Natural processes dominate the pollution levels during COVID-19 lockdown over India.

Venkat Ratnam Madineni, Hari Prasad Dasari, Ramakrishna Karumuri, Yesubabu Viswanadhapalli, Prasad Perumal, Ibrahim Hoteit

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


The lockdown measures that were taken to combat the COVID-19 pandemic minimized anthropogenic activities and created natural laboratory conditions for studying air quality. Both observations and WRF-Chem simulations show a 20-50% reduction (compared to pre-lockdown and same period of previous year) in the concentrations of most aerosols and trace gases over Northwest India, the Indo Gangetic Plain (IGP), and the Northeast Indian regions. It is shown that this was mainly due to a 70-80% increase in the height of the boundary layer and the low emissions during lockdown. However, a 60-70% increase in the pollutants levels was observed over Central and South India including the Arabian sea and Bay of Bengal during this period, which is attributed to natural processes. Elevated (dust) aerosol layers are transported from the Middle East and Africa via long-range transport, and a decrease in the wind speed (20-40%) caused these aerosols to stagnate, enhancing the aerosol levels over Central and Southern India. A 40-60% increase in relative humidity further amplified aerosol concentrations. The results of this study suggest that besides emissions, natural processes including background meteorology and dynamics, play a crucial role in the pollution concentrations over the Indian sub-continent.
Original languageEnglish (US)
JournalScientific reports
Issue number1
StatePublished - Jul 24 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-07-28
Acknowledged KAUST grant number(s): REP/1/3268-01-01
Acknowledgements: The work was funded by the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST) under the Virtual Red Sea Initiative (Award # REP/1/3268-01-01). The simulations were performed on the KAUST supercomputing facility SHAHEEN. Authors wish to thank NARL/DoS authorities for supporting this research. Data used for validation and the discussion provided by Dr. V. Ravi Kiran, Dr. Chaithanya D Jain, Dr. B.L. Madhavan is greatly acknowledged. All the figures are plotted using GrADS V2.2.1 ( and ORIGIN software’s.

ASJC Scopus subject areas

  • General


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