Details
| Original language | English |
|---|---|
| Article number | 134 |
| Journal | Water, Air, & Soil Pollution |
| Volume | 234 |
| Issue number | 2 |
| Publication status | Published - 15 Feb 2023 |
Abstract
In this study, the distribution and alterations of ozone concentrations in Tehran, Iran, in 2021 were investigated. The impacts of precursors (i.e., CO, NO 2, and NO) on ozone were examined using the data collected over 12 months (i.e., January 2021 to December 2021) from 21 stations of the Air Quality Control Company (AQCC). The results of monthly heat mapping of tropospheric ozone concentrations indicated the lowest value in December and the highest value in July. The lowest and highest seasonal concentrations were in winter and summer, respectively. Moreover, there was a negative correlation between ozone and its precursors. The Inverse Distance Weighting (IDW) method was then implemented to obtain air pollution zoning maps. Then, ozone concentration modeled by the IDW method was compared with the average monthly change of total column density of ozone derived from Sentinel-5 satellite data in the Google Earth Engine (GEE) cloud platform. A good agreement was discovered despite the harsh circumstances that both ground-based and satellite measurements were subjected to. The results obtained from both datasets showed that the west of the city of Tehran had the highest averaged O 3 concentration. In this study, the status of the concentration of ozone precursors and tropospheric ozone in 2022 was also predicted. For this purpose, the Box-Jenkins Seasonal Autoregressive Integrated Moving Average (SARIMA) approach was implemented to predict the monthly air quality parameters. Overall, it was observed that the SARIMA approach was an efficient tool for forecasting air quality. Finally, the results showed that the trends of ozone obtained from terrestrial and satellite observations throughout 2021 were slightly different due to the contribution of the tropospheric ozone precursor concentration and meteorology conditions.
Keywords
- Air quality, Heatmap of concentrations, Ozone precursors, SARIMA model, Sentinel-5P, Short-lived climate tropospheric ozone
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
- Environmental Science(all)
- Ecological Modelling
- Environmental Science(all)
- Pollution
- Environmental Science(all)
- Environmental Engineering
- Environmental Science(all)
- Environmental Chemistry
Sustainable Development Goals
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In: Water, Air, & Soil Pollution, Vol. 234, No. 2, 134, 15.02.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Current Status and Future Forecast of Short-lived Climate-Forced Ozone in Tehran, Iran, derived from Ground-Based and Satellite Observations
AU - Borhani, Faezeh
AU - Motlagh, Majid Shafiepour
AU - Ehsani, Amir Houshang
AU - Rashidi, Yousef
AU - Ghahremanloo, Masoud
AU - Amani, Meisam
AU - Moghimi, Armin
N1 - Funding Information: Special thanks are extended to the Tehran Air Quality Control Company (AQCC), Department of Environment (DOE), Institute of Geophysics of the University of Tehran (IGUT), and Iran Meteorological Organization (IRIMO) for efficient help in providing the database of this study.
PY - 2023/2/15
Y1 - 2023/2/15
N2 - In this study, the distribution and alterations of ozone concentrations in Tehran, Iran, in 2021 were investigated. The impacts of precursors (i.e., CO, NO 2, and NO) on ozone were examined using the data collected over 12 months (i.e., January 2021 to December 2021) from 21 stations of the Air Quality Control Company (AQCC). The results of monthly heat mapping of tropospheric ozone concentrations indicated the lowest value in December and the highest value in July. The lowest and highest seasonal concentrations were in winter and summer, respectively. Moreover, there was a negative correlation between ozone and its precursors. The Inverse Distance Weighting (IDW) method was then implemented to obtain air pollution zoning maps. Then, ozone concentration modeled by the IDW method was compared with the average monthly change of total column density of ozone derived from Sentinel-5 satellite data in the Google Earth Engine (GEE) cloud platform. A good agreement was discovered despite the harsh circumstances that both ground-based and satellite measurements were subjected to. The results obtained from both datasets showed that the west of the city of Tehran had the highest averaged O 3 concentration. In this study, the status of the concentration of ozone precursors and tropospheric ozone in 2022 was also predicted. For this purpose, the Box-Jenkins Seasonal Autoregressive Integrated Moving Average (SARIMA) approach was implemented to predict the monthly air quality parameters. Overall, it was observed that the SARIMA approach was an efficient tool for forecasting air quality. Finally, the results showed that the trends of ozone obtained from terrestrial and satellite observations throughout 2021 were slightly different due to the contribution of the tropospheric ozone precursor concentration and meteorology conditions.
AB - In this study, the distribution and alterations of ozone concentrations in Tehran, Iran, in 2021 were investigated. The impacts of precursors (i.e., CO, NO 2, and NO) on ozone were examined using the data collected over 12 months (i.e., January 2021 to December 2021) from 21 stations of the Air Quality Control Company (AQCC). The results of monthly heat mapping of tropospheric ozone concentrations indicated the lowest value in December and the highest value in July. The lowest and highest seasonal concentrations were in winter and summer, respectively. Moreover, there was a negative correlation between ozone and its precursors. The Inverse Distance Weighting (IDW) method was then implemented to obtain air pollution zoning maps. Then, ozone concentration modeled by the IDW method was compared with the average monthly change of total column density of ozone derived from Sentinel-5 satellite data in the Google Earth Engine (GEE) cloud platform. A good agreement was discovered despite the harsh circumstances that both ground-based and satellite measurements were subjected to. The results obtained from both datasets showed that the west of the city of Tehran had the highest averaged O 3 concentration. In this study, the status of the concentration of ozone precursors and tropospheric ozone in 2022 was also predicted. For this purpose, the Box-Jenkins Seasonal Autoregressive Integrated Moving Average (SARIMA) approach was implemented to predict the monthly air quality parameters. Overall, it was observed that the SARIMA approach was an efficient tool for forecasting air quality. Finally, the results showed that the trends of ozone obtained from terrestrial and satellite observations throughout 2021 were slightly different due to the contribution of the tropospheric ozone precursor concentration and meteorology conditions.
KW - Air quality
KW - Heatmap of concentrations
KW - Ozone precursors
KW - SARIMA model
KW - Sentinel-5P
KW - Short-lived climate tropospheric ozone
UR - http://www.scopus.com/inward/record.url?scp=85160025730&partnerID=8YFLogxK
U2 - 10.1007/s11270-023-06138-6
DO - 10.1007/s11270-023-06138-6
M3 - Article
VL - 234
JO - Water, Air, & Soil Pollution
JF - Water, Air, & Soil Pollution
SN - 0049-6979
IS - 2
M1 - 134
ER -