Numerical_analysis_Methods of a research in waste water management.pptx

It is a research methodology on waste water analysis

1. Numeracy Calculus and Modelling E xtensive use of mathematics in modelling and solving differential equations from first principles in finding solutions for MESH equations for computational fluid dynamics (CFD) components of the project. Statistics and Tools At Inception , statistical tools are used to study literature review and operationalize the idea using variance, correlation and causation of changes or differences in the observed factors. In the Operational phase , design of experiments is then carried out to be able to screen factors and parameters in the case where one’s investigation involves multivariable, and this helps with avoidance of trial-and-error approach. The design of experiments entails that for every independent variable there needs to be a corresponding factor design. Beyond experimental designing, A nalysis of replicates of experiments and reports on error probability are generated. Key to note are measures of central tendency, variance (Chi-square, ANOVA, p-value, etc.), comparison and test on hypothesis (F, t and r tests) and establishment of correlations (β to be reported on regression methods, p-value). In presenting and explaining results, though difficult, proof of causality through confidence level reporting should be done since mere correlation do not prove causality.

2. Dye Wastewater pollution

3. Research Work Experimental Findings: Determined optimal catalyst dosage, reaction time, and pH for maximum efficiency. Comparison of degradation efficiency across different AOPs, with iron tourmaline demonstrating significant catalytic enhancement. Challenges Addressed: Ensured minimal sludge generation and efficient separation of treated water. Improved the stability and reuse potential of the iron tourmaline catalyst.

4. Methodology Key Steps : Catalyst Preparation: Synthesize and characterize iron tourmaline for its chemical and physical properties. Experimental Design: Set up treatment processes involving iron tourmaline with AOPs like Fenton’s reagent, UV-assisted photodegradation, and ozonation. Performance Monitoring: Analyze treated water for COD, BOD, color intensity, and pH. Catalyst Reusability Tests: Evaluate the long-term stability and reusability of iron tourmaline. AOPs Applied : Fenton’s reagent: Utilizes H 2 O 2 and iron ions for hydroxyl radical generation. UV-assisted photodegradation: Combines UV light with the catalyst for enhanced dye breakdown. Ozonation: Employs ozone gas for oxidation of organic pollutants.

5. Expected Results Outcomes : Achieve over 90% dye removal efficiency in synthetic wastewater. Significant reductions in COD and BOD levels, meeting regulatory discharge limits. Enhanced biodegradability of the effluent, facilitating further treatment. Environmental Impact : Reduction in aquatic toxicity and improved water quality. Development of a sustainable treatment process with reusable catalyst systems.

6. Application of Statistical tools(SPSS) Analysis Techniques : Regression Analysis: Identifies relationships between experimental variables (e.g., catalyst dosage, degradation rate). ANOVA (Analysis of Variance): Compares the performance of different AOP methods statistically. Descriptive Statistics: Provides summary measures such as mean, variance, and standard deviation for key parameters. Visualization Tools : Use of graphs, charts, and trend lines to illustrate results. Software Used : Tools such as SPSS, Microsoft Excel and Origin Pro for data handling and visualization.

7. THANK YOU ！