期刊名称：International Journal of Environmental Science and Development
印刷版ISSN：2010-0264
出版年度：2015
卷号：6
期号：8
页码：571-575
DOI：10.7763/IJESD.2015.V6.659
摘要：AbstractMonitoring 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.
关键词：Partial least square regression; potentially toxic elements; preprocessing; support vector machine regression; visible; near infrared spectroscopy
