Version 1
: Received: 22 June 2023 / Approved: 26 June 2023 / Online: 26 June 2023 (14:00:18 CEST)
How to cite:
Loera-Sánchez, J.M.; Montiel-Antuna, E.; Morones-Esquivel, M.M.; López-Serrano, P.M.; Briseño-Reyes, J.; Garcia-Montiel, E.; Ramírez-Aldaba, H. Prediction of Tropospheric Ozone Levels from Temperature in the Urban Area of Durango, Dgo. Preprints2023, 2023061819. https://doi.org/10.20944/preprints202306.1819.v1
Loera-Sánchez, J.M.; Montiel-Antuna, E.; Morones-Esquivel, M.M.; López-Serrano, P.M.; Briseño-Reyes, J.; Garcia-Montiel, E.; Ramírez-Aldaba, H. Prediction of Tropospheric Ozone Levels from Temperature in the Urban Area of Durango, Dgo. Preprints 2023, 2023061819. https://doi.org/10.20944/preprints202306.1819.v1
Loera-Sánchez, J.M.; Montiel-Antuna, E.; Morones-Esquivel, M.M.; López-Serrano, P.M.; Briseño-Reyes, J.; Garcia-Montiel, E.; Ramírez-Aldaba, H. Prediction of Tropospheric Ozone Levels from Temperature in the Urban Area of Durango, Dgo. Preprints2023, 2023061819. https://doi.org/10.20944/preprints202306.1819.v1
APA Style
Loera-Sánchez, J.M., Montiel-Antuna, E., Morones-Esquivel, M.M., López-Serrano, P.M., Briseño-Reyes, J., Garcia-Montiel, E., & Ramírez-Aldaba, H. (2023). Prediction of Tropospheric Ozone Levels from Temperature in the Urban Area of Durango, Dgo. Preprints. https://doi.org/10.20944/preprints202306.1819.v1
Chicago/Turabian Style
Loera-Sánchez, J.M., Emily Garcia-Montiel and Hugo Ramírez-Aldaba. 2023 "Prediction of Tropospheric Ozone Levels from Temperature in the Urban Area of Durango, Dgo" Preprints. https://doi.org/10.20944/preprints202306.1819.v1
Abstract
Air pollution in urban centers depends directly on anthropogenic activities. The objective of the present study was to predict tropospheric ozone levels from temperature data in the city of Durango, Dgo. Temperature and tropospheric ozone values were obtained from 18 sampling points in the urban area of the city of Durango, of which 15 were obtained by collecting from the Ventusky service and the rest from three fixed monitoring stations established in the city. These values were interpolated in order to determine the spatial values for the entire city. A correlation analysis was performed for three different periods in the day established as follows (24:00-03:00-06:00, 09:00-12:00-15:00 and 15:00-18:00-21:00). Subsequently, a linear regression analysis was performed by time period. The results showed a higher positive correlation between ozone concentration and temperature from 15:00 hrs to 21:00 hrs; likewise, this period showed a higher goodness of fit in the ozone prediction (R2=0.99; RMSE: 1.12 ppbv). Temperature allows spatial prediction of ozone concentrations in urban areas with acceptable accuracy.
Keywords
Air pollution; tropospheric ozone; linear regression; Kriging spatial interpolation; temperature; precursors; volatile organic compounds
Subject
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.
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