Hi everyone,
After using the sufi-2 to calibrate my data, the simulated data is very much overestimated. the problem is my basin is very large, about 23,124 km2. I did not include dams/reservoirs in my first simulation in ArcSwat since I did not have that information. Now the only information I have about the dams are the dams storage capacity (m3) and annual water abstraction for water treatment from the dams. I want to know, will only these two pieces of information work and will this improve my p-factor and r-factor and R2 values as the first simulations without dams are very poor.
Also, can I improve the p-factor value without including the dams in SWAT?
The model was not set up properly, observed values and simulated values do not reflect a good simulation, you have to check the land use, and soil data to re - run the model until you observe a similar trend both in simulated and observed values, then you may change the parameters to calibrate your model.
Check again you data for the model set-up. Be careful especially on climatici data. Do you have enough rain gauges in the basin? Moreover, the streamflow station and the rain station are within the same sub-basin? Usually if your setup is done with good quality data the model without will perform satisfactory also without calibration.
Hello, unfortunately, poor setting of SWAT over such large watershed due to the lack of dam's related data will not help in the calibration . The challenge of that task will be as big as the capacity of the dam and the intensity of the implemented dam management on the ground. The other (potential) solution is to go for "assumptions" based on other dams with equivalenet features in the surrounding areas and with sufficient data. Apologies for not bringing much assistance, but I hope you've had how to figure out how to sort out this issue
- Badges
- Science topic
- Similar topics
- Geoscience
- Atmospheric Sciences
- Climate Science
- Climate Change