Open Access Open Access  Restricted Access Subscription or Fee Access

Analysis of Air Pollutants in Pre-pandemic and Pandemic Era

Jaash Sehgal, Krishna Chandra Tripathi, M.L. Sharma

Abstract


The paper deals with the impact of the Coronavirus pandemic induced lockdown on the air quality levels of cities of India like Delhi, Mumbai, Kolkata and Bengaluru. PM2.5 and PM10 are the main pollutants on which this study is based. This project compares the actual data of PM2.5 and PM10 of each city with the hypothetical data if the pandemic caused lockdown had not occurred. The hypothetical data was obtained using extrapolation techniques using a linear function. Comparisons were made between the extrapolated data and the actual data of PM2.5 and PM10. Similar process was followed for the data after the principal component analysis was performed. Results were displayed using graphs for each city and represented mathematically using root mean square error (RMSE).

Keywords: Coronavirus, air quality, PM2.5, PM10, Delhi, Mumbai, Bengaluru, Kolkata, lockdown, principal component analysis, root mean square error


Full Text:

PDF

References


World Health Organization. (2019). Emergencies, diseases, novel coronavirus 2019 [online]. coronavirus-2019. Available from: https://www.who.int/emergencies/diseases/novel-.

Cao Q, Rui G, Liang Y. Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model. BMC Public Health. 2018;18(1):925. doi: 10.1186/s12889–018–5844–4.

Filonchyk M, Yan H, Yang S, Hurynovich V. A study of PM2.5 and PM10 concentrations in the atmosphere of large cities in Gansu Province, China, in summer period. J Earth Syst Sci. 2016;125(6):1175–87. doi: 10.1007/s12040–016–0722-x.

Wiener N. Extrapolation, interpolation, and smoothing of stationary time series. Massachusetts: MIT Press; 1964.

Jolliffe I. Principal component analysis. In: Lovric M (editor). International Encyclopedia of Statistical Science. Berlin, Heidelberg: Springer; 2011. doi: 10.1007/978–3–642–04898–2_455.

Gupta P, Kumar R, Singh SP, Jangid A. A study on monitoring of air quality and modelling of pollution control. 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Agra; 2016:1–4. doi: 10.1109/R10-HTC.2016.7906800.

Kaggle. (2019). Kaggle: Your Machine Learning and Data Science Community. [online] Available at: https://www.kaggle.com/

Goodfellow I, Bengio Y, Courville A. Deep Learning. Massachusetts: MIT Press; 2016.


Refbacks

  • There are currently no refbacks.


eISSN: 2231-0398