Authors :
Kamuju.Narasayya
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://shorturl.at/UoWoz
Scribd :
https://shorturl.at/Up8zV
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP1061
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Optimal management of natural water
resources is a crucial strategy for mitigating the negative
effects of climate extremes by ensuring sufficient water
availability. A thorough assessment of hydrological
system components is essential in watershed studies. In
this context, the SWAT (Soil and Water Assessment
Tool) model, integrated with ArcGIS, was applied to
evaluate the overall hydrological conditions, with a focus
on surface runoff in the ‘KatePurna’ catchment, a
tributary of the ‘Purna’ River in the ‘Tapi’ Basin, India.
KatePurna catchment has an area of 1130 square
kilometers with a length of 108 km to meeting Point of
Purna River. The data set for SWAT model running
were Digital Elevation Model (DEM), slope map, soil
map, LandUse LandCover (LULC) map, and climatic
data in the form of precipitation, minimum/ maximum
air temperature. The ArcSWAT model simulation
performed for estimation of Rainfall-runoff in 2
scenarios, 1. by considering the sub-basins derived from
default threshold value and 2. by increasing threshold
value so as to decrease number of sub-basins. Scenario-1
derived 23 sub-basins and model simulation results
obtained a runoff depth of 266.63 mm. The scenario-2
derived 11 sub-basins and resulted runoff depth was
268.43 mm. The variation of runoff depth between two
scenarios less than 1%. The SWAT model simulation
results, when examined, reveal an interesting pattern
like catchments with fewer sub-basins exhibited a higher
runoff depth of 268.43 mm, whereas those with a greater
number of sub-basins displayed a lower runoff depth of
266.63 mm. The model could not be calibrated due to a
lack of sufficient data required for the calibration
process. Despite this, the SWAT model's results related
to the water balance elements in the watershed
demonstrate its effectiveness as a tool for hydrological
assessments, particularly in situations where data is
limited or unavailable for various reasons.
Keywords :
Hydrology, Catchment, SWAT, Runoff, SCS-CN
References :
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- Gassman, P. W., Sadeghi, A. M., Srinivasan, R., 2014. Applications of the SWAT model special section: overview and insights. Journal of Environmental Quality, 43(1), 1-8.
- Aziz, Y. W., Hamah Saeed, M. A., Ahmed, S. S., 2020. Iraqi Geological Journal, 53(2E), 96-106.
- Heedan, M. O., Bapeer, G. B., Khodakarami, L. 2017.Estimation the volume of runoff using natural resources conservation service method and geographic information system in Koya basin, Sulaimaniya, Iraq. Iraqi Geological Journal, 50, (2), 2017
- Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., van Griensven, A., Van Liew, M. W., Kannan, N., &Jha, M. K.,2012. “SWAT: Model Use, Calibration, and Validation", Transactions of the ASABE (American Society of Agricultural and Biological Engineers), 55(4):1227-1240.
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Optimal management of natural water
resources is a crucial strategy for mitigating the negative
effects of climate extremes by ensuring sufficient water
availability. A thorough assessment of hydrological
system components is essential in watershed studies. In
this context, the SWAT (Soil and Water Assessment
Tool) model, integrated with ArcGIS, was applied to
evaluate the overall hydrological conditions, with a focus
on surface runoff in the ‘KatePurna’ catchment, a
tributary of the ‘Purna’ River in the ‘Tapi’ Basin, India.
KatePurna catchment has an area of 1130 square
kilometers with a length of 108 km to meeting Point of
Purna River. The data set for SWAT model running
were Digital Elevation Model (DEM), slope map, soil
map, LandUse LandCover (LULC) map, and climatic
data in the form of precipitation, minimum/ maximum
air temperature. The ArcSWAT model simulation
performed for estimation of Rainfall-runoff in 2
scenarios, 1. by considering the sub-basins derived from
default threshold value and 2. by increasing threshold
value so as to decrease number of sub-basins. Scenario-1
derived 23 sub-basins and model simulation results
obtained a runoff depth of 266.63 mm. The scenario-2
derived 11 sub-basins and resulted runoff depth was
268.43 mm. The variation of runoff depth between two
scenarios less than 1%. The SWAT model simulation
results, when examined, reveal an interesting pattern
like catchments with fewer sub-basins exhibited a higher
runoff depth of 268.43 mm, whereas those with a greater
number of sub-basins displayed a lower runoff depth of
266.63 mm. The model could not be calibrated due to a
lack of sufficient data required for the calibration
process. Despite this, the SWAT model's results related
to the water balance elements in the watershed
demonstrate its effectiveness as a tool for hydrological
assessments, particularly in situations where data is
limited or unavailable for various reasons.
Keywords :
Hydrology, Catchment, SWAT, Runoff, SCS-CN