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三峡库区三门洞滑坡监测数据挖掘

黄珏 叶润青 付小林 代贞伟 吴震 陈瑶

华南地质2025,Vol.41Issue(2):288-294,7.
华南地质2025,Vol.41Issue(2):288-294,7.DOI:10.3969/j.issn.2097-0013.2025.02.004

三峡库区三门洞滑坡监测数据挖掘

Mining of Monitoring Data for Sanmendong Landslide in the Three Gorges Reservoir Area

黄珏 1叶润青 1付小林 1代贞伟 1吴震 2陈瑶2

作者信息

  • 1. 中国地质调查局武汉地质调查中心(中南地质科技创新中心),湖北 武汉 430205||高坝大库运行安全湖北省重点实验室(中国长江三峡集团有限公司),湖北 宜昌 443133
  • 2. 中国地质调查局武汉地质调查中心(中南地质科技创新中心),湖北 武汉 430205||中国地质大学(武汉)地质调查研究院,湖北 武汉 430074
  • 折叠

摘要

Abstract

When traditional association rule mining methods is used to analyze geological hazard monitoring big data in the Three Gorges Reservoir area,multiple scanning of the data is required to mine frequent itemsets,resulting in slow speed and low efficiency.By adopting the FP-Growthalgorithm,and with the Sanmendong landslide as an example,two types of influencing factors,i.e.rainfall and reservoir water level,are selected,and six influencing factors are further subdivided for association rule mining with landslide displacement monitoring data.Eight association rule results are screened out and analyzed to find that there is a significant correlation between landslide displacement and atmospheric rainfall as well as reservoir water level,i.e.the greater the rainfall is,the longer the continuous rainfall time lasts,the greater the landslide displacement is;the greater the change of the reservoir water level per unit time is,the greater the landslide displacement is.The impact of a decrease in reservoir water level on landslide displacement is greater than that of an increase in reservoir water level.The research results indicate that,being more efficient than traditional association rule mining methods andmore suitable for big data analysis,the FP-Growth algorithm can provide implicit,comprehensible and valuable information in big data,and the association rules mined from monitoring data are helpful for landslide deformation analysis.Given the characteristics of multi-source,heterogeneous,and massive geological disaster prevention and control data in the Three Gorges Reservoir area,big data analysis techniques should be more widely applied in geological disaster prevention and control work in the Three Gorges Reservoir area.

关键词

关联规则/FP-Growth算法/大数据分析/三门洞滑坡/三峡库区

Key words

association rules/FP-Growth algorithm/big data analysis/Sanmendong landslide/the Three Gorges Reservoir area

分类

天文与地球科学

引用本文复制引用

黄珏,叶润青,付小林,代贞伟,吴震,陈瑶..三峡库区三门洞滑坡监测数据挖掘[J].华南地质,2025,41(2):288-294,7.

基金项目

水利部国家重大水利工程建设基金三峡后续工作地质灾害防治项目(000121 2024C C60 003) (000121 2024C C60 003)

华南地质

1007-3701

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