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

Rui CHEN; Xiaoguang FAN; Yiping WU

doi:10.16031/j.cnki.issn.1003-8035.2021.06-01

Volume 32 Issue 6

Dec. 2021

Turn off MathJax

Article Contents

Abstract

References

The Chinese Journal of Geological Hazard and Control > 2021 > 32(6): 1-8. > DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-01

Rui CHEN, Xiaoguang FAN, Yiping WU. 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:

PDF (3550 KB)

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

1.
Faculty of Engineering, China University of Geosciences, Wuhan, Hubei　430074, China
2.
Henan Electric Power Survey & Design Institute, Zhengzhou, Henan　450007, China

More Information

Received Date: December 28, 2020
Revised Date: February 27, 2021
Available Online: October 21, 2021

Graphical Abstract

Abstract

Abstract

In order to explore the association criteria of landslide multi-field monitoring data, we have adopted the two-step clustering method and Apriori algorithm, which belong to the classical data mining method, and we have also proposed the process of landslide monitoring data mining. Based on the Baishuihe landslide in the Three Gorges Reservoir Area, we analyzed the monitoring data of ZG93 from June 2003 to June 2016. The main inducing factors of the landslide displacement were selected, and the two-step clustering method was used to pre-cluster and cluster the different influence factors. We used Apriori algorithm to deal with the classified variables to generate frequent item sets that satisfy the minimum support degree. The association rules between the precipitating factors and the landslide deformation are established under the multi-field coupling mode of Baishuihe landslide. The results show that the correlation criterion is of great significance to the deformation analysis of landslide hazards and the data mining technology can be applied to the displacement prediction of geological hazards in the Three Gorges Reservoir Area.
- reservoir landslide,
- data mining,
- two-step clustering method,
- Apriori algorithm,
- association rules

FullText(HTML)

References (20)

