The Application of Remote Sensing and Hydrological model on Water Conservation Capacity Estimation For Reservior Watershed Area
Results from Hydrological Model Simulation
These are seven sub-watershed was shown as figure 3. the boundary of each sub-watershed was derived from calculating Digital Elevation Model (DEM) data through a previous developed program. In this study, the examined area was sub watershed 4,5,6,7. The genetic algorithms was applied to test the parameters for four observed storms data from e-mei water-gauge which can cover the whole basin area for the four examined sub-watersheds. The result of simulation from four storm were shown in table 3. figure 4 to figure 7 show the hydrological model can efficiently simulate the change trend of run-off volume from each observing data set.
Figure 3. The sub-watershed delineation map of Dar-Pu reservoir watershed area, sub-watersheds 4,5,6,7 were the examined areas for model simulation.
Storm date
Parameters
5/4/1996
8/16/1996
6/24/1997
1/14/1998
Lower zone nominal storage. (LZSN)
429.98
429.98
429.98
429.98
Index to the infiltration capacity of the soil. (INFILT)
37.4
37.40
36.70
36.70
Exponent in the infiltration equation. (INFEXP)
2.04
2.04
2.04
2.04
The fraction of groundwater inflow (DEPER)
0.42
0.42
0.40
0.40
Upper zone nominal storage (UZSN)
25.15
25.15
25.15
25.15
Manning's n for assumed overland flow plan.
0.20
0.20
0.25
0.25
Interflow inflow parameter (INTFW)
1.04
1.04
1.04
1.04
Interflow recession parameter.(IRC)
0.07
0.07
0.07
0.07
Daily recession constant of ground flow (AGWRC)
0.01
0.01
0.02
0.02
Table 3. The HSPF model parameters for four observed storm
