TY - JOUR
T1 - Wrf-chem simulation for modeling seasonal variations and distributions of aerosol pollutants over the middle east
AU - Shahid, Muhammad Zeeshaan
AU - Chishtie, Farrukh
AU - Bilal, Muhammad
AU - Shahid, Imran
N1 - KAUST Repository Item: Exported on 2021-06-21
Acknowledgements: We thank and acknowledge Dr. Suleiman Mostamandy (King Abdullah University of Science and Technology) for assistance in the statistical evaluation of model meteorological parameters. The editorial and consultancy support from Adaptive AgroTech and Redmond R. Shamshiri is duly acknowledged.
PY - 2021/5/27
Y1 - 2021/5/27
N2 - Atmospheric aerosols and dust have become a challenge for urban air quality. The pre-sented study quantified seasonal spatio-temporal variations of aerosols, tropospheric ozone, and dust over the Middle East (ME) for the year 2012 by using the HTAP emission inventory in the WRF-Chem model. Simulated gaseous pollutants, aerosols and dust were evaluated against satellite measurements and reanalysis datasets. Meteorological parameters, temperature, and wind vector were evaluated against MERRA2. The model showed high spatio-temporal variability in meteorological parameters during summer and low variability in winter. The correlation coefficients for all the parameters are estimated to be 0.92, 0.93, 0.98, and 0.89 for January, April, July, and October respectively, indicating that the WRF-Chem model reproduced results very well. Simulated monthly mean AOD values were maximum in July (1.0–1.5) and minimum in January (0.1–0.4) while April and October were in the range of 0.6–1.0 and 0.3–0.7 respectively. Simulated dust concentrations were high in April and July. The monthly average aerosol concentration was highest over Bahrain, Kuwait, Qatar, and the United Arab Emirates and Jeddah, Makkah. The contributions to urban air pollution were highest over Makkah city with more than 25% from anthropogenic sources.
AB - Atmospheric aerosols and dust have become a challenge for urban air quality. The pre-sented study quantified seasonal spatio-temporal variations of aerosols, tropospheric ozone, and dust over the Middle East (ME) for the year 2012 by using the HTAP emission inventory in the WRF-Chem model. Simulated gaseous pollutants, aerosols and dust were evaluated against satellite measurements and reanalysis datasets. Meteorological parameters, temperature, and wind vector were evaluated against MERRA2. The model showed high spatio-temporal variability in meteorological parameters during summer and low variability in winter. The correlation coefficients for all the parameters are estimated to be 0.92, 0.93, 0.98, and 0.89 for January, April, July, and October respectively, indicating that the WRF-Chem model reproduced results very well. Simulated monthly mean AOD values were maximum in July (1.0–1.5) and minimum in January (0.1–0.4) while April and October were in the range of 0.6–1.0 and 0.3–0.7 respectively. Simulated dust concentrations were high in April and July. The monthly average aerosol concentration was highest over Bahrain, Kuwait, Qatar, and the United Arab Emirates and Jeddah, Makkah. The contributions to urban air pollution were highest over Makkah city with more than 25% from anthropogenic sources.
UR - http://hdl.handle.net/10754/669693
UR - https://www.mdpi.com/2072-4292/13/11/2112
UR - http://www.scopus.com/inward/record.url?scp=85107737548&partnerID=8YFLogxK
U2 - 10.3390/rs13112112
DO - 10.3390/rs13112112
M3 - Article
SN - 2072-4292
VL - 13
SP - 2112
JO - Remote Sensing
JF - Remote Sensing
IS - 11
ER -