—Monitoring of potentially toxic elements (PTEs) in anthropogenic soils on brown coal mining dumpsites requires a large number of samples and cumbersome and time-consuming laboratory measurements. Reflectance spectroscopy within the visible-near infrared (Vis-NIR) region has been used to predict soil constituents due to its rapidity, convenience and accuracy. This study evaluated the suitability of Vis-NIR (350-2500 nm) reflectance spectroscopy for predicting PTEs concentration, using samples collected on large brown coal mining dumpsites in the Czech Republic. partial least square regression (PLSR) and support vector machine regression (SVMR) with cross-validation were used to relate PTEs data to the reflectance spectral data by applying different preprocessing strategies. Overall, SVMR models for the Vis-NIR spectra could be indirectly used for accurate assessment of PTEs’ concentrations.
—Partial least square regression, potentially toxic elements, preprocessing, support vector machine regression, visible-near infrared spectroscopy.
A. Gholizadeh and L. Borůvkaa are with the Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Parague, Kamycka 129, 16521- Suchdol, Praha 6- Prague, Czech Republic (e-mail: firstname.lastname@example.org, email@example.com).
M. M. Saberioon is with the Smart Farming Technology Research Centre, University Putra Malaysia, Selangor, Serdang, Malaysia (e-mail: firstname.lastname@example.org).
Cite:A. Gholizadeh, L. Borůvka, and M. M. Saberioon, "A Spectroscopic Approach to Assess Potentially Toxic Elements of Reclaimed Dumpsites in the Czech Republic," International Journal of Environmental Science and Development vol. 6, no. 8, pp. 571-575, 2015.