ISSN (O): 2584-2617Frequency: MonthlyLanguages: English, Hindi and other languagesDOI Prefix: 10.62796
editor@pijst.com+91 75999 91323
PIJST logoProcedure International Journal of Science and TechnologyInternational Open Access, Peer-reviewed & Refereed JournalISSN: 2584-2617 (Online)DOI Prefix: 10.62796

Official DOI landing page

Trend Analysis of Temporal Variations in NO2 in Punjab Region

Rajdeep Singh Sohal Corresponding Author

Assistant Professor, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, Punjab, India

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar, Punjab, India

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar, Punjab, India

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar, Punjab, India

B.Tech. (ECE), Department of Electronics Technology, Guru Nanak Dev University, Amritsar, Punjab, India

JournalPIJST
Volume / Issue1 / 6
Pages1–8
Published30 Jun 2024
Paper IDPIJST16J24001
Views / Downloads1 / 0

Article summary

Abstract

: This study employs Google Earth Engine (GEE) and Sentinel-5P TROPOMI data to analyze spatial and temporal variations in nitrogen dioxide (NO2) concentrations across a specified region. The methodology involves accessing the GEE platform to import Sentinel-5P Level 2 NO2 data, defining the study area’s geographic boundaries and time frame, and filtering the dataset to include only high-quality measurements. Spatial and temporal aggregation techniques were applied to generate average NO2 concentration maps and time series data, while cloud masking algorithms ensured data reliability by excluding cloud-affected observations. The processed data were visualized to illustrate NO2 distribution and trends, and statistical analyses were conducted to summarize NO2 levels and identify significant temporal changes. Additionally, the extracted NO2 concentrations were validated against ground-based air quality monitoring data. This approach provides a comprehensive understanding of NO2 dynamics, supporting effective air quality management and policy development aimed at mitigating NO2 pollution and protecting public health.

Citation record

How to cite this article

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra (2024). Trend Analysis of Temporal Variations in NO2 in Punjab Region. Procedure International Journal of Science and Technology, 1(6), 1–8. https://doi.org/10.62796/pijst.2024v1i601

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra. “Trend Analysis of Temporal Variations in NO2 in Punjab Region.” Procedure International Journal of Science and Technology, vol. 1, no. 6, 2024, pp. 1–8. https://doi.org/10.62796/pijst.2024v1i601

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra. “Trend Analysis of Temporal Variations in NO2 in Punjab Region.” Procedure International Journal of Science and Technology 1, no. 6 (2024): 1–8. https://doi.org/10.62796/pijst.2024v1i601

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra (2024) ‘Trend Analysis of Temporal Variations in NO2 in Punjab Region’, Procedure International Journal of Science and Technology, 1(6), pp. 1–8. Available at: https://doi.org/10.62796/pijst.2024v1i601.

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra, “Trend Analysis of Temporal Variations in NO2 in Punjab Region,” Procedure International Journal of Science and Technology, vol. 1, no. 6, pp. 1–8, 2024. https://doi.org/10.62796/pijst.2024v1i601.

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra. Trend Analysis of Temporal Variations in NO2 in Punjab Region. Procedure International Journal of Science and Technology. 2024;1(6):1–8. https://doi.org/10.62796/pijst.2024v1i601.

Rajdeep Singh Sohal, Manasvi Tikoo, Chandan Sharma, Madhav, Aryan Dhanotra. Trend Analysis of Temporal Variations in NO2 in Punjab Region. Procedure International Journal of Science and Technology 2024, 1 (6), 1–8. https://doi.org/10.62796/pijst.2024v1i601.

Record provenance

Publication history

Published30 Jun 2024
DOI assigned30 Jun 2024
Record versionVersion of Record

Research integrity

Declarations

Funding

No separate funding declaration was available in the verified source record; the journal policy applies.

Conflict of Interest

No separate conflict-of-interest declaration was available in the verified source record; the journal policy applies.

Ethical Approval

No separate ethical approval statement was available in the verified source record; the article and journal policies apply.

Data Availability

No separate data-availability statement was available in the verified source record; contact the author(s) or editorial office where appropriate.

Author Contributions

No separate author-contribution statement was available in the verified source record; authorship follows the published article record.

AI-use Declaration

No separate AI-use declaration was available in the verified source record; the journal AI-use policy applies.

Editorial record

Publisher's Note

The views, opinions and conclusions expressed in this article are those of the author(s). Publication does not imply endorsement by the journal, editorial board or publisher. Responsibility for accuracy, originality and integrity remains with the author(s). Readers should independently evaluate and verify information before application or citation.

Open-access terms

License & Copyright

Copyright © 2024 Author(s). This work is published by Procedure International Journal of Science and Technology under the Creative Commons Attribution-NonCommercial 4.0 International. Authors retain copyright and grant the journal the right of first publication.

Source record

References

Showing first 3 of 20 references.

  1. Appel, K. W., Napelenok, S. L., Hogrefe, C., Foley, K. M., Pouliot, G. A., & Bash, J. O. (2021). “Evaluation of the Community Multiscale Air Quality (CMAQ) Model Version 5.3 Using Size-Resolved Measurements of Particulate Matter.” Geoscientific Model Development.
  2. Atkinson, R. W., Butland, B. K., Dimitroulopoulou, C., & Heal, M. R. (2018). “Long-term exposure to ambient nitrogen dioxide and the risk of mortality.” Epidemiology.
  3. Bell, M. L., Zanobetti, A., & Dominici, F. (2011). “Who is more affected by ozone pollution? A systematic review and meta-analysis.” American Journal of Epidemiology. (Online).

Discover more

Related articles