Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology

A comprehensive methodology that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was adopted to determine the soil erosion vulnerability of a forested mountainous sub-watershed in Kerala, India. The spatial pattern of annual soil erosi...

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Main Authors: V. Prasannakumar, H. Vijith, S. Abinod, N. Geetha
Format: Article
Language:English
Published: Elsevier 2012-03-01
Series:Geoscience Frontiers
Subjects:
GIS
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987111001034
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spelling doaj-376f95edd520442abb320234a9f799772020-11-24T23:01:08ZengElsevierGeoscience Frontiers1674-98712012-03-013220921510.1016/j.gsf.2011.11.003Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technologyV. PrasannakumarH. VijithS. AbinodN. GeethaA comprehensive methodology that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was 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 17.73 t h-1 y-1 with a close relation to grass land areas, degraded forests and deciduous forests on the steep side-slopes (with high LS). 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.http://www.sciencedirect.com/science/article/pii/S1674987111001034Soil erosionRevised Universal Soil Loss Equation (RUSLE)GISPambaWestern GhatsKerala
collection DOAJ
language English
format Article
sources DOAJ
author V. Prasannakumar
H. Vijith
S. Abinod
N. Geetha
spellingShingle V. Prasannakumar
H. Vijith
S. Abinod
N. Geetha
Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
Geoscience Frontiers
Soil erosion
Revised Universal Soil Loss Equation (RUSLE)
GIS
Pamba
Western Ghats
Kerala
author_facet V. Prasannakumar
H. Vijith
S. Abinod
N. Geetha
author_sort V. Prasannakumar
title Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
title_short Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
title_full Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
title_fullStr Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
title_full_unstemmed Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology
title_sort estimation of soil erosion risk within a small mountainous sub-watershed in kerala, india, using revised universal soil loss equation (rusle) and geo-information technology
publisher Elsevier
series Geoscience Frontiers
issn 1674-9871
publishDate 2012-03-01
description A comprehensive methodology that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was 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 17.73 t h-1 y-1 with a close relation to grass land areas, degraded forests and deciduous forests on the steep side-slopes (with high LS). 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.
topic Soil erosion
Revised Universal Soil Loss Equation (RUSLE)
GIS
Pamba
Western Ghats
Kerala
url http://www.sciencedirect.com/science/article/pii/S1674987111001034
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