Investigating the Role of the Madden-Julian Oscillation (MJO) on the Frequency of Dust Storms in Selected Stations of Khuzestan Province and Tracking the Paths of Dust Entering it

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Vatanparast Galeh Juq Fatemeh; Salahi Bromand; Zeinali Batool

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Journal: JOURNAL OF GEOGRAPHICAL SCIENCES Year:2025 | Volume:25 | Issue:77 Page(s): 198-217

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Title

Investigating the Role of the Madden-Julian Oscillation (MJO) on the Frequency of Dust Storms in Selected Stations of Khuzestan Province and Tracking the Paths of Dust Entering it

Author(s)

Vatanparast Galeh Juq Fatemeh | Salahi Bromand | Zeinali Batool | Issue Writer Certificate

Keywords

Maden Julian OscillationQ4

Khuzestan provinceQ4

Monte Carlo testQ4

HYSPLIT modelQ4

Dust StormsQ4

Abstract

This study investigates the impact of the OLR MJO Index (OMI) and the Real-time Multivariate MJO (RMM) of the Madden-Julian Oscillation on the frequency of Dust Storms in the stations of Abadan, Ahvaz, Bostan, Bandar Mahshahr, Dezful, Ramhormoz, and Masjed Soleiman, located in Khuzestan province, during the period from April to September 1987-2021. Pearson correlation coefficients were computed to assess the relationship between dust data and the indices, and the findings were depicted through zoning maps. Subsequently, the frequency percentage of each index for both positive and negative phases was quantified. The results indicate a direct and significant correlation between the positive and negative phases of the indices and dust occurrences (with the exception of Dezful station), particularly during the positive phase of the OMI and the negative phase of the RMM. The highest correlation coefficients, ranging from 0.77 to 0.72, were observed for Bandar Mahshahr and Dezful stationsduring the positive phase of the RMM index. Analysis of the relationship between the Madden-Julian Oscillation and Dust Storms revealed that between 51% and 59% of Dust Storms in Khuzestan province occurred in the negative phase of the OMI index, while 40% to 49% occurred in the positive phase. In the case of the RMM index, 56% to 63% of Dust Storms were associated with its negative phase, in contrast to 37% to 50% linked to its positive phase. Notably, the negative phase of the RMM index exhibited a higher percentage of Dust Storms compared to the negative phase of the OMI index. According to the results of the Monte Carlo test, the displacement of the positive and negative phases of the RMM index significantly contributes to the occurrence of Dust Storms at most stations in Khuzestan province. Furthermore, tracking the pathways of dust entering Khuzestan province using the HYSPLIT model indicates the movement of particles originating from Iraq, Arabia, and the eastern regions of Syria toward Khuzestan province..

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