Particulate matter concentration prediction method and device, storage medium and electronic equipment

Abstract

The invention relates to a particulate matter concentration prediction method and device, a storage medium and electronic equipment. The method comprises the steps of acquiring an aerosol optical thickness AOD remote sensing image map at the current moment in a target area; obtaining a target aerosol optical thickness from the AOD remote sensing image map, the target aerosol optical thickness being an aerosol optical thickness of a corresponding pixel of a target to-be-measured position in a target area in the AOD remote sensing image map; obtaining target data of a target environment influence factor at a target to-be-measured position; and taking the target aerosol optical thickness and the target data as the input of a pre-trained particulate matter concentration prediction model to obtain the particulate matter concentration at the target to-be-measured position. Therefore, the continuous spatial distribution of the near-surface particulate matter concentration can be accurately estimated by simultaneously fusing the ground air quality monitoring data, the satellite remote sensing data and the target environment influence factor data, so that a reliable data basis can be provided for comprehensively treating environmental problems.

Description

technical field [0001] The present disclosure relates to the field of air quality monitoring, and in particular, to a method, device, storage medium and electronic equipment for predicting particle concentration. Background technique [0002] The air pollution problem caused by particulate matter represented by PM2.5 has become the most urgent and prominent environmental problem in my country at present, and the severity of its psychological and physical health hazards to the public has aroused widespread concern in the society. [0003] At present, most of the accurate acquisition of particulate matter concentration in the air depends on ground air quality monitoring stations. However, the spatial distribution of ground air quality monitoring stations in my country's current national urban ambient air quality monitoring network is extremely uneven, mainly in urban areas or suburban areas, and slightly remote. There are no monitoring points in towns and villages. As a result...

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Problems solved by technology

[0003] At present, most of the accurate acquisition of particulate matter concentration in the air depends on ground air quality monitoring stations. However, the spatial distribution of ground air quality monitoring stations in my country's current national urban ambient air quality monitoring network is extremely uneven, mainly in urban areas or suburban areas, and slightly remote. of towns and villages do not have surveillance sites

As a result, there are still many "blind spots" in air quality evaluation, air pollution prevention and control, and precise haze control.

Therefore, the current method of obtaining the concentration of particulate matter in the air cannot accurately obtain the concentration of particulate matter in each location, and cannot meet the current needs of air pollution prevention and control

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