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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 2, pp. 271-285

Applying remote sensing data to assess water quality in a mining area

A.D. Demenev 1 , O.A. Berezina 1 , N.G. Maksimovich 1 , A.A. Mizev 1 
1 Perm State University, Perm, Russia
Accepted: 26.03.2024
DOI: 10.21046/2070-7401-2024-21-2-271-285
Mining has a considerable technogenic impact on water quality, therefore it is important to monitor changes of hydrochemical parameters of water and to predict them. In industrial areas, it is advisable to carry out objective environmental assessment on the basis of traditional methods of environmental control and Earth remote sensing data. Remote sensing data provide the possibility to observe vast territories, including hard-to-reach sites. As part of research, an assessment of water quality of rivers impacted by AMD (Acid Mine Drainage) was done on the basis of field observations and Earth remote sensing data. To detect river pollution by acidic mine water, the spectral Acid Mine Water Index (AMWI) and the Total Suspended Matter (TSM) indicator were calculated. Remote sensing data were compared with field research results. It has been revealed that the influx of acidic mine drainage introduces into rivers substances that spread over long distances downstream. Some of these substances are deposited in bottom sediments, accumulate and form a secondary source of pollution. The other part migrates with the water flow in suspended form to the river mouths. It has been found that AMWI and TSM could be used simultaneously to monitor the overall distribution of suspended solids that are pollutant transport agents for large water objects such as water reservoirs. The concept of using data from several sources (especially including network of measuring devices) makes it possible to assess the ecological state of water objects at a new spatial and temporal resolution levels.
Keywords: environmental monitoring, Sentinel-2, Kizel coal basin, TSM, AMWI
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References:

