Finally, it is time to end up the discussion by looking at the most important issue of all, i.e. cost. It is extremely important to give a keen thought to the cost issue for wastewater treatment. Machine learning has been uniquely deployed (Torregrossa et al. 2018) for efficient energy cost modeling for wastewater treatment plants. The researchers have innovatively proposed cost as a parameter to evaluate the performance of the system.
Thus, these technologies ensure that performance is accurately predicted and assists in ensuring that efforts are made to deal with issues in advance. Machine learning generates innovative visions that can be used as evidence for future research on scheduling the distribution of the water resources
1.5 Conclusion
The presence of selenium in plants has been modeled to show a tight borderline limit between nutritious prerequisite and toxic supplement. The steep dose response curve caused by the bioaccumulation properties of selenium have led to the description of this element as a “tinderbox.” Water treatment for selenium removal is a component of successful selenium management strategy. Several technologies have been used by countries for selenium removal. There is a noticeable evolutionary role played by machine learning and artificial intelligence techniques in modeling and estimating the parameters contributing to efficient performance of systems.
At this stage, benchmarking plays a significant role in assessing the performance of technologies in terms of their value proposition, environmental impacts (following the principle of clean technology with proper treatment of sludge as product obtained) or, in other words, satisfying all the components of ASSURED analysis: A (Affordable), S (Scalable), S (Sustainable), U (Universal), R (Rapid), E (Excellent), D (Distinctive). A credible benchmarking by assessing the technologies based on the ASSURED parameters will help to screen technology which is more capable of being replicable, non‐disruptive, and scalable.
Acknowledgment
The authors are thankful to the Director, CSIR‐NISTADS, Management of Sinhgad Technical Education Society, Pune, and Management of IIS (deemed to be University), Jaipur for their continuous support and guidance in carrying out this research work.
Conflict of Interest
The authors do not have a conflict of interest.
References
1 Aman, N., Mishra, T., Hait, J., and Jana, R. (2011). Simultaneous photoreductive removal of copper (II) and selenium (IV) under visible light over spherical binary oxide photocatalyst. Journal of Hazardous Materials 186 (1): 360–366.
2 Amthor, J. (2001). Effects of atmospheric CO2 concentration on wheat yield: review of results from experiments using various approaches to control CO2 concentration. Field Crops Research 73 (1): 1–34.
3 Bañuelos, G., Arroyo, I., Pickering, I. et al. (2015). Selenium biofortification of broccoli and carrots grown in soil amended with Se‐enriched hyperaccumulator Stanleyapinnata. Food Chemistry 166: 603–608.
4 Brown, G.E., Foster, A.L., and Ostergren, J.D. (1999). Mineral surfaces and bioavailability of heavy metals: a molecular‐scale perspective. Proceedings of the National Academy of Sciences 96 (7): 3388–3395.
5 Camarinha‐Matos, L. and Martinelli, F. (1998). Application of machine learning in water distribution networks. Intelligent Data Analysis 2 (4): 311–332.
6 Das, D., Chatterjee, A., Mandal, B. et al. (1995). Arsenic in ground water in six districts of West Bengal, India: the biggest arsenic calamity in the world. Part 2. Arsenic concentration in drinking water, hair, nails, urine, skin‐scale and liver tissue (biopsy) of the affected people. The Analyst 120 (3): 917.
7 Dentel, S.K. (1995). Use of the streaming current detector in coagulation monitoring and control. Aqua‐Journal of Water Supply: Research and Technology 44 (2): 70–79.
8 Dhillon, K. and Dhillon, S. (1991). Selenium toxicity in soils, plants and animals in some parts of Punjab, India. International Journal of Environmental Studies 37 (1–2): 15–24.
9 Dhillon, K. and Dhillon, S. (2000). Selenium accumulation by sequentially grown wheat and rice as influenced by gypsum application in a seleniferous soil. Plant and Soil 227 (1–2): 243–248.
