Integrating AI Tools into Sponge City Concepts for Enhanced Flood Prevention and Mitigation: A Case Study of the Asahi River

Abstract

The core idea of sponge cities is to enhance urban water management by creating systems that absorb, store, and release water in a controlled way. These systems are designed to mitigate urban flooding as well as improve water quality and biodiversity. This paper explores how flood control elements within (sponge) cities could be optimized using advanced technologies like SAM, Hydro-STIV, and Random Forest. SAM was used for land cover classification, STIV and Hydro-STIV for estimating the flow velocity and Random Forest for water level prediction. The proposed methodology offers a path toward smarter and resilient cities.