跳到主要导航 跳到搜索 跳到主要内容

贵渝管道地质灾害驱动因子分析及危险性评价

  • Junhao Gong
  • , Xiuzhen Li*
  • , Wenxiu Yu
  • , Jiming Kong
  • , Cheng Xie
  • , Qiqi Shao
  • , Huayong Xiong
  • *此作品的通讯作者
  • University of Chinese Academy of Sciences
  • Chinese Academy of Sciences
  • State Petroleum and Natural Gas Pipeline Network Group

科研成果: 期刊稿件文章同行评审

摘要

The geohazards along the Guiyu pipeline are highly developed and seriously threaten the pipeline's safe operation. By taking geohazards along the Guiyu pipeline as the research object,a total of 13 driving factors are identified and categorized into five main categories,including predisposing,hydrological,vegetation,topographic and geologi⁃ cal conditions. The driving factors are analyzed for pipeline geohazard's main controlling factors and risk assessment. First⁃ ly,the noise factor is removed using the statistical method of Spearman correlation. The Geodetector model is then used to quantify the importance of each factor in the geohazards. The Support Vector Machine(SVM)model is applied for re⁃ cursive analysis to identify the factor after a steep drop in the Bier score as the main control factor. Finally,by using SVM models,the risk of pipeline geohazards is assessed. The results show that the main controlling factors of pipeline geohaz⁃ ards in the study area include eight factors as slope gradient,aspect,curvature,lithology,average annual rainfall,stream density and fracture zone density. The average annual rainfall and lithology factors are found to be the most signifi⁃ cant contributors to the development of geohazards,with a clear interaction observed between them.

投稿的翻译标题Guiyu Pipeline Geohazard Driver Analysis and Hazard Evaluation
源语言繁体中文
页(从-至)188-195
页数8
期刊Journal of Catastrophology
39
3
DOI
出版状态已出版 - 7月 2024
已对外发布

关键词

  • driving factors analysis
  • geodetector
  • hazard assessment
  • pipeline geohazards
  • support vector machines

指纹

探究 '贵渝管道地质灾害驱动因子分析及危险性评价' 的科研主题。它们共同构成独一无二的指纹。

引用此