空气质量预测数据

该数据集包括PM2.5、PM10、O3、NO2、CO、SO2、六项指标，是通过国控站点监测数据，基于SIRANE模型和CHIMERE模型得到的指标预测数据。可获取到小时级的预测数据，用于对未来空气质量趋势进行分析，了解未来时间的空气质量趋势变化情况。

This dataset covers six air quality indicators: PM2.5, PM10, O3, NO2, CO, and SO2. The prediction data for these indicators is derived from monitoring data collected by national-controlled air quality monitoring stations, based on the SIRANE and CHIMERE models. Hourly prediction data is available, which can be employed to analyze future air quality trends and examine the variations of air quality conditions over future time periods.