Method and system for predicting drift and diffusion of pollutants in estuary area

Abstract

The invention relates to the field of pollutant detection, and provides an estuary region pollutant drift and diffusion prediction method and system, and the method comprises the steps: S1, obtaining pollutant concentration background field data, wind field background field data and river monitoring data of an estuary region; s2, predicting the river monitoring data through deep learning to obtain pollutant concentration; s3, predicting the river monitoring data to obtain predicted flow; s4, the predicted flow and the wind field background field data are input into the wind wave flow coupling model, and atmosphere drive and flow field drive are obtained; and S5, inputting the pollutant concentration background field data, the flow field drive, the atmosphere drive and the pollutant concentration into the pollutant three-dimensional transportation model for prediction, and obtaining an estuary region pollutant drift and diffusion prediction result. According to the method, the prediction efficiency and quality are fully considered, the speed and accuracy of the pollutant three-dimensional transportation model can be further improved in combination with the wind wave flow coupling model, and the timeliness and accuracy of estuary region pollutant drift diffusion numerical prediction are effectively improved.

Description

technical field [0001] The invention relates to the field of pollutant detection, in particular to a method and system for predicting the drift and diffusion of pollutants in an estuary area. Background technique [0002] In recent years, with the economic development, the pollution problem in estuary area has become increasingly prominent. The simulation of pollutant drift and diffusion in estuary area can provide theoretical guidance, technical reference and data support for estuary pollutant prediction, emergency response and environmental damage assessment. Pollution in estuarine areas plays a vital role. On the one hand, due to the huge amount of data, the traditional simulation of pollutant drift and diffusion in the estuary area has low prediction timeliness. Considering the interaction among the three will lead to the limited accuracy of the prediction results of the three-dimensional transport model of pollutants. [0003] The above content is only used to assist ...

AI Technical Summary

Problems solved by technology

On the one hand, due to the large amount of data, the traditional simulation of pollutant drift and diffusion in estuaries has low timeliness in prediction. Considering the interaction among the three will lead to limited accuracy of the prediction results of the three-dimensional transport model of pollutants

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