Bricks reveal recent history of heavy metal pollution in soil around a north Indian city

1998 ◽  
Vol 209 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Rohit Shrivastav ◽  
S.K Mathur ◽  
M.M Srivastava ◽  
S Dass ◽  
S Prakash
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Recent History ◽  
Indian City ◽  
History Of

Sediment dynamics and heavy metal pollution history of the Cruhlig Lake (Danube Delta, Romania)

2016 ◽  
Vol 153 ◽  
pp. 167-175 ◽  
Author(s):  
Róbert-Csaba Begy ◽  
Luminita Preoteasa ◽  
Alida Timar-Gabor ◽  
Radu Mihăiescu ◽  
Claudiu Tănăselia ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Sediment Dynamics ◽  
Danube Delta ◽  
Pollution History ◽  
History Of

A history of heavy metal pollution recorded in the shell of Mytilus edulis

2006 ◽  
Vol 70 (18) ◽  
pp. A662 ◽  
Author(s):  
S. Tynan ◽  
B.N. Opkyke ◽  
D. Ellis ◽  
S. Beavis
Keyword(s):  
Heavy Metal ◽  
Mytilus Edulis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
History Of

Reconstructing the History of Heavy Metal Pollution by Tree-Ring

2012 ◽  
Vol 610-613 ◽  
pp. 1109-1112
Author(s):  
Xiao Guang Zhao ◽  
Zhi Gui Huang ◽  
Yang Yang ◽  
Le Yao
Keyword(s):  
Heavy Metal ◽  
Tree Ring ◽  
Tree Rings ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Time Distribution ◽  
Metal Content ◽  
Heavy Metal Content ◽  
Gold Mine ◽  
History Of

This article is based on gold-mine. Analyzing the correlation of heavy metal content between tree rings and soil. Through the distribution of heavy metal content in the trees inverse the process of heavy metal pollution in soil. Discussing the time distribution of heavy metal pollution.

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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