Abstract
Assessment of soil loss through Sediment Yield Index (SYI) is important for watershed planning, prioritization, and development. In the absence of measured sediment data, SYI expressing the relative sediment yield from different basins work as a basis for grading another basin to adopt erosion control measures. An attempt was made to evaluate SYI in wider scale by using cost-effective tools like remote sensing and geographical information system (GIS). SYI was calculated for Madia subwatershed, which consists of 29 microwatersheds and located in Sagar District, Madhya Pradesh (M.P.) The IRS LISS III data and Shuttle Radar Topography Mission (SRTM) digital elevation models (DEM) of 90-m resolution were used to identify land use characteristics and geomorphometric analysis. Major land use was observed as agricultural land (24.7 %), water bodies (16.7 %), forest area (10.2 %), and settlement (21.3 %). In categorization, similar overall accuracy was observed for dense forest, barren land, settlement, and water bodies. The highest SYI with a value more than 20 was observed in microwatershed Mw6, Mw7, and Mw24, which comprises 33 % of the total watershed area. It gives the information about the watershed area that requires very high priority.
Similar content being viewed by others
References
Adinarayana J, Rama Krishna N, Suri JK, GopalRao K, Venkatachalam P (1994) Assessment of soil erosion of a watershed using GIS. Int Arch Photogramm Remote Sens 30:2
Agassi M, Shainberg I, Morin J (1990) Slope, aspect, and phosphogypsum effects on runoff and erosion. Soil Sci Soc Am J 54:1102–1106
AISLUS (1991) Methodology for priority delineation survey. All India Soil and Land Use Survey, Ministry of Agriculture, Government of India, New Delhi
Amore E, Modica C, Nearing MA, Santoro VC (2004) Scale effect in USLE and WEPP application for soil erosion computation from three Sicilian basins. J Hydrol 293(1–4):100–114
Angima SD, Stott DE, Neill MKO, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agric Ecosyst Environ 97:295–308
Arnoldus HMJ (1977) Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Morocco. FAO Soils Bull 34:39–51
Bayramin I, Dengiz O, Baskan O, Parlak M (2003) Soil erosion risk assessment with ICONA model: case study Beypazari Area. http://journals.tubitak.gov.tr/Agriculture/issues/tar-03-27-2/tar-27-2-7-0211-3.pdf
Beven K, Heathwaite L, Haygarth P, Walling D, Brazier R, Withers P (2005) On the concept of delivery of sediments and nutrients to stream channels. Hydrol Process 19:551–556
Biswas S, Sudhakar S, Desai VR (1999) Prioritization of sub-watersheds based on morphometric analysis of drainage basin-remote sensing and GIS approach. J Ind Soc Rem Sens 27(3):155–166
Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ 37:35–46
De Jong SM,Riezebos HT (1992) Assessment of erosion risk using multitemporal remote sensing data and an empirical erosion model: 893–900. In: Proceedings of the 3rd European conference on geographic information systems (EGIS) March 23–26, Munich, Germany
Desmet PJJ, Govers G (1995) GIS-based simulation of erosion and deposition patterns in an agricultural landscape: a comparison of model results with soil map information. Catena 25:389–401
Dietrich WE, Wilson CJ, Montgomery DR, McKean J (1993) Analysis of erosion thresholds, channel networks, and landscape morphology using a digital terrain model. J Geol 101:259–278
Environmental Impact Assessment and Management Plan for 1750 MW Demwe Lower HE Project Centre for Interdisciplinary Studies of Mountain and Hill Environment University of Delhi, India, July, 2009
Fan JC, Wu MF (2001) Estimation of interrill soil erosion on steep slopes. Trans ASAE 44(6):1471–1477
Grosh JL, Jarrett AR (1994) Interill erosion and runoff on very steep slopes. Trans ASAE 34(4):1127–1133
Horton RE (1932) Drainage basin characteristics: American Geophysical Union Trans. 129-155
Horton RE (1945) Erosional Development of streams and their drainage basins: hydrophysical approach to quantitative morphology. Bull Geo Soc Amer 56:275–370
Jose CS, Das DC (1982) Geomorphic prediction models for sediment production rate and intensive priorities of watersheds in Mayurakshi catchment. Proc of the international symposium on hydrological aspects of mountainous watershed held at School of Hydrology, University of Roorkee, No 4–6, Vol I, pp 15–23
