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基于数据挖掘技术的白水河滑坡多场信息关联准则分析

陈锐, 范小光, 吴益平. 基于数据挖掘技术的白水河滑坡多场信息关联准则分析[J]. 中国地质灾害与防治学报, 2021, 32(6): 1-8. doi: 10.16031/j.cnki.issn.1003-8035.2021.06-01
引用本文: 陈锐, 范小光, 吴益平. 基于数据挖掘技术的白水河滑坡多场信息关联准则分析[J]. 中国地质灾害与防治学报, 2021, 32(6): 1-8. doi: 10.16031/j.cnki.issn.1003-8035.2021.06-01
CHEN Rui, FAN Xiaoguang, WU Yiping. Analysis on association rules of multi-field information of Baishuihe landslide based on the data mining[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 1-8. doi: 10.16031/j.cnki.issn.1003-8035.2021.06-01
Citation: CHEN Rui, FAN Xiaoguang, WU Yiping. Analysis on association rules of multi-field information of Baishuihe landslide based on the data mining[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 1-8. doi: 10.16031/j.cnki.issn.1003-8035.2021.06-01

基于数据挖掘技术的白水河滑坡多场信息关联准则分析

  • 基金项目: 国家自然科学基金项目(41977244;42007267)
详细信息
    作者简介: 陈 锐(1997-),男,硕士研究生,主要从事地质灾害预测预报研究。E-mail:1336104030@qq.com
    通讯作者: 吴益平(1971-),女,教授,博士生导师,从事地质灾害预测预报与风险评价研究。E-mail:ypwu@cug.edu.cn
  • 中图分类号: P642.22

Analysis on association rules of multi-field information of Baishuihe landslide based on the data mining

More Information
  • 为探究滑坡多场监测数据间的关联准则,采用数据挖掘技术中的两步聚类法与Apriori算法,开展滑坡多场信息关联准则研究。以三峡库区白水河滑坡为例,分析ZG93监测点于2003年6月—2016年12月期间的监测数据,选取影响滑坡变形的主要诱发因子,采用两步聚类法对不同的影响因子进行预聚类和聚类,将数值型变量转化为离散型变量后,应用Apriori算法进行处理,生成满足最小置信度的关联准则,建立白水河滑坡多场耦合作用模式下的影响因子与滑坡位移变形关联准则判据。研究表明,关联准则对于滑坡灾害的变形分析具有重要的意义,数据挖掘技术可较好地应用于三峡库区地质灾害位移预测预报中。

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  • 图 1  白水河滑坡工程地质平面图

    Figure 1. 

    图 2  白水河滑坡工程地质剖面图

    Figure 2. 

    图 3  白水河滑坡监测数据曲线

    Figure 3. 

    图 4  滑坡多维信息时序关联判据数据挖掘流程图

    Figure 4. 

    图 5  两步聚类法示意图

    Figure 5. 

    图 6  Apriori算法示意图

    Figure 6. 

    表 7  白水河滑坡月位移速度定性化成果

    Table 7.  Qualitative results of monthly displacement rate of Baishuihe landslide

    月位移速度 v/(mm·mon-1)定性化值
    (1.042,10.669)
    (0.092,0.939)
    (−0.195,0.078)
    下载: 导出CSV

    表 1  白水河滑坡月累计降雨量定性化成果

    Table 1.  Qualitative results of monthly accumulated rainfall of Baishuihe landslide

    月累计降雨量定性化值
    (183.5,517.6)Heavy_Rainfall
    (69.9,179.8)Moderate_Rainfall
    (3.1,66.1)Light_Rainfall
    下载: 导出CSV

    表 2  白水河滑坡日降雨量月度最大值定性化成果

    Table 2.  Qualitative results of monthly maximum rainfall of Baishuihe landslide

    日降雨量月度最大值定性化值
    (55.9,160.7)Heavy_Rain_Shower
    (26.5,55.2)Medium_Rain_Shower
    (1.3,25.6)Light_Rain_Shower
    下载: 导出CSV

    表 3  白水河滑坡库水位月平均值定性化成果

    Table 3.  Qualitative results of monthly average water level of Baishuihe landslide reservoir

    库水位月度平均值定性化值
    (160.14,174.74)High_Water_Level
    (144.21,158.47)Medium_Water_Level
    (135.13,138.95)Low_Water_Level
    下载: 导出CSV

    表 4  白水河滑坡月库水位波动速度定性化成果

    Table 4.  Qualitative results of water level fluctuation rate of Baishuihe landslide monthly reservoir

    月库水位波动速度定性化值
    (13.26,17.35)Sharply_Rise
    (7.23,11.36)Medium_Rise
    (1.57,5.89)Slowly_Rise
    (-1.56,1.31)Smooth Fluctuation
    (-7.09,-3.41)Medium_Drop
    (-13.02,-8.59)Sharply_Drop
    下载: 导出CSV

    表 5  白水河滑坡单月最大有效连续降雨量定性化成果

    Table 5.  Qualitative results of maximum effective continuous rainfall in a single month of Baishuihe landslide

    单月最大有效连续降雨量定性化值
    (110.5,239.4)High_Effective Rainfall
    (36.6,109.8)Medium_Effective Rainfall
    (1.5,36.1)Low_Effective Rainfall
    下载: 导出CSV

    表 6  白水河滑坡单月库水位日浮动最大值定性化成果

    Table 6.  Qualitative results of the maximum daily fluctuation of the water level in a single month of Baishuihe landslide

    单月库水位日浮动最大值
    /m
    定性化值
    (1.66,3.223)Sharply_Rise_Water
    (0.744,1.513)Medium_Rise_Water
    (0.063,0.63)Slowly_Rise_Water
    (−0.414,0)Slowly_Drop_Water
    (−1.697,−0.49)Medium_Drop_Water
    下载: 导出CSV

    表 8  白水河滑坡多场信息关联准则

    Table 8.  Multi field information association criterion of Baishuihe landslide

    规则 ID规则支持度/%置信度/%提升度
    1= High_Water_Level & =Low_Effective Rainfall25.7785.712.02
    2=High_Water_Leve &=Light_Rainfall & =Light_Rain_Shower25.1585.372.02
    3= High_Water_Level & =Light_Rain_Shower28.2286.962.05
    4 = Low_Effective Rainfall & = Slowly_Rise_Water & = Low_Water_Level 8.42100.004.13
    5= Low_Effective Rainfall &= Moderate_Rainfall & =Slowly_Rise & =Slowly_Rise_Water7.56100.004.58
    6= Low_Water_Level &=Slowly_Rise7.56100.004.58
    7= High_Effective Rainfall & = Medium_Water_Level6.1390.005.24
    8= High_Effective Rainfall & = Heavy_Rainfall & = Medium_Water_Level5.5288.895.17
    9= High_Effective Rainfall & =Heavy_Rain_Shower & = Heavy_Rainfall & = Medium_Water_Level5.5288.895.17
    10= Heavy_Rain_Shower & = Heavy_Rainfall & = Medium_Water_Level6.1380.004.66
    下载: 导出CSV
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出版历程
收稿日期:  2020-12-29
修回日期:  2021-02-28
刊出日期:  2021-12-25

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