Research On Water Chemical Characteristics In The Middle Of Panxie Mining Area And Development Of Database System

In the middle of Panxie mining area,there are three pairs of mines:Pansan Mine,Dingji Mine and Guqiao Mine.Their hydrogeological types are medium to complex,which are greatly affected by aquifers under loose beds and limestone water.Therefore,it is of great significance to accurately determine the source of water inrush in coal mines for safety production in coal mines.At present,it is a common and effective method to use hydrochemistry to judge the water inrush source.Therefore,establishing a scientific and perfect mine water chemical index system,developing a rapid water source identification system,and then timely warning and judgment can greatly reduce the occurrence of mine water inrush accidents.The paper analyzes the hydrochemical characteristics of the main aquifers by using the variation coefficient method,Piper diagram and Durov diagram for 123 different aquifer water samples from three pairs of mines in Dingji Mine,Guqiao Mine and Pansan Mine;The source and influencing factors of ions in each aquifer are analyzed by using pedigree clustering and ion proportion relationship;The PCA-BP neural network model is used to establish the water inrush source identification system;On this basis,using Microsoft SQL Server database engine and C#and Matlab mixed language,the geochemical index database system of main aquifers in the study area is developed,which facilitates the management of hydrochemical data,data statistics and water source identification.The main research results of the paper are as follows:（1）The main water quality type of the upper aquifer of the Cenozoic in the study area is HCO₃-Na+K,and the water quality type of the middle and lower aquifers is Cl-Na+K;The water quality types of coal measure sandstone aquifer include Cl-Na+K,HCO₃·Cl-Na+K and HCO₃·SO₄-Na+K;The water quality type of limestone karst fissure aquifer is mainly Cl-Na+K.It shows that the upper aquifer dynamic condition of Cenozoic in the study area is good,the middle and lower aquifers are relatively closed,and the hydrodynamic force is poor;There is a certain hydraulic connection between coal measure water,underground water and limestone water.（2）According to the hierarchical cluster analysis,the ions in the water samples of different aquifers of the mine mainly come from sulfate and carbonate minerals and chloride minerals;The Cenozoic water is closely related to the surface water,with good hydrodynamic conditions and strong mobility.Limestone water Na⁺+K⁺/Cl^-≈1 has little contribution from silicate minerals.The existence of Ca²⁺and Mg²⁺may be due to the dissolution of dolomite and calcite,as well as the weathering of silicate.（3）Isotopic analysis shows that the main recharge source of groundwater in the study area is atmospheric precipitation,and leaching infiltration water is the basic origin of groundwater.Isotopic research also shows that there is a certain hydraulic connection between coal measure water and limestone water,and there are middle deep ancient water and shallow water bodies in the Taiyuan limestone water and Ordovician limestone water.（4）Based on the PCA-BP neural network method,the water source identification system in the central area of Panxie mining area was established,and 20 randomly selected water sources were identified.The total number of misjudged samples was 1,and the accuracy rate of water source identification was 95%.The overall effect of water source identification for three coal mines was good.The results show that the recognition system has a high recognition rate,and can accurately and quickly identify the source of mine water inrush.The database system of geochemical indicators of main aquifers in Huainan mining area is developed by using SQL Server.In addition to realizing basic data management and query editing functions,the database can also realize the drawing of Piper three line map of water samples,the analysis of ions and ion proportion coefficients of water samples,and the identification of water sources.It provides important support for centralized management of data and simplification of water chemistry calculation and analysis.Figure[57]Table[17]Reference[83]...