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  • Financial viability assessment of concentrated solar power technologies under Indian climatic conditions SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS Kumar, S., Agarwal, A., Kumar, A. 2021; 43
  • Predicting Ground Level PM2.5 Concentration Over Delhi Using Landsat 8 Satellite Data INTERNATIONAL JOURNAL OF REMOTE SENSING Mishra, R., Agarwal, A., Shukla, A. 2021; 42 (3): 827-838
  • Comparative study on air quality status in Indian and Chinese cities before and during the COVID-19 lockdown period AIR QUALITY ATMOSPHERE AND HEALTH Agarwal, A., Kaushik, A., Kumar, S., Mishra, R. 2020; 13 (10): 1167-1178

    Abstract

    Amidst COVID-19 pandemic, extreme steps have been taken by countries globally. Lockdown enforcement has emerged as one of the mitigating measures to reduce the community spread of the virus. With a reduction in major anthropogenic activities, a visible improvement in air quality has been recorded in urban centres. Hazardous air quality in countries like India and China leads to high mortality rates from cardiovascular diseases. The present article deals with 6 megacities in India and 6 cities in Hubei province, China, where strict lockdown measures were imposed. The real-time concentration of PM2.5 and NO2 were recorded at different monitoring stations in the cities for 3 months, i.e. January, February, and March for China and February, March, and April for India. The concentration data is converted into AQI according to US EPA parameters and the monthly and weekly averages are calculated for all the cities. Cities in China and India after 1 week of lockdown recorded an average drop in AQIPM2.5 and AQINO2 of 11.32% and 48.61% and 20.21% and 59.26%, respectively. The results indicate that the drop in AQINO2 was instantaneous as compared with the gradual drop in AQIPM2.5. The lockdown in China and India led to a final drop in AQIPM2.5 of 45.25% and 64.65% and in AQINO2 of 37.42% and 65.80%, respectively. This study will assist the policymakers in devising a pathway to curb down air pollutant concentration in various urban cities by utilising the benchmark levels of air pollution.

    View details for DOI 10.1007/s11869-020-00881-z

    View details for Web of Science ID 000551409200001

    View details for PubMedID 32837619

    View details for PubMedCentralID PMC7375877