Algorithm 2: an algorithm to recalculate PM2.5 in a foggy weather |
Input: T denotes the daily mean dry-bulb temperature (in degree celsius); RH denotes the instant relative humidity (between 0 and 1); IT denotes the instant on-site temperature (in degree celsius), and PM_CNN denotes the PM2.5 concentrations predicted by CNN in Algorithm 1. |
Output: PM2.5 concentration in case the weather is foggy (PM_Image). |
Begin |
1 if ((PM_CNN) >= 55.50) |
2 DT = T – ((100-RH)/5) |
3 if ((IT- DT) < 2.5) |
4 PO = (PM_CNN)/500.4 |
5 PM_Image = 55.40 * PO |
6 return PM_Image |
End |