KAUST and Saudi Aramco collaborated to develop a laser-based sensor for detecting trace amounts of gas leaks in petrochemical plants. The sensor uses machine learning to identify specific gases, differentiating it from previous sensors that only detect large leaks. The technology can differentiate between closely related industrial gases like benzene, toluene, ethyl benzene and xylene (BTEX). Why it matters: This innovation enables proactive monitoring and rapid pinpointing of leaks, enhancing safety, environmental protection, and operational efficiency in the petrochemical industry.
Technology Innovation Institute (TII) has developed a drone-based Synthetic Aperture Radar (SAR) system capable of detecting underground water leaks at depths of up to 40 meters. The system uses P-, L-, and C-band radar signals to identify anomalies in soil moisture and subsurface disturbances. The SAR technology was previously validated for archaeology and infrastructure and is now optimized for sandy environments. Why it matters: This innovation offers a more efficient and sustainable method for monitoring infrastructure, reducing water loss and maintenance costs for utilities across the region.
KAUST researchers led by Atif Shamim have developed a low-cost, 3D-printed wireless sensor node for real-time environmental monitoring. The disposable sensor nodes can detect noxious gases, temperature, and humidity, and have been tested in the lab and field, surviving drops and temperatures up to 70°C. The system aims to saturate high-risk areas with these sensors, linked wirelessly to fixed nodes that raise alarms. Why it matters: This innovation provides a cost-effective solution for large-scale environmental monitoring, addressing the limitations of expensive fixed sensors and satellite monitoring, and potentially revolutionizing early warning systems for wildfires and gas leaks in the region.
KAUST researchers developed a laser-based sensor that exploits the "chirp" phenomenon in semiconductor lasers to accurately measure gas temperature in combustion systems. The sensor uses spectroscopic measurements at very fast rates (1.0 MHz) and can measure temperature at the nanosecond timescale at repetition rates of thousands of kHz. The new sensor reduces uncertainty compared to previous methods and works rapidly in transient shock tube experiments. Why it matters: This in-house development provides a non-invasive, accurate, and easily implementable system for combustion research, with implications for understanding and improving energy efficiency.
KAUST researchers are collaborating with the Saudi Ministry of Environment, Water & Agriculture (MEWA) to develop sensor technology for early detection of red palm weevils. The weevil larvae cause significant damage to palm trees by hollowing them out from the inside. Early detection is crucial because visible signs of distress indicate advanced infection and low chances of rescue. Why it matters: This research aims to protect date farming and crops, which are a vital economic resource for Saudi Arabia and the broader region.
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.