10 Dhillon, S. and Dhillon, K. (2003). Quality of underground water and its contribution towards selenium enrichment of the soil – plant system for a Seleniferous region of Northwest India. Journal of Hydrology 272 (1–4): 120–130.
11 Dhillon, K., Dhillon, S., and Dogra, R. (2010). Selenium accumulation by forage and grain crops and volatilization from seleniferous soils amended with different organic materials. Chemosphere 78 (5): 548–556.
12 Eapen, S. and D'Souza, S.F. (2005). Prospects of genetic engineering of plants for phytoremediation of toxic metals. Biotechnology Advances 23 (2): 97–114.
13 Elmolla, E. and Chaudhuri, M. (2010). Photocatalytic degradation of amoxicillin, ampicillin and cloxacillin antibiotics in aqueous solution using UV/TiO2 and UV/H2O2/TiO2 photocatalysis. Desalination 252 (1–3): 46–52.
14 El‐Shafey, E. (2007). Removal of Se(IV) from aqueous solution using sulphuric acid‐treated peanut shell. Journal of Environmental Management 84 (4): 620–627.
15 Finkelman, R.B. and Stracher, G.B. (2011). Environmental and health impacts of coal fires. Coal and Peat Fires: A Global Perspective: Coal – Geology and Combustion 1: 115–125.
16 Ghosh, A., Mohod, A.M., Paknikar, K.M., and Jain, R.K. (2008). Isolation and characterization of selenite‐and selenate‐tolerant microorganisms from selenium‐contaminated sites. World Journal of Microbiology and Biotechnology 24 (8): 1607–1611.
17 Gibson, B., Blowes, D., Lindsay, M., and Ptacek, C. (2012). Mechanistic investigations of Se(VI) treatment in anoxic groundwater using granular iron and organic carbon: an EXAFS study. Journal of Hazardous Materials 241: 92–100.
18 Grätzel, M. (2009). Recent advances in sensitized mesoscopic solar cells. Accounts of Chemical Research 42 (11): 1788–1798.
19 Guo, L., Xiao, J., Liu, H., and Liu, H. (2020). Selenium nanoparticles alleviate hyperlipidemia and vascular injury in ApoE‐deficient mice by regulating cholesterol metabolism and reducing oxidative stress. Metallomics 12 (2): 204–217.
20 Gupta, U.C. and Gupta, S.C. (1998). Trace element toxicity relationships to crop production and livestock and human health: implications for management. Communications in Soil Science and Plant Analysis 29 (11–14): 1491–1522.
21 Haghiabi, A., Nasrolahi, A., and Parsaie, A. (2018). Water quality prediction using machine learning methods. Water Quality Research Journal 53 (1): 3–13.
22 Hasan, S., Ranjan, D., and Talat, M. (2010). Agro‐industrial waste &c.tcomab;wheat bran' for the biosorptive remediation of selenium through continuous up‐flow fixed‐bed column. Journal of Hazardous Materials 181 (1–3): 1134–1142.
23 Hu, C., Chen, Q., Chen, G. et al. (2015). Removal of Se(IV) and Se(VI) from drinking water by coagulation. Separation and Purification Technology 142: 65–70.
24 Jiang, K., Zhou, K., Yang, Y., and Du, H. (2013). A pilot‐scale study of cryolite precipitation from high fluoride‐containing wastewater in a reaction‐separation integrated reactor. Journal of Environmental Sciences 25 (7): (1331–13)37.
25 Khan, M.I., Cheema, S.A., Anum, S. et al. (2020a). Phytoremediation of agricultural pollutants. In: Phytoremediation (ed. B.R. Shmaefsky), 27–81. Cham: Springer.
26 Khan, M., Shaheen, S., Ali, S. et al. (2020b). In situ phytoremediation of metals. In: Phytoremediation (ed. B.R. Shmaefsky), 103–121. Cham: Springer.
27 Kipp, A.P., Strohm, D., Brigelius‐Flohé, R. et al. (2015). Revised reference values for selenium intake. Journal of Trace Elements in Medicine and Biology 32: 195–199.
28 Kuan,