智能大气精准调控平台

基于公开城市、空气质量监测站点的小时数据（PM2.5、PM10、SO2、NO2、CO、O3），及气象、地形、交通等数据的融合，利用插值法、相关性分析法、刷色法、空间赋值法等多种方法，实现对多耦合空气质量成因分析，辅助地方进行空气质量污染的成因分析，为地方提供一体化的空气质量达标控制、空气质量播报、巡查问题指挥调度、空气质量考核目标分解、沙尘天考核计算、空气质量分析报告编制、巡查问题考核分析等服务。

This dataset integrates hourly public data from urban air quality monitoring stations (including PM2.5, PM10, SO2, NO2, CO and O3) with multi-source auxiliary data such as meteorological, topographic and traffic data. By leveraging multiple analytical methods including interpolation, correlation analysis, color mapping and spatial assignment, it enables multi-coupled cause analysis of air pollution. It assists local authorities in conducting air pollution cause analysis, and provides a suite of integrated services for local governments, covering air quality compliance control, air quality announcement and broadcasting, command and scheduling for inspection and problem handling, decomposition of air quality assessment targets, assessment calculation for sand and dust weather events, compilation of air quality analysis reports, as well as assessment and analysis of inspection-related problems.

搜集汇总

背景与挑战

背景概述

该数据集提供全国范围内的空气质量监测数据，结合多源数据和分析方法，支持空气质量成因分析和调控决策，适用于多个应用领域，每小时更新一次。