(Article of periodic en Anglais - 2013)

Document title

The use of reflectance visible–NIR spectroscopy to predict seasonal change of trace metals in suspended solids of Changjiang River

Authors(s) and Affiliation(s)

SONG Y. (1 2) ; JI J. (1) ; MAO C. (1) ; AYOKO G.A. (2) ; FROST R.L. (2) ; YANG Z. (3) ; YUAN X. (4) ;
(1) Key Lab. of Surficial Geochemistry, Ministry of Education, School of Earth Science and Engineering, Univ., Nanjing, CHINE
(2) Discipline of Nanotechnology and Molecular Science, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Fac., Queensland Univ. of Technology, Brisbane, AUSTRALIE
(3) School of Earth Sciences and Resources, China Univ. of Geosciences, Beijing, CHINE
(4) College of Environment and Engineering, Hohai Univ., Nanjing, CHINE


Diffuse reflectance visible and near infrared spectroscopy (Vis/NIR) was used to analyze the trace metal content of suspended solids collected from the Changjiang River during different seasons and to compare concentrations between the main river channel and its tributaries. First derivative (FD) transformation highlighted peaks in the reflectance spectra, including a weak overlapping peak in the visible region, which coincided with peaks in trace metal concentration. Principal component analysis (PCA) showed the main peaks at around 430 nm, 500 nm, 530 nm and 650 nm to be from iron oxides in visible region, and around 1414 nm, 1914 nm and 2210 nm to be from water, hydroxyl and clay minerals. In addition, hierarchical principal component analysis (HPCA) showed that the spectral peaks for the tributary samples increased between 800 and 2250 nm during the flood season, when compared to the dry season. Partial-least square (PLS) regression models showed better prediction for heavy metals in suspended solids


Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2013, vol. 109 [pp. 217-224]

Bibliographic references : 40 ref.

Collation : 7 fig., 2 tabl.



INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2013.03.009

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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