Inversion method of aerogel vertical profile based on laser radar

Abstract

The invention discloses an inversion method of an aerogel vertical profile based on a laser radar. An inversion model of the mass concentration and particle spectrum of the Mie scattering laser radaraerogel is established by combining the working principle of the Mie scattering laser radar and the radiation transmission process of the laser in the atmosphere; the near ground mass concentration ofthe aerogel can be directly inverted from an optical remote-sensing image after computing the aerogel optical thickness through the method disclosed by the invention. By constructing the bridge between the remote-sensing data and the ground monitoring data, the remote-sensing inversion precision is improved, and the bottleneck that the atmosphere remote-sensing can only inverse the aerogel upright concentration is overcome, and the aerogel near ground mass concentration can be obtained by directly inverting, thereby intuitionally evaluating the harm to the human health by the atmospheric pollution, and the significance for the atmosphere remote-sensing is particularly outstanding.

Description

technical field [0001] The invention belongs to the technical field of integral lifting construction, and mainly relates to an inversion method of an aerosol vertical profile based on laser radar. Background technique [0002] Remote sensing satellite monitoring obtains the optical thickness of aerosols, which characterizes the particle column concentration of aerosol particles, that is, the vertical integral of aerosol mass concentration from the ground to the upper air. Since it cannot directly monitor the aerosol mass concentration near the ground, it is difficult to directly assess the harmfulness of air pollution to human health. In addition, remote sensing inversion results often use the surface aerosol mass concentration monitored on the ground as verification data. Therefore, it is difficult to establish a direct relationship between the column concentration of remote sensing inversion and the ground concentration measured by verification data, which affects the accu...

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Problems solved by technology

[0004] One is: use random forest, deep learning, weighted regression analysis, generalized additive model and other empirical statistical models to directly establish the statistical relationship between the aerosol column concentration retrieved by remote sensing and the particle mass concentration at ground monitoring stations, without in-depth understanding of atmospheric mechanisms , but due to the extremely rapid changes in time and space of air pollution, its sources and formation mechanisms are complex and diverse, and its lifespan is mostly only one week, but it can spread across oceans, so there are great changes in the characteristics of vertical, horizontal and temporal distributions characteristics, empirical analysis requires a large amount of data as samples, and the meteorological conditions in Guangdong are more complex, and air pollution monitoring and analysis are more difficult, so the use of ground verification data and remote sensing AOD results to establish empirical relationships has certain limitations

[0005] The second is: the existing active remote sensing methods such as space-borne and ground-based lidar, although the space-borne auroral radar can directly measure the vertical distribution characteristics of the atmosphere, the width of such satellite data is limited, the re-entry period is long, and it is close to the sub-orbit The interval is large, the vertical resolution and horizontal resolution are low, limited by human eye safety and volume, the radar power is extremely low, the signal-to-noise ratio is low, and the state of the instrument is unstable, the algorithm is complex and the inversion accuracy is not good. Stable, unable to meet the requirements of aerosol vertical distribution analysis accuracy, resolution, and scale

[0006] At present, the main problems of ground-based lidar are as follows: First, assuming that the high-altitude aerosol content is relatively thin, the aerosol extinction scattering coefficient is known and used as a boundary value to invert from high-altitude downwards, but the high-altitude signal-to-noise ratio is extremely low. The main purpose of the algorithm relying on the boundary layer is to avoid calculating the radar constant

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