矿井突水源的常用判别方法及评价

Chao Li, D. Yao
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It is concluded that each method has its limitations, selection and determination methods should be based on the actual situation of hydrogeology and comprehensive utilization of various methods, which can greatly improve the accuracy of water inrush source identification and overcome the shortcomings of single method. It can provide some reference and guidance for related research work. Introduction In coal mining and production, mine water inrush is one of the most important mine safety disasters, which is parallel with fire, gas and other accidents. It has been a serious threat to the safety of coal mining for a long time, how to find out the cause of water inrush timely and accurately and determine the source of water inrush is the primary problem to solve and further prevent water inrush accidents, and also the precondition to do a good job of follow-up treatment work[1]. To distinguish the source of mine water inrush, it is necessary to comprehensively consider the hydrogeology and geological structure conditions of the mining area, and make full analysis by using the basic data of hydrochemistry, water temperature, water level and so on[2].Among them, hydrochemical data is the most objective reflection of groundwater characteristics. Water quality data can be used to identify water sources accurately, quickly and economically[3].In recent years, the discriminant analysis method of mine water inrush source has developed rapidly. From the initial environmental isotope analysis method and conventional hydrochemical characteristics discriminant method, multivariate statistical analysis method (distance discriminant analysis method, etc) and non-linear identification method (BP neural network method, etc) have been gradually created. These methods complement and verify each other, which is the main method of water source discrimination at present[4], and also makes the theory of water source discrimination step into a mature stage gradually. This paper will mainly elaborate and evaluate the methods listed above. Discrimination Method of Conventional Hydrochemical Characteristics Detailed Description of the Method The hydrochemical characteristic discriminant method is a method to determine the source of water inrush by studying the hydrochemical characteristics (main ion characteristics) of each aquifer. This method focuses on three main cations Ca2+, Na+, Mg2+and three main anions HCO3-, SO42-, Cletc and draws Piper three-line map according to the milligram equivalent percentage of six ions (as shown in Fig.1). For example, the water quality types of aquifers are classified according to Shug kalev classification, and then the Kurllov’s formula of water inrush point and aquifer water samples International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). 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It has been a serious threat to the safety of coal mining for a long time, how to find out the cause of water inrush timely and accurately and determine the source of water inrush is the primary problem to solve and further prevent water inrush accidents, and also the precondition to do a good job of follow-up treatment work[1]. To distinguish the source of mine water inrush, it is necessary to comprehensively consider the hydrogeology and geological structure conditions of the mining area, and make full analysis by using the basic data of hydrochemistry, water temperature, water level and so on[2].Among them, hydrochemical data is the most objective reflection of groundwater characteristics. Water quality data can be used to identify water sources accurately, quickly and economically[3].In recent years, the discriminant analysis method of mine water inrush source has developed rapidly. 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引用次数: 0

