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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:10, October, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(10): 2048-2051
DOI: https://doi.org/10.20546/ijcmas.2020.910.250


MUSLE Model Approach for Soil Loss Studies  in Tonshyal Micro Watershed
Er. Shwetha*, S. S. Shirahatti and M. S. Shirahatti
Faculty of Agricultural Engineering, College of Agriculture, Vijayapur, UAS Dharwad, India
*Corresponding author
Abstract:

Soil erosion depletes the productive layer of soil which is an ultimate resource for all agricultural activities. Since erosion rate varies with watershed characteristics, a study of soil and water dynamics at a watershed level can facilitate a scientific approach toward their conservation and management. The study involves obtaining peak runoff and input parameters (K,LS,C & P) of Modified Universal Soil Loss Equation (MUSLE) integrating GIS platform to estimate soil loss of Tonshyal micro watershed which lies between 16º 30’- 16º 45’ latitudes and 75º 30’- 75º 45’ longitudes with area of 269.42 ha, watershed code of 4D7A5E2. The base map and thematic maps were prepared using Survey of India toposheet No. 47 P/10 with scale of 1:50000 in a QGIS environment. The study area contains Very deep (>150 cm), Clay soils occurring on very gently sloping (1-3%), Clay soils occupy in entire micro-watershed. The calculated data and factors that were considered in the present study summarized and applied in MUSLE model for estimating annual soil loss.


Keywords: MUSLE; QGIS, Runoff

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How to cite this article:

Er.Shwetha, G., S. S. Shirahatti and Shirahatti, M. S. 2020. MUSLE Model Approach for Soil Loss Studies in Tonshyal Micro Watershed.Int.J.Curr.Microbiol.App.Sci. 9(10): 2048-2051. doi: https://doi.org/10.20546/ijcmas.2020.910.250
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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