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Technical Note

Seasonal variation in aerosol optical depth and study of PM2.5-AOD empirical relationship in Raipur, Chhattisgarh, India

Pallavi Pradeep Khobragade1Ajay Vikram Ahirwar2

1Department of Civil Engineering, Rungta College of Engineering and Technology, Raipur, India

2Department of Civil Engineering, National Institute of Technology, Raipur, India

Keywords

Abstract


PM2.5;


Aerosol Optical Depth;


Aerosol Optical Thickness;


Back-trajectory analysis;


Ozone Monitoring Instrument;


Modern-Era Retrospective Analysis for Research and Application

Owing to urbanization and industrialization, PM2.5 (particulate matter with a diameter of less than 2.5 m) pollution has developed into a severe environmental issue. The limited geographical precision and inadequate coverage of PM2.5 measurement stations hinders research into the sources of contamination and the associated health hazards. The complex link between PM2.5 and aerosol optical depth (AOD), which is again confounded by meteorological conditions, makes retrieving PM2.5 from space difficult. AOD dataset was obtained from multiple satellite data retrieval tools including MERAA and OMI for the year 2020. Assessment of annual, seasonal and monthly AOD variation was carried out. The average aerosol optical depth obtained from OMI and MERRA is 1.60±0.56 and 1.33±0.12 respectively. Maximum AOD value was recorded in the summer, while the lowest value was recorded in the winter. Both the OMI and the MERRA AOD monthly change trends were similar, according to the comparative data. The months with the highest AOD values were July and October, and the months with the lowest AOD values were April and November. In the region, aerosol optical thickness (AOT) shows a significant seasonal change. Back-trajectory analysis indicated the contribution from local as well as distant sources. A significant association between PM2.5-AOD was found with R-square =0.71 with validated model showing good model performance and can be used for predicting future ground-based PM2.5 concentrations in the region. Substantial site-specific AOD-PM2.5 associations enable OMI AOD to be used to monitor pollution levels

© 2023 MIM Research Group. All rights reserved.

LATEST News


27/12/2022 Reviewer Awards: The winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 


23/12/2022 Best Paper Award: According to the Advisory Board decision, the paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 2022 Best Paper Award of Research on Engineering Structures and Materials (RESM). 

23/12/2022 Most Cited Paper Award:  According to the Editorial Board evaluation, the paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the 2022 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM). 


13/04/2022 Fraudulent Emails Impersonating Our Journal: We noticed that some emails are sent to some people impersonating our journal staff as sender and requesting recipients to follow some links. Our journal and staff has nothing to do with these emails and please do not follow the given links. Senders seem to have malicious aims. The emails include a portion of some of our previous emails to the journal users and researchers. This is only to deceive the receiver and make them trust the email. Do not follow any links or perform suspicious actions specified in these emails. Please, check the sender info carefully. Even the sender address or name resembles the journal related words they are different, generally in an easily noticeable way.


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LATEST AWARDS


2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.


2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 


2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


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