首页> 外文期刊>国际灾害风险科学学报(英文版) >Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake
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Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake

机译:Newmark和RockFall联合分析模型在地震滑坡风险识别中的应用-以九寨沟地震影响的道路为例

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摘要

Geological disasters are a great threat to people's lives and property.At present,it is difficult to evaluate quantitatively the cascading effects of regional geological disasters,and the development of new methods for such evaluation is much needed.In this study,the authors have developed a joint procedure that couples the Newmark model and the RockFall Analyst model based on a GIS platform in order to identify the impact of seismic landslides on roads.The new method effectively combines two processes-seismic landslide occurrence probability analysis and mass movement trajectory simulation.The permanent displacement derived from the Newmark model is used to identify potential source areas of landslides.Based on the RockFall Analyst model,the possible impact of mass movement on the roads can be simulated.To verify the reliability of the method,the landslides induced by the 2017 Jiuzhaigou Earthquake were taken as a case study.The results suggest that about 21.37% of the study area is at high risk of seismic landslides,and approximately 3.95 km of road sections are at extremely high risk of large landslides.The simulated area is consistent with the distribution of disasters revealed by post-earthquake remote sensing image interpretation and field investigation in existing studies.This indicates that the procedure,which joins the Newmark and RockFall models,has a high reliability for risk identification and can be applied to seismic landslide risk assessment and prediction in similar areas.
机译:地质灾害是对人民生命财产安全的重大威胁。目前,定量评价区域地质灾害的级联效应十分困难,亟需开发新的评价方法。该联合方法基于GIS平台将Newmark模型和RockFall Analyst模型耦合在一起,以识别地震滑坡对道路的影响。该新方法有效地结合了两个过程-地震滑坡发生概率分析和质量运动轨迹模拟。由Newmark模型得出的永久位移用于识别滑坡的潜在源区。在RockFall Analyst模型的基础上,可以模拟质量移动对道路的可能影响。为验证该方法的可靠性,由滑坡引起的滑坡以2017年九寨沟地震为例,研究结果表明约有21.37%的地震灾区为地震灾区。地震滑坡危险性高,大约3.95 km的路段处于大滑坡危险性极高。模拟区域与现有研究中地震后遥感影像解释和现场调查揭示的灾害分布相一致。表明该程序结合了Newmark和RockFall模型,具有很高的风险识别可靠性,可用于类似地区的地震滑坡风险评估和预测。

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  • 来源
    《国际灾害风险科学学报(英文版)》 |2018年第3期|392-406|共15页
  • 作者单位

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100101, China;

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100101, China;

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Beijing 100101, China;

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Beijing 100101, China;

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100101, China;

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