International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Zainb Abd alelah Abd Alateef, Fatma Abd Alemam Jyad, Maha Atta Faroon, Ahmed Naseh Ahmed Hamdan*

Department of Civil Engineering, College of Engineering, University of Basrah, Basrah 61001, Iraq

 

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ABSTRACT

Response Surface Methods (RSM) and desirability functions are good examples of data-based multivariate methods that can be used to study coagulation treatment optimization. This study examined and optimized the efficacy of turbidity reduction, under the operating conditions of initial turbidity Tin (50–200 NTU), pH (5–9), and alum dose (50–250 mg/L) for two types of fan (two paddles and four paddles) using Face-Centered Central Composite Design F-CCCD of RSM. The experimental results of F-CCCD were fitted to the second-order quadratic model for the two types of fans in order to formulate the impacts of each element and their interactions on the response of interest in a mathematical connection. The results showed that at optimal operating conditions for a fan with two paddles of Tin, pH and alum dose of 87.76 NTU, 8.86 and 170.43 mg/L, respectively, the predicted values of turbidity removal efficiency (E%) was 85.92% and for four paddles fan type when Tin, pH and alum dose of 156.58 NTU, 8.93, and 138.7 mg/L, respectively, the predicted values of turbidity removal efficiency (E%) was 93.71, with the desirability of 1.000. This study showed how well F-CCCD works with a desirability function to find the best conditions for the process (Tin, pH, and alum dosage) of coagulation for the turbidity removal efficiency E%. A four-paddle fan type provided the best removal efficiency. Instead of jar testing, drinking water treatment companies might utilize the findings of this study as a starting point for their work.


Keywords: Flocculation, Efficiency removal, Coagulation, Central composite design, Response surface method, Optimization network (ANN).


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REFERENCES

  1. Alam, M.M., Alam, M.Z., Jami, M.S., Amosa, M.K., Iwata, M. 2016. Study of the effects of process parameters on electroforced sedimentation in solid–liquid separation using response surface methodology. Waste Biomass Valorization, 7, 583–591.

  2. Camacho, F.P., Sousa, V.S., Bergamasco, R., Teixeira, M.R. 2017. The use of Moringa oleifera as a natural coagulant in surface water treatment. Chemical Engineering Journal, 313, 226–237.

  3. Ghafari, S., Aziz, H.A., Isa, M.H., Zinatizadeh, A.A. 2009. Application of response surface methodology (RSM) to optimize coagulation–flocculation treatment of leachate using poly-aluminum chloride (PAC) and alum. Journal of Hazardous Materials, 163, 650–656.

  4. Gasemloo, S., Khosravi, M., Sohrabi, M.R., Dastmalchi, S., Gharbani, P.J.J.O.C.P. 2019. Response surface methodology (RSM) modeling to improve removal of Cr (VI) ions from tannery wastewater using sulfated carboxymethyl cellulose nanofilter. 208, 736–742.

  5. Haji Alhaji, M., Sanaullah, K., Fong Lim, S., Ragai Henry Rigit, A., Hamza, A., Khan, A. 2017. Modeling and optimization of photocatalytic treatment of pre-treated palm oil mill effluent (POME) in a UV/TiO2 system using response surface methodology (RSM). Cogent Engineering, 4, 1382980.

  6. Kalavathy, S., Giridhar, M. 2016. A Study on the use of Alum for turbidity removal in Synthetic water. In 3rd National Conference on Water, Environment and Society (NCWES), 263–266.

  7. Kang, L.-S., Cleasby, J.L. 1995. Temperature effects on flocculation kinetics using Fe (III) coagulant. Journal of Environmental Engineering, 121, 893–901.

  8. Karchiyappan, T., Karri, R.R. 2021. Process optimization and modeling of hydraulic fracturing process wastewater treatment using aerobic mixed microbial reactor via response surface methodology. In Soft Computing Techniques in Solid Waste and Wastewater Management, 351–363.

