SOIL EROSION RISK ESTIMATION BY USING SEMI EMPIRICAL RUSLE MODEL: A CASE STUDY OF NUN WATERSHED, UTTARAKHAND

Authors

  • Yudhaveer Singh Project Scientist, Chhattisgarh Council of Science and Technology, Raipur, Chhattisgarh, India
  • Dipak Bej Research Scholar, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh, India
  • Priya Alumnus, Indian Institute of Remote Sensing, Dehradun, Uttarakhand, India

DOI:

https://doi.org/10.29121/granthaalayah.v10.i5.2022.4592

Keywords:

DEM, Erosion, GIS, RUSLE, Vigorous

Abstract [English]

Day by day numerous population pressure on land and due industrialization there is a vigorous increase of temperature increase in atmosphere, acid rain along with Deforestation definitely degrade the quality the of land. It should have to evaluate the land for estimate the quality of soil and find out the nutrition status as well as the soil health. The present study was employed with in Geographic Information System (GIS) environment to predict erosion risk following semi empirical Revised Soil Loss Erosion Model (RUSLE). The physiographic soil map was prepared by visual interpretation of satellite image LISS-4 from which soil erodibility factor is derived. The Digital Elevation Model (DEM) derived from Contour map, used as the base map for the topographic related analysis. In the model LS factor was derived from the DEM. C and P factor derived from the LULC map. In the watershed 15.90 % under very high erosion, 5.49 % high erosion,7.03 % under moderate high erosion, 8.54 % under moderate erosion,11.69 % under low erosion, and 51.36 % under very low erosion.

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References

Adinarayana, J. Rao, K. G. Krishna, N. R. Venkatachalam, P. and Suri, J. K. (1999). A Rule Based Soil Erosion Model for a Hilly Catchment, 37, 309-318. https://doi.org/10.1016/S0341-8162(99)00023-5

Bhattacharya, S. K. (1997). Erosion Assessment of Rakti Basin of the Darjeeling Himalaya Indian J. Soil Conservation. 25(3), 173-176.

Bhushan, B. Khera, K. L. (2002). Characteristics and erosion risks rating of soils of Patiala-Ki -Rao -Watershed in the lower Shiwalic of Punjab- Indian Journal of Soil Conservation, 30(1).

Bonta, J. V. and Hamon, W. R. (1980). Preliminary Evaluations of a Sediment Pond Draining a Surface Mined Watershed. Symposium on Surface Mining Hydrology, Sedimentology and Reclamation, University of Kentucky, Lexington, 371-381. https://www.osti.gov/biblio/5340483

CGWB (2009). Central Ground Water Board (CGWB), Uttaranchal Region, Ministry of Water Resources, Government of India, Delhi. http://cgwb.gov.in/contact_us.html

Desmet, P. J. J. and Govers G. (1996). A GIS Procedure for Automatically Calculating the USLE LS Factor on Topographically Complex Landscape Units; J. Soil Water Conservation. 51, 427-433. https://www.researchgate.net/publication/233425999_A_GIS_procedure_for_automatically_calculating_the_USLE_LS_factor_on_topographically_complex_landscape_units

Doidato, N. (2004). Estimating RUSLE's Rainfall Factor in the Part of Italy with Mediterranean Rainfall Regime, Hydrology and Earth System Sciences. 8(1), 103-107. https://doi.org/10.5194/hess-8-103-2004

Dutta, P. (1999). Estimation of Soil Erosion Loss & Landuse Planning using Remote Sensing & GIS, Post Graduate Diploma Report, 181-186.

Jain, M. K. Kothyari, U. C. (2000). Estimation of soil erosion and sediment yield using GIS. Hydrol Sci, 45(4), 771-786. https://doi.org/10.1080/02626660009492376

Mohamed, M. and Aggarwal, S. (1997). Application of Remote Sensing and GIS on Soil Erosion Assessment at Bata River Basin, India, ACRS, Proceedings. https://www.geospatialworld.net/article/application-of-remote-sensing-and-gis-on-soil-erosion-assessment-at-bata-river-basin-india/

Saha, S. K. Bhatacharjee, J. Lalengzuva, C. and Pende, L. M. (1992). Prioritization of sub watersheds based on erosion loss estimates - A Case Study of Part of Song, River Watershed, Doon Valley Using Digital Satellite Data. Proc. National Symposium on, Remote Sensing for Sustainable Development, 181-186.

Saha, S.K. Kudrat, M. and Bhan, S. K. (1990). Digital Processing of Landsat-TM Data for Watershed Mapping Parts of Aligarh Districts (U.P), India. Int. J. Remote Sensing, 11(3), 485-492. https://doi.org/10.1080/01431169008955034

Shrestha, D. P. (1997). Assessment of soil erosion in the nepalese himalaya, A case study in likhu khola valley, middle mountain Region. Land Husbandry, 2(1),59-80. https://www.researchgate.net/publication/255578442_ASSESSMENT_OF_SOIL_EROSION_IN_THE_NEPALESE_HIMALAYA_A_CASE_STUDY_IN_LIKHU_KHOLA_VALLEY_MIDDLE_MOUNTAIN_REGION

Shrimalia, S. S. Aggarwalb S. P. and Samraa, J. S. (2001). Prioritizing erosion-prone areas in hills using remote sensing and GIS - a case study of the Sukhna Lake catchment, Northern India, International Journal of Applied Earth Observation and Geoinformation, 3(1), 54-60. https://doi.org/10.1016/S0303-2434(01)85021-2

Stone, R.P. Hillborn D. (2002). Universal Soil Loss Equation, Ontario, Canada. Ontario Ministry of Agriculture and Food (OMAFRA). http://www.omafra.gov.on.ca/english/engineer/facts/12-051.htm

Tripathi, M. P. Panda, R. K. Pradhan, S. and Sudhakar, S. (2002). Runoff Modelling of a Small Watershed using Satellite Data and GIS. J of Ind. Society of Remote Sensing 30(2), 39-52. https://doi.org/10.1007/BF02989975

Wischmeier, W. H. and Smith, D.D. (1965). Prediction Rainfall Erosion Losses from Cropland East of the Rocky Mountains: A Guide for Selection of Practices for Soil and Water Conservation. Agricultural Handbook, 282, 47. https://naldc.nal.usda.gov/download/CAT87208342/PDF

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Published

2022-06-11

How to Cite

Singh, Y., Bej, D., & Priya. (2022). SOIL EROSION RISK ESTIMATION BY USING SEMI EMPIRICAL RUSLE MODEL: A CASE STUDY OF NUN WATERSHED, UTTARAKHAND. International Journal of Research -GRANTHAALAYAH, 10(5), 110–119. https://doi.org/10.29121/granthaalayah.v10.i5.2022.4592