| Issue |
E3S Web Conf.
Volume 299, 2021
4th Annual International Conference on Energy Development and Environmental Protection (EDEP 2021)
|
|
|---|---|---|
| Article Number | 02015 | |
| Number of page(s) | 6 | |
| Section | Environmental Science and Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202129902015 | |
| Published online | 05 August 2021 | |
Study on Discrimination Model of Water Inrush Source in Binhuang Mining Area of China
Liupanshui Normal University, Liupanshui, China
* Corresponding author: 251384355@qq.com
Groundwater flow into the mine by coal mining, which threatens the safety of coal mine. Therefore, it is necessary to identify the source of the water flowing into the coal mine. Taking binhuang mining area in Shaanxi Province as the research background, the discrimination models of six water inrush sources had been studied. The composition of 256 water samples was determined and the water quality characteristics of 6 water sources were analyzed. Fisher linear discriminant function model was established by selecting 9 indexes of water quality components. By testing the discriminant effect, it is considered that the probability of K1L aquifer misjudging as Q aquifer and surface water is high, and the misjudgment rate is 30.4%. Combined with the analysis of geological conditions, it is considered that K1L aquifer has a good hydraulic connection with Q aquifer and surface water. Aiming at the problem of misjudgment, the neural network analysis model is used, and the misjudgment rate is reduced to 0%.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.