Modelling turbidity removal by poly-aluminium chloride coagulant using gene expression

Alsaeed, Ruba

doi:10.22104/aet.2022.5303.1433

Modelling turbidity removal by poly-aluminium chloride coagulant using gene expression

Document Type : Research Paper

Author

Ruba Alsaeed

Faculty of Civil Engineering, Al-Wataniya Private University, Hama, Syria

10.22104/aet.2022.5303.1433

Abstract

Coagulants are used in drinking water treatment plants to increase the size of particles and to help make them bigger and more able to settle at the later stages of the process. Poly-aluminium Chloride (PACL) was used in this study to evaluate its coagulation effectivity in different conditions. Three sets of experiments were done to determine the relationship between some raw water characteristics, including raw turbidity level, pH, and the temperature with optimum doses of PACL, in order to form a mathematical equation that could predict the removal effectivity. The experiments were performed under different seasonal circumstances. Four levels of turbidity were studied, 10, 50, 100, 150 NTU, with six different PACL doses from 5 to 35 mg/L. The results were used to build up a gene expression model (GEP). The GEP model gave very good results with a correlation coefficient equals to (0.91), and a root mean square error of 0.046.

Keywords

Main Subjects

water and wastewater treatment

References

1] Haghiri, S., Daghighi, A., Moharramzadeh, S.(2018). “Optimum coagulant forecasting by modeling jar test experiments using ANNs”. Drinking water engineering and science, 11(1), 1-8.

[2] Onyelowe, K. C., Jalal, F. E., Onyia, M. E., Onuoha, I. C., Alaneme, G. U. (2021). Application of gene expression programming to evaluate strength characteristics of hydrated-lime-activated rice husk ash-treated expansive soil. Applied computational intelligence and soft computing, 1-17.

[3] ABIDEEN, M. B. Z. (2016). “Optimization of coagulation process in water treatment plant using statistical approach”. Ph.D. dissertation, Universiti Teknologi Malaysia.‏

[4] Zemmouri, H., Drouiche, M., Sayeh, A., Lounici, H., Mameri, N. (2012). Coagulation flocculation test of Keddara's water dam using chitosan and sulfate aluminum. Procedia engineering, 33, 254-260.

[5] Alshikh, O. (2007). Parameters affecting coagulation/flocculation of drinking water under cold temperatures. University of Windsor (thesis), Canada.

[6] Zouboulis, A., Traskas, G., Samaras, P. (2008). Comparison of efficiency between poly‐aluminum chloride and aluminum sulphate coagulants during full‐scale experiments in a drinking water treatment plant. Separation science and technology, 43(6), 1507-1519.

[7] Liu, W. (2016). Enhancement of coagulant dosing control in water and wastewater treatment processes.‏ Ph.D. dissertation, Norwegian University of Life Sciences.

[8] Wei, N., Zhang, Z., Liu, D., Wu, Y., Wang, J., Wang, Q. (2015). “Coagulation behavior of polyaluminum chloride: Effects of pH and coagulant dosage”. Chinese journal of chemical Engineering, 23(6), 1041-1046.

[9] Tantipalakul, Y., Palawatwichai, K., Detchakan, T., & Khaisan, J. (2018). “The study of optimal coagulants for water treatment process of Metropolitan Waterworks Authority”. Burapha science journal, 23(1), 207-220.

[10] Almatin, E., Gholipour, A. (2019). Estimating of optimal dose of PACL for turbidity removing from water. arXiv e-print, arXiv:1904.06421.

[11] Al-Baidhani, J. H., Alameedee, M. A. (2017). Optimal alum dosage prediction required to treat effluent water turbidity using artificial neural network. International journal of current engineering and technology, 7(4), 1552-1558.

[12] Alsaeed, R., Alaji, B., Ebrahim, M. (2021). Predicting turbidity and Aluminum in drinking water treatment plants using Hybrid Network (GA-ANN) and GEP. Drinking water engineering and science discussions, 1-17.