References

[1]	王树良, 王新洲, 曾旭平, 等. 滑坡监测数据挖掘视角[J]. 武汉大学学报(信息科学版),2004,29(7):608 − 610. [WANG Shuliang, WANG Xinzhou, ZENG Xuping, et al. View angle of landslide-monitoring data mining[J]. Geomatics and Information Science of Wuhan University,2004,29(7):608 − 610. (in Chinese with English abstract)
[2]	张纯志. 滑坡监测数据处理回归模型分析及探讨[J]. 测绘与空间地理信息,2016,39(8):214 − 217. [ZHANG Chunzhi. Landslide monitoring data processing regression model analysis and discussion[J]. Geomatics & Spatial Information Technology,2016,39(8):214 − 217. (in Chinese with English abstract) DOI: 10.3969/j.issn.1672-5867.2016.08.064
[3]	徐峰, 汪洋, 杜娟, 等. 基于时间序列分析的滑坡位移预测模型研究[J]. 岩石力学与工程学报,2011,30(4):746 − 751. [XU Feng, WANG Yang, DU Juan, et al. Study of displacement prediction model of landslide based on time series analysis[J]. Chinese Journal of Rock Mechanics and Engineering,2011,30(4):746 − 751. (in Chinese with English abstract)
[4]	MA J W, TANG H M, LIU X, et al. Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5.0 and two-step cluster algorithms: a case study in the Three Gorges Reservoir area, China[J]. Landslides,2017,14(3):1275 − 1281. DOI: 10.1007/s10346-017-0804-0
[5]	MA J W, TANG H M, HU X L, et al. Identification of causal factors for the Majiagou landslide using modern data mining methods[J]. Landslides,2017,14(1):311 − 322. DOI: 10.1007/s10346-016-0693-7
[6]	亓呈明, 崔守梅, 陈辉, 等. 滑坡成因决策树挖掘[J]. 中国地质灾害与防治学报,2006,17(1):73 − 76. [QI Chengming, CUI Shoumei, CHEN Hui, et al. Decision-making tree for analysis of landslide causes[J]. The Chinese Journal of Geological Hazard and Control,2006,17(1):73 − 76. (in Chinese with English abstract) DOI: 10.3969/j.issn.1003-8035.2006.01.017
[7]	何少其, 刘元雪, 梁叶, 等. “阶跃式”滑坡突变预测与核心因子提取的平衡集成树模型[J]. 中国地质灾害与防治学报,2019,30(5):27 − 36. [HE Shaoqi, LIU Yuanxue, LIANG Ye, et al. Balanced decision tree ensemble model for catastrophe prediction and key factors' extraction of step-like landslides[J]. The Chinese Journal of Geological Hazard and Control,2019,30(5):27 − 36. (in Chinese with English abstract)
[8]	马水山, 王志旺, 张漫. 基于关联规则挖掘的滑坡监测资料分析[J]. 长江科学院院报,2004,21(5):48 − 51. [MA Shuishan, WANG Zhiwang, ZHANG Man. Analysis on monitoring data of landslide based on associative data mining[J]. Journal of Yangtze River Scientific Research Institute,2004,21(5):48 − 51. (in Chinese with English abstract) DOI: 10.3969/j.issn.1001-5485.2004.05.014
[9]	段功豪. 三峡库区堆积层滑坡预报判据的动态挖掘研究[D]. 武汉: 中国地质大学, 2013. DUAN Gonghao. Study on prediction criteria of accumulated layer landslide in Three Gorges reservoir using dynamic data mining[D]. Wuhan: China University of Geosciences, 2013. (in Chinese with English abstract)
[10]	HUANG H F, YI W, LU S Q, et al. Use of monitoring data to interpret active landslide movements and hydrological triggers in Three Gorges reservoir[J]. Journal of Performance of Constructed Facilities,2016,30(1):C4014005. DOI: 10.1061/(asce)cf.1943-5509.0000682
[11]	孙义杰. 库岸边坡多场光纤监测技术与稳定性评价研究[D]. 南京: 南京大学, 2015. SUN Yijie. Bank slope multi-fields monitoring based on fiber optic sensing technologies and stability evaluation study[D]. Nanjing: Nanjing University, 2015. (in Chinese with English abstract)
[12]	TSAI F, LAI J S, CHEN W W, et al. Analysis of topographic and vegetative factors with data mining for landslide verification[J]. Ecological Engineering,2013,61:669 − 677. DOI: 10.1016/j.ecoleng.2013.07.070
[13]	马俊伟. 渐进式滑坡多场信息演化特征与数据挖掘研究[D]. 武汉: 中国地质大学, 2016. MA Junwei. Evolution characteristics of multiple physics-based parameters and data mining technology for progressive landslides[D]. Wuhan: China University of Geosciences, 2016. (in Chinese with English abstract)
[14]	SUN G H, ZHENG H, HUANG Y Y, et al. Parameter inversion and deformation mechanism of Sanmendong landslide in the Three Gorges Reservoir region under the combined effect of reservoir water level fluctuation and rainfall[J]. Engineering Geology,2016,205:133 − 145. DOI: 10.1016/j.enggeo.2015.10.014
[15]	李麟玮, 吴益平, 苗发盛, 等. 考虑变形状态动态切换的阶跃型滑坡位移区间预测方法[J]. 岩石力学与工程学报,2019,38(11):2272 − 2287. [LI Linwei, WU Yiping, MIAO Fasheng, et al. Displacement interval prediction method for step-like landslides considering deformation state dynamic switching[J]. Chinese Journal of Rock Mechanics and Engineering,2019,38(11):2272 − 2287. (in Chinese with English abstract)
[16]	易庆林, 张明玉, 文凯, 等. 三峡库区白水河滑坡变形特征及影响因素的阶段分析[J]. 三峡大学学报(自然科学版),2017,39(1):38 − 42. [YI Qinglin, ZHANG Mingyu, WEN Kai, et al. Periodic analysis of deformation characteristics and influential factors of Baishuihe landslide in Three Gorges reservoir area[J]. Journal of China Three Gorges University (Natural Sciences),2017,39(1):38 − 42. (in Chinese with English abstract)
[17]	CHIU T, FANG D P, CHEN J, et al. A robust and scalable clustering algorithm for mixed type attributes in large database environment[C]//Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '01. August 26-29, 2001. San Francisco, California. New York: ACM Press, 2001: 263-268.
[18]	AGRAWAL R, IMIELIŃSKI T, SWAMI A. Mining association rules between sets of items in large databases[C]//Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. May 25-28, 1993. Washington, D. C. , USA. New York: ACM Press, 1993: 207-216.
[19]	WU X L, BENJAMIN ZHAN F, ZHANG K X, et al. Application of a two-step cluster analysis and the Apriori algorithm to classify the deformation states of two typical colluvial landslides in the Three Gorges, China[J]. Environmental Earth Sciences,2016,75(2):1 − 16.
[20]	LI D Y, SUN Y Q, YIN K L, et al. Displacement characteristics and prediction of Baishuihe landslide in the Three Gorges Reservoir[J]. Journal of Mountain Science,2019,16(9):2203 − 2214. DOI: 10.1007/s11629-019-5470-3