Kinnell PIA (2000) The effect of slope length on sediment concentrations associated with slide-slope erosion. Soil Sci Soc Am J 64:1004–1008
Kinnell PIA (2004) Sediment delivery ratios: a misaligned approach to determining sediment delivery from hillsopes. Hydrol Process 18:3191–3194
Kirkby MJ (1990) The landscape viewed through models. Zeitschrift für Geomorphologie NF Suppl-Bd 79:63–81
Krzystek P (1995) New investigations into the practical performance of automatic DEM generation. Proc ACSM/ASPRS Annu Conv Charlotte NC Am Soc Photogramm Remote Sens 2:488–500
Liu BY, Nearing MA, Shi PJ, Jia ZW (2000) Slope length effects on soil loss for steep slopes. Soil Sci Soc Am J 64:1759–1763
Lufafa A, Tenywa MM, Isabirye M (2003) Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based Universal Soil Loss model. Agric Syst 76:883–894
McCool DK (1982) Effects of slope length and steepness on soil erosion from rangelands, In: Proceedings of workshop on estimating erosion and sediment yield on range lands Tucson, AZ, Agricultural Reviews and Manuals W-26. USDA, Agricultural Research Service 297–380
Miliaresis GC, Argialas DP (1999) Segmentation of physiographic features from the global digital elevation model/GTOPO30. Computer Geosci 25:715–728
Miliaresis GC, Argialas DP (2002) Quantitative representation of mountain objects extracted from the global digital elevation model (GTOPO30). Int J Remote Sens 23(5):949–964
Miller VC (1953) Quantitative geomorphological study of drainage basin characteristics in Clinch Mountain area, Tennessee.DeptGeol Columbia University. ONR Project Teach. Report NR389-042, No.3, 189–200
Misra N, Satyanarayana T, Mukherjee RK (1984) Effect of top elements on the sediment production rate from sub-watershed in Upper Damodar Valley. J Agril Engg (ISAE) 21(3):65–70
Nag SK, Chakraborty S (2003) Influence of rock types and structures to the development of drainage network in hard rock area. J Ind Soc Remote Sens 31(1):25–35
Narayan DVV, Babu R (1983) Estimation of soil erosion in India. J Irrig Drain Eng 109:419–431
NASA-JPL (1998a) Seeing earth's surface in 3D—shuttle radar topography mission, NASA, Pasadena, California
NASA-JPL (1998b) Shuttle radar topography mission, NASA, Pasadena, California
Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour Management 21:729–746
Rabus B, Eineder M, Roth A, Bamler R (2003) The shuttle radar topography mission-a new class of digital elevation models acquired by spaceborne radar. Photogramm Remote Sens 57:241–262
Singh RK, Saha SK, Kumar S (2005) Soil conservation prioritization of watershed based on erosional soil loss and morphometric analysis using satellite remote sensing & GIS—a case study. Indian Institute of Remote Sensing (NRSA), Dehradun: Map India 2005
Slattery MC, Gares PA, Phillips JD (2002) Slope-channel linkage and sediment delivery on North Carolina Coastal Plain Cropland. Earth Surf Process Landforms 27:1377–1387
Strahler AN (1957) Quantitative analysis of watershed geomorphology. Trans Am Geophys Union 38:913–920
Strahler AN (1964) Quantitative geomorphology drainage basins and channel networks Handbook of applied hydrology, McGraw-Hill, New York, 4: 39–76
Suresh M, Sudhakar S, Tiwari KN, Chowdhary VM (2004) Prioritisation of watersheds using morphometric parameters and assessment of surface water potential using remote sensing. J Ind Soc Remote Sens 31(1):25–35
Tucker GE, Catani F, Rinaldo A, Bras RL (2001) Statistical analysis of drainage density from digital terrain data. Geomorphology 36:187–202
Vito AV (1975) ASCE—manuals and reports on engineering practice.54.Sedimentation Engineering, pp 745
Vrieling A, Sterk GB (2002) Erosion risk mapping: a methodological case study in the Colombian Eastern Plains. J Soil Water Conserv 57(3):158–163
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rawat, K.S., Tripathi, V.K. & Mishra, A.K. Sediment Yield Index mapping and prioritization of Madia subwatershed, Sagar District of Madhya Pradesh (India). Arab J Geosci 7, 3131–3145 (2014). https://doi.org/10.1007/s12517-013-1007-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12517-013-1007-1