El-Naggar, A., Kamel, M. (2007). STATISTICAL EVALUATION OF COPPER AND LEAD DISTRIBUTION IN SOME CONTAMINATED SOILS WITH INDUSTRIAL WASTE WATER IN EGYPT.. Journal of Soil Sciences and Agricultural Engineering, 32(8), 6963-6975. doi: 10.21608/jssae.2007.201346
A. M.A. El-Naggar; M.M. Kamel. "STATISTICAL EVALUATION OF COPPER AND LEAD DISTRIBUTION IN SOME CONTAMINATED SOILS WITH INDUSTRIAL WASTE WATER IN EGYPT.". Journal of Soil Sciences and Agricultural Engineering, 32, 8, 2007, 6963-6975. doi: 10.21608/jssae.2007.201346
El-Naggar, A., Kamel, M. (2007). 'STATISTICAL EVALUATION OF COPPER AND LEAD DISTRIBUTION IN SOME CONTAMINATED SOILS WITH INDUSTRIAL WASTE WATER IN EGYPT.', Journal of Soil Sciences and Agricultural Engineering, 32(8), pp. 6963-6975. doi: 10.21608/jssae.2007.201346
El-Naggar, A., Kamel, M. STATISTICAL EVALUATION OF COPPER AND LEAD DISTRIBUTION IN SOME CONTAMINATED SOILS WITH INDUSTRIAL WASTE WATER IN EGYPT.. Journal of Soil Sciences and Agricultural Engineering, 2007; 32(8): 6963-6975. doi: 10.21608/jssae.2007.201346
STATISTICAL EVALUATION OF COPPER AND LEAD DISTRIBUTION IN SOME CONTAMINATED SOILS WITH INDUSTRIAL WASTE WATER IN EGYPT.
Forty two surface soil samples (0-30cm depth) from four location, highly polluted with industrial wastes in Egypt, were analyzed for the total Pb and Cu, DTPA-extractable Pb and Cu. The values of total Pb ranged from 37 to 249 ug/g soil with mean value 136 ug/g soil. The values of total Cu ranged from 26 to 245 ug/g soil with mean value 119 ug/g soil. The minimum, maximum and mean values of DTPA-extractable were 2.4 and 34.6 and 14.91 ug/g soil for lead, respectively and 1.7 ,32.8 and 15.06 ug/g soil for copper, respectively.
Multiple regression equations were derived to find the relationships between:
First total Pb and other variables, second between total Cu and other variables, third between DTPA-extractable Pb and other variables and forth between DTPA-extractable Cu and other variable, the more variables added to the equation, little improvement in R-sq was observed.
Factor analysis was used to combine variables Clay%; pH; EC; CaCO3%; OM%; Pb(T); Pb(av) ,Cu(T); Cu(av) as soil analysis parameters into homogeneous groups.
For the first agglomeration, the final partition shows the lowest similarity of 49.2% between two associations cluster {Clay% }and cluster { pH; EC; OM%; Pb(T); Pb(av); CaCO3%}.While there is evident with the highest similarity of 96.3% when joining cluster. {Pb(T)} with cluster {Pb(av). For the second agglomeration, the highest similarity of 90.4% was found when joining cluster {Cu(T)}with cluster{ Cu(av) }; while the lowest similarity of 52.172% between two associations cluster {Clay% }and cluster { pH; EC; OM%; Cu(T); Cu(av); CaCO3%}.For the third agglomeration, there is evident with the highest similarity of 96.3% when joining cluster {Pb(T) ug/g}; and cluster{ Pb(av) ug/g}. While the lowest similarity of 52.17% was found between cluster{Clay} and cluster {pH, OM ,EC; Cu(T); Cu(av) , Pb(T) , Pb(av), CaCO3}.
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