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降雨作用下黄土浅层滑坡的危险性分析
引用本文:同霄,彭建兵,朱兴华,马鹏辉,孟振江.降雨作用下黄土浅层滑坡的危险性分析[J].水土保持通报,2016,36(3):109-113.
作者姓名:同霄  彭建兵  朱兴华  马鹏辉  孟振江
作者单位:1. 长安大学 地质工程与测绘学院,陕西 西安,710054;2. 长安大学 地质工程与测绘学院,陕西 西安 710054; 西部矿产资源与地质工程教育部重点实验室,陕西 西安 710054
基金项目:国家重点基础研究发展计划“黄土重大灾害及灾害链的发生、演化机制与防控理论”(2014cb744702);中央高校基本科研业务费资助项目“泾河南岸高速远程滑坡运动机理试验研究”(自然科学类基础研究项目)(310826151046)
摘    要:目的]在不同的降雨条件下,对黄土浅层滑坡进行危险性分析,为评价黄土地区浅层滑坡提供有效手段。方法]以甘肃省天水市为例,根据SHALSTAB模型,在ArcGIS中进行二次开发,编写不同降雨量时浅层滑坡危险性分析程序,计算不同降雨量下浅层黄土滑坡分布预测。结果]随着降雨量的增加,浅层滑坡数量明显增多,所占面积比例从5mm/d的0.166%增加为320mm/d的3.624%,上升了20倍左右。结论]当降雨量较小时,浅层滑坡分布于雨水集中汇积的区域,随着降雨的增加,浅层滑坡沿着黄土沟谷向上游延伸。通过和实际发生滑坡灾害进行对比分析,证明计算结果准确可信。

关 键 词:黄土  浅层滑坡  SHALSTAB模型  危险性分析
收稿时间:9/8/2015 12:00:00 AM
修稿时间:2015/11/23 0:00:00

Risk Analysis of Loess Shallow Landslides Under Different Rainfall Conditions
TONG Xiao,PENG Jianbing,ZHU Xinghu,MA Penghui and MENG Zhenjiang.Risk Analysis of Loess Shallow Landslides Under Different Rainfall Conditions[J].Bulletin of Soil and Water Conservation,2016,36(3):109-113.
Authors:TONG Xiao  PENG Jianbing  ZHU Xinghu  MA Penghui and MENG Zhenjiang
Institution:College of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China,College of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China;Key Laboratory of Western Mineral Resources and Geological Engineering of Ministry of Education, Xi''an, Shaanxi 710054, China,College of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China,College of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China and College of Geology Engineering and Geomatics, Chang''an University, Xi''an, Shaanxi 710054, China
Abstract:Objective] To analyze the risk analysis of loess shallow landslide under different rainfall conditions in order to provide an effective way for the loess shallow landslide hazard analysis and evaluation.Methods] The paper took Tianshui City of Gansu Province as a case study and wrote a program to analyze the shallow landslide hazard according to SHALSTAB model under ArcGIS platform. Then the distribution of shallow loess landslide was predicted with consideration of different rainfall conditions.Results] With the increase of rainfall, the shallow landslides increased significantly, and the proportion increased from 0.166% to 3.624% when the rainfall increased from 5 mm/d to 320 mm/d, increased by 20 times.Conclusion] When the precipitation is low, shallow landslides area main distributed in rainfall concentrated area. When the precipitation increases, shallow landslides extend upward along the loess valley. The comparison with the actual landslide disasters showed that the calculation results are accurate and reliable.
Keywords:loess  shallow landslide  SHALSTAB model  risk analysis
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