Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin

With the spirit of reproducible research, this repository contains codes required to produce the results in the manuscript:

Sushma Kumari, Avinash Chand Yadav, Manabendra Saharia, Soumyabrata Dev,Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin,Remote Sensing Applications: Society and Environment,Volume 28,2022,100835,ISSN 2352-9385.

Please cite the above paper if you intent to use whole/part of the code. This code is only for academic and research purposes.

Code Organization

All codes are written in python3.

Code

• AOD_data _extraction.ipynb: Run this jupyter notebook to extract the AOD values in a given lat. long. in dataframe format.
• Dublin.ipynb: Run this file to fetch and plot NO₂, SO₂, CO, O₃, and AOD data from Sentinel-5P, and MODIS respectively.
• Dublin_TS_plots.ipynb: Run this file for time series plots for NO₂, SO₂, O₃, PM_2.5, PM₁₀, and AQI from ground station.

Results

Time stamps of the pollutant concentrations across the map of Dublin.

Time series analysis

Time series of the pollutant concentrations over the lockdown period.