Bioindicator organisms: Heavy metal pollution evaluation in the Ionian Sea (Mediterranean Sea?Italy)

2005 ◽  
Vol 102 (1-3) ◽  
pp. 159-166 ◽  
Author(s):  
Maria M. Storelli ◽  
Giuseppe O. Marcotrigiano
Keyword(s):  
Heavy Metal ◽  
Mediterranean Sea ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Ionian Sea ◽  
Pollution Evaluation

The Methods of Soil Heavy Metal Pollution Evaluation Using GRA

2011 ◽  
Vol 282-283 ◽  
pp. 637-640 ◽  
Author(s):  
Xiao Yan Shao ◽  
Xiang Li ◽  
Ling Ling Li
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Practical Method ◽  
Soil Heavy Metal ◽  
Gray System Theory ◽  
Pollution Research ◽  
Pollution Factor ◽  
Grey Relational ◽  
Pollution Evaluation

To assess the soil heavy metal pollution, there are so many methods, such as the mono pollution-factor, the comprehensive Nemerow pollution-factor and so on. Grey Relational Analysis (GRA) is one of the major contents of gray system theory. The method of GRA was used in the application of environmental impact assessment, such as water pollution research. In this paper, we designed the new practical method of the heavy metal pollution evaluation, which is focus on six soil heavy metals (Cd, Hg, Pb, Cr, Cu, Zn). According to the consenting range of environment level by the National Environmental Standard (GB15618-1995), we have done our researches.

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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