Improving urban flood forecasting with real-time hazardous rainfall detection
The Korea Institute of Civil Engineering and Building Technology (KICT) announced that it will apply its early detection technology for quasi-stationary linear rainbands and sudden localized torrential rainfall to the Urban Flood Forecasting Platform operated by the Han River Flood Control Office in Korea for urban flood forecasting.
The Korea Institute of Civil Engineering and Building Technology (KICT) is set to deploy advanced early detection technology to enhance urban flood forecasting in South Korea. The Han River Flood Control Office will integrate KICT's technology, designed to identify quasi-stationary linear rainbands and sudden localized torrential rainfall, into their Urban Flood Forecasting Platform.
As climate change intensifies extreme rainfall events, the risk of urban flooding escalates, particularly due to the capacity of urban drainage systems being overwhelmed by heavy rainfall.
KICT's technology, which has been part of the Urban Flood Forecasting Task Force since November 2025, analyzes meteorological data from weather radars to monitor and predict hazardous weather conditions. This real-time detection allows for the identification and tracking of rainband formation and the development of torrential rain, providing critical information to support rapid assessment and decision-making for potential urban flood risks.
Dr. Yoon Seong-Sim of KICT emphasized that this application of hydrometeorological technology directly benefits urban water disaster response, potentially offering up to two hours of advanced flood prediction once the AI-based system is fully developed, thereby enabling faster response times.
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