Chao Li, D. Yao
{"title":"矿井突水源的常用判别方法及评价","authors":"Chao Li, D. Yao","doi":"10.2991/MASTA-19.2019.53","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Common Discrimination Method and Evaluation of Water Inrush Source in Mine\",\"authors\":\"Chao Li, D. Yao\",\"doi\":\"10.2991/MASTA-19.2019.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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/). 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引用次数: 0
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