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GCC AI Research

Here’s one way to protect Earth’s groundwater: guard it from space

KAUST · · Notable

Summary

KAUST's Hydrology and Land Observation (Halo) lab, led by Matthew McCabe, is using drones and satellites to monitor agricultural water usage in Saudi Arabia. They employ thermal cameras, sensors, and imagery from CubeSats to map crop types, health, and water stress. The team uses machine learning and AI to analyze the images, aiming to promote sustainable water management. Why it matters: This research addresses critical water scarcity issues in the region by providing data-driven insights for more efficient agricultural practices.

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Groundwater composition as potential precursor to earthquakes

KAUST ·

KAUST researchers collaborated on a study in Iceland that found a correlation between changes in groundwater composition and earthquakes greater than magnitude 5. The study, published in Nature Geoscience, observed variations in dissolved element concentrations and stable isotopes prior to seismic events in 2012 and 2013. Earthquake prediction remains a challenge with differing views among scientists about its feasibility. Why it matters: Understanding earthquake precursors could lead to improved risk mitigation strategies for urban infrastructure in seismically active regions across the Middle East.

Growing more with less

KAUST ·

A KAUST and King Abdulaziz University research team is using superhydrophobic sand to grow crops like tomatoes with less water. Superhydrophobic sand reduces water consumption in agriculture, the world's largest consumer of freshwater. The sand was developed by KAUST's Himanshu Mishra and Ph.D. student Adair Gallo Junior. Why it matters: This research offers a promising solution for water conservation in agriculture, especially in arid regions like the Arabian Peninsula, addressing critical water security challenges.