佛山市环境空气质量预报预警系统平台设计

Establishment of Air Quality Forecast and Warning System in Foshan City

环境空气质量预报预警是指导社会生产和生活、有效预防大气污染发生的重要手段,是目前新兴的生态环境监测任务。本文概述了佛山市环境空气质量预报预警系统平台的总体设计,并针对系统的主要功能模块进行了详细的介绍。同时,本文指出结合人工智能深度学习后数值模拟预报结果与监测结果的相关性得到了明显的提高。最后,本文总结了系统平台投入运行后至今取得的主要大气环境成效。

Air quality forecast and warning was important for social production and lift, which could help to prevent the occurrence of air pollution effectively. This study summary the design of Foshan air quality forecast and warning system, and introduce the main function modules in details. The correlation coefficient between model forecast and observation could be improved significantly after correcting by AI deep learning. The effects of system establishment on atmospheric environment were also presented in this study.