Application of multigene genetic programming and water evaporation optimization technique for modeling and optimization of removal of heavy metals from ash pond water using cyanobacterial consortium
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Biswajit Sarkar
Abstract
Heavy metals such as Lead(II), Nickel(II), Manganese(II), Cadmium(II), Chromium(VI), etc., are leached from the coal ash of thermal power plants. These metals contaminate ash pond water and subsequently contaminate groundwater. Phycoremediation using microalgae/cyanobacteria is an emerging technology for removal of heavy metals. The present study aims at phycoremediation of the said heavy metals from ash pond water using cyanobacterial consortium of Limnococcus limneticus and Leptolyngbya subtilis followed by the development of an accurate data-driven Multigene Genetic Programing (MGGP) approach for modeling and optimization of the process. The developed model was used to obtain a correlation between the average removal of metals and biomass production with all input factors such as the initial metal concentrations, pH, and days of incubation. To maximize metal removal and biomass production, the Water Evaporation Optimization (WEO) technique was applied to determine optimal values of input parameters. The application of WEO for the optimization of the phycoremediation process is the first of its kind and here lies the novelty of the study.
Acknowledgment
The authors sincerely acknowledge the computational and analytical instrumentation support received from DST-FIST, GOI by the Department of Chemical Engineering, National Institute of Technology, Durgapur, India.
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Research ethics: Not applicable.
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Author contributions: BS: Investigator and performed the process optimization, modeling and paper writing. SKL: Conceptualization, supervision, modeling, optimization, reviewing and final editing the paper thoroughly. SD: Conceptualization, supervision, reviewing and final editing the paper thoroughly.
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Competing interests: The authors declare that they do not have any conflict of interest.
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Research funding: The authors declare that they do not have any funding agency.
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Data availability: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
[1] G. Azeh Engwa, P. Udoka Ferdinand, F. Nweke Nwalo, and M. N. Unachukwu, Mechanism and Health Effects of Heavy Metal Toxicity in Humans, Poisoning Mod. World – New Tricks an Old Dog?, London, UK, IntechOpen, 2019.10.5772/intechopen.82511Search in Google Scholar
[2] B. Sarkar, S. Dutta, and S. K. Lahiri, “Modeling and optimization of phycoremediation of heavy metals from simulated ash pond water through robust hybrid artificial intelligence approach,” Journal of Chemometrics, vol. 36, no. 7, pp. 1–17, 2022. https://doi.org/10.1002/cem.3427.Search in Google Scholar
[3] T.-U. Sakib, S. Sultana, A. N. Ahmed, M. A. A. Khan, and M. S. Saha, “Water Quality of Coal Ash Pond and Its Impact on Adjoining Surface and Groundwater Systems,” American Journal of Water Resources, vol. 6, pp. 176–180, 2018, https://doi.org/10.12691/ajwr-6-4-5.Search in Google Scholar
[4] R. C. Bhangare, P. Y. Ajmal, S. K. Sahu, G. G. Pandit, and V. D. Puranik, “Distribution of trace elements in coal and combustion residues from five thermal power plants in India,” International Journal of Coal Geology, vol. 86, pp. 349–356, 2011, https://doi.org/10.1016/j.coal.2011.03.008.Search in Google Scholar
[5] D. A. K. Lokeshappa and A. K. Dikshit, “Fate of Metals in Coal Fly Ash Ponds,” International Journal of Environment and Sustainable Development, vol. 3, pp. 43–48, 2012. https://doi.org/10.7763/ijesd.2012.v3.185.Search in Google Scholar
[6] S. Dutta, A. Bhattacharyya, P. De, P. Ray, and S. Basu, “Removal of mercury from its aqueous solution using charcoal-immobilized papain (CIP),” Journal of Hazardous Materials, vol. 172, pp. 888–896, 2009, https://doi.org/10.1016/j.jhazmat.2009.07.085.Search in Google Scholar PubMed
[7] S. Sen, S. Dutta, S. Guhathakurata, J. Chakrabarty, S. Nandi, and A. Dutta, “Removal of Cr(VI) using a cyanobacterial consortium and assessment of biofuel production,” International Biodeterioration & Biodegradation, vol. 119, pp. 211–224, 2017, https://doi.org/10.1016/j.ibiod.2016.10.050.Search in Google Scholar
