Intelligent forecasting methods and systems for stormwater runoff for green infrastructure

Abstract

This invention discloses an intelligent stormwater runoff prediction method and system for green infrastructure, relating to the field of urban stormwater management. The method includes: constructing a runoff reduction effect assessment model and a stormwater runoff dynamic simulation model, and deploying the runoff reduction effect assessment model to edge computing nodes; collecting real-time environmental data sequences through an IoT sensor network, fusing meteorological forecast data to obtain predicted rainfall sequences, inputting these sequences into the runoff reduction effect assessment model, and outputting a runoff reduction potential coefficient; if the runoff reduction potential coefficient is lower than a dynamic adaptive threshold, triggering a stormwater runoff prediction process, uploading the data to the cloud, simulating stormwater runoff evolution, and outputting predicted runoff direction, distribution, and scale; conducting a stormwater risk level assessment, and generating a visualized early warning map integrating risk zoning, warning levels, and decision support strategies. This invention solves the problems of untimely and inaccurate stormwater runoff prediction and poor model adaptability in existing technologies.

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