Statistical Model for Tube Settler Clarifier at Different Operational Conditions
The present study aimed to find a relationship between turbidity removal percent in tube settler clarifier and independent variables (tube inclination, alum dosage, and surface loading rate) by constructing a statistical model and categorizing these explanatory variables according to their impact on...
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| Format: | Article |
| Language: | English |
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Technoscience Publications
2023-03-01
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| Series: | Nature Environment and Pollution Technology |
| Subjects: | |
| Online Access: | https://neptjournal.com/upload-images/(49)D-1420.pdf |
| _version_ | 1827990653208887296 |
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| author | Abdulmuhsin S. Shihab and Aladdin M. Ahmad |
| author_facet | Abdulmuhsin S. Shihab and Aladdin M. Ahmad |
| author_sort | Abdulmuhsin S. Shihab and Aladdin M. Ahmad |
| collection | DOAJ |
| description | The present study aimed to find a relationship between turbidity removal percent in tube settler clarifier and independent variables (tube inclination, alum dosage, and surface loading rate) by constructing a statistical model and categorizing these explanatory variables according to their impact on turbidity removal percentage. A pilot scale of tube settlers was designed and fabricated to conduct the experiments. It consisted of a coagulation and flocculation basin, pre-tube settler chamber, and tube settler. Alum was used to coagulate the Tigris river raw water at different dosages. After flocculation, water is transferred to the pre-tube settler chamber and flows through the tube settler. It consists of four tubes of square section, 4 centimeters in diameter, with the flexibility of changing tube length and inclination angle to obtain different levels of surface loading rate. More than 120 experiments were conducted, and the results were analyzed statistically. A regression model was found with a coefficient of determination of 0.802 between turbidity removal percentage as a dependent variable and each tube inclination, alum dosage, and surface loading rate as independent variables. The model is considered good as the model’s relationship between actual and predicted values has a slope of one and a constant near zero. Surface loading rate has the highest effect on turbidity removal percentage with 4.44 times that of inclination angle and 2.5 times for the optimum alum dosage model. The study concluded that the linear model is suitable to represent the performance of tube settlers at optimum alum dosage. |
| first_indexed | 2024-04-10T00:38:47Z |
| format | Article |
| id | doaj.art-aec442af4af447f880e16df9ee2a7a0f |
| institution | Directory Open Access Journal |
| issn | 0972-6268 2395-3454 |
| language | English |
| last_indexed | 2024-04-10T00:38:47Z |
| publishDate | 2023-03-01 |
| publisher | Technoscience Publications |
| record_format | Article |
| series | Nature Environment and Pollution Technology |
| spelling | doaj.art-aec442af4af447f880e16df9ee2a7a0f2023-03-14T08:57:23ZengTechnoscience PublicationsNature Environment and Pollution Technology0972-62682395-34542023-03-0122150350910.46488/NEPT.2023.v22i01.049Statistical Model for Tube Settler Clarifier at Different Operational ConditionsAbdulmuhsin S. Shihab and Aladdin M. AhmadThe present study aimed to find a relationship between turbidity removal percent in tube settler clarifier and independent variables (tube inclination, alum dosage, and surface loading rate) by constructing a statistical model and categorizing these explanatory variables according to their impact on turbidity removal percentage. A pilot scale of tube settlers was designed and fabricated to conduct the experiments. It consisted of a coagulation and flocculation basin, pre-tube settler chamber, and tube settler. Alum was used to coagulate the Tigris river raw water at different dosages. After flocculation, water is transferred to the pre-tube settler chamber and flows through the tube settler. It consists of four tubes of square section, 4 centimeters in diameter, with the flexibility of changing tube length and inclination angle to obtain different levels of surface loading rate. More than 120 experiments were conducted, and the results were analyzed statistically. A regression model was found with a coefficient of determination of 0.802 between turbidity removal percentage as a dependent variable and each tube inclination, alum dosage, and surface loading rate as independent variables. The model is considered good as the model’s relationship between actual and predicted values has a slope of one and a constant near zero. Surface loading rate has the highest effect on turbidity removal percentage with 4.44 times that of inclination angle and 2.5 times for the optimum alum dosage model. The study concluded that the linear model is suitable to represent the performance of tube settlers at optimum alum dosage.https://neptjournal.com/upload-images/(49)D-1420.pdftube settler, surface loading rate, tube inclination angle, statistical model, regression analysis, high rate sedimentation |
| spellingShingle | Abdulmuhsin S. Shihab and Aladdin M. Ahmad Statistical Model for Tube Settler Clarifier at Different Operational Conditions Nature Environment and Pollution Technology tube settler, surface loading rate, tube inclination angle, statistical model, regression analysis, high rate sedimentation |
| title | Statistical Model for Tube Settler Clarifier at Different Operational Conditions |
| title_full | Statistical Model for Tube Settler Clarifier at Different Operational Conditions |
| title_fullStr | Statistical Model for Tube Settler Clarifier at Different Operational Conditions |
| title_full_unstemmed | Statistical Model for Tube Settler Clarifier at Different Operational Conditions |
| title_short | Statistical Model for Tube Settler Clarifier at Different Operational Conditions |
| title_sort | statistical model for tube settler clarifier at different operational conditions |
| topic | tube settler, surface loading rate, tube inclination angle, statistical model, regression analysis, high rate sedimentation |
| url | https://neptjournal.com/upload-images/(49)D-1420.pdf |
| work_keys_str_mv | AT abdulmuhsinsshihabandaladdinmahmad statisticalmodelfortubesettlerclarifieratdifferentoperationalconditions |