%0 Journal Article
%T Applicability of Linear Regression Model for the Estimation of Mobility Factor of Heavy Metal in Contaminated Soil against Native Concentrations
%J Advances in Analytical Chemistry
%@ 2163-2847
%D 2012
%I 
%R 10.5923/j.aac.20120202.01
%X This study posits a far-reaching aggregation of considerations for the immediate natural conditions of soil under assessment with the application of simplistic linear regression analysis to deduce a mobility factor for heavy metals in soil. Attempting thereby to eliminate the weaknesses observed in adsorption tests, the rigors of infiltration tests and chemical fractionation procedures. Therefore vertical depth profile (0-5cm, 5-50cm and 50-100cm) of contaminated soil samples at municipal dumpsites and native soil (uncontaminated reference samples) concentrations of Cu, Mn, Pb and Zn were analysed using inductively coupled plasma ¨C optical emission spectrometry (ICP-OES). The results of linear regression analysis considered the value of slope in the equation for the estimation of mobility factor of heavy metals in contaminated soil. The following average order of mobility factor for the heavy metals, Mn (37.36) > Pb (0.48) > Cu (0.38) > Zn (0.19) was established. This order was certainly not dependent on concentration, which allude to already established facts that several factors influence the mobility of heavy metals in soil. Apart from the estimation of mobility factors for the heavy metals, the equation was also found to be useful in predicting the concentration of heavy metals at dumpsites given a reference concentration value.
%K Dumpsite Soil
%K Native Concentration
%K Heavy Metals
%K Regression Model
%K Mobility Factor
%U http://article.sapub.org/10.5923.j.aac.20120202.01.html