Estimation of Water Balance Components of Watersheds in the Manjira River Basin using SWAT Model and GIS
Akshata Mestry1, Raju Narwade2, Karthik Nagarajan3
1Akshata Mestry*, Department of Civil Engineering, Pillai HOC College of Engineering & Technology, Rasayani, India.
2Raju Narwade, Department of Civil Engineering, Pillai HOC College of Engineering & Technology, Rasayani, India.
3Karthik Nagarajan, Department of Civil Engineering, Pillai HOC College of Engineering & Technology, Rasayani, India.
Manuscript received on January 22, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 3898-3907 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6431029320/2020©BEIESP | DOI: 10.35940/ijeat.C6431.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study mainly focus on hydrological behavior of watersheds in The Manjira River basin using soil and water assessment tool (SWAT) and Geographical information system (GIS). The water balance components for watersheds in the Manjira River were determined by using SWAT model and GIS. Determination of these water balance components helps to study direct and indirect factors affecting characteristics of selected watersheds. Manjira River contains total 28 watersheds among them 2 were selected having watershed code as MNJR008 and MNJR011 specified by the Central Ground Water Board. The SWAT input data such as Digital elevation model (DEM), land use and land cover (LU/LC), Soil classification, slope and weather data was collected. Using these inputs in SWAT the different water balancing components such as rainfall, baseflow, surface runoff, evapotranspiration (ET), potential evapotranspiration (PET) and water yield for each watershed were determined. The evaluated data is then validated by Regression analysis, in which two datasets were compared. Simulated rain data from SWAT simulation and observed rain data from Global Weather Data for SWAT was selected for comparison for each watershed.
Keywords: Water balance components, Soil and water assessment tool (SWAT), Digital elevation model (DEM).