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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

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