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Estimation method and device for near-surface ozone spatial distribution, medium and equipment

A space-distributed, near-ground technology, applied in the field of satellite remote sensing, can solve problems such as the inability to meet the needs of ozone concentration monitoring

Pending Publication Date: 2020-12-08
夏石明
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since it is difficult for the sun's ultraviolet rays to reach the bottom of the atmosphere in plain areas, the ultraviolet satellite remote sensing technology cannot meet the needs of ambient air quality for near-surface ozone concentration monitoring.

Method used

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  • Estimation method and device for near-surface ozone spatial distribution, medium and equipment
  • Estimation method and device for near-surface ozone spatial distribution, medium and equipment
  • Estimation method and device for near-surface ozone spatial distribution, medium and equipment

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Embodiment 1

[0046] figure 1 It is a flow chart of the method for estimating the spatial distribution of near-surface ozone provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of estimating the spatial distribution of ozone. distribution estimation means, the means can be implemented by software and / or hardware, and can be integrated in the electronic equipment used for the calculation of ozone spatial distribution.

[0047] Such as figure 1 As shown, the method for estimating the spatial distribution of near-surface ozone includes:

[0048] S110. Acquire feature data; the feature data includes meteorological data and satellite remote sensing data collected in real time.

[0049] In this embodiment, the near ground can be low-altitude ground, such as the space in the troposphere, it can be the space within the range of human production and life on the surface, or the space within the range of 2m from the sampling height of the air quality stat...

Embodiment 2

[0096] image 3 It is a schematic structural diagram of the device for estimating the spatial distribution of near-surface ozone provided by Embodiment 2 of the present invention. Such as image 3 As shown, the estimation device of the near-surface ozone spatial distribution includes:

[0097] Feature data acquisition module 310, used to acquire feature data; said feature data includes meteorological data and satellite remote sensing data collected in real time;

[0098] A data processing module 320, configured to input the feature data into a pre-trained neural network model to obtain an output result of the neural network model;

[0099] The estimation result determining module 330 is configured to determine the estimation result of the spatial distribution of near-surface ozone according to the output result.

[0100] The above-mentioned product can execute the method provided by any embodiment of the present invention, and has corresponding functional modules and benefi...

Embodiment 3

[0102] The embodiment of the present application also provides a storage medium containing computer-executable instructions, the computer-executable instructions are used to perform a method for estimating the spatial distribution of near-surface ozone when executed by a computer processor, the method comprising:

[0103] Obtain feature data; the feature data includes real-time collected meteorological data and satellite remote sensing data;

[0104] Inputting the feature data into a pre-trained neural network model to obtain an output result of the neural network model;

[0105] Based on the output, an estimate of the spatial distribution of near-surface ozone is determined.

[0106] Storage Medium - any of various types of memory electronics or storage electronics. The term "storage medium" is intended to include: installation media such as CD-ROMs, floppy disks or tape drives; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, ...

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Abstract

The embodiment of the invention discloses am estimation method and device for near-surface ozone spatial distribution, a medium and equipment. The method comprises the steps: obtaining feature data, wherein the characteristic data comprises meteorological data and satellite remote sensing data which are acquired in real time; inputting the feature data into a pre-trained neural network model to obtain an output result of the neural network model; and determining an estimation result of near-surface ozone spatial distribution according to the output result. By adopting the scheme, a near-surface ozone concentration estimation result of spatial continuous distribution can be obtained by establishing a near-surface ozone concentration convolutional neural network estimation method based on meteorological data and ozone precursor concentration monitored by a satellite.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of satellite remote sensing, and in particular to a method, device, medium and equipment for estimating the spatial distribution of near-surface ozone. Background technique [0002] With the development of science and technology, remote sensing technology has become the most important detection technology for weather, meteorology, ambient air quality and other space phenomena. Atmospheric ozone accounts for only a few millionths of each component in the air, but it has an important impact on global climate and environmental changes. Therefore, the use of remote sensing technology to detect ozone concentration has become a hot topic in recent years. At present, for example, two commonly used ozone detection methods include thermal infrared remote sensing detection and ultraviolet remote sensing detection. [0003] The ozone detection technology of thermal infrared remote sensing is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G01D21/02
CPCG06F30/27G01D21/02G06N3/045
Inventor 王志宝夏石明宗棕
Owner 夏石明