Modeling of Head Loss through Deep Bed Sand Filters.
Mahanna, H., Fouad, M., Radwan, K., Elgamal, H. (2020). Modeling of Head Loss through Deep Bed Sand Filters.. EKB Journal Management System, 40(4), 1-10. doi: 10.21608/bfemu.2020.102444
Hani Mahanna; Moharram Fouad; Kamal Radwan; Hoda Elgamal. "Modeling of Head Loss through Deep Bed Sand Filters.". EKB Journal Management System, 40, 4, 2020, 1-10. doi: 10.21608/bfemu.2020.102444
Mahanna, H., Fouad, M., Radwan, K., Elgamal, H. (2020). 'Modeling of Head Loss through Deep Bed Sand Filters.', EKB Journal Management System, 40(4), pp. 1-10. doi: 10.21608/bfemu.2020.102444
Mahanna, H., Fouad, M., Radwan, K., Elgamal, H. Modeling of Head Loss through Deep Bed Sand Filters.. EKB Journal Management System, 2020; 40(4): 1-10. doi: 10.21608/bfemu.2020.102444

Modeling of Head Loss through Deep Bed Sand Filters.

MEJ- Mansoura Engineering Journal
Article 21, Volume 40, Issue 4, December 2015, Page 1-10  XML PDF (976.44 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.102444
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Authors
Hani Mahanna email 1; Moharram Fouad2; Kamal Radwan2; Hoda Elgamal3
1Teaching Assistant, Public Works Dept.,Faculty of engineering,Mansoura University, Egypt
2Associate Professor, Public Works Dept.,Faculty of engineering,Mansoura University, Egypt.
3Professor, Public Works Dept.,Faculty of engineering,Mansoura University, Egypt.
Abstract
Filtration is the main process in water treatment plant. In this process the water passing through some porous media (sand) to remove the suspended solids and impurities. In the beginning of filtration process, the head loss is small and it can be easily calculated by different empirical equations, but as the filter bed gets clogged, the head loss increases. The pilot plant was installed in sanitary engineering laboratory, Mansoura University. The operating conditions have five explanatory parameters. These parameters are filter depth, filtration rate, run time, influent turbidity, and alum dose. The filter depth was ranged from 80 to 140 cm and alum dose were ranged from 20 to 50 mg/lit. The rate of filtration was used in the range from 4 to 8 m/hr and the initial turbidities varied from 10 to 50 NTU. A mathematical model was obtained for head loss through deep bed sand filter with various operating conditions (filter depth, filtration rate, alum dose, run time, and initial turbidity).The proposed model yield highly accurate results with correlation coefficient (R2) of 0.88. The proposed model showed that the most significant parameters on predicted head loss are the run time and filtration rate. Also, the simple proposed model can be easily and effectively used as a decision supporting tool for prediction of filtration run length.
Keywords
Deep bed filters; Head Loss; Filtration Rate
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