Flood forecasting method based on time sequence attention mechanism

Abstract

The invention belongs to the technical field of data-driven water flow forecasting, and discloses a flood forecasting method based on a time sequence attention mechanism, which comprises the following steps of: firstly, collecting hydrological data of studied medium and small watersheds, and then inputting the collected hydrological historical data into a model after data preprocessing; secondly, performing data cleaning, data conversion, data set division and the like on the hydrological historical data; thirdly, constructing a flood forecasting model based on a time sequence attention mechanism; inputting test data to test the performance of the forecasting model, judging whether the network performance meets requirements or not, and if not, adjusting parameters until an ideal forecasting result is achieved; and finally, analyzing the model through an evaluation standard, and completing flood forecasting. The method has the beneficial effects that the flood peak precision and the flood trend can be effectively forecasted, and the method is an effective tool for forecasting the flood of medium and small rivers in real time.

Description

technical field [0001] The invention relates to the technical field of data-driven water flow forecasting, in particular to a flood forecasting method based on a temporal attention mechanism. Background technique [0002] my country is one of the countries with severe flood disasters in the world. Especially in 2020, according to the report of the Ministry of Water Resources, my country's flood disasters caused 63.46 million people to be affected, and the direct economic loss reached 178.96 billion yuan. Flood forecasting is one of a series of important non-engineering measures to prevent flood disasters. Timely and effective flood warning and forecasting of small and medium-sized rivers can help humans effectively defend against floods and reduce flood losses, which is an important application of disaster prevention and mitigation. Floods in small and medium-sized watersheds have the characteristics of strong suddenness, fast confluence time, and short forecast period. At ...

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Problems solved by technology

[0004] Aiming at the lack of adaptability and accuracy of existing intelligent flood forecasting models in real-time forecasting of small and medium-sized rivers, the purpose of the present invention is to propose a flood forecasting method based on an attention mechanism, which can effectively forecast flood peak accuracy and flood trends. An effective tool for real-time flood forecasting

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