This paper is published in Volume-4, Issue-4, 2018
Area
GIS
Author
Aswathy M R, Indulekha K P
Org/Univ
College of Engineering, Thiruvananthapuram, Kerala, India
Pub. Date
22 August, 2018
Paper ID
V4I4-1505
Publisher
Keywords
Soil Erosion, USLE, RUSLE, GIS

Citationsacebook

IEEE
Aswathy M R, Indulekha K P. Estimation of soil erosion using Revised Universal Soil Loss Equation and GIS, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aswathy M R, Indulekha K P (2018). Estimation of soil erosion using Revised Universal Soil Loss Equation and GIS. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Aswathy M R, Indulekha K P. "Estimation of soil erosion using Revised Universal Soil Loss Equation and GIS." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

A comprehensive methodology that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System(GIS) techniques were adopted to determine the soil erosion vulnerability of a forested mountainous sub-watershed in Kerala, India. The spatial pattern of annual soil erosion rate was obtained by integrating geo-environmental variables in a raster-based GIS method. GIS data layers including, rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C) and conservation practice (P) factors were computed to determine their effects on average annual soil loss in the area. The resultant map of annual soil erosion shows a maximum soil loss of 282.2 t/h/yr with a close relation to grassland areas, degraded forests and deciduous forests on the steep side-slopes. The spatial erosion maps generated with RUSLE method and GIS can serve as effective inputs in deriving strategies for land planning and management in the environmentally sensitive mountainous areas.