Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation
The combined use of the Radial Basis Function Network (RBFN) model with pretreated seawater by biomineralization (BSw) was investigated as an approach to improve copper tailings flocculation for mining purposes. The RBFN was used to set the optimal ranges of Ca<sup>2+</sup> and Mg<sup...
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MDPI AG
2020-07-01
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| Series: | Minerals |
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| Online Access: | https://www.mdpi.com/2075-163X/10/8/676 |
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| author | Grecia Villca Dayana Arias Ricardo Jeldres Antonio Pánico Mariella Rivas Luis A. Cisternas |
| author_facet | Grecia Villca Dayana Arias Ricardo Jeldres Antonio Pánico Mariella Rivas Luis A. Cisternas |
| author_sort | Grecia Villca |
| collection | DOAJ |
| description | The combined use of the Radial Basis Function Network (RBFN) model with pretreated seawater by biomineralization (BSw) was investigated as an approach to improve copper tailings flocculation for mining purposes. The RBFN was used to set the optimal ranges of Ca<sup>2+</sup> and Mg<sup>2+</sup> concentration at different Ph in artificial seawater to optimize the performance of the mine tailings sedimentation process. The RBFN was developed by considering Ca<sup>2+</sup> and Mg<sup>2+</sup> concentration as well as pH as input variables, and mine tailings settling rate (Sr) and residual water turbidity (T) as output variables. The optimal ranges of Ca<sup>2+</sup> and Mg<sup>2+</sup> concentration were found, respectively: (i) 169–338 and 0–130 mg·L<sup>−1</sup> at pH 9.3; (ii) 0–21 and 400–741 mg·L<sup>–1</sup> at pH 10.5; (iii) 377–418 and 703–849 mg·L<sup>−1</sup> at pH 11.5. The settling performance predicted by the RBFN was compared with that measured in raw seawater (Sw), chemically pretreated seawater (CHSw), BSw, and tap water (Tw). The results highlighted that the RBFN model is greatly useful to predict the settling performance in CHSw. On the other hand, the highest Sr values (i.e., 5.4, 5.7, and 5.4 m·h<sup>–1</sup>) were reached independently of pH when BSw was used as a separation medium for the sedimentation process. |
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| issn | 2075-163X |
| language | English |
| last_indexed | 2024-03-10T18:06:17Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Minerals |
| spelling | doaj.art-8ad034d78b3544f28d82d578ae726a952023-11-20T08:30:32ZengMDPI AGMinerals2075-163X2020-07-0110867610.3390/min10080676Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings FlocculationGrecia Villca0Dayana Arias1Ricardo Jeldres2Antonio Pánico3Mariella Rivas4Luis A. Cisternas5Departamento de Ingeniería Química y Procesos de Minerales, Universidad de Antofagasta, Av. Universidad de Antofagasta, 02800 Antofagasta, ChileDepartamento de Ingeniería Química y Procesos de Minerales, Universidad de Antofagasta, Av. Universidad de Antofagasta, 02800 Antofagasta, ChileDepartamento de Ingeniería Química y Procesos de Minerales, Universidad de Antofagasta, Av. Universidad de Antofagasta, 02800 Antofagasta, ChileTelematic University Pegaso, Piazza Trieste e Trento 48, 80132 Naples, ItalyDepartamento de Biotecnología, Facultad de Ciencias del Mar y Recursos Biológicos (FACIMAR), Universidad de Antofagasta, Av. Universidad de Antofagasta, 02800 Antofagasta, ChileDepartamento de Ingeniería Química y Procesos de Minerales, Universidad de Antofagasta, Av. Universidad de Antofagasta, 02800 Antofagasta, ChileThe combined use of the Radial Basis Function Network (RBFN) model with pretreated seawater by biomineralization (BSw) was investigated as an approach to improve copper tailings flocculation for mining purposes. The RBFN was used to set the optimal ranges of Ca<sup>2+</sup> and Mg<sup>2+</sup> concentration at different Ph in artificial seawater to optimize the performance of the mine tailings sedimentation process. The RBFN was developed by considering Ca<sup>2+</sup> and Mg<sup>2+</sup> concentration as well as pH as input variables, and mine tailings settling rate (Sr) and residual water turbidity (T) as output variables. The optimal ranges of Ca<sup>2+</sup> and Mg<sup>2+</sup> concentration were found, respectively: (i) 169–338 and 0–130 mg·L<sup>−1</sup> at pH 9.3; (ii) 0–21 and 400–741 mg·L<sup>–1</sup> at pH 10.5; (iii) 377–418 and 703–849 mg·L<sup>−1</sup> at pH 11.5. The settling performance predicted by the RBFN was compared with that measured in raw seawater (Sw), chemically pretreated seawater (CHSw), BSw, and tap water (Tw). The results highlighted that the RBFN model is greatly useful to predict the settling performance in CHSw. On the other hand, the highest Sr values (i.e., 5.4, 5.7, and 5.4 m·h<sup>–1</sup>) were reached independently of pH when BSw was used as a separation medium for the sedimentation process.https://www.mdpi.com/2075-163X/10/8/676calciummagnesiumRadial Basis Function Network (RBFN)settling rateturbiditybiomineralization |
| spellingShingle | Grecia Villca Dayana Arias Ricardo Jeldres Antonio Pánico Mariella Rivas Luis A. Cisternas Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation Minerals calcium magnesium Radial Basis Function Network (RBFN) settling rate turbidity biomineralization |
| title | Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation |
| title_full | Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation |
| title_fullStr | Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation |
| title_full_unstemmed | Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation |
| title_short | Use of Radial Basis Function Network to Predict Optimum Calcium and Magnesium Levels in Seawater and Application of Pretreated Seawater by Biomineralization as Crucial Tools to Improve Copper Tailings Flocculation |
| title_sort | use of radial basis function network to predict optimum calcium and magnesium levels in seawater and application of pretreated seawater by biomineralization as crucial tools to improve copper tailings flocculation |
| topic | calcium magnesium Radial Basis Function Network (RBFN) settling rate turbidity biomineralization |
| url | https://www.mdpi.com/2075-163X/10/8/676 |
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