  1. Berezina O. A., Shikhov A. N., Abdullin R. K., The use of multi-temporal satellite images for environmental assessment in coal mining areas (by example of closed Kizel coal basin), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 2, pp. 144–158 (in Russian), DOI: 10.21046/2070-7401-2018-15-2-144-158.
  2. Ermakov D. M., Demenev A. D., Meshcheriakova O. Yu., Berezina O. A., Features of the development of a regional water index for monitoring the impact of acid mine water discharges on river systems, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 6, No. 18, pp. 222–237 (in Russian), DOI: 10.21046/2070-7401-2021-18-6-222-237.
  3. Ilyushina P. G., Shikhov A. N., Makarieva O. M., Satellite-based mapping of the negative impact of gold mining enterprises on the natural environment of the cryolithozone (on the example of the Magadan region), Earth Observation and Remote Sensing, 2023, No. 1, pp. 41–52 (in Russian), DOI: 10.31857/S0205961423010050.
  4. Maksimovich N. G., Piankov S. V., Kizelovskii ugol’nyi bassein: ekologicheskie problemy i puti resheniya (The Kizel coal basin: environmental problems and solutions), Perm: Perm University Publ., 2018, 288 p. (in Russian).
  5. Maksimovich N. G., Khmurchik V. T., Berezina O. A., Demenev A. D., Migration of microelements in river system in impact zone of acid mine water discharge in the Kizel Coal Basin, Mining Informational and Analytical Bull., 2024, No. 2, pp. 23–34 (in Russian), DOI: 10.25018/0236_1493_2024_2_0_23.
  6. Acharya B. S., Kharel G., Acid mine drainage from coal mining in the United States An overview, J. Hydrology, 2020, Vol. 588, pp. 1–14, DOI: 10.1016/j.jhydrol.2020.125061. 2.
  7. Alexander S. S., Dein J., Gold D. R., The use of ERTs-1 MSS data for mapping strip mines and acid mine drainage in Pennsylvania, Proc. Symp. Significant Results Obtained from the Earth Resources Technology Satellite 1, 1973, pp. 569–575.
  8. Anderson J. E., Robbins E. I., Spectral reflectance and detection of iron-oxide precipitates associated with acidic mine drainage, Photogrammetric Engineering and Remote Sensing, 1998, Vol. 64, No. 12, pp. 1201–1208.
  9. Balintova M., Petrilakova A., Singovszka E., Study of metals distribution between water and sediment in the Smolnik Creek (Slovakia) contaminated by acid mine drainage, Chemical Engineering Trans., 2012, Vol. 28, pp. 73–78, DOI: 10.3303/CET1228013.
  10. Bessho M., Markovic R., Trujic T. A. et al., Removal of Dissolved Metals from Acid Wastewater Using Organic Polymer Hydrogels, Proc. IMWA, 2017, pp. 1080–1086.
  11. Chapin T. P., High-frequency, long-duration water sampling in acid mine drainage studies: A short review of current methods and recent advances in automated water samplers, Applied Geochemistry, 2015, Vol. 59, pp. 118–124, DOI: 10.1016/j.apgeochem.2015.04.004.
  12. Chen M., Li F., Tao M. et al., Distribution and ecological risks of heavy metals in river sediments and overlying water in typical mining areas of China, Marine Pollution Bull., 2019, Vol. 146, pp. 893–899, DOI: 10.1016/j.marpolbul.2019.07.029.
  13. Demchak J., Skosen J., McDonald L., Distribution and behavior of heavy metals in a river polluted by acid mine drainage in the Dabaoshan mine area, China, J. Environmental Quality, 2004, Vol. 33(2), pp. 656–668.
  14. Furrer G., Phillips B. L., Ulrich K. U., Pöthig R., Casey W. H., The origin of aluminum flocs in polluted stream, Science, 2002, Vol. 297(5590), pp. 2245–2247.
  15. Fytas K., Hadjigeorgiou J., An assessment of acid rock drainage continuous monitoring technology, Environmental Geology, 1995, Vol. 25(1), pp. 36–42, DOI: 10.1007/BF01061828.
  16. Gammons C. H., Nimick D. A., Parker S. R., Diel cycling of trace elements in streams draining mineralized areas — a review, Applied Geochemistry, 2015, No. 57, pp. 34–44, DOI: 10.1016/j.apgeochem.2014.05.008.
  17. Gonzalez-Toril E., Llobert-Brossa E., Casamayor E. O. et al., Microbial ecology of an extreme acidic environment, the Tinto River, Applied Environmental Microbiology, 2003, Vol. 69(8), pp. 4853–4865, DOI: 10.1128/AEM.69.8.4853-4865.2003.
  18. Gray N. F., Acid mine drainage composition and the implications for its impact on lotic systems, Water Research, 1998, Vol. 32(7), pp. 2122−2134.
  19. Hanelli D., Barth A., Volkmer G., Köhler M., Modelling of Acid Mine Drainage in Open Pit Lakes Using Sentinel-2 Time-Series: A Case Study from Lusatia, Germany, Minerals, 2023, No. 13, pp. 1–20, DOI: 10.3390/min13020271.
  20. Isgro M. A., Basallote M. D., Caballero I., Barbero L., Comparison of UAS and Sentinel-2 Multispectral Imagery for Water Quality Monitoring: A Case Study for Acid Mine Drainage Affected Areas (SW Spain), Remote Sensing, 2022, Vol. 14, pp. 1–15, DOI: 10.3390/rs14164053.
  21. Kopačková V., Using multiple spectral feature analysis for quantitative pH mapping in a mining environment, Intern. J. Applied Earth Observation and Geoinformation, 2014, Vol. 28, pp. 28–42, DOI: 10.1016/j.jag.2013.10.008.
  22. Madrid Y., Zayas Z. P., Water sampling: traditional methods and new approaches in water sampling strategy, Trends in Analytical Chemistry (TrAC), 2007, Vol. 26, pp. 293–299, DOI: 10.1016/j.trac.2007.01.002.
  23. Munk L., Faure G., Pride D. E., Bigham J. M., Sorption of trace metals to an aluminum precipitate in a stream receiving acid rock-drainage; Snake River, Summit County, Colorado, Applied Geochemistry, 2002, Vol. 17, No. 4, pp. 421–430, DOI: 10.1016/S0883-2927(01)00098-1.
  24. Nazirova K., Alferyeva Y., Lavrova O. et al., Comparison of in situ and remote-sensing methods to determine turbidity and concentration of suspended matter in the estuary zone of the Mzymta River, Black Sea, Remote Sensing, 2021, Vol. 13(1), pp. 1–29, DOI: 10.3390/rs13010143.
  25. Nieto J. M., Sarmiento A. M., Canovas C. R. et al., Acid mine drainage in the Iberian Pyrite Belt: 1. Hydrochemical characteristics and pollutant load of the Tinto and Odiel rivers, Environmental Science and Pollution Research, 2013. Vol. 20(11), pp. 7509–7519, DOI: 10.1007/s11356-013-1634-9.
  26. Nordstrom D. K., Alpers C. N., Ptacek C. J., Blowes D. W., Negative pH and Extremely Acidic Mine Waters from Iron Mountain, California, Environmental Science and Technology, 2000, Vol. 34, pp. 254–258, DOI: 10.1021/es990646v.
  27. Olías M., Cánovas C. R., Macías F., The evolution of pollutant concentrations in a river severely affected by acid mine drainage: Río Tinto (SW Spain), Minerals, 2020, Vol. 10(7), No. 598, DOI: 10.3390/min10070598.
  28. Pyankov S. V., Maximovich N. G., Khayrulina E. A. et al., Monitoring Acid Mine Drainage’s Effects on Surface Water in the Kizel Coal Basin with Sentinel-2 Satellite Images, Mine Water and Environment, 2021, pp. 1616–1068, DOI: 10.1007/s10230-021-00761-7.
  29. Raval S., Investigation of mine environmental monitoring with satellite based sensors: Doctoral Thesis, Sydney, 2011, 213 p.
  30. Seif A., Hosseinjanizadeh M., Ranjbar H., Honarmand M., Identification of acid mine drainage potential using Sentinel 2A imagery and field data, Mine Water and Environment, 2019, Vol. 38(1), pp. 707–717, DOI: 10.1007/s10230-019-00632-2.
  31. Wobber F. J., Russell O. R., Deely D. J., Multiscale aerial and orbital techniques for management of coal-mined lands, Photogrammetria, 1975, Vol. 31(4), pp. 117–133.