The Korea Institute of Civil Engineering and Building Technology (KICT) has announced that it will integrate its early detection technology for quasi-stationary linear rainbands and sudden localized torrential rainfall into the Urban Flood Forecasting Platform, managed by the Han River Flood Control Office in South Korea. This platform is designed to improve urban flood forecasting, especially as extreme weather events linked to climate change are becoming more common. These events increase the risk of urban flooding, which can disrupt daily life and pose serious safety threats. Linear rainbands are narrow, elongated areas of precipitation that stay relatively stationary over a region, often producing heavy rainfall. This kind of rain can exceed the drainage capacity of cities, leading to flooding. Similarly, sudden and intense rainfall in a small area can quickly raise water levels in urban streams, causing flash floods, fast-moving currents, and even people being trapped by rising waters. To address these risks, a KICT research team has been working with the Ministry of Climate, Energy and Environment since November 2025 as part of the Urban Flood Forecasting Task Force. Their work has focused on reviewing key technologies and setting up operational procedures for the platform. The team has already applied its hazardous rainfall detection technology to the Urban Flood Forecasting Platform, which is currently being tested in areas like Gangnam and Kwanak in Seoul. This technology analyzes the meteorological patterns of linear rainbands and sudden torrential rain to detect and predict dangerous weather conditions that could lead to water-related disasters. Using only data from weather radar, the system can identify the formation and movement of rainbands, as well as the development and potential dangers of sudden heavy rainfall, in real time. The Urban Flood Forecasting Platform provides real-time information about these weather patterns, helping officials identify the likelihood of hazardous conditions and make quick decisions to prevent urban flooding. This early warning system gives city planners and emergency responders more time to act proactively. Dr. Yoon Seong-Sim of KICT noted that this project demonstrates how the institute's hydrometeorological technology can be applied to real-world flood response efforts. She also mentioned that once the AI-based hazardous rainfall prediction system is fully developed, it could provide flood forecasts up to two hours in advance, significantly improving response times and safety in urban areas.