Multivariate matrix model for source identification of inrush water: A case study from Renlou and Tongting coal mine in northern Anhui province, China

3rd International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Zhang, Jun^1,2 ; Yao, Duoxi^1 ; Su, Yue^1

School of Earth Science and Environmental Engineering, Anhui University of Science and Technology, Huainan, Anhui

232001, China^1

Hohai University, Wentian College, Ma'anshan, Anhui

243031, China^2

关键词: Coal mine safety productions;    Current situation;    Energy demands;    Energy source;    Northern anhui provinces;    Source identification;    Water inrush;    Water samples;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/113/1/012212/pdf
DOI  :  10.1088/1755-1315/113/1/012212

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Under the current situation of energy demand, coal is still one of the major energy sources in China for a certain period of time, so the task of coal mine safety production remains arduous. In order to identify the water source of the mine accurately, this article takes the example from Renlou and Tongting coal mines in the northern Anhui mining area. A total of 7 conventional water chemical indexes were selected, including Ca2+, Mg2+, Na++K+, Cl-, SO42-, HCO3-and TDS, to establish a multivariate matrix model for the source identifying inrush water. The results show that the model is simple and is rarely limited by the quantity of water samples, and the recognition effect is ideal, which can be applied to the control and treatment for water inrush.