Wetland shrinking and dust pollution in Khuzestan Iran: insights from sentinel-5 and MODIS satellites DOI Creative Commons
A. Yousefi Kebriya, Mehdi Nadi, Ehsan Afaridegan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 20, 2025

Dust pollution is a major environmental issue that threatens public health and ecosystems. This study investigates the relationship between wetland area reduction intensification of dust in southwestern Iran, utilizing satellite data from Landsat, Sentinel-5, MODIS (2010-2022). High-resolution imagery Google Earth Engine (GEE) was used to extract event frequency data, while Aerosol Optical Depth (AOD) Absorbing Index (AAI) were employed monitor levels. Normalized Difference Water (NDWI) analysis revealed Hoor Al-Azim Shadegan wetlands experienced their driest conditions 2010, 2011, 2021, 2022. A strong inverse correlation observed frequency, with coefficients - 0.85 for 0.90 Shadegan. When dropped below 60 km2, events increased 20-35 occurrences. Similarly, Shadegan, exceeded 20 when fell 100 km2. Wind rose indicated prevailing northeast northwest winds, combined dry northern parts significantly contribute formation. Furthermore, established clear number polluted days both PM10 PM2.5. For each 1 km2 decrease area, by 0.03, explaining 56% variation, PM2.5 0.05, accounting 64%. Principal Component Analysis (PCA) further demonstrated changes explain 87.5% 90.1% variance levels, respectively. These findings highlight critical role preservation mitigating improving air quality.

Language: Английский

Wetland shrinking and dust pollution in Khuzestan Iran: insights from sentinel-5 and MODIS satellites DOI Creative Commons
A. Yousefi Kebriya, Mehdi Nadi, Ehsan Afaridegan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 20, 2025

Dust pollution is a major environmental issue that threatens public health and ecosystems. This study investigates the relationship between wetland area reduction intensification of dust in southwestern Iran, utilizing satellite data from Landsat, Sentinel-5, MODIS (2010-2022). High-resolution imagery Google Earth Engine (GEE) was used to extract event frequency data, while Aerosol Optical Depth (AOD) Absorbing Index (AAI) were employed monitor levels. Normalized Difference Water (NDWI) analysis revealed Hoor Al-Azim Shadegan wetlands experienced their driest conditions 2010, 2011, 2021, 2022. A strong inverse correlation observed frequency, with coefficients - 0.85 for 0.90 Shadegan. When dropped below 60 km2, events increased 20-35 occurrences. Similarly, Shadegan, exceeded 20 when fell 100 km2. Wind rose indicated prevailing northeast northwest winds, combined dry northern parts significantly contribute formation. Furthermore, established clear number polluted days both PM10 PM2.5. For each 1 km2 decrease area, by 0.03, explaining 56% variation, PM2.5 0.05, accounting 64%. Principal Component Analysis (PCA) further demonstrated changes explain 87.5% 90.1% variance levels, respectively. These findings highlight critical role preservation mitigating improving air quality.

Language: Английский

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