SPATIAL VARIABILITY OF HEAVY METAL POLLUTION POTENTIAL FROM AN URBAN ROAD NETWORK

2018 ◽  
Vol 17 (9) ◽  
pp. 2097-2102
Author(s):  
Sudip K. Pal ◽  
Steve G. Wallis ◽  
Scott Arthur
Keyword(s):  
Heavy Metal ◽  
Spatial Variability ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Road Network ◽  
Pollution Potential ◽  
Urban Road Network ◽  
Urban Road

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

Sign in / Sign up

Export Citation Format

Share Document