[1]	Hao LU, Shuqiang LU, Jiale LI, Zhen LIN, Yong LI. Interpretable landslide susceptibility evaluation using a BP neural network model optimized by multiple algorithms[J]. The Chinese Journal of Geological Hazard and Control. DOI: 10.16031/j.cnki.issn.1003-8035.202411006
[2]	He REN, Junhao WANG, Wenjie XU, Hengwei WANG, Xiaoyang DONG, Wenchao SUN, Mingming FENG, Fei LYU. Stability and Dynamic hazard Analysis of Dumpsites Based on MPM-DEM Coupling Algorithm[J]. The Chinese Journal of Geological Hazard and Control. DOI: 10.16031/j.cnki.issn.1003-8035.202408011
[3]	Pengying YI, Junzhi LIN, Tao CHEN, Zhiyong WU. Mechanism of bending-sideslip of inclined thick bedding slope: A case study of Qingkou landslide in Wulong, Chongqing[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(3): 36-42. DOI: 10.16031/j.cnki.issn.1003-8035.202212014
[4]	Yu FENG, Huaien ZENG, Pengfei TU. Research on prediction model of landslide creep displacement on genetic algorithm[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(1): 82-91. DOI: 10.16031/j.cnki.issn.1003-8035.202209038
[5]	Mengjiao TAN, Kunlong YIN, Zhiyong FU, Chunfang ZHU, Xiaohu TAO, Yanhui ZHU. Analysis on groundwater response characteristics of Madiwan landslide under the influence of rainfall and reservoir water[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(1): 45-57. DOI: 10.16031/j.cnki.issn.1003-8035.2022.01-06
[6]	Chenglin MU, Zhaohui XI, Xiangjun PEI, Shenghua CUI. Development and distribution rules of geohazards in Diexi- Songpinggou scenic area in a meizoseismal area[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(3): 124-130. DOI: 10.16031/j.cnki.issn.1003-8035.2021.03-16
[7]	GUO Song, GUO Guangli, LI Huaizhan, YANG Xiangsheng. Goaf-collapse sites stability evaluation based on principal component hierarchical clustering model[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 116-121. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.15
[10]	FENGGuo-Cai, LIQiang, MENGLing-Hui. Failure rules of overburden strata in fully-mechanized sublevel caving mining of specially thick coal seam of Daping mine[J]. The Chinese Journal of Geological Hazard and Control, 2012, (4): 76-80.

Cited By

Cited by

Periodical cited type(7)

1.	许春萌，段勇. 多旋翼无人机航测在山区水库测量中的应用. 水利科技与经济. 2024(05): 101-105 .
2.	孟庆胤，王浩宇，聂明哲，余小军，陈荣健，傅金阳. 尾矿库坝面安全隐患智能巡检机器人研发及应用. 矿业研究与开发. 2024(07): 230-238 .
3.	胡东升，程小凯，张雅飞，李涛，廉旭刚. 空天地一体化监测联合反演开采沉陷概率积分预计参数研究. 煤炭工程. 2023(01): 81-86 .
4.	刘鹏，王亮，贾旭斌 . 基于无人机影像的高精度滑坡体边界识别研究. 工程勘察. 2023(06): 61-65+72 .
5.	龚弦，马源，何学志，张丽娇，王卫. 无人机遥感技术在矿山地质调查中的研究进展. 中国非金属矿工业导刊. 2023(03): 64-67+71 .
6.	曾文浩，宁迪，刘国伟. 基于遥感技术的矿山地质环境监测实践. 中国资源综合利用. 2023(07): 132-139 .
7.	周小龙，贾强，石鹏卿，何斌，郭富赟，胡文博，李攀龙. 免像控无人机航测技术在舟曲县立节北山滑坡-泥石流灾害应急处置中的应用. 中国地质灾害与防治学报. 2022(01): 107-116 . 本站查看

Other cited types(4)

Get Citation

PDF

XML

Article views (724) PDF downloads (236) Cited by(11)

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

Abstract

References

Related Articles

Cited by

Periodical cited type(7)

Other cited types(4)

Catalog

Links：

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

Abstract

References

Related Articles

Cited by

Periodical cited type(7)

Other cited types(4)

Catalog

Links：

Export File

Citation

Format

Content