Sediment Yield Assessment Using SAGA GIS and USLE model: A Case Study of Watershed – 63 of Narmada River, Gujarat, India.
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2019 by IJETT Journal|
|Year of Publication : 2019|
|Authors : Snehakumari S. Parmar
|DOI : 10.14445/22315381/IJETT-V67I8P201|
MLA Style: Snehakumari S. Parmar"Sediment Yield Assessment Using SAGA GIS and USLE model: A Case Study of Watershed – 63 of Narmada River, Gujarat, India." International Journal of Engineering Trends and Technology 67.8 (2019): 1-13.
APA Style:Snehakumari S. Parmar, Sediment Yield Assessment Using SAGA GIS and USLE model: A Case Study of Watershed – 63 of Narmada River, Gujarat, India. International Journal of Engineering Trends and Technology, 67(8), 1-13.
Sediments play vital role to sustain the life of aquatic environment. Due to sedimentation, many nutrients, contaminated substances are transported, which ultimately reduces land productivity. Remote Sensing (RS) and Geographic Information System (GIS) used integrally to find sediment yield and morphological parameters responsible for causing soil erosion. SAGA-GIS (System for Automated Geo-Scientific Analysis-Geographic Information System) software version 6.3.2 utilized for editing spatial data, preparing thematic maps, statistical data analysis, etc. To know the spatial prediction of soil loss and risk potential of erosion, ULSE model (Universal Soil Loss Equation) was used. Watershed: 63 selected for research work which is located in middle sub-basin of Narmada river. It is sited in Narmada district of Gujarat and Nan durbar district of Maharashtra. The Shuttle Radar Topographic Mission (SRTM) data employed for preparation of Digital Elevation Model (DEM) and to prepare slope maps. The results showed that study area comes under severe soil erosion class i.e. 47.79 Ton/ha/year and high sediment yield achieved as 19.14 tons/year. This is due to existence of moderate to steep slope, moderate land use practices, moderate drainage texture. This study will prove to be helpful in watershed management strategies and to conserve the natural resources according to priorities.
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Remote Sensing, GIS, USLE, Soil Erosion, Sediment Yield, Thematic Maps.