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Trenfield MA, Walker SL, Tanneberger C, Harford AJ. Toxicity of Zinc to Aquatic Life in Tropical Freshwaters of Low Hardness. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:679-683. [PMID: 36598009 DOI: 10.1002/etc.5556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/06/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Zinc (Zn) is a metal of potential concern for a uranium mine whose receiving waters are in the World-Heritage listed Kakadu National Park in northern Australia. The chronic toxicity of Zn was assessed using seven tropical species in extremely soft freshwater from a creek upstream of the mine. Sensitivity to Zn was as follows (most sensitive to least sensitive based on 10% effect concentrations [EC10s]): mussel Velesunio angasi > gastropod Amerianna cumingi > fish Mogurnda mogurnda > cladoceran Moinodaphnia macleayi > green hydra Hydra viridissima > green alga Chlorella sp. > duckweed Lemna aequinoctialis, with EC10s (<0.45 µm filtered fraction) ranging from 21 to 320 µg/L Zn and EC50s ranging from 52 to 1867 µg/L Zn. These data were used to inform the risk assessment for the rehabilitation of the mine-site and contribute to the global Zn dataset. Environ Toxicol Chem 2023;42:679-683. © 2023 Commonwealth of Australia. Environmental Toxicology and Chemistry © 2023 SETAC.
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Affiliation(s)
- Melanie A Trenfield
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Samantha L Walker
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Claudia Tanneberger
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Andrew J Harford
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
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Trenfield MA, Walker SL, Tanneberger C, Kleinhenz LS, Harford AJ. Development of a Site-Specific Guideline Value for Copper and Aquatic Life in Tropical Freshwaters of Low Hardness. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:2808-2821. [PMID: 36039983 DOI: 10.1002/etc.5470] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/22/2022] [Accepted: 08/21/2022] [Indexed: 06/15/2023]
Abstract
Copper (Cu) is a contaminant of potential concern for a uranium mine whose receiving waters are in the World Heritage-listed Kakadu National Park in northern Australia. The physicochemical characteristics of the freshwaters in this region enhance metal bioavailability and toxicity. Seven tropical species were used to assess the chronic toxicity of Cu in extremely soft freshwater from a creek upstream of the mine. Sensitivity to Cu was as follows: Moinodaphnia macleayi > Chlorella sp. > Velesunio sp. > Hydra viridissima > Amerianna cumingi > Lemna aequinoctialis > Mogurnda mogurnda. The 10% effect concentrations (EC10s) ranged from 1.0 µg/L Cu for the cladoceran Moinodaphnia macleayi to 9.6 µg/L for the fish M. mogurnda. The EC50s ranged from 6.6 µg/L Cu for the mussel Velesunio sp. to 22.5 µg/L Cu for M. mogurnda. Geochemical modeling predicted Cu to be strongly bound to fulvic acid (80%-99%) and of low bioavailability (0.02%-11.5%) under these conditions. Protective concentrations (PCs) were derived from a species sensitivity distribution for the local biota. The 99% PC (PC99), PC95, PC90, and PC80 values were 0.5, 0.8, 1.0, and 1.5 µg/L Cu, respectively. These threshold values suggest that the current Australian and New Zealand default national 99% protection guideline value for Cu (1.0 µg/L) would not provide adequate protection in freshwaters of low hardness, particularly for this area of high conservation value. The continuous criterion concentration predicted by the Cu biotic ligand model for conditions of low pH (6.1), low dissolved organic carbon (2.5 mg/L), low hardness (3.3 mg/L), and 27 °C was 0.48 µg/L Cu, comparable with the PC99. Consideration of the natural water quality conditions of a site is paramount for protective water quality guidelines. Environ Toxicol Chem 2022;41:2808-2821. © 2022 Commonwealth of Australia. Environmental Toxicology and Chemistry © 2022 SETAC.
