Long-term variability of dust events in southwestern Iran and its relationship with the drought

NH Hamzeh, DG Kaskaoutis, A Rashki… - Atmosphere, 2021 - mdpi.com
Dust storms represent a major environmental challenge in the Middle East. The southwest
part of Iran is highly affected by dust events transported from neighboring desert regions …

High spatiotemporal resolution estimation of AOD from Himawari-8 using an ensemble machine learning gap-filling method

A Chen, J Yang, Y He, Q Yuan, Z Li, L Zhu - Science of the Total …, 2023 - Elsevier
The data incompleteness of aerosol optical depth (AOD) products and their lack of
availability in highly urbanized areas limit their great potential of application in air quality …

Elevating hourly PM2. 5 forecasting in Istanbul, Türkiye: Leveraging ERA5 reanalysis and genetic algorithms in a comparative machine learning model analysis

S Gündoğdu, T Elbir - Chemosphere, 2024 - Elsevier
Rapid urbanization and industrialization have intensified air pollution, posing severe health
risks and necessitating accurate PM 2.5 predictions for effective urban air quality …

Investigating the long-term trends in aerosol optical depth and its association with meteorological parameters and enhanced vegetation index over Turkey

Ö Zeydan, S Tariq, F Qayyum, U Mehmood… - … Science and Pollution …, 2023 - Springer
Aerosol optical depth (AOD) provides useful information on particulate matter pollution at
both regional and global levels. In this study, the long-term datasets of aerosols …

Evaluation of MERRA-2 aerosol optical and component properties over China using SONET and PARASOL/GRASP data

Y Ou, Z Li, C Chen, Y Zhang, K Li, Z Shi, J Dong, H Xu… - Remote Sensing, 2022 - mdpi.com
The Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-
2) is widely used as an advanced model dataset for the understanding of global climate …

A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing …

PSS Kumar, CS Matli - Atmospheric Research, 2024 - Elsevier
Particulate matter (PM), one of the major air pollutants, is generated by variety of natural or
man-made sources, leading to acute and chronic diseases in humans since the last few …

Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals

G Tuna Tuygun, T Elbir - Stochastic Environmental Research and Risk …, 2023 - Springer
This study estimates intra-daily PM10 concentrations at 213 inland and coastal monitoring
sites in Türkiye from 2008 to 2019 using satellite-based aerosol optical depth (AOD) from the …

[HTML][HTML] The Role of Machine Learning in Enhancing Particulate Matter Estimation: A Systematic Literature Review

A Alkhodaidi, A Attiah, A Mhawish, A Hakeem - Technologies, 2024 - mdpi.com
As urbanization and industrial activities accelerate globally, air quality has become a
pressing concern, particularly due to the harmful effects of particulate matter (PM), notably …

Estimating daily PM2.5 concentrations using an extreme gradient boosting model based on VIIRS aerosol products over southeastern Europe

S Gündoğdu, G Tuna Tuygun, Z Li, J Wei… - Air Quality, Atmosphere & …, 2022 - Springer
The performance of aerosol optical depth (AOD) products from the visible infrared imaging
radiometer suite (VIIRS) instrument to estimate ground-level PM2. 5 concentrations has …

[HTML][HTML] Spatio-temporal analysis of aerosol optical depth using rotated empirical orthogonal function over the Maritime Continent from 2001 to 2020

AN Khoir, MCG Ooi, L Juneng, MAI Ramadhan… - Atmospheric …, 2022 - Elsevier
The deterioration in the annual air quality of the Maritime Continent (MC) is mainly caused
by biomass burning haze (BBH) and the surrounding atmospheric conditions. This study …