ETRI and Busan City Launch Demonstration of AI and Digital Twin-Based Urban Flooding Prediction Platform

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ETRI and Busan City Launch Demonstration of AI and Digital Twin-Based Urban Flooding Prediction Platform

Published2026.08.19 09:29

Five-Year 33.8 Billion Won Project Leading Development of Hybrid Flooding Prediction Model

As climate change causes repeated damage from concentrated heavy rainfall in cities, domestic research institutions have begun in earnest to develop an integrated platform that detects and predicts urban flooding risks in advance by combining AI and digital twin technologies.

The Electronics and Telecommunications Research Institute (ETRI) announced on the 19th that it has launched demonstration of 'AI-Based Extreme Rainfall Response Platform Technology Development' jointly with Busan Metropolitan City, Korea Institute of Civil Engineering and Building Technology (KICT), Korea Institute of Geoscience and Mineral Resources (KIGAM), and Korea Railroad Research Institute (KRRI).

This project is part of the National Science and Technology Research Council (NST) convergence-type basic research program 'Digital Urban Flood Control Technology Development for Realization of Flood-Resilient Cities (No WET City)', and will be implemented over five years from 2025 to 2029.

The total project budget is approximately 33.8 billion won, with ETRI's allocated budget of 8.7 billion won.

The participating institutions signed a letter of intent (LOI) at Busan Metropolitan City Hall in March.

Development of Hybrid Urban Flooding Prediction Model

ETRI will lead the development of AI-based risk detection and urban flooding prediction technologies in this project.

The research team plans to develop core AI platform technologies that comprehensively analyze rainfall information, CCTV footage, sewer networks, retention facilities, topographical and facility information, sensor data, and past flooding history.

In particular, through a 'hybrid urban flooding prediction model' that combines physical simulation with AI, the team aims to replicate actual urban drainage flow and inundation patterns in a digital environment and detect and predict risk situations at an early stage.

Major technologies being developed by ETRI include △AI-based urban flooding risk detection △AI-based urban flooding prediction △physics and numerical analysis-based simulation △complex disaster scenario generation △digital standard operating procedure (SOP) services, etc.

Role Distribution by Institution and Expansion Goals

Busan Metropolitan City will provide sewer network, topographical, and flooding history data and will implement on-site demonstrations in stages focusing on chronic flood-prone areas.

KICT will be responsible for urban infrastructure-linked flood prediction and control technologies, while KIGAM will manage 4D urban geological environment-based geological disaster response platforms.

KRRI will develop extreme rainfall response technologies for railroad infrastructure, expanding cooperation scope to urban transportation safety fields.

Jang Yoon-seop, principal researcher at ETRI's Disaster Safety ADX Research Center, stated, "We expect AI and digital technologies to become key means of protecting citizens' lives and property," and added, "ETRI will concentrate its ICT technology capabilities in making Busan a representative model of a climate crisis response smart safe city."

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