PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Characterization of Non-methane Hydrocarbons Fingerprint Prevalence in Urban Areas Using eNose Sensor Technology; Quantifying Correlation of Its Concentration with Windspeed for Identification of the Emission Sources
Version 1
: Received: 19 December 2023 / Approved: 20 December 2023 / Online: 20 December 2023 (10:53:06 CET)
How to cite:
Abdalla, R.Y.Y.A.; Al Moalla, A.; Ateeg, M.; Kalathingal, M.S.H.; Bano, S.; Ridouane, F.L. Characterization of Non-methane Hydrocarbons Fingerprint Prevalence in Urban Areas Using eNose Sensor Technology; Quantifying Correlation of Its Concentration with Windspeed for Identification of the Emission Sources. Preprints2023, 2023121481. https://doi.org/10.20944/preprints202312.1481.v1
Abdalla, R.Y.Y.A.; Al Moalla, A.; Ateeg, M.; Kalathingal, M.S.H.; Bano, S.; Ridouane, F.L. Characterization of Non-methane Hydrocarbons Fingerprint Prevalence in Urban Areas Using eNose Sensor Technology; Quantifying Correlation of Its Concentration with Windspeed for Identification of the Emission Sources. Preprints 2023, 2023121481. https://doi.org/10.20944/preprints202312.1481.v1
Abdalla, R.Y.Y.A.; Al Moalla, A.; Ateeg, M.; Kalathingal, M.S.H.; Bano, S.; Ridouane, F.L. Characterization of Non-methane Hydrocarbons Fingerprint Prevalence in Urban Areas Using eNose Sensor Technology; Quantifying Correlation of Its Concentration with Windspeed for Identification of the Emission Sources. Preprints2023, 2023121481. https://doi.org/10.20944/preprints202312.1481.v1
APA Style
Abdalla, R.Y.Y.A., Al Moalla, A., Ateeg, M., Kalathingal, M.S.H., Bano, S., & Ridouane, F.L. (2023). Characterization of Non-methane Hydrocarbons Fingerprint Prevalence in Urban Areas Using eNose Sensor Technology; Quantifying Correlation of Its Concentration with Windspeed for Identification of the Emission Sources. Preprints. https://doi.org/10.20944/preprints202312.1481.v1
Chicago/Turabian Style
Abdalla, R.Y.Y.A., shaher Bano and Fouad Lamghari Ridouane. 2023 "Characterization of Non-methane Hydrocarbons Fingerprint Prevalence in Urban Areas Using eNose Sensor Technology; Quantifying Correlation of Its Concentration with Windspeed for Identification of the Emission Sources" Preprints. https://doi.org/10.20944/preprints202312.1481.v1
Abstract
Multiple sources influence air quality and regional climate in complicated atmospheric emission situations like urban agglomerations. To resolve pollution plumes and source influences in polluted areas, a comprehensive chemical fingerprinting of sources utilizing non-methane hydrocarbons (NMHCs) and the identification of acceptable tracer molecules and emission ratios is required, in contrast to pristine locations, where reliance on a single or a few chemical tracers is frequently sufficient. We have characterized the prevalence of NMHCs fingerprints in the urban areas and quantified the correlation of windspeed with the concentration of these pollutants. eNose sensors and Air quality management stations provide the data to identify the emission sources of such pollutants. Based on our analysis, the average NMHC concentration in 2021 has been recorded 0.424 ppm at point 1 AQMS whereas at point 2 AQMS it was 0.256 ppm. Such outcomes could be attributed to the proximity of emissions sources, the direction and speed of the wind, or both. Moreover, traffic can be a major contributor to pollution levels in any urban area. More research based on a larger dataset is required before definitive conclusions can be drawn, and viable solutions can be proposed.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
