期刊文献+

陕京管道滑坡灾害预警标准计算与分析 被引量:3

Calculation and analysis on landslide hazard pre-warning standard for Shaanxi-Beijing Pipeline
原文传递
导出
摘要 为了研究陕京管道滑坡灾害监测预警技术,以管道地质灾害监测方法为理论依据,选取研究区内典型滑坡体为研究对象,综合考虑地灾点的发育情况、典型性、对管道的威胁程度、设备的保存安全性等条件,设计监测方案,安装一体化专业监测设备,收集地灾点的降雨量、滑坡地表裂缝位移及深部位移等监测数据。分析监测数据发现:陕京管道沿线滑坡现阶段变形量很小,整体较稳定,不会因发生滑坡而威胁管道隧道安全。预警分析发现:无雨状态下,滑坡体最稳定,滑坡体最大位移最小。随着降雨量的增多,滑坡体稳定性下降,最大位移变大,体现在滑坡体上即裂缝增大。为了得到一个预警的变形值,分别取3种工况时的80%位移值为预警标准值,分级确定了预警标准位移。 In order to develop the landslide hazard pre-waming technology for Shaanxi-Beijing Pipeline, a typical sliding mass in the study area was selected as the study object and the monitoring method for geological hazard along pipelines was taken as the theoretical basis. Firstly, the geological hazard spot was comprehensively investigated in terms of development situation, typicality, threat degree to pipeline, and equipment preservation safety. Secondly, the monitoring program was designed and the integrated specialized monitoring equipment was installed to collect the monitoring data, e.g. rainfall, surface crack displacement of landslide and its deep displacement. The analysis on the monitoring data shows that the sliding mass is stable as a whole with little deformation and poses no threat to the safety of the pipeline tunnel. Pre-warning analysis indicates that in the state of no rain, the sliding mass is the most stable with the least maximum displacement. With the increasing of rainfall, the stability of the sliding mass declines and its maximum displacement increases in the form of fracture increase. And finally, 80% of the displacement values in three kinds of working conditions were taken respectively as the pre-warning standard values in order to obtain a pre-warning deformation, and pre-warning standard displacement was determined based on different grades.
出处 《油气储运》 CAS 北大核心 2016年第10期1092-1097,共6页 Oil & Gas Storage and Transportation
基金 国家科技支撑计划“基于风险的油气管道事故预防关键技术研究子任务”,11BAK06B01-11-03
关键词 陕京管道 滑坡灾害 监测设备 数据分析 预警标准 Shaanxi-Beijing Pipeline, landslide hazard, monitoring equipment, data analysis, pre-warning standard
  • 相关文献

参考文献5

二级参考文献52

共引文献47

同被引文献42

引证文献3

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部