TY - JOUR
T1 - Present Situations of Dust Storms in Iran for Seeking Numerical Predictions
AU - Mahmoudi, Leila
AU - Ikegaya, Naoki
N1 - Publisher Copyright:
© 2023 Kyushu University. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Dust storms originate from drylands and bring hazards and dramatic socio-economic impacts. This paper reviews the impacts of this phenomenon on human health, pollution of air, and socio-economic situations by focusing on susceptible areas to dust and sandstorms in Iran. It provides a short review of the dust and sandstorm phenomenon and the process of dust emissions. In addition, it reviews possible sources of dust and sandstorms inside Iran's borders and concludes that it originates from dried bed lakes which are located inside Iran. To consider the countermeasures of the hazardous effects of the dust storms, accurate prediction methods are required to be developed with plausible physical models describing the sand transport phenomenon with the association of mesoscale atmospheric predictions models. Accordingly, case studies employing atmospheric numerical simulation models were discussed. This study highlights the importance of the numerical predictions of dust storms that frequently occur in Iran.
AB - Dust storms originate from drylands and bring hazards and dramatic socio-economic impacts. This paper reviews the impacts of this phenomenon on human health, pollution of air, and socio-economic situations by focusing on susceptible areas to dust and sandstorms in Iran. It provides a short review of the dust and sandstorm phenomenon and the process of dust emissions. In addition, it reviews possible sources of dust and sandstorms inside Iran's borders and concludes that it originates from dried bed lakes which are located inside Iran. To consider the countermeasures of the hazardous effects of the dust storms, accurate prediction methods are required to be developed with plausible physical models describing the sand transport phenomenon with the association of mesoscale atmospheric predictions models. Accordingly, case studies employing atmospheric numerical simulation models were discussed. This study highlights the importance of the numerical predictions of dust storms that frequently occur in Iran.
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U2 - 10.5109/5909116
DO - 10.5109/5909116
M3 - Conference article
AN - SCOPUS:85169079076
SN - 2434-1436
SP - 354
EP - 359
JO - International Exchange and Innovation Conference on Engineering and Sciences
JF - International Exchange and Innovation Conference on Engineering and Sciences
T2 - 8th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2022
Y2 - 20 October 2022 through 21 October 2022
ER -