[8] D. Kaloudas, N. Pavlova, and R. Penchovsky, “Phycoremediation of wastewater by microalgae : a review,” Environmental Chemistry Letters, vol. 19, pp. 2905–2920, 2021, https://doi.org/10.1007/s10311-021-01203-0.Search in Google Scholar
[9] A. Rai, A. Sen, B. Sarkar, J. Chakrabarty, B. K. Mondal, and S. Dutta, “Phycoremediation of pollutants from secondary treated coke-oven wastewater using poultry litter as nutrient source: A cost-effective polishing technique,” Water Science and Technology, vol. 84, pp. 2406–2421, 2021, https://doi.org/10.2166/wst.2021.433.Search in Google Scholar PubMed
[10] B. Sarkar, S. Sen, S. Dutta, and S. K. Lahiri, “Application of multi – gene genetic programming technique for modeling and optimization of phycoremediation of Cr (VI) from wastewater,” Beni-Suef Univ. J. Basic Appl. Sci., vol. 12, pp. 1–17, 2023. https://doi.org/10.1186/s43088-023-00365-w.Search in Google Scholar
[11] B. Grosman and D. R. Lewin, “Automated nonlinear model predictive control using genetic programming,” Computers & Chemical Engineering, vol. 26, pp. 631–640, 2002, https://doi.org/10.1016/S0098-1354(01)00780-3.Search in Google Scholar
[12] A. Kaveh and T. Bakhshpoori, “Water Evaporation Optimization : A novel physically inspired optimization algorithm,” Computers & Structures, vol. 167, pp. 69–85, 2016 https://doi.org/10.1016/j.compstruc.2016.01.008.Search in Google Scholar
[13] S. Sen, A. Rai, J. Chakrabarty, S. K. Lahiri, and S. Dutta, Parametric Modeling and Optimization of Phycoremediation of Cr(VI) Using Artificial Neural Network and Simulated Annealing, Singapore, Springer Nature, 2021.10.1007/978-981-15-7518-1_6Search in Google Scholar
[14] J. R. Koza and J. P. Rice, Genetic Programming: The Movie, Cambridge, MA (Massachusetts), USA, The MIT Press, 1992.Search in Google Scholar
[15] J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, John R. Koza, A Bradford Book, MIT Press, Cambridge, 1992, pp. xiv + 819, US%55.00, 1994.Search in Google Scholar
[16] N. Choudhary, B. Singh, and G. Bagaria, “Genetic Programming: A study on,” Computer Language, vol. 3, pp. 203–207, 2014.Search in Google Scholar
[17] E. S. Salama, H. S. Roh, S. Dev, et al., “Algae as a green technology for heavy metals removal from various wastewater,” World Journal of Microbiology and Biotechnology, vol. 35, pp. 1–19, 2019. https://doi.org/10.1007/s11274-019-2648-3.Search in Google Scholar PubMed
[18] D. P. Searson, D. E. Leahy, and M. J. Willis, “GPTIPS: An open source genetic programming toolbox for multigene symbolic regression,” in Proc. Int. MultiConference Eng. Comput. Sci. 2010, IMECS 2010 I, 2010, pp. 77–80.Search in Google Scholar
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/ijcre-2023-0105).
© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
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Articles in the same Issue
- Frontmatter
- Review
- Research progress and perspectives of biogas production from municipal organic solid waste
- Articles
- Application of multigene genetic programming and water evaporation optimization technique for modeling and optimization of removal of heavy metals from ash pond water using cyanobacterial consortium
- Simulation study of reactive distillation process for synthesis of dimethyl maleate
- Analysis of flow field characteristics of the three-dimensional staggered rotor and its influence on structural parameters in the wiped film molecular distillation
- Porous biochar production from pyrolysis of corn straw in a microwave heated reactor
- CFD simulation for comparative of hydrodynamic effects in biochemical reactors using population balance model with varied inlet gas distribution profiles
- Hydrothermal precipitation of hematite from the model solution of zinc hydrometallurgical extraction
- Sorption-catalysis-enhanced effects of crab shell derived CaO-based biochar addition on the pyrolysis of waste cooking oil fried sludge
- Optimization and kinetics study for the conversion of furfuryl alcohol towards ethyl levulinate using sulfonic acid functionalized catalyst
- Short Communications
- Determination of steady states of tank and recycle tubular reactors using homotopy and parametric continuation methods
