Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

Estimating Pb concentration of soil in the mining tailing areas base on field spectroscopy and random forests

Authors
Jie Lv, Kangning Wang, Chonggui Li, Yuancheng Huang, Xiaoliang Shi, Ying Liu, Ningyan Hao
Corresponding Author
Jie Lv
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.23How to use a DOI?
Keywords
Pb concentration, heavy metal, random forests, field spectroscopy, estimation model
Abstract

Heavy metal pollutions of soil is one of the serious problems in the mining tailing areas, therefore, it is significant to estimate heavy metal of soil in the mining tailing areas. This research take Jinduicheng Mo mining tailings, Huaxian, Shaanxi Province as the study area. A total number of 288 soil samples collected at the mining tailing areas. And the heavy metal concentrations of Pb in soil were determined through chemistry analysis in the laboratory. The original reflectance spectral measurements of soil were collected using an ASD field spectrometer for the solar reflective wavelengths (350-2500 nm) in the field. The hyperspectral prediction model of Pb concentration in soils yielded a correlation coefficient of 0.7703 and Root Mean Square Error of the prediction (RMSE) value of 249.9720. The research results provide theoretical basis for the exploration of soil heavy metal content estimation, and have important practical significance for the monitoring of heavy metal pollution in the mining tailing areas.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.23How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jie Lv
AU  - Kangning Wang
AU  - Chonggui Li
AU  - Yuancheng Huang
AU  - Xiaoliang Shi
AU  - Ying Liu
AU  - Ningyan Hao
PY  - 2016/02
DA  - 2016/02
TI  - Estimating Pb concentration of soil in the mining tailing areas base on field spectroscopy and random forests
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 110
EP  - 113
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.23
DO  - 10.2991/iccsae-15.2016.23
ID  - Lv2016/02
ER  -