Ozone concentration estimation method fusing satellite remote sensing and ground monitoring data

Abstract

The invention discloses an ozone concentration estimation method fusing satellite remote sensing and ground monitoring data, and belongs to the technical field of environment monitoring. The method comprises the steps of 1, collecting, preprocessing and fusing multi-source sample data to obtain input parameters; 2, based on a multilayer mapping back propagation neural network, establishing an ozone concentration estimation operation basic model; and 3, based on the influence factors, the forward time and the spatial range, searching an optimal input parameter combination of the obtained ozone concentration estimation operation basic model, and accurately estimating the ground ozone concentration according to the obtained optimal input parameter combination to obtain the spatial continuous distribution condition of the ozone concentration, and realize the ozone concentration estimation method fusing satellite remote sensing and ground monitoring data. The method has the advantages of high accuracy, high reliability and simplicity in operation, the used multi-source sample data are free and open-source, the universality is enhanced, the ozone concentration can be quickly estimated, and a continuous distribution diagram of the ozone concentration in a target area can be drawn.

Description

technical field [0001] The invention belongs to the technical field of environmental monitoring and relates to a method for estimating ozone concentration by fusing satellite remote sensing and ground monitoring data. Background technique [0002] With the acceleration of urbanization and industrialization, the problem of air pollution is becoming more and more serious. Ozone has become the primary pollutant affecting ambient air quality, and directly affects human physical and mental health. Therefore, monitoring and revealing the regularity of the continuous distribution of ozone in time and space is of great significance to the prevention and treatment of ozone pollution and its harm to health. [0003] At present, common ozone monitoring methods include ground monitoring and remote sensing monitoring. Ground monitoring is based on monitoring stations for all-weather continuous observation, which can directly obtain accurate information on the ozone concentration in the ...

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Problems solved by technology

[0004] In order to overcome the shortcomings of the above-mentioned prior art, the object of the present invention is to provide a method for estimating ozone concentration by fusing satellite remote sensing and ground monitoring data. The method for estimating ozone concentration based on machine learning has high accuracy, strong reliability and simple operation , which solves the problems of high uncertainty and complex calculation of the conclusions obtained by the existing ozone concentration estimation methods

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