In the heart of Taipei, a cutting-edge solution is emerging to combat the growing threat of flash floods, offering a blueprint for cities worldwide to enhance resilience and operational efficiency. Dr. Li-Chiu Chang from Tamkang University’s Department of Water Resources and Environmental Engineering has spearheaded the development of an Intelligent Flood Control Decision Support System (IFCDSS), an AI-driven innovation that is redefining urban flood management.
The IFCDSS is a sophisticated integration of machine learning, multi-objective optimization, and adaptive pump control, designed to provide real-time flood forecasting and automated operational responses. “Our system leverages real-time sensor data to deliver accurate water level forecasts within seconds,” explains Dr. Chang. “This enables proactive and informed decision-making, which is crucial for mitigating flood risks and optimizing energy usage.”
The system’s implementation at the Zhongshan Pumping Station catchment has demonstrated its scientific soundness and practical utility. The IFCDSS’s adaptive neuro-fuzzy inference system (ANFIS) achieved strong accuracy in pump control, with most prediction errors limited to a single pump unit. While conventional manual operations slightly outperformed the IFCDSS in minimizing flood peaks, the AI-driven system excelled in balancing multiple objectives: flood mitigation, energy efficiency, and operational reliability.
This multi-faceted approach is particularly significant for the energy sector. By optimizing pump operations, the IFCDSS can substantially reduce energy consumption, leading to cost savings and a smaller carbon footprint. “The IFCDSS doesn’t just focus on flood control; it’s about creating a sustainable, climate-adaptive urban environment,” says Dr. Chang. “It’s a holistic approach that benefits both the city and its inhabitants.”
The research, published in the journal ‘Smart Cities’ (translated as ‘智慧城市’), highlights the transformative potential of intelligent flood control. As climate change continues to intensify extreme weather events, such innovative solutions will be crucial for enhancing urban resilience. The IFCDSS offers a robust and adaptable framework that could be replicated in cities around the world, shaping the future of urban flood management and promoting sustainable development.
This study underscores the importance of integrating advanced technologies into urban infrastructure. By doing so, cities can not only mitigate the impacts of climate change but also optimize their operations, leading to more efficient and sustainable urban environments. The IFCDSS is a testament to the power of AI and data-driven decision-making, paving the way for smarter, more resilient cities.