A study of heavy metal pollution of Asa River, Ilorin. nigeria; trace metal monitoring and geochemistry

2006 ◽  
Vol 125 (1-3) ◽  
pp. 157-163 ◽  
Author(s):  
F. A. Adekola ◽  
O. A. A. Eletta
2013 ◽  
Vol 664 ◽  
pp. 399-402
Author(s):  
Yuan Hua Chen ◽  
Ji Ping Jiang ◽  
Yu Liu ◽  
Li Na Zhang ◽  
Yi Wang

Recently, aquatic pollution of heavy metals has been breaking out with increasing frequency around the world, which puts great threats to ecosystem and human health. However, there are seldom researches on Early Warning/Emergency Response System (EWERS) of heavy metal pollution. In this present study, we propose a logistic structure and function structure of EWERS on the ground of functional requirement of response to river heavy metal pollution. This system includes five subsystems: heavy metal monitoring, contaminant source information management, emergency management, database and authority management subsystems. It can not only predict the process of heavy metal accumulation processes, but also calculate risk degree for given area taking the water function zone into consideration. For those areas where risk is identified as unacceptable, emergency response plan should be created by case base reasoning to achieve reduction hazard in a cost-effective way.


2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  

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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