-
April to June 2024 Article ID: NSS9825 Impact Factor:8.05 Cite Score:13 Download: 0 DOI: https://doi.org/10.63574/nss.9825 View PDf
Spatial and Temporal Assessment of Air Quality Changes During COVID-19 Lockdown: A Case Study of Udaipur, India
Ankita Pandey
Department of Geography, Mohanlal Sukhadiya University, Udaipur (Raj.)
Abstract:
The
COVID-19 pandemic and the unprecedented nationwide lockdown imposed across
India from March 2020 onwards presented an unplanned, but ecologically
significant natural experiment in urban air quality management. The present
study is a spatial assessment of the change in the concentration of particulate
matter, PM2.5 and PM10 over Udaipur city, Rajasthan during six time defined
phases (pre-lockdown, four successive lockdown stages and initial unlock
period) (15 March to 30 June 2020). Ambient air quality data were collected
from Continuous Ambient Air Quality Monitoring Station (CAAQMS) of Rajasthan
State Pollution Control Board (RSPCB) situated at four spatial locations of the
city i.e. Ashok Nagar, Town Hall, Ambamate and Regional Office (Transport Nagar).
Point data were geo-referenced in Google Earth Pro by the use of KML files,
which were converted to shape files in ArcGIS, and then subjected to Inverse
Distance Weighting (IDW) interpolation to produce continuous spatial surfaces
for each phase and each pollutant. Both PM2.5 and PM10 concentrations are
significantly reduced during Lockdown 1 relative to pre-lockdown baseline
conditions, consistent with the near-complete suppression of vehicular traffic,
industrial activity and construction during this period. The subsequent phases
of lockdown saw a gradual deterioration of air quality as the easing of
economic activities led to higher concentrations during Lockdown 4. This could
be due to the influx of the patients from the neighbouring districts for the treatment
at the healthcare facilities of Udaipur. Lockdown 1 saw a partial bounce back
to cleaner air, indicative of the behavioural inertia of a population still
wary of public exposure. These spatially explicit results contribute to the
growing evidence of the pivotal role of anthropogenic emissions on urban air
quality, with direct implications for post-pandemic environmental governance.
Keywords: COVID-19 lockdown; PM2.5; PM10; GIS; IDW interpolation;
Udaipur; air quality; spatial analysis; Rajasthan.
