Apis mellifera ligustica, Spinola 1806 as bioindicator for detecting environmental contamination: a preliminary study of heavy metal pollution in Trieste, Italy

2016 ◽  
Vol 24 (1) ◽  
pp. 659-665 ◽  
Author(s):  
Anita Giglio ◽  
Anna Ammendola ◽  
Silvia Battistella ◽  
Attilio Naccarato ◽  
Alberto Pallavicini ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Apis Mellifera ◽  
Environmental Contamination ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Apis Mellifera Ligustica ◽  
Preliminary Study

Preliminary study on zeolite materials used to control of heavy metal pollution during the culture of mud clamTegillarca granosaL.

2013 ◽  
Vol 46 (6) ◽  
pp. 1426-1435 ◽  
Author(s):  
Cai Jihan ◽  
Lv Yonglin ◽  
Chen Peng ◽  
Li Kai ◽  
Shen Qiyu ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Preliminary Study ◽  
Materials Used

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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