Table 3. Default and Final Values of SWAT calibration parameters for flow and sediment.
Variable Parameter File iMet* | Range Default Value Final Value
Flow Alpha_Bf .gw 1 [0, 1] 0.048 0.26
Ch K2 rte 1 0-150 0 25
Cn2 .mgt 3 [-25, 25] varied by LU 1.23745
Esco .hru 1 [0, 1] 0 1
Gwqmn ‚ZW 2 [0,1000] 0 -263.22
Sediment | Ch Cov rte 1 [0, 1] 0 0.601
Ch Erod rte 1 [0, 1] 0 0.400
Spcon .bsn 1 [0.0001, 0.01] 0.0001 0.003
Spexp .bsn 1 [1. 2] 1 1.420
Usle P .mgt 1 [0, 1] 1 0.981
0.25 0.233**
Usle_C crop.dat | 3 [-25, 25] 0.3 ().270 x
0.01 0.000 * ev»
* variation method: 1 = replacement of initial parameter by value, 2 = adding value to the initial parameter,
3 = multiplying initial parameter by a value in percentage
** for AGRL ; *** for AGRR; **** for FRST
of data. For model calibration, the 1984 daily stream flow (in
liters/sec) data and 2002-2005 monthly sediment (in ppm) data
are used. Meanwhile, the 1985-1986 daily stream flow data
and 2006-2007 monthly sediment data are used for model
validation. Daily stream flow data for years 1984 and 1985 are
used because these are the only period with almost complete
records. BRS do not have daily records for sediments. Only
monthly records are available for sediment data and the period
with the most number of records are 2002-2007. No sediment
data are available for years earlier than 2002 and data for years
later than 2007 are fragmental (i.e., more than six months are
without data). The final values of sediment parameters and five
most sensitive flow parameters are shown in Table 3. Plots of
the observed and simulated flow and sediment yields are shown
in Figures 4 and 5.
Table 4. Model Performance during calibration.
Variable Calibration
Period | TimeStep | NSE |. R^. | RSR | PBIAS
Daily 0.89 | 0.74 | 034 | 17.64
Pow 1954 Monthly | 0.47 | 0.83 | 0.73 | 17.75
Semon] 2000 Monthly | 0.96 | 0.93 | 0.20 | -7.30
2005 Annual | 0.99 | 0.97 | 0.11 | -12.31
Table 5. Model Performance during validation.
Variable Validation
Period | Time Step | NSE | RZ | RSR | PBIAS
Daily 0.89 | 0.74 | 034 | 17.64
Flow Jose Monthly | 047 | 0.83 | 0.73 | 17.75
Sediment | 2002: Monthly | 0.96 | 0.93 | 020 | -7.30
2005 Annual [| 099 | 097 | 0.11 | -12.31
5. RESULTS AND DISSCUSSION
5.1. Base Scenario
The soil loss rate map derived from sediment yield for the base
scenario is shown in Figure 3. The minimum and maximum
values for this scenario are 0.45 ton ha'! yr! and 12.05 ton hz'!
yr! which correspond to subbasins 28 and 21, respectively. The
simulated maximum value is beyond the upper limit of
tolerable soil loss of 11.2 t ha'! yr! according to Hudson (1995)
as cited by Alibuyog et. a/ (2009). Subbasin 28 is characterized
by a relatively flat terrain with the whole area having slope less
than or equal to 17% and predominantly an agricultural area
(AGRR) while most of the subbasin 21 area have steep slopes
(>17%) and with almost equal distribution of RNGE, AGRR
and FRST areas.
Legend
Reach
Uhalyr
1 045-177
Figure 3. Soil loss rate map of the basin under the base scenario.
5.2. Model Simulation incorporating Climate Change
Climate change data are incorporated in the model by inputting
the projected seasonal change in rainfall and temperature for
each subbasin. After manipulating the subbasin parameters for
climate change analysis (RFINC and TMPINC), the calibrated
model was rerun for two scenarios (A1B and A2) each under
two time slices centered at year 2020 and 2050. These two
scenarios have been the focus of climate change model inter-
comparison studies according to IPCC (2007). The average
total generated sediment yield of the whole basin for this run is
shown in Figure 6a.
5.3. Model Simulation incorporating Land Use/Land Cover
Change
The projected land cover change rates derived from subtracting
the sets of Landsat images are inputted to the model by
modifying the individual HRU files (with file extension *.hru)
for each subbasin. The calibrated model is rerun with the
modified HRU files and the average sediment yield for the
simulation period is evaluated. The result of this run is also
shown in Figure 6a.
5.4. Model Simulation incorporating Climate Change and
Land Use/ Land Cover Change
Using all the modified files in Sections 5.2 and 5.3, a rerun of
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