Intelligent flood forecasting method and device based on FQI-DMTSNet adaptive generative adversarial mechanism and readable storage medium thereof

Abstract

The invention provides an intelligent flood forecasting method and device based on an FQI-DMTSNet self-adaptive generative adversarial mechanism and a readable storage medium thereof.According to the method, data are preprocessed through multi-source data fusion and assimilation, time sequence features are extracted through a dynamic hierarchical multi-scale time sequence sensing network (DMTSNet), a scheduling strategy is optimized by combining fitting value iteration (FQI) reinforcement learning, and the real-time flood forecasting method based on the FQI-DMTSNet self-adaptive generative adversarial mechanism is obtained. And data enhancement and data-free area parameter migration are realized by means of an adaptive feature-gated generative adversarial network (AFG-GAN), so that a closed-loop collaborative forecasting system is formed. The problems that a traditional model is high in dependence on data, poor in extreme scene adaptability and the like are solved, data-free area parameter generation, extreme scene sample enhancement and regulation and control strategy optimization are achieved, the accuracy, adaptability and practicability of flood forecasting are improved, and the method is suitable for flood forecasting, hydrological dispatching, urban inland inundation early warning and other scenes.

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