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Quantitative Assessment of Drought Severity in Mining-Influenced Regions: A Case Study of Lignite and Copper Extraction Areas
Corresponding Author(s) : Monika Biryło
Geomatics and Environmental Engineering,
Vol. 20 No. 4 (2026): Geomatics and Environmental Engineering
Abstract
Droughts occurring in open-pit mining areas are becoming increasingly significant, primarily due to decreased water availability. This poses a danger because it threatens the stable development of society and agricultural production and contributes to increased dust emissions that may interfere with mining operations. Climate change further intensifies these threats. Therefore, research into water availability, continuous monitoring, and environmental health indicators is vital, as the water cycle greatly impacts these factors. The paper aims to investigate drought severity in two large open-pit lignite mines in Turów and Bełchatów, and Legnica–Głogów Copper District (LGOM). The Combined Climatological Drought Index (CCDI) was used, alongside the water budget (WB), to characterise drought at the study sites. High consistency between the indices was observed throughout most of the studied period until 2018. Notably, significant reductions in water availability were recorded from 2018 onwards in the areas of the three studied mines.
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- Hipel K.W., McLeod A.I.: Time Series Modelling of Water Resources and Environmental Systems. Developments in Water Science, vol. 45, Elsevier, 1994.
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- Park J., Kwon E., Chung E., Kim H., Battogtokh B., Woo N.C.: Environmental sustainability of open-pit coal mining practices at Baganuur, Mongolia. Sustainability, vol. 12(1), 2020, 248. https://doi.org/10.3390/su12010248.
References
Lian H., Yi H., Yang Y., Wu B., Wang R.: Impact of coal mining on the moisture movement in a vadose zone in open-pit mine areas. Sustainability, vol. 13(8), 2021, 4125. https://doi.org/10.3390/su13084125.
Haque E., Reza S., Ahmed R.: Assessing the vulnerability of groundwater due to open pit coal mining using DRASTIC model: A case study of Phulbari coal mine, Bangladesh. Geosciences Journal, vol. 22(2), 2017, pp. 289–301. https://doi.org/10.1007/s12303-017-0054-0.
Przybyłek J.: Aktualne problemy odwadniania złóż węgla brunatnego w Wielkopolsce. Górnictwo Odkrywkowe, r. 59(2), 2018, pp. 5–14.
Cui H., Duan L., Pan H., Zhang W., Liu T.: How does large-scale underground mining affect the water cycle? Comprehensive analysis based on isotopes, water levels and hydrogeological conditions. Journal of Environmental Management, vol. 393, 2025, 127188. https://doi.org/10.1016/j.jenvman.2025.127188.
Kraśnicki S.: Report on the cross border effects of the continuation of lignite mining in Turów (Poland) on water in Germany. September, 2022, https://www.bund-sachsen.de/fileadmin/sachsen/Bilder/Mensch___Umwelt/Braunkohle/2023-Report_Turow_groundwater.pdf [access: October 15, 2025].
Bočková M.: Twice about the Turów mine: Ministry responds to hydrogeological model, Supreme Administrative Court rejects miners’ complaint. Frank Bold, December 16, 2025. https://en.frankbold.org/news/twice-about-the-turow-mine-ministry-responds-to-hydrogeological-model-supreme-administrative-court-rejects-miners-complaint [access: October 15, 2025].
Wasilewski A., Rzepecka Z., Oszczak S.: Studies of displacements of GPS stations on Polish copper basin area, [in:] 10th FIG International Symposium on Deformation Measurements: Orange, California, USA, 19–22 March 2001, International Federation of Surveyors (FIG), 2001, pp. 223–231.
Chrzanowska A., Chrzanowski A., Oszczak S., Wasilewski A., Rzepecka Z., Popiołek E., Ostrowski J.: Ocena przemieszczeń poziomych wyznaczonych technologią GPS i ich optymalne zastosowanie do analizy ruchów górotworu przy pomocy metody elementów skończonych (MES) dla terenów górniczych Rudna I i Rudna II. Instytut Geodezji, Uniwersytet Warmińsko-Mazurski w Olsztynie, Olsztyn 1999.
Protection of buildings in mining areas. KGHM Polska Miedź. https://kghm.com/en/sustainable-development/environment/protection-buildings-mining-areas [access: November 24, 2025].
Kopalnia Węgla Brunatnego „Turów”. Wikipedia: Wolna Encyklopedia. https://pl.wikipedia.org/wiki/Kopalnia_Węgla_Brunatnego_„Turów” [access: October 20, 2025].
Czy węgiel brunatny to optymalny surowiec energetyczny dla Polski? Wbrew pozorom ma on swoje zalety. Portal Statystyczny, May 26, 2021. https://portalstatystyczny.pl/czy-wegiel-brunatny-to-optymalny-surowiec-energetycznym-dla-polski-wbrew-pozorom-ma-on-swoje-zalety/ [access: October 20, 2025].
Kopalnia odkrywkowa węgla brunatnego Bełchatów. Alol, July 7, 2021. https:// www.alol.pl/mapy/kopalnia-odkrywkowa-wegla-brunatnego-belchatow.html [access: October 20, 2025].
O oddziale. PGE Górnictwo i Energetyka Konwencjonalna S.A. – Oddział Kopalnia Węgla Brunatnego Bełchatów. https://kwbbelchatow.pgegiek.pl/O-oddziale [access: October 20, 2025].
Bełchatowski obszar węgla brunatnego. Co dalej z kopalnią Bełchatów? Portal Statystyczny, October 20, 2022. https://portalstatystyczny.pl/belchatowski-obszarwegla-brunatnego-co-dalej-z-kopalnia-belchatow/ [access: October 20, 2025].
