A Method of Dynamic Data Mining for Landslide Monitoring Data

DUAN Gong-hao; NIU Rui-qing

doi:10.3969/j.issn.1001-5485.2013.05.09

PDF(1130 KB)

Journal of Changjiang River Scientific Research Institute ›› 2013, Vol. 30 ›› Issue (5) : 38-41. DOI: 10.3969/j.issn.1001-5485.2013.05.09

Engineering Safety and Disaster Prevention

A Method of Dynamic Data Mining for Landslide Monitoring Data

DUAN Gong-hao,NIU Rui-qing

Author information +

History +

Abstract

To efficiently excavate the knowledge from substantial and dynamic landslide monitoring data,we put forward a data mining approach using oracle trigger to monitor data. In order to improve the fitting precision of forecasting model,the time series model ARIMA (Autoregressive Integrated Moving Average Model) was employed to forecast the accumulative displacement and the Oracle trigger was used to refine the monitoring data and optimize the model parameter. Bazimen landslide was taken as a case study. The results indicate that the method improves the mining result of traditional static data and helps people to realize the value of dynamic data in landslide prevention.

Key words

dynamic data mining / landslide monitoring / Oracle trigger / ARIMA

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

DUAN Gong-hao,NIU Rui-qing. A Method of Dynamic Data Mining for Landslide Monitoring Data[J]. Journal of Changjiang River Scientific Research Institute. 2013, 30(5): 38-41 https://doi.org/10.3969/j.issn.1001-5485.2013.05.09

References

［1］殷跃平.汶川八级地震滑坡特征分析［J］.工程地质学报，2008，17(1)：29-38.(YIN Yue-ping. Features of Landslides Triggered by the Wenchuan Earthquake［J］. Journal of Engineering Geology,2008,17(1): 29-38.(in Chinese))
［2］马水山，王志旺，张漫.滑坡监测资料的因子分析［J］ .岩石力学与工程学报，2002，21(7)：1003-1006.(MA Shui-shan,WANG Zhi-wang,ZHANG Man. Factor Analysis on Monitoring Data of Landslide［J］. Chinese Journal of Rock Mechanics and Engineering,2002,21(7):1003-1006.(in Chinese))
［3］张军.数据挖掘在滑坡位移及敏感性分析中的应用研究［D］.武汉：武汉大学，2005.(ZHANG Jun. Application of Data Mining to Analyzing Landslide Displacement and Sensitivity［D］. Wuhan: Wuhan University,2005.(in Chinese))
［4］殷坤龙，陈丽霞，张桂荣.区域滑坡灾害预测预警与风险评价［J］.地学前缘，2007，(6):85-97.(YIN Kun-long,CHEN Li-xia,ZHANG Gui-rou. Regional Landslide Hazard Prediction and Risk Assessment［J］. Earth Science Frontier,2007,(6): 85-97.(in Chinese))
［5］ WANG H B,LIU G J,XU W Y,et al. GIS-Based Landslide Hazard Assessment: An Overview［J］. Progress in Physical Geography,2005,29(4): 548-567.
［6］ NEFESLIOGLU H A,SEZER E,GOKCEOGLU C,et al. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul,Turkey［J］. Mathematical Problems in Engineering,doi:10.1155/2010/901095.
［7］蒋征，张正禄.滑坡变形的模式识别［J］.武汉大学学报(信息科学版)，2002，(2):127-132.(JIANG Zheng,ZHANG Zheng-lu. Model Recognition of Landslide Deformation［J］. Journal of Wuhan University (Information Science Edition),2002,(2): 127-132.(in Chinese))
［8］滕明鑫，熊忠阳，张玉芳.动态数据挖掘研究［J］. 计算机应用，2008,28(增1)，160-162.(TENG Ming-xin,XIONG Zhong-yang,ZHANG Yu-fang. Research on Dynamic Data Mining［J］. Journal of Computer Applications,2008,28(Sup.1): 160-162.(in Chinese))
［9］李贵斌.ARIMA模型差分阶估计方法的比较［J］.应用概率统计，1994，(4)：353-362.(LI Gui-bing. Estimation of Parameters in ARIMA Models［J］. Acta Mathematicae Applicatae Sinica,1994,(4): 353-362.(in Chinese))
［10］GREENWALD R,STACKOWIAK R,DODGE G,et al. Professional Oracle Programming［M］. US: Wiley Publishing,Inc..
［11］邬少飞，韦司滢.动态工作流中利用触发器监控信息与数据流［J］.计算机工程与设计，2007，28(23):5765-5766.(WU Shao-fei,WEI Si-ying. Monitoring Data Flows and Information Using Triggers in Dynamic Workflow［J］. Computer Engineering and Design,2007,28(23): 5765-5766.(in Chinese))