Implication of wind characteristics for assessing dust events in northeastern Iran

This study examines how wind characteristics can associate with dust events in Northeastern Iran's Khorasan Razavi province, an area frequently affected by dust storms. Ten synoptic stations provided daily wind and dust data from 2014 to 2023, which were analyzed to explore seasonal and spatial patterns. All wind characteristics and dust event data were extracted from diurnal SYNOP codes and contributed to the GIS-based database. Then, data were interpolated to produce regionalization maps in GIS and to estimate temporal statistics and correlation coefficients in SPSS. Findings reveal that prevailing north and northwest winds are closely linked to dust storms across all stations and seasons, with the Sarakhs region identified as the main dust hotspot, especially during spring and summer when wind speeds peak. In Mashhad, dust events are also linked to southerly winds during autumn and winter. The study highlights that understanding wind direction and speed enhances the estimation of dust storms and supports strategies to mitigate their negative impacts. Practical recommendations include early warning systems in high-risk areas like Sarakhs based on wind-speed thresholds, land restoration in dust-prone wind sectors, and adjusting air quality alerts in Mashhad according to seasonal wind trends. These measures aim to protect public health and regional ecosystems from the adverse effects of dust storms.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-06-25
DOI
https://doi.org/10.1038/s41598-026-59459-x
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implication of wind characteristics for assessing dust events in northeastern Iran

Hossein Azadi, Seyed Javad Rasouli, Mohammad Reza Mansouri Daneshvar, Imaneh Goli et al.
Scientific Reports
Atmospheric aerosols and clouds
article

Implication of wind characteristics for assessing dust events in northeastern Iran

Hossein Azadi, Seyed Javad Rasouli, Mohammad Reza Mansouri Daneshvar, Imaneh Goli, Toktam Golmakani
article en

Abstract

This study examines how wind characteristics can associate with dust events in Northeastern Iran's Khorasan Razavi province, an area frequently affected by dust storms. Ten synoptic stations provided daily wind and dust data from 2014 to 2023, which were analyzed to explore seasonal and spatial patterns. All wind characteristics and dust event data were extracted from diurnal SYNOP codes and contributed to the GIS-based database. Then, data were interpolated to produce regionalization maps in GIS and to estimate temporal statistics and correlation coefficients in SPSS. Findings reveal that prevailing north and northwest winds are closely linked to dust storms across all stations and seasons, with the Sarakhs region identified as the main dust hotspot, especially during spring and summer when wind speeds peak. In Mashhad, dust events are also linked to southerly winds during autumn and winter. The study highlights that understanding wind direction and speed enhances the estimation of dust storms and supports strategies to mitigate their negative impacts. Practical recommendations include early warning systems in high-risk areas like Sarakhs based on wind-speed thresholds, land restoration in dust-prone wind sectors, and adjusting air quality alerts in Mashhad according to seasonal wind trends. These measures aim to protect public health and regional ecosystems from the adverse effects of dust storms.

Scientific Reports
University of Liège (BE), Gembloux Agro-Bio Tech (BE), Ghent University (BE), Iran Meteorological Organization (IR)
Climate action
Openalex Percentile: Top 8%
Atmospheric aerosols and clouds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.