Col. of Chemical and Environmental Engineering

Qingdao, China

Col. of Chemical and Environmental Engineering

Qingdao, China

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Zhou G.,Col. of Chemical and Environmental Engineering | Li Y.,Col. of Chemical and Environmental Engineering | Chen M.,Col. of Chemical and Environmental Engineering | Zhang K.,Col. of Chemical and Environmental Engineering
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 | Year: 2010

In this paper, we choosed De-xing copper mine as study area, collected canopy spectral data and determined the heavy metal concentration in Comnyza Canadensis (L.) Cronq leaves. These plants in background field have significant spectral feature, such as the low reflectance, the biggest absorption valley depth and the largest red valley area. Compared with spectral feature of Comnyza Canadensis (L.) Cronq in background field, the spectral reflectance of these plants in acid mine drainage contaminated area and in mine waste reservoir increase obviously. Some indexes, including the depth of red valley, the area of red valley and the water absorption valleys, decrease. While the red edge peak and its area increase and there are blueshift obviously at red edge. The single factor analysis showed that most spectral parameters have a good correlation to the Pb and Cd concentration in leaves. The stepwise regression analysis results showed that spectral parameters are more closely related to the Pb concentration (r2=0.9338), and high estimation accuracy can be gained via stepwise regression. However, the accuracy is low for Cd concentration estimation by spectral parameters. ©2010 IEEE.


Zhou G.,Col. of Chemical and Environmental Engineering | Chen M.,Col. of Chemical and Environmental Engineering | Zhang K.,Col. of Chemical and Environmental Engineering | Yang Q.,Col. of Chemical and Environmental Engineering
5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 | Year: 2011

In this paper, Jilihe basin was selected as the study area, in which the surface water, soil and sediments were collected. After surveying, sampling and determination, distribution characteristics of Fe and Mn in the samples, including soils, sediments, suspended solids and surface water, was systematically analyzed. The chemical species of Fe and Mn in soils and sediments was analyzed by Tessier sequential extraction method and tested by AAS. In addition, the possible existing state was clear through the analysis of XRD. Then through the relevant analysis of the relationship between heavy metals, the content and the transportation regularity of heavy metals, the main reason of excessive Fe and Mn was found. This not only provides a theoretical basis for the control of excessive Fe and Mn in Jilihe basin, but also provides the basis for establishment of water quality protection measures. © 2011 IEEE.

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