Air Quality Analysis During COVID Lockdown in Delhi, India

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Explore the impact of the COVID-19 lockdown on air quality in Delhi, India through data analysis and hypothesis testing. The study investigates the relationship between COVID cases and PM2.5 concentrations to understand the effects of reduced human activities on pollution levels.

  • Air quality
  • COVID lockdown
  • Delhi
  • India
  • Data analysis

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  1. Analysis of air quality during COVID lockdown in Delhi, India Presented by Ritika Sridharan

  2. Outline Introduction + Motivation Hypothesis Data analysis results Basic parameters LS regression Uncertainty analysis Time-series analysis

  3. Introduction and Motivation Delhi was the fourth most polluted city in the world in 2020 30% of Delhi residents have respiratory diseases [1] Amid the COVID-19 pandemic, a nationwide lockdown was imposed in India Lockdown period: 24th March to 31st May 2020 (in 3 phases) The result of such studies can be used as guidance for regulatory bodies to impose restrictions and improve the air quality Delhi, the world s most air polluted capital fights back (brookings.edu) [1] Mahato, S., Pal, S., & Ghosh, K. G. (2020). Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India.Science of the total environment,730, 139086.

  4. Hypothesis As COVID cases increase, people tend to stay at home and everything is virtual, so the pollution levels should reduce drastically Better air quality Are COVID and PM2.5 be inversely related?

  5. Data Analysis 1. Basic parameters

  6. Data Analysis 2. Linear least-squares regression Hypothesis: As COVID cases increase, PM2.5 concentration decreases due to lockdown implementations

  7. Data Analysis 3. Uncertainty analysis (Bootstrap) Possible reasons for low correlation: - Things remained virtual for a long time, even after reduction in cases - Initial lockdown implemented with 70 cases, which led to reduction in pollution with no increase in cases

  8. Data Analysis 4. Time-series Analysis Periodogram Time frame: 3/2/2020 8/11/2021

  9. Data Analysis 5. Time-series Analysis Cross- spectral analysis

  10. Data Analysis 5. Time-series Analysis Coherence Coherence value at a frequency of 0.01 = 0.029 No significant correlation

  11. Thank You! Questions?

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