Rapid pollution tracing method applied to boundary observation based on pollution source spectrum library

Abstract

The invention relates to a rapid pollution tracing method applied to boundary observation based on a pollution source spectrum library, and the method comprises the steps: comparing the similarity and / or dissimilarity of each component spectrum and each pollution source spectrum based on similarity comparison according to the pollution source spectrum library and a to-be-analyzed spectrum of boundary observation, and identifying similar pollution sources as potential target pollution sources. According to the rapid pollution tracing method applied to boundary observation based on the pollution source spectrum library, an emission source can be found for an ambient air pollution event found in boundary observation.

Description

technical field [0001] The invention relates to the technical field of atmospheric environment monitoring and traceability, in particular to a rapid pollution traceability method applied to boundary observation based on a pollution source spectrum library. Background technique [0002] In recent years, there have been frequent pollution incidents in chemical industrial parks, and the investigation of complaints from residents around chemical industrial parks has always been an important task that plagues government departments. Ambient air quality in industrial areas, especially VOCs and odor (odor) pollution, has attracted more and more attention. Hours of continuous online monitoring to achieve environmental monitoring and pollution source tracking. The boundary observation refers to the automatic and continuous monitoring device of ambient air installed at the boundary of industrial enterprises or industrial parks, which is used to evaluate the quality of ambient air and...

AI Technical Summary

Problems solved by technology

The traceability method based on physical diffusion relies on the corresponding diffusion model software, and there must be relevant data such as ground conditions and meteorological conditions in the polluted area. The more accurate the traceability model, the higher the accuracy requirements for the corresponding data, and it also has an impact on computer performance. High requirements, the calculation time affects the timeliness of traceability

The traceability method based on chemical components is currently limited to semi-qualitative empirical judgment based on pollution components, and has failed to achieve quantitative comparison between observation data and pollution sources. Whether traceability is reasonable and effective mainly depends on the judge's grasp of pollution sources

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