以福州为示范的城市空气质量实时精细化模拟与预报

本研究在已有空气质量站点的基础上,采用多功能、高效、小巧的传感设备进行监测加密,利用大数据的分析机理与空气质量模型的城市计算技术,以海峡西岸城市群中的福州市为示范,建设城市空气质量实时精细化模拟与预报系统。实时分析城市细粒度(1km×1km)的空气质量,有效提高了城市不同地理位置污染物浓度差异性的分辨率,同时对城市空气污染的发展趋势提出预测,为精细化分析污染成因提供基础数据,从而为环境管理提供决策辅助支持、市民出行提供帮助与指导。

The Real-Time Refined Simulation and Prediction for Air Quality in Hercynian Key Cities as Fuzhou

Based on existing air quality monitoring data, this study established a refined simulation and prediction system of urban air quality in Hercynian key cities as Fuzhou, using some multi-functional, efficient, small and exquisite sensors for monitoring and encrypting. The theories and mechanisms of big data and numerical air quality model were also applied in this study. Using 1 km×1 km fine-grained grids, the result effectively improved the resolution of the Pollutants concentration difference among different locations in the same city. At the same time, this study also gave a forecast of the growing trend of urban air pollution for short time period. The result provided meaningful references for finding out the air pollution causes, to facilitate the environmental management and citizens'' activities.