Research Article
Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka
Table 1
Calibrated parameters in the SMA method.
| | Parameters | Value |
| | Soil (%) | 70 | | Groundwater 1 (%) | 45 | | Groundwater 2 (%) | 82 | | Max infiltration (mm/hr) | 3.5 | | Imperviousness (%) | 25 | | Soil storage (mm) | 125 | | Tension storage (mm) | 75 | | Soil percolation (mm/h) | 0.75 | | Groundwater 1 storage (mm) | 100 | | Groundwater 1 percolation (mm/h) | 1 | | Groundwater 1 coefficient (h) | 100 | | Groundwater 2 storage (mm) | 150 | | Groundwater 2 percolation (mm/h) | 1 | | Groundwater 2 coefficient (h) | 1 |
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