Dissertation_Presentation made by kailash.pptx

I analytics the air pollution concentration in Delhi

1. Use of h igh - r esolution A erosol O ptical D epth for i dentification of f ine p articulates and l ocal l evel p ollution s ources in a mbient e nvironment of Delhi Dissertation Overview Kailash June 2024 Central University of Haryana

2. Introduction Air pollution is a critical issue worldwide, especially in urban areas. Delhi faces severe air pollution, impacting health and environment. Studying high-resolution AOD can help identify fine particulates and local pollution sources.

3. Objectives Main Objective: Understand the effect of stubble burning on AOD values and Black Carbon concentration. Specific Objectives: 1. Analyze AOD values from MODIS for different months. 2. Study black carbon surface mass concentration from MERRA-2. 3. Develop a statistical model to predict ground-level BC concentration.

4. Study Area Location: Delhi, India Delhi is the capital city with a significant pollution problem. Geographic and demographic information about Delhi. [Insert map of Delhi]

5. Literature Review Previous studies on AOD and particulate matter. Key findings on the impact of stubble burning. Research gaps identified in existing literature. Your study's contribution to filling these gaps.

6. Methodology Data Collection: MODIS: Accessed through LAADS DAAC. MERRA-2: Black carbon data. Fire data during stubble burning periods. Data Processing: Steps for processing AOD values and black carbon data. Handling and analyzing fire data. Statistical Models: Machine learning algorithms used. Statistical approaches for data analysis.

7. Data Collection Sources: LAADS DAAC: High-resolution AOD data. GIOVANNI: Access and types of data utilized in the study. Process: Steps to access and preprocess the data for analysis.

8. Data Processing Steps: 1. Processing AOD values for different months. 2. Processing black carbon surface mass concentration from MERRA-2. 3. Analyzing fire data during the stubble burning period.

9. Statistical Models and Approach Data Visualization: Techniques used to visualize AOD and black carbon data. Trend and Correlation Analysis: Methods applied to study trends and correlations in the data.

10. Results and Discussion - AOD Analysis Monthly Variation: Graphs showing AOD values for different months. Trend Analysis: Key findings from the trend analysis of AOD data. [Insert relevant graphs/charts]

11. Results and Discussion - Black Carbon Analysis MERRA-2 Data: Analysis of black carbon concentration data. Impact of Stubble Burning: Relationship between fire counts and black carbon levels. [Insert relevant graphs/charts]

12. Statistical Model Results Regression Model: Summary of the regression model used to predict ground-level BC concentration. Key Findings: Significant results from the statistical model. [Insert relevant graphs/charts]

13. Conclusion Summary: Recap of main findings from the study. Implications: Implications of the study for air quality management in Delhi. Future Work: Suggestions for further research in the field.

14. Acknowledgments Acknowledge your supervisor, CSIR-NEERI, Central University of Haryana, and others who contributed to your research.

15. References List of key references and citations used in your dissertation.