AIR QUALITY PREDICTION AND MANAGEMENT SYSTEM FOR ENVIRONMENT DISASTER EARLY DETECTION

摘要

The present invention relates to an air quality prediction and management system for detecting environmental disasters and premature disasters. The system includes AWS measurement information, UM weather data, terrain information provided by related organizations, and air emission information, Air quality modeling is performed to estimate the wind direction and intensity, and the predicted air quality information for air pollution sources. The result is compared with the real-time measurement values of the on-site environmental sensors through the big data processing and analysis. It is possible to improve the accuracy of predicted values by modifying and supplementing the wind field modeling and the air quality modeling factors according to the result of the patterning, and it is possible to detect the area where the air quality of each pollutant source is judged to reach harmful level And displays it in time and space, and it is possible to propagate the situation outside.