Early warning method of lake and reservoir eutrophication based on data assimilation

Abstract

The invention provides a lake and reservoir eutrophication early warning method based on data assimilation. The method comprises obtaining satellite remote sensing data monitored at a point in time inthe study area; establishing the hydrodynamic water quality and aquatic ecological process model of the study area; the data assimilation algorithm being used to realize the assimilation of the modelresults and monitoring data, and the hydrodynamic water quality and aquatic ecological process model being used to predict the water quality and realize the lake and reservoir eutrophication early warning. As the ground monitor data are monitored by the invention, the satellite remote sensing data and the monitoring indexes predicted by the hydrodynamic water quality and aquatic ecological process model are fused with multi-source and multi-scale data, in the prediction process of a hydrodynamic water quality and aquatic ecological process model, the uncertainty of a hydrodynamic water quality and aquatic ecological process model is corrected by an assimilation algorithm, which improves the accuracy of lake and reservoir eutrophication early warning comprehensively.

Description

technical field [0001] The invention belongs to the technical field of early warning of eutrophication of lakes and reservoirs, and in particular relates to a method for early warning of eutrophication of lakes and reservoirs based on data assimilation. Background technique [0002] Eutrophication of lakes and reservoirs refers to the excessive intake of nutrients such as nitrogen and phosphorus in lakes and reservoirs, causing abnormal reproduction of algae and other aquatic organisms in the water, changes in water transparency and dissolved oxygen, resulting in deterioration of lake water and accelerated lake aging. As a result, the ecology and water functions of lakes and reservoirs are hindered and destroyed. Early warning and monitoring of the ecological state of lakes and reservoirs is an important means to judge its development trend and formulate corresponding countermeasures. [0003] Existing lake eutrophication early warning methods can only rely on a single data...

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Problems solved by technology

[0003] Existing lake eutrophication early warning methods can only rely on a single data source for monitoring and early warning, resulting in low accuracy of lake eutrophication early warning

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