Corrigendum to “Antifouling biocides as a continuous threat to the aquatic environment: Sources, temporal trends and ecological risk assessment in an impacted region of Brazil” [Sci. Total Environ. 730 (2020), 139026]

2020 ◽  
Vol 737 ◽  
pp. 140294
Author(s):  
José Lucas Martins Viana ◽  
Marta dos Santos Diniz ◽  
Sara Raiane Viana dos Santos ◽  
Raphael Teixeira Verbinnen ◽  
Márcio Aurélio Pinheiro Almeida ◽  
...  
2020 ◽  
Vol 730 ◽  
pp. 139026 ◽  
Author(s):  
José Lucas Martins Viana ◽  
Marta dos Santos Diniz ◽  
Sara Raiane Viana dos Santos ◽  
Raphael Teixeira Verbinnen ◽  
Márcio Aurélio Pinheiro Almeida ◽  
...  

2003 ◽  
Vol 9 (2) ◽  
pp. 569-587 ◽  
Author(s):  
Mark R. Servos ◽  
R. James Maguire ◽  
Donald T. Bennie ◽  
Hing-Biu Lee ◽  
Philippa M. Cureton ◽  
...  

2003 ◽  
Vol 9 (2) ◽  
pp. 589-606 ◽  
Author(s):  
Leslie Rutherford ◽  
Christine Garron ◽  
William Ernst ◽  
Kimberley Kennedy

2003 ◽  
Vol 9 (2) ◽  
pp. 527-548 ◽  
Author(s):  
Miles Constable ◽  
Murray Charlton ◽  
Fern Jensen ◽  
Karen McDonald ◽  
Gordon Craig ◽  
...  

Author(s):  
Jingchao Liu ◽  
Jin Wu ◽  
Weiying Feng ◽  
Xia Li

In order to understand the heavy metal pollution status and ecological effect in aquatic environment around copper mine areas, seven heavy metals (Cd, Cd, Cr, Cu, Hg, Zn, the Ni, and Pb) in aquatic environments in seven representative copper mine regions were selected from the literature in 2005–2013 for ecological risk assessment by using potential ecological risk index, geoaccumulation index, nemerow index and species sensitivity distribution method (Potential Affected Fraction (PAF) and Multi-Substance PAF (MSPAF)). The results of sediment ecological risk analysis showed that Cd, Cu and Pb were the main pollutants in sediments. The results of species sensitivity distribution analysis showed that the HC5 values (Hazardous Concentration for 5% of species) of seven heavy metals were different with order Zn > Cr > Cd > Pb > Cu > Ni > Hg. The MSPAF of seven copper mines in the following order with species sensitivity distribution method was as follows: Dabaoshan (99%) = Dahongshan (99%) = Baiyin (99%) > Dexing (97%) > Jinchuan (92%) > Tongling (39%) > Daye (24%). This study analyzes the impact of copper mining on the aquatic environment, and the results of this study will be great value for the comprehensive pollution governance of mining.


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