Protectiveness of species sensitivity distribution hazard concentrations for acute toxicity used in endangered species risk assessment

2008 ◽  
Vol 27 (12) ◽  
pp. 2599-2607 ◽  
Author(s):  
Sandy Raimondo ◽  
Deborah N. Vivian ◽  
Charles Delos ◽  
Mace G. Barron
Keyword(s):  
Risk Assessment ◽  
Endangered Species ◽  
Acute Toxicity ◽  
Species Sensitivity Distribution ◽  
Species Sensitivity ◽  
Sensitivity Distribution

scholarly journals Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China

2020 ◽  
Vol 17 (12) ◽  
pp. 4315
Author(s):  
Jingchao Liu ◽  
Jin Wu ◽  
Weiying Feng ◽  
Xia Li
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Aquatic Environment ◽  
Species Sensitivity Distribution ◽  
Species Sensitivity ◽  
Distribution Method ◽  
Sensitivity Distribution ◽  
Copper Mines

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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