Identification of coal mine water-bursting source using multivariate statistical analysis and tracing test

被引:0
|
作者
Meng Chen
Yong Wu
Dongdong Gao
Ming Chang
机构
[1] Chengdu University of Technology,
[2] State Key Laboratory for Geohazard Prevention and Geoenvironment Protection,undefined
来源
关键词
Hydrogeochemical; Major ion; Multivariate statistical analysis; Tracing test; Water-bursting source identification;
D O I
暂无
中图分类号
学科分类号
摘要
This study aims to identify the water source of a water-bursting disaster that occurred at the Longmen Gorge South Coal Mine ventilation adit on May 2011. The chosen approach includes the investigation of hydrogeochemical processes of major ions and a tracing test. The relative abundance of major ions is proposed to be Ca2+ > > K++Na+ > Mg for cations and HCO3− > > SO42− > NO3− > Cl− for anions. A piper diagram of the water samples demonstrates that they are of an HCO3-Ca water type. Principal component analysis implies that the hydrochemistry of water is a result of multiple factors. PC1 represents ion exchange and natural mineral weathering. PC2 and PC3 indicate hydrological processes of agricultural activities and evaporation, respectively. Cluster analysis of water samples is divided into four groups of clusters (group 1–group 4) and suggests a certain homology and similarity between water samples M1/M2 and S3/S5. The tracer breakthrough curves suggest that there is a large possibility that the injection points are connected with the monitoring points, consistent with the CA view. Analysis and research of the hydrogeochemistry of mine groundwater demonstrate that the use of PCA and CA is a feasible method of identifying the mine’s water-bursting source and determining the possibility of a water-bursting event.
引用
收藏
相关论文
共 50 条
  • [41] Missing Value Estimation and Sensor Fault Identification using Multivariate Statistical Analysis
    Lee, Changkyu
    Lee, In-Beum
    KOREAN CHEMICAL ENGINEERING RESEARCH, 2007, 45 (01): : 87 - 92
  • [42] Hydrochemical classification and identification for groundwater system by using integral multivariate statistical models: A case study in Guqiao Mine
    Cao, Xue-Chun
    Qian, Jia-Zhong
    Sun, Xing-Ping
    Meitan Xuebao/Journal of the China Coal Society, 2010, 35 (SUPPL. 1): : 141 - 144
  • [43] Spatiotemporal Analysis of Water Quality Using Multivariate Statistical Techniques and the Water Quality Identification Index for the Qinhuai River Basin, East China
    Ma, Xiaoxue
    Wang, Lachun
    Yang, Hong
    Li, Na
    Gong, Chang
    WATER, 2020, 12 (10)
  • [44] Hydrogeochemical characteristics of coal mine based on box-plot and its application in water inrush source identification
    Zhang, Jun
    Yao, Duoxi
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2024, 46 (01) : 11167 - 11180
  • [45] Identification of Mine Water Source Based on AHP-Entropy and Set Pair Analysis
    Zhao, Xianming
    Xu, Zhimin
    Sun, Yajun
    GEOFLUIDS, 2022, 2022
  • [46] Analysis of water quality using multivariate statistical methods in Duliujian River, China
    Sun, Xuewei
    Liang, Xiaoqian
    Huang, Tousheng
    Zhang, Huayong
    Huang, Hai
    PROCEEDINGS OF THE 2017 3RD INTERNATIONAL FORUM ON ENERGY, ENVIRONMENT SCIENCE AND MATERIALS (IFEESM 2017), 2017, 120 : 1451 - 1456
  • [47] Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush
    Xu Bin
    Zhang Yan
    Jiang Ling
    ROCK AND SOIL MECHANICS, 2012, 33 (10) : 3122 - 3128
  • [48] Analysis of the Spatio-Temporal Patterns of Water Pollution and Source Contribution Using the MODIS Sensor Products and Multivariate Statistical Techniques
    Karami, Jalal
    Alimohammadi, Abbas
    Modabberi, Soroush
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (04) : 1243 - 1255
  • [49] Coupled model based on grey relational analysis and stepwise discriminant analysis for water source identification of mine water inrush
    Xu, Bin
    Zhang, Yan
    Jiang, Ling
    Yantu Lixue/Rock and Soil Mechanics, 2012, 33 (10): : 3122 - 3128
  • [50] Surface Water Quality Assessment and Contamination Source Identification Using Multivariate Statistical Techniques: A Case Study of the Nanxi River in the Taihu Watershed, China
    Zhang, Zhi-Min
    Zhang, Fei
    Du, Jing-Long
    Chen, De-Chao
    WATER, 2022, 14 (05)