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Affiliation(s)
- Melanie A Trenfield
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Samantha L Walker
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Claudia Tanneberger
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Linda S Kleinhenz
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
| | - Andrew J Harford
- Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia
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Chen L, Huo Z, Su C, Liu Y, Huang W, Liu S, Feng P, Guo Z, Su Z, He H, Sui Q. Sensitivity of Ostracods to U, Cd and Cu: The Case of Cypridopsis vidua. TOXICS 2022; 10:349. [PMID: 35878254 PMCID: PMC9320312 DOI: 10.3390/toxics10070349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/17/2022] [Accepted: 06/22/2022] [Indexed: 02/01/2023]
Abstract
The development of uranium mines has been necessary to obtain abundant and scarce uranium resources, but they also bring inevitable radioactive contamination to the surrounding soil, rivers and lakes. This paper explores the sensitivity of Cypridopsis vidua to the radioactive element uranium and the heavy elements cadmium and copper with single and combined acute toxicity experiments and combined toxicity model predictions. The results from the single toxicity experiments showed that the degree of toxic effects was cadmium > copper > uranium. The combined toxicity experiments showed that the compound toxicity of U-Cd and U-Cu was higher than the weakest component and lower than the strongest component, whereas the compound toxicity of Cd-Cu was higher than either of its components. When the overall proportion of a more toxic metal was increased, its mixed toxicity also increased, and vice versa. Combined toxicity predictions showed that the U-Cd combination was best described by the concentration additive (CA) model, the independent action (IA) model was more applicable to the Cd-Cu combination, and the most applicable model for the U-Cu combination changed depending on the concentration gradient. The acute toxicity data from this study provide a reference for the development of wastewater discharge standards for uranium mines, enriches the data related to the toxicity of uranium for ostracods and deepens the understanding of the threat of uranium pollution to aquatic ecosystems.
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Affiliation(s)
- Liang Chen
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
- Hunan Key Laboratory of Rare Metal Minerals Exploitation and Geological Disposal of Wastes, Hengyang 421001, China
| | - Zheng Huo
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
| | - Chi Su
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
| | - Yong Liu
- Hunan Province Engineering Technology Research Centre of Uranium Tailings Treatment Technology, Hengyang 421001, China;
| | - Wei Huang
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
| | - Shan Liu
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
| | - Peng Feng
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
| | - Zhixin Guo
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
| | - Zhihua Su
- School of Management Science, Guizhou University of Finance and Economics, Guiyang 550025, China;
| | - Haiyang He
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
- Hunan Key Laboratory of Rare Metal Minerals Exploitation and Geological Disposal of Wastes, Hengyang 421001, China
| | - Qinglin Sui
- School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China; (L.C.); (Z.H.); (C.S.); (W.H.); (S.L.); (P.F.); (Z.G.)
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Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2021; 2021:1650096. [PMID: 34868285 PMCID: PMC8635904 DOI: 10.1155/2021/1650096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 11/02/2021] [Accepted: 11/05/2021] [Indexed: 11/18/2022]
Abstract
A new analysis method for the environmental stability of uranium tailing ponds is established in this paper, and the stability intervals and environmental stability rates of indicators are defined in precise mathematical language and analyzed with examples. The results show that the overall environmental stability of this uranium tailings pond is still in a poor state after the first phase of decommissioning treatment, and special decommissioning treatment should be carried out for factors such as pH and radionuclides Po and Pb. Using the powerful nonlinear mapping function of the artificial neural network, a radial basis function neural network algorithm was constructed to predict the environmental stability of the uranium tailing pond. It provides a new feasible method for the comprehensive evaluation technology of uranium tailings ponds. Accuracy in DOA Estimation. The research work in this paper mainly analyzed the environmental stabilization process and stability of decommissioned uranium tailings ponds, proposed a new concept of environmental stability with ecological and environmental protection concepts and gave it a new connotation, established an environmental stability evaluation index system for decommissioned uranium tailings ponds through index screening by using rough set theory, comprehensively considered the influence of environmental factors such as external wastewater and exhaust gas, and realized the multifactor. The system of evaluation indexes for the stability of decommissioned uranium tailings ponds was established by combining multiple factors, and the long-term monitoring and modeling of the environmental stabilization process of decommissioned uranium tailings ponds was carried out by using mathematical methods. The results show that the RBFNN-GA algorithm can reduce the training error of the random radial basis function neural network, improve the generalization ability of the network, and make it capable of handling large data sets.
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