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Advances in Mine Water Science, Technology, and Policy

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: 27 October 2026 | Viewed by 463

Special Issue Editor


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Guest Editor
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, China
Interests: environmental geochemistry; aqueous geochemistry; trace metal(loid)s; hydrochemistry; water pollution
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Special Issue Information

Dear Colleagues,

Mine wastewater is one of the most challenging types of industrial effluents, characterized by high concentrations of suspended solids, acidity, heavy metals, sulfate, and sometimes residual reagents from mineral processing. Without effective treatment, mine wastewater can contaminate surface water and groundwater, leading to long-term ecological degradation and potential human health risks. The complex geochemical behaviors of mine-derived contaminants, coupled with their spatial and temporal variability, make their monitoring, prediction, and remediation an urgent scientific and practical issue.

This Special Issue welcomes the submission of original research articles and reviews focusing on the occurrence, migration, transformation, ecological risk, and treatment of mine wastewater at the local, regional, and global scales. Studies that deepen our understanding of environmental impacts and propose innovative solutions for the management of mine effluents are particularly encouraged. Relevant topics include but are not limited to the following:

  • The sources, chemical characteristics, and transport processes of mine wastewater;
  • Ecological and human health risks of mine wastewater pollutants;
  • Interactions among multiple contaminants in mine wastewater and their combined effects;
  • Advances in technologies for mine wastewater monitoring, treatment, and reuse;
  • Modeling and assessment methods for predicting mine wastewater impacts;
  • Sustainable management strategies and case studies on mine wastewater remediation.

Prof. Dr. Chengkai Qu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mine wastewater
  • heavy metals
  • sulfate pollution
  • geochemical processes
  • contaminant transport
  • ecological risk assessment
  • human health risk
  • multi-contaminant interactions
  • wastewater treatment technologies
  • numerical modeling
  • prediction and assessment
  • sustainable remediation strategies

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Published Papers (1 paper)

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Research

23 pages, 10505 KB  
Article
Comparison of Improved Fisher Discriminant Analysis and Random Forest for Mine Water Inrush Source Identification: Performance in Single-Mine and Multi-Mine Scenarios
by Hongfu Sun, Shu Wang, Yihao Zhang, Chuyang Zhang, Kongyu Zhao and Fenghua Zhao
Water 2026, 18(6), 711; https://doi.org/10.3390/w18060711 - 18 Mar 2026
Viewed by 258
Abstract
Rapid and accurate identification of water inrush sources is essential for the prevention and control of coal mine water hazards. Fisher discriminant analysis and random forest are widely applied, but their performance comparison and applicability under single-mine and multi-mine scenarios remain to be [...] Read more.
Rapid and accurate identification of water inrush sources is essential for the prevention and control of coal mine water hazards. Fisher discriminant analysis and random forest are widely applied, but their performance comparison and applicability under single-mine and multi-mine scenarios remain to be investigated. This study takes the Tunlan Mine in Shanxi Province, China, as an example and evaluates both models using accuracy, precision, recall, F1-score, and confusion matrix. A joint discrimination scheme is used to explore their generalization ability. In the single-mine scenario, the improved Fisher algorithm achieves an overall accuracy of 93% and the random forest model achieves 87%, indicating that the former has greater advantages when data distribution is relatively linear. In the multi-mine joint discrimination scenario, the random forest model yields accuracies of 77–98%, far exceeding those of the Fisher algorithm and demonstrating clear superiority in handling complex nonlinear data. The results show that model performance depends primarily on data quality and feature distribution rather than solely on sample size. This study provides a scientific basis for selecting water source identification algorithms in different scenarios and has practical value for improving coal mine water hazard prevention and control. Full article
(This article belongs to the Special Issue Advances in Mine Water Science, Technology, and Policy)
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