An atmospheric composite pollution early warning method and device based on super station networking, equipment and medium
By deploying super atmospheric monitoring stations in the target area to monitor and assess secondary pollution data, and using predictive models to warn of the potential formation of secondary pollutants, the problem of low forecast accuracy of chemical transport models has been solved, and high-precision pollution forecasting and management have been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINESE RES ACAD OF ENVIRONMENTAL SCI
- Filing Date
- 2026-04-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing chemical transport models have low accuracy in predicting secondary pollution. Inaccurate data on pollution source emissions, complex atmospheric motion patterns, and difficulties in accurately calculating aerosol and gas-phase chemical reaction mechanisms lead to inaccurate forecast results.
By deploying multiple super atmospheric monitoring stations in the target area, we can monitor secondary pollution-related data, assess the current status, generation potential, meteorological conditions, and three-dimensional transport flux of secondary pollution, use trained prediction models to predict the generation potential of secondary pollutants, and issue pollution warnings based on the generation potential.
It enables accurate prediction of changes in secondary pollutant concentrations, provides forward-looking early warnings, improves forecast accuracy, supports closed-loop management, and achieves efficient control throughout the entire process from status analysis to decision-making.
Smart Images
Figure CN122409953A_ABST