Ozone concentration prediction model coupled with landscape pattern

Abstract

The invention discloses an ozone concentration prediction model coupled with a landscape pattern, which is characterized in that an ozone concentration multiple regression model module is constructed by taking an index value of a sampled urban landscape pattern as basic data, and the input end of the multiple regression model module is connected with the output end of a collinearity analysis unit; the input end of the collinearity analysis unit is connected with the output end of the data processing unit, the data processing unit is in bidirectional connection with the data verification unit, and the output end of the collinearity analysis unit is connected with the input end of the correlation analysis unit. The invention relates to the technical field of ozone concentration prediction. According to the ozone concentration prediction model coupled with the landscape pattern, ozone concentration values in spatial distribution are obtained through an interpolation technology, different buffer area ranges are delimited, ozone values in the ranges are measured, correlation analysis and multiple regression modeling are carried out on the ozone values based on different buffer areas. Therefore, a proper buffer area range is determined, the correlation between the urban landscape index and the ozone concentration is explored, and the ozone concentration prediction based on the landscape pattern is realized.

Description

technical field [0001] The invention relates to the technical field of ozone concentration prediction, in particular to an ozone concentration prediction model coupled with landscape patterns. Background technique [0002] In recent years, with the continuous acceleration of industrialization and urbanization, the concentration of ozone near the ground in cities has shown an increasing trend, resulting in increasingly serious ozone pollution, which has aroused widespread concern from the government and the people. Ozone pollution near the ground will aggravate respiratory diseases, impair lung function, cause symptoms such as chest pain, nausea, and fatigue, and cause great harm to human health, and even cause death in severe cases. Ozone pollution is not visible to the human eye like smog, so it is easy to be ignored, and it is very difficult to control. Therefore, in air pollution control, ozone pollution will be the first problem that relevant departments must solve, and ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides an ozone concentration prediction model coupled with the landscape pattern, which solves the problem that the conventional ozone concentration prediction seldom analyzes the landscape pattern

Images