A boundary layer PM2.5 detection method

Abstract

The invention relates to the technical field of air detection, in particular to a boundary layer PM2.5 detection method, including boundary layer division, floating ball setting, stagnant area detection, data set coupling and floating ball recovery; Including power mechanism, acquisition components, information modules and controllers; due to the flow characteristics of the boundary layer atmosphere, the distribution of pollutants is in a chaotic state, the use of optical radar sampling is limited by the region, and it is difficult to obtain high-precision measurement results using remote sensing satellites , weakening the accuracy of PM2.5 detection; therefore, the present invention sets the divided boundary layer range by setting the floating ball, and the dynamic mechanism in the buoyancy ball is suspended at different heights in the boundary layer for use in In the operation of the acquisition module, the bogie and the hollow tube in the sampling cylinder are used to detect PM2.5 multiple times at different heights in the boundary layer, and the additional measurement data is transmitted in real time through the information modules, thereby improving the boundary layer PM2. 5. Application effect of detection method.

Description

technical field [0001] The invention relates to the technical field of air detection, in particular to a boundary layer PM2.5 detection method. Background technique [0002] The atmospheric boundary layer is close to the earth's surface and is mainly affected by the interaction between the earth and the atmosphere and the air pollution. The turbulent vertical exchange is its distinctive feature. As the air layer where air pollution mainly occurs, the boundary layer has a significant impact on the diffusion and accumulation of air pollutants. PM2.5 in pollutants refers to particulate matter with aerodynamic equivalent diameter less than or equal to 2.5 microns in ambient air. It can be suspended in the air for a long time. The higher its concentration in the air, the more serious the air pollution is, and the longer the residence time in the atmosphere and the longer the conveying distance, the greater the impact on human health and the quality of the atmospheric environment....

AI Technical Summary

Problems solved by technology

[0003] At present, the detection of PM2.5 in the atmosphere includes the methods of optical ray absorption and micro-vibration balance, all of which need to effectively collect PM2.5 particles, and the boundary layer in the atmosphere has a certain height and is in the process of change. The distribution of matter is different from the atmosphere on the surface. The use of optical radar is limited by the sampling area and produces high costs. It is difficult to obtain high-precision measurement results by using remote sensing satellites, which weakens the accuracy of PM2.5 detection data.

[0004] There are also some technical solutions about the PM2.5 detection method in the boundary layer in the prior art. For example, a Chinese patent with the application number 2012103843325 discloses an automatic reflection of the PM2.5 mass concentration based on a sun photometer and a laser radar. Algorithm, first use the sun photometer to obtain the optical thickness of the entire layer of atmospheric aerosol based on the sun photometer, use the echo signal of the lidar, after correcting the distance and relative humidity, and invert the algorithm to obtain the entire layer of the atmosphere based on the lidar Sol extinction coefficient and aerosol optical thickness, and then use the ideal curve fitting to determine the boundary layer height, obtain the aerosol optical thickness in the boundary layer, and finally use the above results to obtain the PM2.5 mass concentration value according to the model; the technical solution uses a solar photometer Combined with the aerosol extinction coefficient profile and optical thickness value obtained by lidar, combined with ground relative humidity correction and boundary layer height information, the PM2.5 mass concentration value near the ground is obtained, which has small error, high discrimination and strong universality. Advantages; however, the optical lidar used in this technical solution has a high cost of use and is not convenient to use at multiple atmospheric measurement points. At the same time, it is necessary to calculate the concentration of pollutants through a data model, which increases the detection data of PM2.5 offset

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