Citation: | PAN Jun. Study on mine water inrush source discrimination method based on Piper- hierarchical clustering - gray rational analysis[J]. Coal Science and Technology,2024,52(S1):221−227. DOI: 10.12438/cst.2023-0918 |
Identifying the water inrush source accurately is a fundamental work and crucial for safe mining in coal mines. This study focuses on a coal mine in Gansu Province based on a comprehensive method of Piper trilinear diagram, hierarchical clustering and gray rational analysis. The water chemical types of underground drainage, fault fissure water and roof sandstone fissure water in the working face are all SO4-K·Na type and the water chemical types of ground is SO4·HCO3-Ca type. In the Piper trilinear diagram, the underground drainage water sample is far from other water sample points, indicating the underground drainage water may be mixed from multiple sources. Hierarchical clustering analysis shows that the underground drainage water is relatively close to the water chemistry of roof sandstone fissure water and fault fissure water. Finally, the gray rational analysis indicates that underground drainage water is better correlative with roof fissure water and fault fissure water. According to the aforementioned comprehensive method, the underground drainage water is mainly derived from roof sandstone water and fault fissure water, yet has little relations with surface water. It is speculated that it may be the roof water supply caused by strata disturbance during the mining process, as well as the pore water supply through the water conducting fracture zone. Therefore, the research and exploration of the roof aquifer and water conducting fracture zone will be of great importance in the future work of water prevention and control in the coal mine.
[1] |
武强,崔芳鹏,赵苏启,等. 矿井水害类型划分及主要特征分析[J]. 煤炭学报,2013,38(4):561−565.
WU Qiang,CUI Fangpeng,ZHAO Suqi,et al. Type classification and main characteristics of mine water disasters[J]. Journal of China Coal Society,2013,38(4):561−565.
|
[2] |
孙亚军,徐智敏,李鑫,等. 我国煤矿区矿井水污染问题及防控技术体系构建[J]. 煤田地质与勘探,2021,49(5):1−16.
SUN Yajun,XU Zhimin,LI Xin,et al. Mine water drainage pollution in China’s coal mining areas and the construction of prevention and control technical system[J]. Coal Geology & Exploration,2021,49(5):1−16.
|
[3] |
范立民,马万超,常波峰,等. 榆神府矿区地下水水化学特征及形成机理[J]. 煤炭科学技术,2023,51(1):384−395.
FAN Limin,MA Wanchao,CHANG Bofeng,et al. Hydrochemical characteristics and formation mechanism of groundwater in Yushenfu Mining Area[J]. Coal Science and Technology,2023,51(1):384−395.
|
[4] |
董东林,张健,林刚,等. 矿井涌(突)水源混合水识别模型研究[J]. 煤炭工程,2020,52(12):124−127.
DONG Donglin,ZHANG Jian,LIN Gang,Identification model of the source of water-inrush[J]. Coal Engineering,2020,52(12):124−127.
|
[5] |
赵伟,刘启蒙,柴辉婵,等. 基于Fisher判别法和质心距理论的突水水源识别[J]. 科学技术与工程,2020,20(9):3552−3556. doi: 10.3969/j.issn.1671-1815.2020.09.026
ZHAO Wei,LIU Qimeng,CHAI Huichan,et al. Identification of water inrush source based on fisher discriminant method and centroid distance theroy[J]. Science Technology and Engineering,2020,20(9):3552−3556. doi: 10.3969/j.issn.1671-1815.2020.09.026
|
[6] |
朱赛君,姜春露,毕波,等. 基于组合权-改进灰色关联度理论的矿井突水水源识别[J]. 煤炭科学技术,2022,50(4):165−172.
ZHU Saijun,JIANG Chunlu ,BI Bo ,et al. Identification of combination weight-theory of improved grey relational degree[J]. Coal Science and Technology,2022,50(4):165−172.
|
[7] |
孙文洁,杨恒,李祥,等. PCA与ELM模型相结合的矿井突水水源快速识别方法研究[J]. 煤炭工程,2020,52(1):111−115.
SUN Wenjie,YANG Heng,LI Xiang,et al. Research on rapid recognition method of mine water inrush source based on PCA and ELM model[J]. Coal Engineering 2020,52(1):111−115.
|
[8] |
耿建军. 基于系统聚类分析的煤矿突水水源识别技术——以潞安矿区王庄煤矿为例[J]. 中国煤炭地质,2019,31(8):54−59. doi: 10.3969/j.issn.1674-1803.2019.08.12
GENG Jianjun. Coalmine water bursting source identification technology based on hierarchical cluster analysis—a case study of Wangzhuang Coalmine,Lu’an Mining Area[J]. Coal Geology of China,2019,31(8):54−59. doi: 10.3969/j.issn.1674-1803.2019.08.12
|
[9] |
琚棋定,胡友彪,张淑莹. 基于主成分分析与贝叶斯判别法的矿井突水水源识别方法研究[J]. 煤炭工程,2018,50(12):90−94.
