Artificial Intelligence Explored for Enhancing Urban Flood Management and Prediction
Artificial intelligence (AI) is being increasingly recognized for its potential to significantly improve urban flood management and prediction. Traditional flood management methods, which rely on fixed infrastructure, historical data, and reactive interventions, are often insufficient to address the complex and rapidly changing conditions of modern urban environments. AI technologies, including machine learning, predictive analytics, remote sensing, Internet of Things (IoT) networks, natural language processing, and image analysis, offer new opportunities. These technologies can process large and diverse datasets, identify intricate patterns, generate predictions, and support decision-making in near real-time. Applications range from more accurate flood forecasting and dynamic risk assessment to optimized drainage operations and timely public communication. The expansion of urban areas often leads to more impervious surfaces, such as roads and rooftops, which reduce natural water infiltration and increase ...
