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High‐resolution mapping of soil pollution by Cu and Ni at a polar industrial barren area using proximal and remote sensing

Bibliographic Data

ID21648855
AuthorsYury Dvornikov (0000-0003-3491-4487, Department of Landscape Design and Sustainable Ecosystems Agrarian‐Technological Institute Peoples' Friendship University of Russia Moscow Russia, corresponding author), Marina Slukovskaya (0000-0002-5406-5569, Department of Landscape Design and Sustainable Ecosystems Agrarian‐Technological Institute Peoples' Friendship University of Russia Moscow Russia), Alexey Yaroslavtsev (0000-0003-4115-3233, Department of Landscape Design and Sustainable Ecosystems Agrarian‐Technological Institute Peoples' Friendship University of Russia Moscow Russia), Joulia Meshalkina (0000-0003-1513-2439, Department of Ecology Russian State Agrarian University ‐ Moscow Timiryazev Agricultural Academy Moscow Russia), Alexey Ryazanov (Department of Landscape Design and Sustainable Ecosystems Agrarian‐Technological Institute Peoples' Friendship University of Russia Moscow Russia), Dmitrii Sarzhanov (0000-0002-1627-2487, Department of Landscape Design and Sustainable Ecosystems Agrarian‐Technological Institute Peoples' Friendship University of Russia Moscow Russia), Viacheslav Vasenev (0000-0003-0286-3021, Soil Geography and Landscape Group Wageningen University Wageningen The Netherlands)
Year2022
Volume33
Issue10
Pages1731-1744
Publication date2022-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4261
OpenAlexW4221059539
LanguageEN
References cited56

Industrial pollution by potentially toxic elements (PTE) remains a key environmental threat, resulting in soil and ecosystem degradation. Remediation of the industrial barrens is challenging in polar regions, where plant growth is hampered by severe climatic conditions. High‐resolution mapping of soil pollution is needed to support soil remediation and management projects. The distribution of nickel (Ni) and copper (Cu) was analyzed in the topsoil within the industrial barren around the Ni and Cu smelter in Kola Peninsula, Russia using a field‐portable XRF analyzer. Bulk Cu and Ni contents were measured at 84 observation points within the area of two hectares planned for remediation. The PTE content varied between 0.2 and 9.0 g kg −1 for Cu and between 0.2 and 21 g kg −1 for Ni. The area was surveyed with unmanned aerial vehicles and differential global navigation satellite systems to obtain a high‐accuracy digital terrain model for exploring the factors behind the spatial variability. Field observations were interpolated by regression kriging with different input resolution of auxiliary data (0.5–1.0–1.5–2.0 m) and different regression models (gradient boosting machines and multiple linear regression). Model performance and validation showed that 1.0–1.5 m resolution of auxiliary data were the best for projecting Cu and Ni topsoil contents within the study site. The soil type and topographic wetness index were the most important variables explaining Cu and Ni content variability

Cartography · Contamination · Environmental remediation · Geography · Kriging · Soil water · Spatial variability · Terrain · Topsoil · Environmental Science · Geochemistry and Geologic Mapping · Heavy metals in environment · Soil Geostatistics and Mapping · Geology · Pollution · Soil Science

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