Analysis of Ozone Spatial and Temporal Distribution Characteristics and Pollution Trend Prediction Based on Improved Particle Swarm Optimization Algorithm

China's air pollution is becoming increasingly serious. In order to improve the understanding of the characteristics and rules of air pollution, and study the treatment of air pollution, based on information visualization technology and air quality information data, combined with Html5, Java Script and D3 programming interface, the characteristics and distribution rules of air pollution in China are visually displayed and analyzed. Ozone is one of the most common gases in the atmosphere and plays an important role in the stratosphere and troposphere. It is mature to analyze the spatial and temporal distribution characteristics of ozone column concentration by using satellite remote sensing data, but the research on the prediction of ozone column concentration is scarce. Ozone is a trace gas found mainly in two regions of the atmosphere. One is the troposphere 10 to 16 kilometers above the ground, accounting for about 10%. About 90 percent of the remaining ozone exists somewhere in the stratosphere, roughly from the tropopause to about 50 kilometers in the air. How to obtain the spatial and temporal information of ozone and predict the ozone concentration in the future through monitoring data, thus providing technical support for effective environmental governance, is a challenge facing interdisciplinary research in environmental and computer fields.