Ozone pollution traceability and verification method combining big data and air quality model

A technology for air quality and verification methods, applied in the field of air pollution control, which can solve problems such as disregarding chemical processes, rough industry contributions, and poor applicability

Pending Publication Date: 2022-04-15
JIANGSU PROVINCIAL ACAD OF ENVIRONMENTAL SCI
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Problems solved by technology

The particle diffusion model method does not consider the chemical process, but only considers the meteorological factors, and the calculation speed is fast, but it is not suitable for the ozone mainly from the secondary generation of VOCs and nitrogen oxides.
The CAMx-OSAT model traceability method can only obtain key contribution areas and relatively rough and industry contributions, and it is difficult to specify specific contributing companies
The mobile VOCs mass spectrometer has a small coverage and can only monitor abnormal high-value points within the navigation route, and the monitoring cost is high

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  • Ozone pollution traceability and verification method combining big data and air quality model

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] Please refer to figure 1 , figure 2 ,in, figure 1 The basic flow chart of the ozone pollution traceability and verification method for the combination of big data and air quality model provided by the present invention; figure 2 The specific flow chart of the ozone pollution traceability and verification method provided by the present invention for the combination of big data and air quality model. The traceability and verification method of ozone pollution using big data and air quality model includes the following steps:

[0029] S1: Based on historical air quality monitoring data, analyze sites with high ozone concentrations under typical pollution processes;

[0030] S2: Use the CAMx-OSAT model to determine the key contribution areas and industries that affect the site;

[0031] S3: Superimpose the traceability results on the local ref...

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Abstract

The invention provides a big data and air quality model combined ozone pollution source tracing and verification method. The big data and air quality model combined ozone pollution traceability and verification method comprises the following steps: S1, analyzing ozone concentration high-value sites in a typical pollution process based on historical air quality monitoring data; s2, using a CAMx-OSAT model traceability model to determine key contribution areas and industries affecting the site; and S3, superposing the traceability result with a local refined emission list and industrial park space distribution information, carrying out correlation analysis, and screening VOCs and NOx high-emission pollution sources and industrial parks in the key contribution area. According to the ozone pollution traceability and verification method combining the big data and the air quality model, the air quality model technology is combined with big data information such as air quality monitoring, emission list, pollution source monitoring and industrial enterprise electricity consumption monitoring, and traceability is accurate.

Description

technical field [0001] The invention relates to the technical field of air pollution control, in particular to a traceability and verification method for ozone pollution using big data and an air quality model. Background technique [0002] Since 2013, the national average annual concentration of PM2.5 has dropped by 43%, and the average number of heavy pollution days has been reduced from 29 days to 5 days. However, from 2013 to 2017, the average concentration of ozone in 74 major cities across the country increased by 20%, and ozone is becoming a new problem in the prevention and control of air pollution. [0003] The current traceability methods for ozone pollution are mainly the particle diffusion model method, the CAMx-OSAT model traceability method, the mobile VOCs mass spectrometry monitoring method, or a combination of the above methods. The particle diffusion model method does not consider the chemical process, but only considers meteorological factors, and the cal...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00
CPCY02A50/20
Inventor 李荔赵秋月刘倩张洁夏思佳
Owner JIANGSU PROVINCIAL ACAD OF ENVIRONMENTAL SCI
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