Open AccessSimulation of Metal Contents through Correlated Optimal Monitoring Metals of Dagu River Sediments
Author(s) -
Jingmei Sun,
Zhichao Wang,
Reng Li,
Degang Ma,
Baoshan Liu
Publication year - 2011
Publication title -
procedia environmental sciences
Language(s) - English
Resource type - Journals
ISSN - 1878-0296
DOI - 10.1016/j.proenv.2011.10.026
Subject(s) - pollutant , transect , environmental science , heavy metals , sediment , environmental chemistry , metal , environmental engineering , hydrology (agriculture) , geology , chemistry , geotechnical engineering , metallurgy , materials science , geomorphology , oceanography , organic chemistry
Determination of pollutants for river sediments is essential and valuable. To allow a reduction in the number of monitoring metals analyzed in the future monitoring of watercourse, statistic analysis of heavy metals in Dagu River sediments was conducted and a simulation model was developed. Results show that all investigated metals except Zn and Ni in Dagu River sediments are positively correlated with three or more than three other metals. The optimal monitoring metals of Dagu River sediments are Pb (or Cr), Ni, Hg and Zn based on the correlations and their correlation coefficients of metals. To determine metal contents in Dagu River sediments in the future, only detection of the optimal monitoring metals in each sampling transect are required. The pollutant levels of other metals (As, Cd, Cr/Pb and Cu) can be simulated through well correlated metals using the simulation model developed from a nonlinear function of Sigmoid f(x)=1/(1+e-x), a BP manual neural network model
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