Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites.

ABSTRACT: Heavy metals contaminations in mining areas aroused wide concerns globally. Efficient evaluation of its pollution status is a basis for further soil reclamation. Visible and near-infrared reflectance (Vis-NIR) spectroscopy has been diffusely used for retrieving heavy metals concentrations. However, the reliability and feasibility of calibrated models were still doubtful. The present study estimated zinc (Zn) concentrations via the random forest (RF) and partial least squares regression (PLSR) using ground in-situ Zn concentrations as well as soil spectral reflectance at an Opencast Coal Mine of Ordos, China in February 2020. The coefficient of determination (R²), root mean square error (RMSE), mean absolute error (MAE), and the ratio of performance to deviation (RPD) were select

SUBMITTER: Guo B 

PROVIDER: S-EPMC8497582 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature