Research Article
Employing Artificial Neural Networks to Predict the Performance of Domestic Sewage Treatment Terminals in the Rural Region
Table 1
Influent and effluent parameter of the rural domestic sewage terminal.
| Parameter | Min | Max | Average | Influent | Effluent | Influent | Effluent | Influent | Effluent |
| pH | 6.2 | 6.3 | 8.56 | 8.67 | 6.88 | 6.96 | Conductivity (μs/cm) | 248 | 50.6 | 1479 | 1502 | 972.78 | 948.7 | Turbidity (NTU) | 4 | 1.71 | 435 | 98.6 | 52.55 | 22.46 | NH3-N (mg/L) | 4.4 | 1 | 131 | 156 | 53.41 | 45.98 | TN (mg/L) | 22 | 11 | 130 | 141 | 68.32 | 57.92 | TP (mg/L) | 0.3 | 0.37 | 11.03 | 11 | 5.187 | 4.248 | COD (mg/L) | 27 | 3 | 659 | 335 | 208.92 | 103.43 |
|
|