IJBTT

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
	Volume-67 Issue-8
	Year of Publication : 2019
	Authors : Snehakumari S. Parmar
	DOI :  10.14445/22315381/IJETT-V67I8P201

Citation 

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.

Abstract
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.

Reference
[1] Carvalho, D.F., Durigon, V.L., Antunes, M.A.H., Almeida, W.S., & Oliveira, P.T.S. (2014), “Predicting soil erosion using RUSLE and NDVI time series from TM Landsat 5.” Pesq. agropec. bras., Brasília, v.49, n.3, p.215-224, mar. 2014. doi:10.1590/S0100-204X2014000300008.
[2] Uddin, K., Murthy, M.S.R., Wahid, S.M., &Matin, M.A. (2016), “Estimation of Soil Erosion Dynamics in the Koshi Basin Using GIS and Remote Sensing to Assess Priority Areas for Conservation.” PLoS ONE 11(3): e0150494. doi: 10.1371/journal.pone.0150494.
[3] Pancholi, V.H., Lodha, P.P, & Prakash, I. (2015), “Estimation of Runoff and Soil Erosion for Vishwamitri River Watershed, Western India Using RS and GIS.”American Journal of Water Science and Engineering2015; 1(2): 7-14.
[4] Jain, M.K., &Kothyari, U.C. (2000), “Estimation of soil erosion and sediment yield using GIS.”Hydrological Sciences-Journal-des Sciences Hydrologiques. 45(5) October 2000.
[5] Rahaman, S.A., Aruchamy, S., Jegankumar, R., &Ajeez, S.A. (2015), “Estimation of annual average soil loss, based on RUSLE model in Kallar watershed, Bhavani basin, Tamil nadu, India.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-2/W2, 2015.
[6] Parmar, S. (2018), “Sediment Yield Estimation Using SAGA GIS: A Case Study of Watershed – 63 of Narmada River.” JASC: Journal of Applied Science and Computations, Volume 5, Issue 9, September/2018, ISSN NO: 1076-5131.
[7] Gitas, I. Z., Douros, K., Minakou, C., Silleos, G.N., &Karydas, C.G. (2009), “Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model.” EARSeLeProceedings 8, 1/2009.
[8] Sreenivasulu, V., &Pinnamaneni, U.B. (2008), “Sediment yield estimation and prioritization of watershed using remote sensing and gis.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012.
[9] Horvat, Z. (2013), “Using Landsat Satellite Imagery to Determine Land Use/Land Cover Changes in Me?imurje County, Croatia.”HrvatskiGeografskiGlasnik75/2, 5 – 28(2013).
[10] Javed, A., Tanzeel, K., &Aleem, M. (2016), “Estimation of Sediment Yield of Govindsagar Catchment, Lalitpur District, (U.P.), India, Using Remote Sensing and GIS Techniques.” Journal of Geographic Information System. 2016, 8, 595-607.
[11] Prasannakumar, V., Vijith, H., Abinod, S., &Geetha, N. (2012), “Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology.”Geoscience Frontiers 3(2) (2012) 209e215.
[12] Dubey, S.K., Sharma, D., &Mundetia, N. (2015), “Morphometric Analysis of the Banas River Basin Using the Geographical Information System, Rajasthan, India.” Hydrology 2015; 3(5): 47-54.
[13] Rudraiah, M.S.G., & Srinivas, V.S., “Morphometry using Remote Sensing and GIS Techniques in the Sub-basins of Kagna river basin, Gulburga district, Karnataka, India.” Indian Society Remote Sense. 36:351–60.
[14] Parmar, S. (2019), “Morphometry Analysis Using SAGA GIS: A Case Study of Watershed – 63 of Narmada River, Gujarat, India.”Journal of Engineering Research and Application,Issue 2 (Series -II) Feb 2019, doi: 10.9790/9622- 0902023951.
[15] Narendra, K., “Morphometric Analysis of River Catchments Using Remote Sensing and GIS (A Case Study of the Sukri River, Rajasthan.” International Journal of Scientific and Research Publications.” Volume 3, Issue 6, June 2013 1 ISSN 2250-3153.
[16] Swatantra, K.D., Sharma, D., &Mundetia, N., “Morphometric Analysis of the Banas River Basin Using the Geographical Information System, Rajasthan, India.” Hydrology 2015; 3(5): 47-54, Published online October 9, 2015. doi: 10.11648/j.hyd.20150305.11.
[17] Joshi, V., Susware, N., & Sinha, D. (2016), “Estimating soil loss from a watershed in Western Deccan, India, using Revised Universal Soil Loss Equation.” Landscape & Environment 10 (1) 2016. 13-25.
[18] Uddin, K., “Estimation of Soil Erosion Dynamics in the Koshi Basin Using GIS and Remote Sensing to Assess Priority Areas for Conservation.” PLoS ONE 11(3): e0150494. doi: 10.1371/journal.pone.0150494.
[19] Asawa, G.L. (2005), Irrigation and Water Resources Engineering. (Newagepublishers ,1 January 2005)
[20] Gajraj, S. (2012), GIS in water resources engineering. (Publisher: SBS Publisher & Distributors Edition: 2012)
[21] Garg, S.K.(1973), Hydrology and Water Resources Engineering. (Khanna Publishsers-Delhi; Twenty Third edition 1973)

Keywords
Remote Sensing, GIS, USLE, Soil Erosion, Sediment Yield, Thematic Maps.