journal article·2016-12-31Open access

Groundwater Mixing Process Identification in Deep Mines Based on Hydrogeochemical Property Analysis

Bo Liu, Reza Malekian, Jinpeng Xu

Applied Sciences· Volume 7· Issue 1

Abstract

Karst collapse columns, as a potential water passageway for mine water inrush, are always considered a critical problem for the development of deep mining techniques. This study aims to identify the mixing process of groundwater deriving two different limestone karst-fissure aquifer systems. Based on analysis of mining groundwater hydrogeochemical properties, hydraulic connection between the karst-fissure objective aquifer systems was revealed. In this paper, piper diagram was used to calculate the mixing ratios at different sampling points in the aquifer systems, and PHREEQC Interactive model (Version 2.5, USGS, Reston, VA, USA, 2001) was applied to modify the mixing ratios and model the water–rock interactions during the mixing processes. The analysis results show that the highest mixing ratio is 0.905 in the C12 borehole that is located nearest to the #2 karst collapse column, and the mixing ratio decreases with the increase of the distance from the #2 karst collapse column. It demonstrated that groundwater of the two aquifers mixed through the passage of #2 karst collapse column. As a result, the proposed Piper-PHREEQC based method can provide accurate identification of karst collapse columns’ water conductivity, and can be applied to practical applications.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Karst Systems and Hydrogeology · Mine drainage and remediation techniques · Geoscience and Mining Technology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China

Scientific Research Foundation of Key Laboratory of Coal-Based CO_{2} Capture and Geological Storage, China University of Mining and Technology, Xuzhou 221008, China

Department of Electrical, Electronic & Computer Engineering, University of Pretoria, Pretoria 0002, South Africa

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