Relation between PM2.5 and O3 over different urban environmental regimes in India

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dc.contributor.author Yadav, Rahul Kant
dc.contributor.author Gadhavi, Harish
dc.contributor.author Arora, Akanksha
dc.contributor.author Mohbey, Krishna Kumar
dc.contributor.author Kumar, Sunil
dc.contributor.author Lal, Shyam
dc.contributor.author Mallik, Chinmay
dc.coverage.spatial Switzerland
dc.date.accessioned 2023-01-25T13:27:17Z
dc.date.available 2023-01-25T13:27:17Z
dc.date.issued 2023-01
dc.identifier.citation Yadav, Rahul Kant; Gadhavi, Harish; Arora, Akanksha; Mohbey, Krishna Kumar; Kumar, Sunil; Lal, Shyam and Mallik, Chinmay, "Relation between PM2.5 and O3 over different urban environmental regimes in India", Urban Science, DOI: 10.3390/urbansci7010009, vol. 7, no. 1, Jan. 2023. en_US
dc.identifier.issn 2413-8851
dc.identifier.uri https://doi.org/10.3390/urbansci7010009
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/8522
dc.description.abstract Atmospheric ozone (O3) concentration is impacted by a number of factors, such as the amount of solar radiation, the composition of nitrogen oxides (NOx) and hydrocarbons, the transport of pollutants and the amount of particulate matter in the atmosphere. The oxidative potential of the atmosphere and the formation of secondary organic aerosols (SOAs) as a result of atmospheric oxidation are influenced by the prevalent O3 concentration. The formation of secondary aerosols from O3 depends on several meteorological, environmental and chemical factors. The relationship between PM2.5 and O3 in different urban environmental regimes of India is investigated in this study during the summer and winter seasons. A relationship between PM2.5 and O3 has been established for many meteorological and chemical variables, such as RH, WS, T and NOx, for the selected study locations. During the winter season, the correlation between PM2.5 and O3 was found to be negative for Delhi and Bengaluru, whereas it was positive in Ahmedabad. The city of Bengaluru was seen to have a positive correlation between PM2.5 and O3 during summer, coinciding with the transport of marine air masses with high RH and low wind speed (as evident from FLEXPART simulations), leading to the formation of SOAs. Further, O3 concentrations are predicted using a Recurrent Neural Network (RNN) model based on the relation obtained between PM2.5 and O3 for the summer season using NOx, T, RH, WS and PM2.5 as inputs.
dc.description.statementofresponsibility by Rahul Kant Yadav, Harish Gadhavi, Akanksha Arora, Krishna Kumar Mohbey, Sunil Kumar, Shyam Lal and Chinmay Mallik
dc.format.extent vol. 7, no. 1
dc.language.iso en_US en_US
dc.publisher MDPI en_US
dc.subject Atmospheric ozone en_US
dc.subject NOx en_US
dc.subject SOAs en_US
dc.subject RNN model en_US
dc.subject FLEXPART simulations en_US
dc.title Relation between PM2.5 and O3 over different urban environmental regimes in India en_US
dc.type Journal Paper en_US
dc.relation.journal Urban Science


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