[HTML][HTML] An analysis of air pollution associated with the 2023 sand and dust storms over China: Aerosol properties and PM10 variability

M Filonchyk, MP Peterson, L Zhang, H Yan - Geoscience Frontiers, 2024 - Elsevier
Every spring, a large part of China is confronted with sand and dust storms (SDS)–mainly
originating in the Gobi (including Chinese and Mongolian Gobi) and Taklamakan deserts. In …

Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran

EM Hassan, M Karimkhani, J Sepehri - Atmospheric Environment, 2025 - Elsevier
Accurate estimation of wind direction and speed is essential for enhancing the simulation
and prediction of dust storms. Being highly susceptible to dust storms, Western Iran …

The aerosol optical characteristics in different dust events based on a 532 nm and 355 nm polarization lidar in Beijing

Z Chen, Y Huang, Z Yao, T Zhang, G Fan, X Cao, C Ji - Remote Sensing, 2023 - mdpi.com
Extreme weather events are happening more frequently as a result of global climate change.
Dust storms broke out in the spring of 2017 in China and drastically impacted the local air …

[HTML][HTML] POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites

Y He, Z Yin, A Ansmann, F Liu, L Wang… - Atmospheric …, 2023 - amt.copernicus.org
Aerosol–cloud interactions (ACIs) are the largest contributor to the uncertainty in the global
radiation budget. To improve the current consideration of ACIs in global circulation models, it …

Long-term perspectives on land-use changes and air pollution policies in Iran: A comparative analysis of regional and global patterns in atmospheric PM2. 5

R Yousefi, F Wang, A Shaheen, Q Ge… - Journal of …, 2025 - Elsevier
Abstract Fine particulate matter (PM 2.5) pollution is a major environmental challenge across
the Middle East, including Iran. However, a substantial lack of knowledge exists regarding …

Aerosol characterization of Northern China and Yangtze River Delta based on multi-satellite data: Spatiotemporal variations and policy implications

K Luan, Z Cao, S Hu, Z Qiu, Z Wang, W Shen, Z Hong - Sustainability, 2023 - mdpi.com
Horizontal and vertical distributions of aerosol properties in the Taklimakan Desert (TD),
North central region of China (NCR), North China Plain (NCP), and Yangtze River Delta …

Temporal and Spatial Variability of Dust in the Urmia Basin, 1990–2019

E Mobarak Hassan, E Fattahi, M Habibi - Atmosphere, 2023 - mdpi.com
The living conditions in the Urmia Basin (northwestern Iran) face significant challenges due
to dust events. This study investigates the spatial and temporal characteristics of dust …

Comparison of the polluted dust plume and natural dust air mass in a spring dust event in Beijing 2023

Z Chen, Z Zhou, C Ji, Z Yao, J Mao, Z Wang… - Journal of …, 2024 - Elsevier
The occurrence of extreme weather events is becoming more frequent due to global climate
change. A long-lasting dust outbreak in the spring of 2023 was triggered by Mongolia …

Long-term characteristics of dust aerosols over central China from 2010 to 2020 observed with polarization lidar

D Jing, Y He, Z Yin, F Liu, F Yi - Atmospheric Research, 2024 - Elsevier
Plenty of dust aerosols are emitted into the atmosphere in East Asian regions and
significantly impact the regional environment and climate. In the past decade, the frequency …

Satellite-Based Background Aerosol Optical Depth Determination via Global Statistical Analysis of Multiple Lognormal Distribution

QX Chen, CL Huang, SK Dong, KF Lin - Remote Sensing, 2024 - mdpi.com
Determining background aerosol optical depth threshold value (BAOD) is critical to aerosol
type identification and air pollution control. This study presents a statistical method to select …