JU Qiding,HU Youbiao,ZHANG Shuying,et al. Mine water inrush source identification method based on principalcomponent analysis and Bayesian discriminant[J]. Coal Engineering,2018,50(12):90−94.
|
[10] |
陈绍杰,刘久潭,汪锋,等. 基于PCA-RA的滨海矿井水源识别技术研究[J]. 煤炭科学技术 2021,49(2):217−225.
CHEN Shaojie,LIU Jiutan,WANG Feng,et al. Technological research on water source identiftcation of coastal coalmines based on PCA-RA[J]. Coal Science and Technology,2021,49 (2) :217−225.
|
[11] |
刘旭东,张瑞,万宝. 基于Piper-PCA-MLP神经网络的矿井涌水水源识别方法研究[J]. 中国煤炭地质,2022,34(7):50−55. doi: 10.3969/j.issn.1674-1803.2022.07.10
LIU Xudong,ZHANG Rui,WAN Bao,et al. Study on mine water inrush source discrimination method based on Piper-PCA-MLP neural network[J]. Coal Geology of China,2022,34(7):50−55. doi: 10.3969/j.issn.1674-1803.2022.07.10
|
[12] |
王雅茹,施龙青,邱梅. 基于Piper三线图的矿井水化学特征分析[J]. 山东煤炭科技,2019(4):145−147,150. doi: 10.3969/j.issn.1005-2801.2019.04.057
WANG Yaru,SHI Longqing,QIU Mei. Analysis of chemical characteristics of mine water based on piper trilinear diagram[J]. Shandong Coal Science and Technology,2019(4):145−147,150. doi: 10.3969/j.issn.1005-2801.2019.04.057
|
[13] |
王甜甜,张雁,赵伟,等. 伊敏矿区地下水水化学特征及其形成作用分析[J]. 环境化学,2021,40(5):1480−1488.
WANG Tiantian,ZHANG Yan,ZHAO Wei,et al. Hydrogeochemical characteristics and formation process of groundwater in Yimin miningarea[J]. Environmental Chemistry,2021,40 (5):1480−1489.
|
[14] |
苏俏俏,黄平华,丁风帆,等. 基于Piper-PCA-Fisher模型的矿井突水水源识别[J]. 能源与环保,2021,43(10):122−127.
SU Qiaoqiao,HUANG Pinghua,DING Fengfan,et al. Identification of mine water inrush source based on Piper-PCA-Fisher model[J]. China Energy and Environmental Protection,2021,43(10):122−127.
|
[15] |
姚洁,童敏明,刘涛,等. 基于聚类分析方法的矿井水源识别[J]. 煤矿安全,2013,44(2):29−35.
YAO Jie,TONG Minming,LIU Tao,et al. Mine water source identification based on cluster analysis method[J]. Safety in Coal Mines,2013,44(2):29−35.
|
[16] |
曲兴玥,邱梅,施龙青. 基于因子-聚类分析的矿井水源识别[J]. 煤炭技术,2018,37(12):137−139.
QU Xingyue,QIU Mei,SHI Longqing. Recognition method of mine water sources based on factor analysis and cluster analysis[J]. Coal Technology,2018,37(12):137−139.
|
[17] |
蒋孝峰,杨中元. 基于熵权-灰色关联度理论的矿井突水水源判别模型研究[J]. 地下水,2020,42(5):26−29.
JIANG Xiaofeng,YANG Zhongyuan. Research on discrimination model of water inrush source in mines based on entropy weight method of grey correlation theory[J]. Groundwater,2020,42(5):26−29.
|
[18] |
施龙青,史雅迪,邱梅,等. 基于Piper图、灰色关联度和三维高密度电法的断层水源判别[J]. 中国科技论文,2022,17(1):1−8.
SHI Longqing ,SHI Yadi ,QIU Mei,et al. Identification of fault water source based on Piper diagram,grey correlation degree and 3D high density electric method[J]. China Science Paper,2022,17(1):1−8.
|
[19] |
刘江明,张伟龙,陈殿赋. 基于灰色关联度分析方法的矿井突水水源快速识别研究[J]. 地下水,2013,35(3):26−27.
LIU Jiangming,ZHANG Weilong,CHEN Dianfu. Research on quick -judgment on source of mine's underground water based on gray correlation analysis[J]. Groundwater,2013,35(3):26−27.
|
[20] |
史秋艾. 新疆东沟煤矿充水水源识别及水文地球化学特征研究[J]. 中国煤炭地质,2022,34(11):41−45.
SHI Qiuai. Research on hydrogeochemical characteristics and water filling source identification of Donggou Coalmine,Xinjiang[J]. Coal Geology of China,2022,34(11):41−45.
|
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