Legnicko-Głogowski Okręg Miedziowy. Wikipedia: Wolna Encyklopedia. https://pl.wikipedia.org/wiki/Legnicko-Głogowski_Okręg_Miedziowy [access: October 20, 2025].
Oszczepalski S., Speczik S., Małecka K., Chmielewski A.: Prospective copper resources in Poland. Gospodarka Surowcami Mineralnymi – Mineral Resources Management, vol. 32(2), 2016, pp. 5–30. https://doi.org/10.1515/gospo-2016-0019.
Bartlett S.C., Burgess H., Damjanović B., Gowans R.M., Lattanzi C.R.: Technical Report on the copper-silver production operations of KGHM Polska Miedź S.A. in the Legnica-Glogów Copper Belt area of southwestern Poland. Micon International Limited, Norwich 2013. https://kghm.com/sites/default/files/archive-attachments/raport_micon_en.pdf [access: October 15, 2025].
Rodell M., Houser P., Jambor U.E.A., Gottschalck J., Mitchell K., Meng J., Arsenault K., Brian C., Radakovich J., Bosilovich M.G., Entin J.K., Walker J.P., Lohmann D., Toll D.L.: The global land data assimilation system. Bulletin of the American Meteorological Society, vol. 85(3), 2004, pp. 381–394. https://doi.org/10.1175/BAMS-85-3-381.
Rzepecka Z., Birylo M., Jarsjö J., Cao F., Pietroń J.: Groundwater storage variations across climate zones from southern Poland to Arctic Sweden: Comparing GRACE-GLDAS models with well data. Remote Sensing, vol. 16(12), 2024, 2104. https://doi.org/10.3390/rs16122104.
NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) [dataset]. https://hydro1.gesdisc.eosdis.nasa.gov/data/GLDAS/ [access: October 15, 2025].
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Rzepecka Z., Birylo M., Kuczynska-Siehien J., Nastula J., Pajak K.: Analysis of groundwater level variations and water balance in the area of the Sudety mountains. Acta Geodynamica et Geomaterialia, vol. 14(3), 2017, pp. 313–321. https://doi.org/10.13168/AGG.2017.0014.
Rahgozar M., Shah N., Ross M.: Estimation of evapotranspiration and water budget components using concurrent soil moisture and water table monitoring. ISRN Soil Science, vol. 2012, 726806. https://doi.org/10.5402/2012/726806.
Lu Z., Li K., Zhang J., Le G., Yu Z., Li C.: Mechanisms influencing changes in water cycle processes in the changing environment of the Songnen Plain, China. Science of The Total Environment, vol. 905, 2023, 166916. https://doi.org/10.1016/j.scitotenv.2023.166916.
Birylo M., Rzepecka Z.: Remote sensing-based hydro-extremes assessment techniques for small area case study (the case study of Poland). Remote Sensing, vol. 15(21), 2023, 5226. https://doi.org/10.3390/rs15215226.
Sinha D., Sayed T.H., Reager J.: Utilizing combined deviation of precipitation and GRACE based terrestrial water storage as a metric for drought characterization: A case study over major Indian river basin. Journal of Hydrology, vol. 572, 2019, pp. 40–50. https://doi.org/10.1016/j.jhydrol.2019.02.052.
Nigatu Z.M., Fan D., You W., Melesse A.M.: Hydroclimatic extremes evaluation using GRACE/GRACE-FO and multidecadal climatic variables over the Nile River Basin. Remote Sensing, vol. 13(4), 2021, 651. https://doi.org/10.3390/rs13040651.
Rzepecka Z., Birylo M., Nastula J.: Assessment of resultant groundwater calculated on the basis of GRACE and GLDAS models, [in:] 16th International Multidisciplinary Scientific GeoConference (SGEM 2016): Albena, Bulgaria, 30 June–6 July 2016. Book 2, Volume 2, Part A: Geodesy and Mine Surveying, Curran Associates, Red Hook 2016, pp. 125–132.
Birylo M.: Non-stationarity of hydroclimatic memory – is hydrological memory changing under climate warming? Water, vol. 18(7), 2026, 869. https://doi.org/10.3390/w18070869.
Birylo M., Blaszczak-Bak W., Suchocki C.: Application of GLDAS models and ALS point clouds in assessing the impact of modified evapotranspiration on the water budget. Water Research, vol. 283, 2025, 123746. https://doi.org/10.1016/j.watres.2025.123746.
Meals D.W., Spooner J., Dressing J.A., Harcum J.B.: Statistical analysis for monotonic trends. Tech Notes, no. 6, Tetra Tech, Fairfax, VA, 2011. https://www.epa.gov/polluted-runoff-nonpoint-source-pollution/nonpoint-source-monitoring-technical-notes [access: June 23, 2025]
Hipel K.W., McLeod A.I.: Time Series Modelling of Water Resources and Environmental Systems. Developments in Water Science, vol. 45, Elsevier, 1994.
Wierzbowska J., Sienkiewicz S., Krzebietka S., Bowszys T.: Heavy metals in water percolating through soil fertilized with biodegradable waste materials. Water, Air, & Soil Pollution, vol. 227(12), 2016, 456. https://doi.org/10.1007/s11270-016-3147-x.
Wierzbowska J., Kovacik P., Sienkiewicz S., Krzebietka S.: Determination of heavy metals and their availability to plants in soil fertilized with different waste most stable conditionsances. Environmental Monitoring and Assessment, vol. 190(10), 2018, 567. https://doi.org/10.1007/s10661-018-6941-7.
Park J., Kwon E., Chung E., Kim H., Battogtokh B., Woo N.C.: Environmental sustainability of open-pit coal mining practices at Baganuur, Mongolia. Sustainability, vol. 12(1), 2020, 248. https://doi.org/10.3390/su12010248.