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

Dvornikov, Y.; Slukovskaya, M.; Yaroslavtsev, A.; Meshalkina, J.; Ryazanov, A.; Sarzhanov, D.; Vasenev, V.

Авторы: Dvornikov Yury, Slukovskaya Marina, Yaroslavtsev Alexey, Meshalkina Joulia, Ryazanov Alexey, Sarzhanov Dmitrii, Vasenev Vyacheslav
Журнал: Land Degradation and Development
Том: 33
Год издания: 2022
Издательство: John Wiley & Sons Inc.
Местоположение издательства: United States
Первая страница: 1731
Последняя страница: 1744
DOI: 10.1002/ldr.4261
Аннотация: 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.
Добавил в систему: Дворников Юрий Александрович

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High-resolution mapping of soil pollution by Cu and Ni at a polar industrial barren area using proximal and remote sensingстатья Исследовательская статья

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