  9. Miron, A.-R., Modrogan, C., Orbulet, O.D., Costache, C., Popescu, I. 2010. Treatment of acid blue 25 containing wastewaters by electrocoagulation. UPB Scientific Bulletin, Series B, 72, 93–100.

  10. Nayeri, D., Mousavi, S.A. 2020. Treatment of highly turbid water in disaster conditions using coagulation-flocculation process: Modeling and optimization. Water Quality Research Journal, 55, 358–369.

  11. Pal, S., Mukherjee, S., Ghosh, S. 2014. Optimum phenol sorption in peat by the response surface method. Environmental Geotechnics, 1, 142–151.

  12. Perec, A. 2021. Multiple response optimization of abrasive water jet cutting process using response surface methodology (RSM). Procedia Computer Science, 192, 931–940.

  13. Rachidi, L., Kaichouh, G., Khachani, M., Zarrouk, A., Karbane, M.E., Chakchak, H., Warad, I., Hourch, A.E.L., Kacemi, K.E., Guessous, A. 2021. Optimization and modeling of the electro-Fenton process for treatment of sertraline hydrochloride: Mineralization efficiency, energy cost and biodegradability enhancement. Chemical Data Collections, 35, 100764.

  14. Rohani, S., Went, J., Duvenhage, D.F., Gerards, R., Wittwer, C., Fluri, T. 2021. Optimization of water management plans for CSP plants through simulation of water consumption and cost of treatment based on operational data. Solar Energy, 223, 278–292.

  15. Salehi, Z., Vahabzadeh, F., Sohrabi, M., Fatemi, S., Znad, H.T. 2010. Statistical medium optimization and biodegradative capacity of ralstonia eutropha toward p-nitrophenol. Biodegradation, 21, 645–657.

  16. Senthil Kumar, P., Centhil, V., Kameshwari, R., Palaniyappan, M., Kalaivani, V.D., Pavithra, K.G. 2016. Experimental study on parameter estimation and mechanism for the removal of turbidity from groundwater and synthetic water using Moringa oleifera seed powder. Desalination Water Treatment, 57, 5488–5497.

  17. Shi, B., Wei, Q., Wang, D., Zhu, Z., Tang, H. 2007. Coagulation of humic acid: The performance of preformed and non-preformed Al species. Colloids Surfaces A: Physicochemical Engineering Aspects, 296, 141-148.

  18. Thirugnanasambandham, K., Sivakumar, V., Prakash Maran, J. 2015. Performance evaluation and optimization of electrocoagulation process to treat grey wastewater. Desalination Water Treatment, 55, 1703–1711.

  19. Trinh, T.K., Kang, L.S. 2010. Application of response surface method as an experimental design to optimize coagulation tests. Environmental Engineering Research, 15, 63–70.

  20. Usefi, S., Asadi-Ghalhari, M. 2019. Modeling and optimization of the coagulation–flocculation process in turbidity removal from aqueous solutions using rice starch. Pollution, 5, 623–636.

  21. Xiao, F., Huang, J.-C.H., Zhang, B.-J., Cui, C.-W. 2009. Effects of low temperature on coagulation kinetics and floc surface morphology using alum. Desalination, 237, 201–213.

  22. Zainal-Abideen, M., Aris, A., Yusof, F., Abdul-Majid, Z., Selamat, A., Omar, S. 2012. Optimizing the coagulation process in a drinking water treatment plant–comparison between traditional and statistical experimental design jar tests. Water Science Technology, 65, 496–503.


ARTICLE INFORMATION

Received: 2022-12-16
Revised: 2023-06-28
Accepted: 2023-10-07
Available Online: 2024-03-07


Cite this article:

Zainb Abd alelah Abd Alateef, Fatma Abd Alemam Jyad, Maha Atta Faroon, Ahmed Naseh Ahmed Hamdan 2024. Initial turbidity, pH, dosage of alum and paddles type optimization of efficiency removal by using response surface methods (RSM). International Journal of Applied Science and Engineering, 21, 2023087. https://doi.org/10.6703/IJASE.202403_21(1).010

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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