NDLI: Rainfall-runoff modelling of Ajay river catchment using SWAT model

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Rainfall-runoff modelling of Ajay river catchment using SWAT model

Content Provider	Scilit
Author	Kangsabanik, Subhadip Murmu, Sneha
Copyright Year	2017
Description	Journal: Iop Conference Series: Earth and Environmental Science The present study is based on SWAT (Soil and Water Assessment Tool) Model which integrates the GIS information with attribute database to estimate the runoff of Ajay River catchment. Soil and Water Assessment Tool (SWAT) is a physically based distributed parameter model which has been developed to predict runoff, erosion, sediment and nutrient transport from agricultural watersheds under different management practices. The SWAT Model works in conjunction with Arc GIS. In the present study the catchment area has been delineated using the DEM (Digital Elevation Model) and then divided into 19 sub-basins. For preparation of landuse map the IRS-P6 LISS-III image has been used and the soil map is extracted from HWSD (Harmonized World Soil Database) Raster world soil map. The sub basins are further divided into 223 HRUs which stands for Hydrological Response Unit. Then by using 30 years of daily rainfall data and daily maximum and minimum temperature data SWAT simulation is done for daily, monthly and yearly basis to find out Runoff for corresponding Rainfall. The coefficient of correlation (r) for rainfall in a period and the corresponding runoff is found to be 0.9419.
Related Links	http://iopscience.iop.org/article/10.1088/1755-1315/67/1/012033/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/67/1/012033
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	1
Volume Number	67
Language	English
Publisher	IOP Publishing
Publisher Date	2017-05-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Water Science and Technology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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