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Atmospheric visibility prediction method based on neural network and atmospheric visibility prediction system based on neural network

A technology of atmospheric visibility and neural network, applied in the field of atmospheric visibility prediction method and system based on neural network, can solve the problems that cannot reflect the condition of the atmosphere well or completely, and achieve the effect of accurate prediction

Inactive Publication Date: 2018-11-06
BEIFANG UNIV OF NATITIES
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Problems solved by technology

Therefore, these measurements do not reflect well or completely the conditions of the actual atmosphere

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  • Atmospheric visibility prediction method based on neural network and atmospheric visibility prediction system based on neural network
  • Atmospheric visibility prediction method based on neural network and atmospheric visibility prediction system based on neural network
  • Atmospheric visibility prediction method based on neural network and atmospheric visibility prediction system based on neural network

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[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0020] see figure 1 , a neural network-based atmosp...

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Abstract

The invention relates to an atmospheric visibility prediction method based on a neural network and an atmospheric visibility prediction system based on the neural network. The method comprises the steps that the hygroscopic growth factor and the optical microphysical characteristic parameter of the current environment are acquired; and the acquired hygroscopic growth factor and the optical microphysical characteristic parameter are inputted to the pre-trained atmospheric visibility prediction model and the predicted atmospheric visibility is outputted, wherein the atmospheric visibility prediction model is the model based on the neural network. According to the method, the situation that the actual atmospheric condition cannot be greatly or completely reflected because of the experimentalenvironment or field measurement can be avoided, accurate visibility prediction can be realized based on the high nonlinear prediction capacity of the neural network and thus the method and the systemhave certain guiding significance for performing monitoring and early warning and forecasting of low visibility.

Description

technical field [0001] The invention relates to the technical field of atmospheric detection, in particular to a neural network-based atmospheric visibility prediction method and system. Background technique [0002] As an important part of the atmosphere-earth system, aerosol affects the earth-atmosphere radiation budget. Changes in aerosol properties affect many aspects of the atmosphere, such as climate, environment, rainfall, visibility, etc. Hygroscopic properties are one of the main properties of aerosols. Under a certain atmospheric relative humidity, due to hygroscopic properties, the size of aerosol particles may increase, which will change the spectral distribution and related optical and microphysical properties of aerosol particles. In the growth of aerosol moisture absorption, the hygroscopic growth factor is a key parameter, which can be calculated from the ratio of the scattering coefficient at a specific relative humidity to the scattering coefficient at a r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/10
CPCG01W1/10
Inventor 毛建东陈蕾赵虎周春艳巩鑫
Owner BEIFANG UNIV OF NATITIES
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