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Advances in the Prevention and Control of Surface Mine Dust...
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Advances in the Prevention and Control of Surface Mine Dust Pollution

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Science and Engineering".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4353

Special Issue Editors

Prof. Dr. Wei Zhou

E-Mail Website
Guest Editor
School of Mines, China University of Mining & Technology, Xuzhou 221116, China
Interests: open-pit mining; surface mine dust; loose soil-rock mixture; slope stability
Prof. Dr. Izhar Mithal Jiskani

E-Mail Website
Guest Editor
Balochistan Campus, National University of Sciences & Technology, 44000 Islamabad, Pakistan & School of Mines, China University of Mining & Technology, Xuzhou 221116, China
Interests: green and climate-smart mining; sustainable mining; mine environment; mine evaluation systems

Special Issue Information

Dear Colleagues, 

The increase in demand for minerals has led to a substantial expansion of mining around the world. Surface mining has become the preferred way to develop mineral resources because of its high production capacity, high resource recovery rate, and improved safety. However, the increase in surface mining operations has caused a number of environmental issues, including dust. With the continuous need to promote green and climate-smart mining, the prevention and control of mine dust pollution have become a research priority in recent years. To further research on this subject, there is a need to study a wide range of topics related to surface mine dust, including investigation, monitoring, identification, characterization, and capture of dust from mines, as well as improving existing dust control technologies, exploring and innovating new ones, and eventually implementing them.

This Special Issue of IJERPH invites research on all aspects of dust pollution prevention and control in surface mines.

Prof. Dr. Wei Zhou
Prof. Dr. Izhar Mithal Jiskani
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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

  • surface mine dust
  • mine dust pollution
  • dust reduction
  • dust control in open-pit mines
  • blasting dust
  • dust suppression
  • monitoring technology of dust
  • dust prevention
  • dust dispersion
  • prediction of dust
  • numerical simulation of dust
  • particulate matter
  • environmental impact assessment of dust
  • mine environment
  • occupational health
  • environmental health
  • risk assessment
  • decision-making methods

Published Papers (2 papers)

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Research

16 pages, 8081 KiB  
Article
An Improved Machine Learning Approach for Optimizing Dust Concentration Estimation in Open-Pit Mines
by Boyu Luan, Wei Zhou, Izhar Mithal Jiskani and Zhiming Wang
Int. J. Environ. Res. Public Health 2023, 20(2), 1353; https://doi.org/10.3390/ijerph20021353 - 11 Jan 2023
Cited by 12 | Viewed by 1827
Abstract
Dust is a severe environmental issue in open-pit mines, and accurate estimation of its concentration allows for viable solutions for its control and management. This research proposes a machine learning-based solution for accurately estimating dust concentrations. The proposed approach, tested using real data [...] Read more.
Dust is a severe environmental issue in open-pit mines, and accurate estimation of its concentration allows for viable solutions for its control and management. This research proposes a machine learning-based solution for accurately estimating dust concentrations. The proposed approach, tested using real data from the Haerwusu open-pit coal mine in China, is based upon the integrated random forest-Markov chain (RF-MC) model. The random forest method is used for estimation, while the Markov chain is used for estimation correction. The wind speed, temperature, humidity, and atmospheric pressure are used as inputs, while PM2.5, PM10, and TSP are taken as estimated outputs. A detailed procedure for implementing the RF-MC is presented, and the estimated performance is analyzed. The results show that after correction, the root mean squared error significantly decreased from 7.40 to 2.56 μg/m3 for PM2.5, from 15.73 to 5.28 μg/m3 for PM10, and from 18.99 to 6.27 μg/m3 for TSP, and the Pearson correlation coefficient and the mean absolute error also improved considerably. This work provides an improved machine learning approach for dust concentration estimation in open-pit coal mines, with a greater emphasis on simplicity and rapid model updates, which is more applicable to ensure the prudent use of water resources and overall environmental conservation, both of which are advantageous to green mining. Full article
(This article belongs to the Special Issue Advances in the Prevention and Control of Surface Mine Dust Pollution)
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19 pages, 4690 KiB  
Article
Study on Crust-Shaped Dust Suppressant in Non-Disturbance Area of Open-Pit Coal Mine—A Case Study
by Zhiyuan Shen, Zhongchen Ao, Zhiming Wang and Yuqing Yang
Int. J. Environ. Res. Public Health 2023, 20(2), 934; https://doi.org/10.3390/ijerph20020934 - 4 Jan 2023
Cited by 10 | Viewed by 1502
Abstract
Dust pollution in open-pit coal mines severely restricts the green development of mines. Therefore, dust control has become an important requirement for the sustainable development of the mining industry. With the goal of dust pollution prevention and control in open-pit coal mines, this [...] Read more.
Dust pollution in open-pit coal mines severely restricts the green development of mines. Therefore, dust control has become an important requirement for the sustainable development of the mining industry. With the goal of dust pollution prevention and control in open-pit coal mines, this paper puts forward the concept of a non-disturbance area of an open-pit coal mine. It clarifies the characteristics of dust generation, the coverage area, and the dust particle size distribution characteristics of the non-disturbance area. Taking the dust control at the dump site as an example, the study comprehensively utilizes indoor tests and field tests to develop a dust suppressant for the dump site and determine its dust suppression efficiency and effective service cycle. The results show that the D10, D50, and D90 particle sizes of dust in the non-disturbance area are smaller than those in the disturbance area, and the difference in particle size of D90 is the most obvious. Gelatinized starch and non-ionic polyacrylamide, as the main components of the dust suppressant, can effectively reduce dust pollution in the dump; the optimal concentration is 1.0%, and the dust suppression service cycle is more than one month. The developed dust suppressant does not contain corrosive, toxic, or heavy metal elements. Although the application of a dust suppressant will cause plant growth to lag, it does not affect plant health. The research findings serve as a reference for the zoning treatment of dust in open-pit mines. Full article
(This article belongs to the Special Issue Advances in the Prevention and Control of Surface Mine Dust Pollution)
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