Data optimisation coagulation floculation

Published: 9 December 2024| Version 1 | DOI: 10.17632/j483db9gdb.1
Contributor:
Anass OMOR

Description

Description of Data for Coagulation-Flocculation Optimization Data from coagulation-flocculation optimization consists of experimental measurements aimed at evaluating and improving the efficiency of the process for treating specific effluents. These data include the variables influencing the process, the parameters measured, and the results obtained. 1. Experimental Variables: • pH: Variation of the solution's pH to identify the optimal range. • Coagulant Dose: Quantity of coagulant used, expressed in mg/L or g/L. • Flocculant Dose: Quantity of flocculant used, expressed in mg/L. • Coagulation and Flocculation Times: Respective durations, typically in minutes. • Stirring Speed: Speed used during the coagulation and flocculation steps, expressed in rpm. 2. Measured Parameters: • Chemical Oxygen Demand (COD): Expressed in mg/L, evaluates the remaining organic load after treatment. • Sulfides (S²⁻): Measurement of sulfide ions in effluents, expressed in mg/L, to analyze their removal efficiency. 3. Typical Results: • Removal Percentages: Calculated for measured parameters, such as COD and sulfides, using the formula: Removal rate (%)=Ci−CfCi×100\text{Removal rate (\%)} = \frac{\text{Ci} - \text{Cf}}{\text{Ci}} \times 100Removal rate (%)=CiCi−Cf×100 Where Ci is the initial concentration and Cf is the final concentration after treatment. • Optimal Conditions Identified: Conditions such as pH, coagulant and flocculant doses, agitation time, and stirring speed that maximize the efficiency of the process. 4. Analysis Methodology: • Analysis of Variance (ANOVA): Used to assess the statistical impact of each parameter on removal performance. • Comparison with Standards or Norms: Evaluating the data against established standards to validate treatment efficiency. 5. Use of Data: • Process Optimization: Enhancing the efficiency of wastewater treatment processes. • Performance Comparison: Evaluating the effectiveness of different coagulants and flocculants. • Scientific Validation: Supporting research findings for publication and further studies.

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Institutions

Universite Sidi Mohamed Ben Abdallah

Categories

Global Optimization

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