IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i15p4658-d606074.html
   My bibliography  Save this article

Land Subsidence Estimation for Aquifer Drainage Induced by Underground Mining

Author

Listed:
  • Artur Guzy

    (Department of Mining Areas Protection, Geoinformatics and Mining Surveying, Faculty of Mining Surveying and Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland)

  • Wojciech T. Witkowski

    (Department of Mining Areas Protection, Geoinformatics and Mining Surveying, Faculty of Mining Surveying and Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland)

Abstract

Land subsidence caused by groundwater withdrawal induced by mining is a relatively unknown phenomenon. This is primarily due to the small scale of such movements compared to the land subsidence caused by deposit extraction. Nonetheless, the environmental impact of drainage-related land subsidence remains underestimated. The research was carried out in the “Bogdanka” coal mine in Poland. First, the historical impact of mining on land subsidence and groundwater head changes was investigated. The outcomes of these studies were used to construct the influence method model. With field data, our model was successfully calibrated and validated. Finally, it was used for land subsidence estimation for 2030. As per the findings, the field of mining exploitation has the greatest land subsidence. In 2014, the maximum value of the phenomenon was 0.313 cm. However, this value will reach 0.364 m by 2030. The spatial extent of land subsidence caused by mining-induced drainage extends up to 20 km beyond the mining area’s boundaries. The presented model provided land subsidence patterns without the need for a complex numerical subsidence model. As a result, the method presented can be effectively used for land subsidence regulation plans considering the impact of mining on the aquifer system.

Suggested Citation

  • Artur Guzy & Wojciech T. Witkowski, 2021. "Land Subsidence Estimation for Aquifer Drainage Induced by Underground Mining," Energies, MDPI, vol. 14(15), pages 1-36, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4658-:d:606074
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/15/4658/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/15/4658/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leszek Chomacki & Janusz Rusek & Leszek Słowik, 2022. "Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines," Energies, MDPI, vol. 15(11), pages 1-23, May.
    2. Piotr Strzałkowski, 2022. "Predicting Mining Areas Deformations under the Condition of High Strength and Depth of Cover," Energies, MDPI, vol. 15(13), pages 1-17, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4658-:d:606074. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.