International Journal of Remote Sensing, Год журнала: 2025, Номер unknown, С. 1 - 25
Опубликована: Апрель 28, 2025
Язык: Английский
International Journal of Remote Sensing, Год журнала: 2025, Номер unknown, С. 1 - 25
Опубликована: Апрель 28, 2025
Язык: Английский
Atmosphere, Год журнала: 2025, Номер 16(4), С. 383 - 383
Опубликована: Март 27, 2025
Dust is one of the most important problems human societies in arid and semi-arid areas. This study analyzed rising propagation dust storm occurring from 21 to 23 May 2016 Isfahan province (Central Iran) by using WRF-Chem HYSPLIT models. The was visualized visible imagery coarse-mode aerosol optical depth data satellite sensor data, emission transport were simulated for Central Iran with AFWA GOCART schemes. results show that concentration Sistan Baluchistan Persian Gulf as high 2000 µg/m3, both schemes estimate highest amount emissions central parts eastern part province. PM10 Yazd station used verify model outputs, which showed scheme has a higher correlation coefficient observations (0.62) than scheme. case suggests simulate reasonably good reliability, though further determination enhancement are still required an accurate prediction extents.
Язык: Английский
Процитировано
0International Journal of Remote Sensing, Год журнала: 2025, Номер unknown, С. 1 - 25
Опубликована: Апрель 28, 2025
Язык: Английский
Процитировано
0