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Relational Study of PM2.5 Surface Concentration with MODIS Level 3 AOD Data Over India

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Recent Advances in Civil Engineering (CTCS 2021)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 256))

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Abstract

PM2.5, a principal constituent of particulate matter, is the most deadly form of air pollution attributing to significant number of health problems. For a country like India with a vast topographical distribution, the existing number of ground-based stations for monitoring of pollutant concentration is inadequate. With the advent of technology, remote sensing-based monitors have been able to capture the pollutant concentrations of any region. Using a combined Dark Target and Deep Blue (DTB) Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Level 3 aerosol optical depth (AOD) product and surface PM2.5 measurements from Central Pollution Control Board (CPCB) monitors, we provide a decade (2010–2020) of assessment of AOD–PM2.5 relationships all over India by graphical analysis and simple linear regression analysis. This study analyse the factors which can affect the relationship observed between the two datasets over various regions and at different times. Region-wise, state-wise and season-wise analyses for correlation were carried out. In addition, analyses were also carried out based on pollutant concentration levels and for 2020 lockdown period. Regardless of the classification, the two datasets were found to have a high correlation to one another. In general, Northern regions tend to show higher correlations, however the relation was found to be independent of concentration of pollutants. Post-monsoon and winter season showed comparatively higher correlation. The regression analysis for a general equation all over India yielded a linear equation with R2 = 0.92 and a root mean square error of 26.84 µg/m3. Overall, our evaluation shows that MODIS Level 3 data estimates of PM2.5 on an annual time scale using simple linear models are reliable.

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Acknowledgements

We wish to acknowledge Central Pollution Control Board (CPCB) for their open access to PM2.5 data and also the Giovanni online data system, developed and maintained by the NASA GES DISC for making the data available for public use from where the required MODIS AOD data used to carry out the study were collected.

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Authors and Affiliations

  1. National Institute of Technology, Calicut, India

    Haritha P. Scaria, Premkumar Avanthika, Anna Mary Jose, J. S. Alisa, Anagha Sadasivan & George K. Varghese

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  1. Haritha P. Scaria
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  2. Premkumar Avanthika
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  3. Anna Mary Jose
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  4. J. S. Alisa
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  5. Anagha Sadasivan
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  6. George K. Varghese
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Corresponding author

Correspondence to George K. Varghese .

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Editors and Affiliations

  1. Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Mangalore, India

    Lakshman Nandagiri

  2. Department of Civil Engineering, National Institute of Technology Karnataka, Mangalore, India

    M. C. Narasimhan

  3. Civil Engineering, N.M.A.M. Institute of Technology, Karkala, Karnataka, India

    Shriram Marathe

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Scaria, H.P., Avanthika, P., Jose, A.M., Alisa, J.S., Sadasivan, A., Varghese, G.K. (2023). Relational Study of PM2.5 Surface Concentration with MODIS Level 3 AOD Data Over India. In: Nandagiri, L., Narasimhan, M.C., Marathe, S. (eds) Recent Advances in Civil Engineering. CTCS 2021. Lecture Notes in Civil Engineering, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-19-1862-9_7

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  • DOI: https://doi.org/10.1007/978-981-19-1862-9_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1861-2

  • Online ISBN: 978-981-19-1862-9

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