Dynamic decision-making method and device for ozone pollution prevention and control

Abstract

The invention discloses a dynamic decision-making method and device for ozone pollution prevention and control. According to the method and the device, an ozone pollution prevention and control dynamic decision-making technical route of monitoring and early warning, ozone source analysis, decision-making evaluation and standard reaching and performance is realized. And establishing a measure library according to the emission list, and continuously evaluating and optimizing the measure library through the effect of scene simulation. The local list and the regional list are fused to realize refined and quick source tracing of ozone and precursors thereof; multi-dimensional comprehensive source analysis of models, observations and lists is realized, and key emission areas and key pollution industries are accurately judged; and quick evaluation and dynamic optimization of ozone pollution standard reaching planning are realized. By means of three-dimensional monitoring, emission lists, numerical simulation, emergency emission reduction technologies and the like, ozone pollution sources are subjected to multi-dimensional analysis, source contributions of local areas, surrounding areas and pollution industries are quantitatively analyzed, and key causes of urban ozone pollution are recognized.

Description

technical field [0001] The invention relates to air pollution forecasting and prevention technology, more specifically, the invention relates to a dynamic decision-making method and device for ozone pollution prevention and control. Background technique [0002] Ozone is one of the main components of urban photochemical smog. It is the oxidation product of primary pollutants through a series of photochemical reactions. Its production leads to the enhancement of atmospheric oxidation and accompanying PM 2.5 The following secondary fine particle pollution. The formation and change of near-surface ozone are mainly related to the emission of precursor pollutants such as nitrogen oxides (NOx) and volatile organic compounds (VOCs) emitted by human activities, including automobile exhaust emissions, petrochemical, material synthesis and other industrial processes emissions from fuel combustion in power plants and other industrial enterprises, emissions from biomass combustion, etc...

AI Technical Summary

Problems solved by technology

Ozone pollution in cities has become one of the key factors restricting the improvement of air quality and reaching standards. However, as a typical secondary pollutant, ozone has a very complicated reaction process and formation mechanism, especially in different regions with different economic and industrial structures and emission characteristics. However, there is no systematic research on the reaction mechanism and corresponding control strategies related to ozone.

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