TY - JOUR
T1 - Variability of Middle East springtime dust events between 2011 and 2022
AU - Broomandi, Parya
AU - Galán-Madruga, David
AU - Satyanaga, Alfrendo
AU - Hamidi, Mehdi
AU - Ledari, Dorna Gholamzade
AU - Fathian, Aram
AU - Sarvestan, Rasoul
AU - Janatian, Nasime
AU - Jahanbakhshi, Ali
AU - Bagheri, Mehdi
AU - Karaca, Ferhat
AU - Al-Dousari, Ali
AU - Kim, Jong Ryeol
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2024
Y1 - 2024
N2 - The Middle East frontal sand and dust storms (SDS) occur in non-summer seasons, and represent an important phenomenon of this region’s climate. Among the mentioned type, spring SDS are the most common. Trend analysis was used in the current study to investigate the spatial-temporal variability of springtime dust events in the Middle East using synoptic station observation from 2011 to 2022. The plausible changes in some controlling factors of dust activity at selected important dust sources in the Middle East were also studied during this time period. Our results showed a statistically significant spike in springtime dust events across the Middle East, particularly in May 2022. To evaluate the relative importance of controlling factors, the applied feature of importance analysis using random forest (RF) showed the higher relative importance of topsoil layer wetness, surface soil temperature, and surface wind speed in dust activity over the Middle East between 2011 and 2022. Long-term trend analysis of topsoil moisture and temperature, using the Mann-Kendall trend test, showed a decrease in soil moisture and an increase in soil temperature in some selected important dust sources in the Middle East. Moreover, our predictions using ARIMA models showed a high tendency to dust activities in selected major dust origins (domain 2 and domain 5) with a statistically significant increase (p-value < 0.05) between 2023 and 2029. Observed spatial and temporal changes within SDS hotspots can act as the first step to build up for the first time an SDS precise intensity scale, as well as establishing an SDS early warning system in future.
AB - The Middle East frontal sand and dust storms (SDS) occur in non-summer seasons, and represent an important phenomenon of this region’s climate. Among the mentioned type, spring SDS are the most common. Trend analysis was used in the current study to investigate the spatial-temporal variability of springtime dust events in the Middle East using synoptic station observation from 2011 to 2022. The plausible changes in some controlling factors of dust activity at selected important dust sources in the Middle East were also studied during this time period. Our results showed a statistically significant spike in springtime dust events across the Middle East, particularly in May 2022. To evaluate the relative importance of controlling factors, the applied feature of importance analysis using random forest (RF) showed the higher relative importance of topsoil layer wetness, surface soil temperature, and surface wind speed in dust activity over the Middle East between 2011 and 2022. Long-term trend analysis of topsoil moisture and temperature, using the Mann-Kendall trend test, showed a decrease in soil moisture and an increase in soil temperature in some selected important dust sources in the Middle East. Moreover, our predictions using ARIMA models showed a high tendency to dust activities in selected major dust origins (domain 2 and domain 5) with a statistically significant increase (p-value < 0.05) between 2023 and 2029. Observed spatial and temporal changes within SDS hotspots can act as the first step to build up for the first time an SDS precise intensity scale, as well as establishing an SDS early warning system in future.
KW - ARIMA model
KW - Drought
KW - Mann-Kendall trend test
KW - Sand and dust storms
KW - Soil moisture
KW - Soil temperature
KW - the Middle East
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U2 - 10.1007/s11869-024-01510-9
DO - 10.1007/s11869-024-01510-9
M3 - Article
AN - SCOPUS:85182815821
SN - 1873-9318
JO - Air Quality, Atmosphere and Health
JF - Air Quality, Atmosphere and Health
ER -