Application of dynamic weight-set pair analysis model in mine water inrush discrimination

被引：0

作者：

Wang T. ^{[1
,2
,3
]}

Jin D. ^{[2
,3
]}

Liu J. ^{[2
,3
]}

Yang J. ^{[2
,3
]}

Wang X. ^{[4
]}

Zhao W. ^{[4
]}

机构：

[1] China Coal Research Institute, Beijing

[2] Xi'an Research Institute, China Coal Technology & Engineering Group Corp., Xi'an

[3] Shaanxi Key Laboratory of Prevention and Control Technology for Coal Mine Water Hazard, Xi'an

[4] Institute of Esources & Environment, Henan Polytechnic University, Jiaozuo

来源：

Meitan Xuebao/Journal of the China Coal Society | 2019年 / 44卷 / 09期

关键词：

Dynamic weight; Identification of mine water inrush source; Set pair analysis; Water chemical parameters;

D O I：

10.13225/j.cnki.jccs.2018.1419

中图分类号：

学科分类号：

摘要：

Water inrush seriously restricts the mine safe production, and identifica water inrush sources quickly important for the prevention and control of mine water inrush.This research was carried out to build a mine water inrush identification model based on dynamic weight-set pair.Six parameters including K++Na+, Ca2+, Mg2+, Cl-, SO4 2- and HCO3 - were elected as recognition factors and source identification ranges were determined according to 53 groundwater samples extracted from five water sources at Hulusu coalfield.Then, 10 mine water samples with definite source to test dynamic weight-set pair model.At last, this established model was used to predict mine water inrush of 21102 working face of Hulusu coalfield on April 26, 2015.The results indicate that dynamic weight method is reasonable because subjective weights and objective weights are taken into account, simultaneously.On one hand, the influence of human factors is weakened, and on the other hand the actual situation of the identification parameters is considered.The weights of SO4 2-, Cl-, and K++Na+ are 0.38, 0.25 and 0.20 using dynamic weight method much higher than other parameters weights, and the sum of weights account for 83% of the total, indicating their conclusive roles in the mine water inrush identification.The verification results of 9 groups of mine water samples are entirely consistent with the actual type.Only one Quaternary water sample identification results inconsistent with the reality, this is because there are few Quaternary samples in modeling and the samples to be tested exceed the recognition interval.the prediction result of 21102 working face of Hulusu coalfield is consistent with actual mine water inrush result.This is because almost all water inrushes of 21102 working face comes from Zhiluo and Cretaceous aquifer.large number of Zhiluo and Cretaceous groundwater samples are used to build model to establish appropriate identification intervals.Dynamic weight-set pair model should be established on the basis of abundant water quality data to ensure accurate identification ranges and valid water inrush source. © 2019, Editorial Office of Journal of China Coal Society. All right reserved.

引用

页码：2840 / 2850

页数：10

共 27 条

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