ekipЭкология и промышленность РоссииEcology and Industry of Russia1816-03952413-6042ООО "Калвис"10.18412/1816-0395-2021-1-49-53ekip-1711Research ArticleТЕМА НОМЕРА. Экология горной промышленности УралаNUMBER SUBJECT. Ecology of the Mining Industry of the UralsИсследование формирования растительной экосистемы на территории золотодобывающих рудников в Челябинской областиInvestigation of the Formation of a Plant Ecosystem in the Territory of Gold Mining Mines in the Chelyabinsk RegionЗеньковИ.В.Zen’kovI.V.

д-р техн. наук, профессор

Dr. Sci. (Eng.), Professor

podpiska@kalvis.ruЛогиноваЕ.В.LoginovaE.V.

канд. экон. наук, доцент

Cand. Sci. (Economics), Associate Professor

podpiska@kalvis.ruКарачёваГ.А.KarachevaG.A.

ст. преподаватель

Senior Lector

podpiska@kalvis.ruЛатышенкоГ.И.LatyshenkoG.I.

доцент

Associate Professor

podpiska@kalvis.ruКондрашовП.М.KondrashovP.M.

канд. техн. наук, профессор

Cand. Sci. (Eng.), Professor

podpiska@kalvis.ruПавловаП.Л.PavlovaP.L.

канд. техн. наук, доцент

Cand. Sci. (Eng.), Associate Professor

podpiska@kalvis.ruСкорняковаС.Н.SkornyakovaS.N.

ст. преподаватель

Senior Lector

podpiska@kalvis.ruМаглинецЮ.А.MaglinetsYu.A.

канд. техн. наук, профессор

Cand. Sci. (Eng.), Professor

podpiska@kalvis.ruКоновВ.Н.KonovV.N.

канд. техн. наук, доцент

Cand. Sci. (Eng.), Associate Professor

podpiska@kalvis.ruСибирский государственный университет науки и технологий им. академика М.Ф. РешетнёваРоссияReshetnev Siberian State University of Science and Technology (Reshetnev University)Russian FederationСибирский федеральный университетРоссияSiberian Federal UniversityRussian Federation2021200120212514953Copyright © ООО "Калвис", 20212021ООО "Калвис"ООО "Калвис"https://www.ecology-kalvis.ru/jour/about/submissions#copyrightNoticehttps://www.ecology-kalvis.ru/jour/article/view/1711

Представлены результаты исследования экологического состояния породных отвалов и хранилищ переработанной золотосодержащей руды в ходе открытой разработки золоторудных месторождений на территории Челябинской области. По данным дистанционного зондирования и проведения аналитических расчетов установлено отставание темпов рекультивации нарушенных земель от темпов их изъятия под нужды золотодобывающих предприятий. Параллельно с этим выявлены низкие уровни коэффициентов восстановления растительного покрова на породных отвалах.

The paper presents the results of a study of the ecological state of rock dumps and repositories of processed gold-bearing ore in the course of open-pit mining of gold deposits in the Chelyabinsk region. According to remote sensing data and analytical calculations, it was established that the rate of reclamation of disturbed lands lags behind the rate of their withdrawal for the needs of gold mining enterprises. In parallel with this, low levels of vegetation cover restoration coefficients were revealed on waste dumps.

