Quantitative evaluation method and device for ozone pollution, computer equipment and storage medium

Abstract

The invention discloses a quantitative evaluation method and device for ozone pollution, computer equipment and a storage medium, and the method comprises the steps: carrying out the quantitative evaluation of ozone pollution based on the change data of ozone concentration before and after the emission reduction of an ozone precursor in a target region, and obtaining a quantitative evaluation result; according to the quantitative evaluation method provided by the embodiment of the invention, the preset ozone pollution analysis system which is automatically integrated by the optimized preset air quality model is introduced; since the preset optimization mode can be used for improving the data processing performance of the preset air quality model, compared with an existing simulation process, based on the same test environment and case, simulation is performed through the preset ozone pollution analysis, so that an ozone pollution quantitative evaluation result can be accurately obtained, the simulation process can be effectively accelerated, and the simulation efficiency is improved. And the time required by simulation is greatly shortened.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a quantitative evaluation method, device, computer equipment and storage medium for ozone pollution. Background technique [0002] In recent years, domestic scholars have carried out a lot of research on ozone pollution control and pollution attribution, including ozone pollution situation and control methods, coordinated control of ozone and PM2.5, ozone sensitivity analysis and pollution source analysis, joint prevention of ozone pollution Joint control technology, ozone pollution prevention technology and management system and many other fields. [0003] The above related research provides important theoretical basis and scientific and technological support for the understanding of the causes of ozone pollution, development trends and pollution laws, clarification of the interaction between ozone and PM2.5, and the identification of the coordinated control mechanism of ozone...

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned existing HDDM method, although more computationally efficient than the brute-force method, requires far more CPU time and memory space than the latter on the basis of standard CAMx operation, and it can be used in multiple source categories and multi-source regions. This is especially evident when many primary and secondary sensitivities are required in the nested grid operation of

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