KAUST researchers are investigating the sources and chemistry of airborne particles to tackle urban air pollution. The research integrates laboratory simulations of atmospheric reactions with field measurements to understand the formation mechanisms of particulate matter (PM). They are also developing cellular and animal models to test how different air pollutants affect human health, in collaboration with the Center of Excellence for Smart Health. Why it matters: This research can inform targeted control strategies to manage emissions and improve air quality in Saudi Arabia and other countries facing similar pollution challenges.
MBZUAI researchers developed AirCast, a novel AI model for improved air pollution forecasting, which won the best paper award at the TerraBytes workshop during ICML. AirCast fuses weather and chemistry data using a Vision Transformer and frequency-weighted MAE to better predict extreme events like Saharan dust storms. In tests across the Middle East and North Africa, AirCast reduced PM2.5 error by 33% compared to a persistence baseline and outperformed the CAMS physics model. Why it matters: Accurate air pollution forecasting is critical for public health in the GCC region, and this research demonstrates a significant advancement using AI to address this challenge.
The AQABA project, a collaboration involving KAUST and international institutions, studies air quality and climate change in the Arabian Basin using a marine research vessel. The vessel traveled from France through the Suez Canal, around the Arabian Peninsula, and stopped at KAUST. Researchers presented findings on atmospheric dust, air pollution, and aerosol measurements, highlighting the impact of dust on renewable energy and air pollution on health. Why it matters: The project provides crucial data for understanding and addressing climate challenges and air quality issues in the Middle East.
KAUST has developed AirGo, a hybrid air quality monitoring system using mobile and stationary sensors. The system measures gases (carbon dioxide, carbon monoxide, sulfur dioxide, ozone, etc.) and particulate matter, providing real-time environmental data. AirGo is at technology readiness level 6 and is being scaled up for broader use through partnerships with manufacturers. Why it matters: This technology directly supports Saudi Vision 2030's environmental sustainability goals and the development of smart cities by providing granular air quality insights.
KAUST is hosting Junfeng (Jim) Zhang from Duke University to study air pollution's impact on health in Saudi Arabia. Zhang will collaborate with KAUST faculty to assess the health effects of environmental stressors using epidemiology and toxicology. Air pollution causes significant premature deaths and loss of life expectancy in Saudi Arabia. Why it matters: This research will inform evidence-based policies and treatment strategies to combat respiratory illnesses linked to air pollution in Saudi Arabia and the broader region.
KAUST researchers found that wildfire smoke particles act as chemical factories under sunlight, producing harmful oxidants like peroxides. These particles bypass traditional suppression by nitrogen oxides in polluted environments, generating oxidants internally. The study reveals that colored organic molecules in biomass-burning aerosols act as photosensitizers, triggering rapid reactions. Why it matters: The findings highlight that current air-quality and climate models underestimate oxidant production from wildfires, with implications for anticipating health risks and environmental impacts in regions like Saudi Arabia.