scholarly journals Short-Term Biochemical Impacts in <i>Cyphoderus javanus</i> Borner (Collembola) as Potential Biomarkers of Fly Ash and Heavy Metal Pollution in Tropical Lateritic Soil

2016 ◽  
Vol 07 (01) ◽  
pp. 1-13 ◽  
Author(s):  
Atreyee Sahana ◽  
Vadakepuram Chacko Joy
Keyword(s):  
Heavy Metal ◽  
Fly Ash ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Lateritic Soil ◽  
Short Term ◽  
Potential Biomarkers

Qualitative short-term effects of cyanide and heavy metal pollution on phytoplankton and periphyton in the Rivers Tisza and Szamos (Hungary).

River Systems ◽  
2002 ◽  
Vol 13 (1-2) ◽  
pp. 47-72
Author(s):  
K.T. Kiss ◽  
E. Acs ◽  
K. Barkacs ◽  
G. Borics ◽  
B. Böddi ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Short Term ◽  
Short Term Effects

Efficiency of stepwise magnetic-chemical site assessment for fly ash derived heavy metal pollution

2015 ◽  
Vol 203 (2) ◽  
pp. 767-775 ◽  
Author(s):  
Liwan Cao ◽  
Erwin Appel ◽  
Wolfgang Rösler ◽  
Tadeusz Magiera
Keyword(s):  
Heavy Metal ◽  
Fly Ash ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Site Assessment

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.

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