| 摘要 |
The present invention relates to an air quality prediction and management system for early detection of environmental disasters, the system performing wind field modeling and air quality modeling using AWS measurement information and UM meteorological data provided by the meteorological administration, and topographical information and air discharge amount information provided by related organizations; generating predicted data regarding the direction and strength of wind and predicted air quality information with respect to air pollution sources; and, through big data processing and analysis, comparatively analyzing the predicted data and predicted air quality information and real-time measurement values of site environment composite sensors, and correcting and supplementing elements of the wind field modeling and air quality modeling according to extracted pattern results. Thus, the system is capable of enhancing the accuracy of prediction values, detecting, in advance, regions in which the degree of air quality of each pollution source is determined to be likely to reach a harmful level on the basis of the air quality modeling, displaying the same in spatiotemporal and time-series manners, and propagating situations to the outside. |
