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A Geospatial Analysis Model for the Selection of Post-Mining Land Uses in Surface Lignite Mines: Application in the Ptolemais Mines, Greece

Author

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  • Aikaterini Servou

    (Department of Mining Engineering and Closure Planning, Public Power Corporation of Greece, 104 32 Athens, Greece)

  • Nikolaos Paraskevis

    (Department of Mining Engineering and Closure Planning, Public Power Corporation of Greece, 104 32 Athens, Greece)

  • Christos Roumpos

    (Department of Mining Engineering and Closure Planning, Public Power Corporation of Greece, 104 32 Athens, Greece)

  • Francis Pavloudakis

    (Mineral Resources Engineering Department, School of Engineering, University of Western Macedonia, 501 00 Kozani, Greece)

Abstract

Among the procedures included in surface mines’ closure, the determination of post-mining land uses constitutes one of the early but primary steps. This research aims to develop an algorithm for the selection of the most suitable land use spatial distribution in the post-mining area of a surface lignite mine in northern Greece. Considering the already reclaimed areas and the local socioeconomic conditions, six distinct criteria that concern physical local characteristics were selected and, in turn, spatially combined with parameters affecting the mining area. Mining experts attributed weights to the criteria regarding their importance for the examined land uses. The six criteria concerned physical local characteristics (slope, elevation, and distance from villages, rivers, roads, and transmission lines), while the parameters affecting the mining area referred to the type of ground (undisturbed or graded areas), existing infrastructure, and mine closure planning, emphasizing the final landscape of the mining area. The investigated land uses encompassed agricultural, forest, industrial (including buildings, infrastructure, and photovoltaic parks), and recreational parks. Through the application of a fuzzification algorithm within a geographical information system (GIS) environment, four land use suitability maps were generated, which were subsequently overlaid to derive a comprehensive suitability map. The final suitability map was derived from the integration of the mining parameters as spatial information into the algorithm. The findings indicate that, even though the land use suitability analysis could be derived from a mathematical model, the integration of qualitative information related to the mining specifications is necessary to produce more reliable results. The proposed algorithm can be used as a useful tool by decision-makers in the mining industry to plan post-mining reclamation based on suitable criteria.

Suggested Citation

  • Aikaterini Servou & Nikolaos Paraskevis & Christos Roumpos & Francis Pavloudakis, 2023. "A Geospatial Analysis Model for the Selection of Post-Mining Land Uses in Surface Lignite Mines: Application in the Ptolemais Mines, Greece," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14388-:d:1251210
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    References listed on IDEAS

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    1. Hasan Zabihi & Mohsen Alizadeh & Philip Kibet Langat & Mohammadreza Karami & Himan Shahabi & Anuar Ahmad & Mohamad Nor Said & Saro Lee, 2019. "GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    2. Florentino Morales & Walter Timo de Vries, 2021. "Establishment of Land Use Suitability Mapping Criteria Using Analytic Hierarchy Process (AHP) with Practitioners and Beneficiaries," Land, MDPI, vol. 10(3), pages 1-20, February.
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