Method for improving inversion accuracy of sudden atmospheric pollution accident source

Abstract

The invention discloses a method for improving the inversion accuracy of a sudden atmospheric pollution accident source, and belongs to the technical field of sudden accident emergency early warning evaluation. The method is characterized by comprising six steps of data preparation and model determination, model parameter value basis judgment, model parameter sensitivity analysis and identification, high-sensitivity parameter optimization, optimization model simulation performance evaluation and source inversion result evaluation. The core idea of the method is to improve the accuracy of source inversion by optimizing and improving the simulation performance of the diffusion model. According to the method for improving the inversion accuracy of the sudden atmospheric pollution source, on the basis of the collected external field simulation experiment data, the Gaussian smoke plume model serves as an atmospheric diffusion model, application testing is conducted on the method, and the result shows that the method can effectively improve the inversion estimation accuracy of the intensity and position information of the pollution source.

Description

technical field [0001] The invention belongs to the technical field of emergency early warning evaluation of sudden accidents, and relates to a universal method for improving the accuracy of inversion and traceability of accident pollution source information, in particular to an atmospheric diffusion model-parameter sensitivity identification technology-optimization algorithm Theoretical approach to improve the accuracy of sudden air pollution source inversion. Background technique [0002] With the rapid development of my country's economy, sudden air pollution accidents (explosions, fires, leaks, stench, etc.) caused by various production and living activities have risen sharply, posing a huge threat to human health, ecological environment and economic development. Reliable accident source information is of great significance for carrying out pollution prediction and risk assessment of sudden air pollution accidents, and achieving rapid and reasonable emergency response. ...

AI Technical Summary

Problems solved by technology

However, source inversion is an inverse problem involving diffusion models, and the performance of model simulation greatly affects the accuracy of source inversion. However, a systematic technical method to improve the accuracy of source inversion from the perspective of optimizing and improving model simulation performance has not yet been reported.

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