study indicates that when designing an underground mining operation, it is very important to locate a shaft outside of any area where future mining-induced subsidence may occur.
Frontiers of Earth Science in China | 2017
Renmao Yuan; Qinghai Deng; Dickson Cunningham; Zhujun Han; Dongli Zhang; Bingliang Zhang
The original version of this article unfortunately contained a mistake. The presentation of Fig. 1 was incorrect.
Bulletin of the Seismological Society of America | 2010
Guihua Yu; Xiwei Xu; Yann Klinger; G. Diao; Guihua Chen; X. Feng; C. Li; A. Zhu; Renmao Yuan; T. Guo; X. Sun; Xibin Tan; Y. An
Bulletin of the Seismological Society of America | 2013
Renmao Yuan; Qinghai Deng; Dickson Cunningham; Chong Xu; Xiwei Xu; Chung-Pai Chang
Natural Hazards and Earth System Sciences | 2013
Renmao Yuan; Chao-Lung Tang; Jyr-Ching Hu; Xiwei Xu