Literature DB >> 33928674

Assessing the Toxicity of Mine-Water Mixtures and the Effectiveness of Water Quality Guideline Values in Protecting Local Aquatic Species.

Melanie A Trenfield1, Ceiwen J Pease1, Samantha L Walker1, Scott J Markich2, Chris L Humphrey1, Rick A van Dam3, Andrew J Harford1.   

Abstract

Six tropical freshwater species were used to assess the toxicity of mine waters from a uranium mine adjacent to a World Heritage area in northern Australia. Key contaminants of potential concern for the mine were U, Mg, Mn, and total ammonia nitrogen (TAN). Direct toxicity assessments were carried out to assess whether the established site-specific guideline values for individual contaminants would be protective with the contaminants occurring as mixtures. Metal speciation was calculated for contaminants to determine which were the major contributors of toxicity, with 84 to 96% of Mg predicted in the free-ion form as Mg2+ , and 76 to 92% of Mn predicted as Mn2+ . Uranium, Al, and Cu were predicted to be strongly bound to fulvic acid. Uranium, Mg, Mn, and Cu were incorporated into concentration addition or independent action mixture toxicity models to compare the observed toxicity in each of the waters with predicted toxicity. For >90% of the data, mine-water toxicity was less than predicted by the concentration addition model. Instances where toxicity was greater than predicted were accompanied by exceedances of individual metal guideline values in all but one case (i.e., a Mg concentration within 10% of the guideline value). This indicates that existing individual water quality guideline values for U, Mg, Mn, and TAN would adequately protect ecosystems downstream of the mine. Environ Toxicol Chem 2021;40:2334-2346.
© 2021 Commonwealth of Australia. Environmental Toxicology and Chemistry © 2021 SETAC. © 2021 Commonwealth of Australia. Environmental Toxicology and Chemistry © 2021 SETAC.

Entities:  

Keywords:  Copper; Magnesium; Manganese; Metal mixture toxicity; Uranium

Mesh:

Substances:

Year:  2021        PMID: 33928674     DOI: 10.1002/etc.5103

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  2 in total

1.  Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds.

Authors:  Kun Wei; Guokai Xiong; Zhenghua Xu; Yong Liu
Journal:  Comput Intell Neurosci       Date:  2021-11-24

2.  Sensitivity of Ostracods to U, Cd and Cu: The Case of Cypridopsis vidua.

Authors:  Liang Chen; Zheng Huo; Chi Su; Yong Liu; Wei Huang; Shan Liu; Peng Feng; Zhixin Guo; Zhihua Su; Haiyang He; Qinglin Sui
Journal:  Toxics       Date:  2022-06-24
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.