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基于多模块的松散土质滑坡灾害综合预警模型研究

Research on integrated early warning model of loose soil landslide disaster based on multiple modules

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【作者】 李明波陈平陈植华王心悦

【Author】 LI Ming-bo;CHEN Ping;CHEN Zhi-hua;WANG Xin-yue;School of Environmental Studies,China University of Geosciences(Wuhan);Hunan Province Geological Environmentmonitoring Station;Hunan Resource Office,Hunan First Normal University;

【机构】 中国地质大学(武汉)环境学院湖南省地质环境监测总站湖南第一师范学院人事处

【摘要】 以辰溪县大水田乡窝棚溪滑坡为研究对象,通过远程全自动变形监测系统获取滑坡体的地表位移、深部位移、地下水渗压、土壤含水率及诱发降雨量等监测数据,在对数据筛选、处理的基础上,分析滑坡的变形特征,确定单体滑坡预警模型评价指标,通过建立滑坡发生概率预警模型、基于孔隙水压力的滑坡启程机制模型和基于降雨渗流过程的滑坡稳定性系数模型,提出松散土质滑坡灾害预警预报临界值的等级划分标准.结果表明,当孔隙水压力大于50 kPa,滑坡稳定性系数大于1时,滑坡处于加速变形阶段.根据每个监测点分别所达到的3个标准的最高预警级别,综合判断滑坡为黄色及以上预警等级.

【Abstract】 In the research of Wopengxi landslide in Dashuitian Township,Chenxi County,the data of surface displacement,deep displacement,groundwater osmotic pressure,soil moisture content,and induced rainfall of the landslide are obtained by using a remote automatic deformation monitoring system. The deformation characteristics of landslide are analyzed and the evaluation index of single landslide early warning model is determined on the basis of data screening and processing. The criteria for the classification of critical values for early warning and forecast of loose soil landslide is proposed by the establishment of the early warning model of landslide occurrence probability,the model of landslide departure mechanism based on pore water pressure and the stability coefficient model of landslide based on rainfall seepage process. The results show that when the pore water pressure above 50,and the landslide stability coefficient greater than 1,the landslide is in the stage of accelerated deformation. As each monitoring point reached the highest warning levels of three standards,it is thus judged that the landslide is at a yellow or higher warning level.

【基金】 湖南省自然资源厅科技计划项目(2019-19)
  • 【文献出处】 西北师范大学学报(自然科学版) ,Journal of Northwest Normal University(Natural Science) , 编辑部邮箱 ,2020年02期
  • 【分类号】P642.22
  • 【被引频次】5
  • 【下载频次】188
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