Челябинская областьоткрытые горные работыдистанционное зондированиедистанционный мониторингзолоторудные месторожденияпородные отвалыэкология горной промышленностирекультивация земельвосстановление экологииChelyabinsk regionopen pit miningremote sensingremote monitoringgold depositswaste dumpsmining ecologyland reclamationecology restorationReferencesTimothy G. O'Brien, Jorge Ahumada, Emmanuel Akampurila, Lydia Beaudrot, Kelly Boekee, Terry Brncic, Jena Hickey, Patrick A. Jansen, Charles Kayijamahe, Jennifer Moore, Badru Mugerwa, Felix Mulindahabi, Mireille Ndoundou‐Hockemba, Protais Niyigaba, Madeleine Nyiratuza, Cisquet K. Opepa, Francesco Rovero, Eustrate Uzabaho, Samantha Strindberg. Camera trapping reveals trends in forest duiker populations in African National Parks. Remote Sensing in Ecology and Conservation. 2020. Vol. 6. Iss. 2. Р. 168—180.Timothy G. O'Brien, Jorge Ahumada, Emmanuel Akampurila, Lydia Beaudrot, Kelly Boekee, Terry Brncic, Jena Hickey, Patrick A. Jansen, Charles Kayijamahe, Jennifer Moore, Badru Mugerwa, Felix Mulindahabi, Mireille Ndoundou‐Hockemba, Protais Niyigaba, Madeleine Nyiratuza, Cisquet K. Opepa, Francesco Rovero, Eustrate Uzabaho, Samantha Strindberg. Camera trapping reveals trends in forest duiker populations in African National Parks. Remote Sensing in Ecology and Conservation. 2020. Vol. 6. Iss. 2. Р. 168—180.Michelle A. LaRue, David G. Ainley, Jean Pennycook, Kostas Stamatiou, Leo Salas, Nadav Nur, Sharon Stammerjohn, Luke Barrington. Engaging ‘the crowd’ in remote sensing to learn about habitat affinity of the Weddell seal in Antarctica. Remote Sensing in Ecology and Conservation. 2020. Vol. 6. Iss.1. Р. 70—78.Michelle A. LaRue, David G. Ainley, Jean Pennycook, Kostas Stamatiou, Leo Salas, Nadav Nur, Sharon Stammerjohn, Luke Barrington. Engaging ‘the crowd’ in remote sensing to learn about habitat affinity of the Weddell seal in Antarctica. Remote Sensing in Ecology and Conservation. 2020. Vol. 6. Iss.1. Р. 70—78.Kaitlyn Elkind, Temuulen T. Sankey, Seth M. Munson, Clare E. Aslan. Invasive buffelgrass detection using high-resolution satellite and UAV imagery on Google Earth Engine. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 4. Р. 318—331.Kaitlyn Elkind, Temuulen T. Sankey, Seth M. Munson, Clare E. Aslan. Invasive buffelgrass detection using high-resolution satellite and UAV imagery on Google Earth Engine. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 4. Р. 318—331.Julie A. Fortin, Jason T. Fisher, Jeanine M. Rhemtulla, Eric S. Higgs. Estimates of landscape composition from terrestrial oblique photographs suggest homogenization of Rocky Mountain landscapes over the last century. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 3. Р. 224—236.Julie A. Fortin, Jason T. Fisher, Jeanine M. Rhemtulla, Eric S. Higgs. Estimates of landscape composition from terrestrial oblique photographs suggest homogenization of Rocky Mountain landscapes over the last century. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 3. Р. 224—236.Md Mizanur Rahman, David Lagomasino, SeungKuk Lee, Temilola Fatoyinbo, Imran Ahmed, Mamoru Kanzaki. Improved assessment of mangrove forests in Sundarbans East Wildlife Sanctuary using WorldView 2 and TanDEM ‐X high resolution imagery. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 2. Р. 136—149.Md Mizanur Rahman, David Lagomasino, SeungKuk Lee, Temilola Fatoyinbo, Imran Ahmed, Mamoru Kanzaki. Improved assessment of mangrove forests in Sundarbans East Wildlife Sanctuary using WorldView 2 and TanDEM ‐X high resolution imagery. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 2. Р. 136—149.Teja Kattenborn, Fabian Ewald Fassnacht, Sebastian Schmidtlein. Differentiating plant functional types using reflectance: which traits make the difference? Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 1. Р. 5—19.Teja Kattenborn, Fabian Ewald Fassnacht, Sebastian Schmidtlein. Differentiating plant functional types using reflectance: which traits make the difference? Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 1. Р. 5—19.Pedro J. Leitão, Marcel Schwieder, Fernando Pedroni, Maryland Sanchez, Josè R. R. Pinto, Leandro Maracahipes, Mercedes Bustamante, Patrick Hostert. Mapping woody plant community turnover with space‐borne hyperspectral data — a case study in the Cerrado. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 1. Р. 107—115.Pedro J. Leitão, Marcel Schwieder, Fernando Pedroni, Maryland Sanchez, Josè R. R. Pinto, Leandro Maracahipes, Mercedes Bustamante, Patrick Hostert. Mapping woody plant community turnover with space‐borne hyperspectral data — a case study in the Cerrado. Remote Sensing in Ecology and Conservation. 2019. Vol. 5. Iss. 1. Р. 107—115.Pen‐Yuan Hsing, Steven Bradley, Vivien T. Kent, Russell A. Hill, Graham C. Smith, Mark J. Whittingham, Jim Cokill, Derek Crawley, Mammal Webvolunteers, Philip A. Stephens. Economical crowdsourcing for camera trap image classification. Remote Sensing in Ecology and Conservation. 2018. Vol. 4. Iss. 4. Р. 361—374.Pen‐Yuan Hsing, Steven Bradley, Vivien T. Kent, Russell A. Hill, Graham C. Smith, Mark J. Whittingham, Jim Cokill, Derek Crawley, Mammal Webvolunteers, Philip A. Stephens. Economical crowdsourcing for camera trap image classification. Remote Sensing in Ecology and Conservation. 2018. Vol. 4. Iss. 4. Р. 361—374.https://www.google.com/earth/ (дата обращения 08.07.2020).https://www.google.com/earth/ (дата обращения 08.07.2020).https://earthexplorer.usgs.gov/ (дата обращения 08.07.2020).https://earthexplorer.usgs.gov/ (дата обращения 08.07.2020).http://mining-enc.ru/ (дата обращения 08.07.2020).http://mining-enc.ru/ (дата обращения 08.07.2020).

The authors declare that there are no conflicts of interest present.