Table 1 Characteristics of the dataset.
From: Applicability analysis of tree-based ensemble learning for air pollutant prediction models
Variable type | Variable name | Variable description(units) |
|---|---|---|
Air quality variable | PM10 | µg/m3 |
PM2.5 | µg/m3 | |
CO | mg/m3 | |
NO2 | µg/m3 | |
SO2 | µg/m3 | |
O3_8h | ozone 8 h(µg/m3) | |
Meteorological variables | 2m_Temp. | 2 m temperature(°C) |
2m_RH | 2 m relative humidity(%) | |
10m_WS | 10 m wind speed(m/s) | |
10m_WD | 10 m wind direction(°) | |
Precipitation | cm | |
Pressure | hPa | |
Other variables | City | Beijing |
Shanghai | ||
Tianjin | ||
Chongqing | ||
Date | Year/month/day |
