A dynamic wind field prediction driven atmospheric pollution contribution evaluation method and device

By using a dynamic wind field forecast-driven method, combined with mesoscale meteorological data and surface aerodynamic impedance maps, dynamic near-surface wind fields and pollutant concentration fields are generated. This solves the accuracy and efficiency problems of existing technologies in simulating pollutant concentration distribution and transport paths, and achieves high-precision pollutant diffusion prediction and real-time early warning.

CN121860503BActive Publication Date: 2026-06-30NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Filing Date
2026-03-16
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies are insufficient to accurately simulate pollutant concentration distribution and transport paths near the ground in cities, resulting in poor targeting and timeliness of pollution prevention and control methods. Furthermore, high-precision calculation methods are computationally expensive and cannot meet the needs of real-time assessment and early warning.

Method used

By acquiring mesoscale background meteorological input data and surface aerodynamic impedance maps at sub-city level resolution, a dynamic near-surface wind field is generated. Combined with real-time meteorological data, the data is assimilated, the wind field is dynamically updated, and the pollutant concentration field is simulated. The pollutant transport flux and the contribution of the source to the receiver site are quantitatively calculated.

Benefits of technology

It achieves minute-level resolution and accuracy at the hundred-meter level, enabling rapid and accurate prediction of pollutant diffusion paths, providing real-time early warning services, improving the targeting and real-time nature of pollution prevention and control, and is suitable for low-altitude wind field simulation in complex urban terrain.

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Abstract

This invention discloses a method and apparatus for assessing the contribution of atmospheric pollution driven by dynamic wind field forecasting, belonging to the field of environmental meteorological support technology for urban low-altitude economy. The method includes: acquiring mesoscale background meteorological input data and a surface aerodynamic impedance map at sub-city level resolution for the target area; generating a sub-city scale static near-surface basic wind field based on the impedance map; coupling and updating the background meteorological data and the static wind field to obtain a dynamic near-surface wind field and pollutant concentration field at minute resolution and hexagonal scale; assimilating the data by combining meteorological and pollutant concentration observation data of the target area to obtain a three-dimensional wind field analysis field; simulating the spatial distribution of pollutant plumes based on this analysis field, and quantitatively calculating the pollutant transport flux and the concentration contribution of a designated pollution source to a specified receptor site. This invention improves the accuracy and timeliness of pollution impact assessment and solves the problems of inaccurate assessment and delayed response of existing methods in complex urban environments.
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