Special Issue "Modeling and Analysis of Mining Area using Remote Sensing and GIS Technology"

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".

Deadline for manuscript submissions: 15 December 2022 | Viewed by 565

Special Issue Editor

Dr. Jan Blachowski
E-Mail Website
Guest Editor
Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Interests: remote sensing of mining and post mining areas; spatial data analysis and modelling; remote sensing for natural and urban environment studies (e.g. pollution, UHI); GIS based spatial statistics
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Special Issue Information

Dear Colleagues,

Mining and post-mining areas are prone to the occurrence of various phenomena that pose a threat to the health of the environment and to human safety. These include: continuous and discontinuous ground deformation, induced seismicity, deterioration of soil and vegetation condition, change of water conditions, pollution, as well as other processes associated with the underground and open-cast mining operations or extraction of hydrocarbons and groundwater. Many aspects of these processes and their effects are still not fully recognized. Closure of mines is followed by the renaturation of post-mining areas. This is a continuous task that requires high resolution and often wide-area monitoring for reliable management of renaturation processes.

Proliferation of multi-resolution radar and spectral sensors and advances in spatial data analytics, especially data-driven methods in recent decades, allow for comprehensive and reliable monitoring, analysis and modelling of ground deformation, vegetation condition, acidic mine drainage (AMD), as well as other processes occurring on mining and post-mining grounds. Time-series analysis facilitates robust modelling, prediction, and effective learning of these anthropogenic processes.

Therefore, in in this Special Issue, the relevant original research articles, reviews, and technical notes are welcome. Topics include, but are not limited to, the following:

- applied earth observations for mining activity monitoring;

- assessment of mining activities to mitigate their environmental impacts;

- monitoring of mining infrastructure to improve efficiency and safety of operations;

- survey of post mining landscape rehabilitation;

- multi-source data fusion for analysis and modelling of mining areas;

- application of GIS, machine learning and deep learning for modelling of spatial relationships in mining areas;

- case studies of innovative methods and applications.

Dr. Jan Blachowski
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 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. Minerals 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 2000 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 area monitoring
  • post-mining rehabilitation
  • remote sensing
  • data fusion
  • geospatial analysis
  • spatial data mining

Published Papers (1 paper)

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Research

Article
Comparative Analysis of Theoretical, Observational, and Modeled Deformation of Ground Subsidence: The Case of the Alhada Pb-Zn Mine
Minerals 2022, 12(8), 977; https://doi.org/10.3390/min12080977 - 31 Jul 2022
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Abstract
In this study, the probability integral method, Synthetic Aperture Radar Interferometry (InSAR), and the Okada dislocation model were collaboratively used to analyze deformation in the Alhada Pb-Zn mine. The predicted deformation values of the subsidence centers in three subsidence areas were 107 mm, [...] Read more.
In this study, the probability integral method, Synthetic Aperture Radar Interferometry (InSAR), and the Okada dislocation model were collaboratively used to analyze deformation in the Alhada Pb-Zn mine. The predicted deformation values of the subsidence centers in three subsidence areas were 107 mm, 120 mm, and 83 mm, respectively, as predicted using the probability integral method. The coherent scatterer InSAR technique was used to analyze the time-series deformation of the mining area, and the same subsidence center locations and similar deformation values were observed. The Okada dislocation model was used to invert the optimal parameters of the underground-mining ore body causing the surface subsidence, indicating that the surface subsidence is mainly caused by the mining of ore bodies in the 888 and 848 middle sections. We further simulated ground deformation using the multi-source Okada model. The results showed that the predicted and modeled deformations are highly correlated with the observed deformation. Through the analysis and comparison of the InSAR results, it was concluded that the three subsidence areas do not threaten the stability of the main buildings in the mining area. Using theoretical, observational, and modeling methods, the development and evolution of the subsidence area in mines can be established, which could provide basic data for subsidence control work and guarantee mine production safety. Full article
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