Multi-model meta-synthesis flood forecasting system and forecasting method thereof

Abstract

The invention discloses a multi-model meta-synthesis flood forecasting system which comprises a data integration module, component integration module, model integration module, scheme integration module and a result publishing module, wherein the data integration module, the component integration module, the model integration module, the scheme integration module and the result publishing module are sequentially connected. The invention also discloses a method for flood forecast by utilizing the multi-model meta-synthesis flood forecasting system, comprising the following steps of unifiedly treating historical or real-time hydrological data through the data integration to enable the hydrological data to accord with the use specifications and the requirements of the component integration; packaging each set of obtained data into a plurality of components according to the needs of a constructed framework; obtaining a plurality of flood forecasting models by respectively setting up the plurality of components on the basis of the structure requirements of the models and obtaining corresponding flood forecasting results; obtaining a final forecasting result and a final forecasting scheme by treating the plurality of flood forecasting results in a unified way; and publishing the final result. The method realizes rapid setting up of various flood forecasting models and can provide a plurality of schemes and scheme optimizations.

Description

technical field [0001] The invention belongs to the technical field of combination of flood forecasting and computer, and specifically relates to a multi-model integrated flood forecasting system, and also relates to a flood forecasting method using the multi-model integrated flood forecasting system. Background technique [0002] There are several problems in the application of traditional flood forecasting methods: On the one hand, they are often limited to a certain watershed, a section of river, a section, and a reservoir, and the forecasting model itself is "deadly" bound to its system , which limits the flexibility of the model. If you want to apply the model to another watershed or river section, it can be said that there is no other way but to redo the system, which is very unfavorable for the promotion of the model. On the other hand, the application of flood forecasting models often stays in the application of a single model of a certain watershed or river course. ...

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Problems solved by technology

[0002] There are several problems in the application of traditional flood forecasting methods: On the one hand, they are often limited to a certain watershed, a section of river, a section, and a reservoir, and the forecasting model itself is "deadly" bound to its system , which limits the flexibility of the model. If you want to apply the model to another watershed or river section, it can be said that there is no other way but to redo the system, which is very unfavorable for the promotion of the model

For the flood forecasting of a certain river basin, there are more than one optional models. If the conditions are ripe, these models can be used for forecasting, and the forecasting effect is good. It is difficult to determine which method to choose for forecasting.

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