摘要

矿井突水水源的判别一直是学术界关注的焦点。为了做好矿井突水防治工作,有必要找出矿井突水的来源。结合近年来的相关研究成果,重点讨论了常规水化学特征判别法、同位素分析法、距离判别分析法、BP神经网络法等几种常用的矿山突水来源识别方法,指出了它们各自的优缺点。得出结论,每种方法都有其局限性,选择和确定方法应根据水文地质的实际情况,综合利用各种方法,这样可以大大提高突水源识别的准确性,克服单一方法的缺点。可以为相关研究工作提供一定的参考和指导。煤矿突水是煤矿开采生产中与火灾、瓦斯等事故齐头并进的重要安全灾害之一。长期以来,突水一直是煤矿开采安全的严重威胁,如何及时准确地找出突水原因,确定突水来源,是解决和进一步预防突水事故的首要问题,也是做好后续治理工作的前提条件[1]。判别矿井突水源,需要综合考虑矿区水文地质和地质构造条件,利用水化学、水温、水位等基础资料进行充分分析[2]。其中,水化学数据是对地下水特征最客观的反映。水质数据可以准确、快速、经济地识别水源[3]。近年来,矿井突水水源判别分析方法得到了迅速发展。从最初的环境同位素分析方法和常规的水化学特征判别方法,逐步创建了多元统计分析方法(距离判别分析方法等)和非线性识别方法(BP神经网络方法等)。这些方法相辅相成,相互印证,是目前水源判别的主要方法[4],也使水源判别理论逐步步入成熟阶段。本文将主要阐述和评价上述方法。常规水化学特征判别方法方法详细说明水化学特征判别法是通过研究各含水层的水化学特征(主离子特征)来确定突水来源的一种方法。该方法以Ca2+、Na+、Mg2+三个主要阳离子和HCO3-、SO42-、Cletc三个主要阴离子为重点,根据六种离子的毫克当量百分比绘制Piper三线图(如图1所示)。例如,根据Shug kalev分类对含水层水质类型进行分类,然后根据突水点和含水层水样的Kurllov公式进行分类。国际建模、分析、模拟技术与应用会议(MASTA 2019)版权所有©2019,作者。亚特兰蒂斯出版社出版。这是一篇基于CC BY-NC许可(http://creativecommons.org/licenses/by-nc/4.0/)的开放获取文章。智能系统研究进展,第168卷
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Common Discrimination Method and Evaluation of Water Inrush Source in Mine
Discrimination of mine water inrush source has always been the focus of academic circles. In order to do a good job in mine water inrush prevention and control, it is necessary to find out the source of mine water inrush. Combining with the relevant research results in recent years, this paper focuses on discussing several commonly used methods for identifying mine water inrush sources, such as conventional hydrochemical characteristics discriminant method, isotope analysis method, distance discriminant analysis method, BP neural network method, etc, pointing out their respective advantages and disadvantages. It is concluded that each method has its limitations, selection and determination methods should be based on the actual situation of hydrogeology and comprehensive utilization of various methods, which can greatly improve the accuracy of water inrush source identification and overcome the shortcomings of single method. It can provide some reference and guidance for related research work. Introduction In coal mining and production, mine water inrush is one of the most important mine safety disasters, which is parallel with fire, gas and other accidents. It has been a serious threat to the safety of coal mining for a long time, how to find out the cause of water inrush timely and accurately and determine the source of water inrush is the primary problem to solve and further prevent water inrush accidents, and also the precondition to do a good job of follow-up treatment work[1]. To distinguish the source of mine water inrush, it is necessary to comprehensively consider the hydrogeology and geological structure conditions of the mining area, and make full analysis by using the basic data of hydrochemistry, water temperature, water level and so on[2].Among them, hydrochemical data is the most objective reflection of groundwater characteristics. Water quality data can be used to identify water sources accurately, quickly and economically[3].In recent years, the discriminant analysis method of mine water inrush source has developed rapidly. From the initial environmental isotope analysis method and conventional hydrochemical characteristics discriminant method, multivariate statistical analysis method (distance discriminant analysis method, etc) and non-linear identification method (BP neural network method, etc) have been gradually created. These methods complement and verify each other, which is the main method of water source discrimination at present[4], and also makes the theory of water source discrimination step into a mature stage gradually. This paper will mainly elaborate and evaluate the methods listed above. Discrimination Method of Conventional Hydrochemical Characteristics Detailed Description of the Method The hydrochemical characteristic discriminant method is a method to determine the source of water inrush by studying the hydrochemical characteristics (main ion characteristics) of each aquifer. This method focuses on three main cations Ca2+, Na+, Mg2+and three main anions HCO3-, SO42-, Cletc and draws Piper three-line map according to the milligram equivalent percentage of six ions (as shown in Fig.1). For example, the water quality types of aquifers are classified according to Shug kalev classification, and then the Kurllov’s formula of water inrush point and aquifer water samples International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 168
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