Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology

Soil erosion and soil loss is one of the common problems threatening the environment. This degrading phenomenon declines the soil fertility and significantly affects the agricultural activity. As a consequence, the productivity of soil is affected unquestionably. In this reason, there is a basic ne...

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Main Authors: Suraj Shaikh, Masilamani Palanisamy, Abdul Rahaman Sheik Mohideen
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2020-07-01
Series:Geodesy and Cartography
Subjects:
Online Access:https://journals.vgtu.lt/index.php/GAC/article/view/10569
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spelling doaj-0b2883fbbaf547ed8369daea8628f60b2021-07-02T14:37:52ZengVilnius Gediminas Technical UniversityGeodesy and Cartography2029-69912029-70092020-07-0146210.3846/gac.2020.10569Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technologySuraj Shaikh0Masilamani Palanisamy1Abdul Rahaman Sheik Mohideen2Department of Geography, Bharathidasan University, Tiruchirappalli, IndiaDepartment of Geography, Bharathidasan University, Tiruchirappalli, IndiaDepartment of Geography, Bharathidasan University, Tiruchirappalli, India Soil erosion and soil loss is one of the common problems threatening the environment. This degrading phenomenon declines the soil fertility and significantly affects the agricultural activity. As a consequence, the productivity of soil is affected unquestionably. In this reason, there is a basic need to take up conservation and management measures which can be applied to check further soil erosion. Even though, soil erosion is a mass process spread cross the watershed, it is not economically viable to implement conservation techniques to the entire watershed. However, a method is a pre-requisite to identify the most vulnerable areas and quantify the soil erosion. In this study, Revised Universal Soil Loss Equation (RUSLE) has been accepted to estimate soil erosion in the Kummattipatti Nadi watershed part of the Coimbatore district of Tamil Nadu, India. This model has several parameters including runoff-rainfall erosivity factor (R), soil erodability Factor (K), topographic factor (LS), cropping management factor (C), and support practice factor (P). All these layers are prepared through geographical information system (GIS) by using various data sources and data preparation methods. The results of the study shows that the annual average soil loss within the watershed is about 6 t/ha/yr (metric ton per hectare per year). Higher soil erosion is observed in the land use classes of gullied wasteland, open scrub forest and degraded plantation. The soil erosion risk is extremely higher on the steep slopes and adjoining foothills. The proper conservation and management strategies has to be implement in this watershed for the development. https://journals.vgtu.lt/index.php/GAC/article/view/10569soil erosionsoil losserosivityerodabilityerosion riskRUSLE
collection DOAJ
language English
format Article
sources DOAJ
author Suraj Shaikh
Masilamani Palanisamy
Abdul Rahaman Sheik Mohideen
spellingShingle Suraj Shaikh
Masilamani Palanisamy
Abdul Rahaman Sheik Mohideen
Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology
Geodesy and Cartography
soil erosion
soil loss
erosivity
erodability
erosion risk
RUSLE
author_facet Suraj Shaikh
Masilamani Palanisamy
Abdul Rahaman Sheik Mohideen
author_sort Suraj Shaikh
title Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology
title_short Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology
title_full Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology
title_fullStr Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology
title_full_unstemmed Estimate the annual soil loss in Kummattipatti Nadi watershed using rusle model through geospatial technology
title_sort estimate the annual soil loss in kummattipatti nadi watershed using rusle model through geospatial technology
publisher Vilnius Gediminas Technical University
series Geodesy and Cartography
issn 2029-6991
2029-7009
publishDate 2020-07-01
description Soil erosion and soil loss is one of the common problems threatening the environment. This degrading phenomenon declines the soil fertility and significantly affects the agricultural activity. As a consequence, the productivity of soil is affected unquestionably. In this reason, there is a basic need to take up conservation and management measures which can be applied to check further soil erosion. Even though, soil erosion is a mass process spread cross the watershed, it is not economically viable to implement conservation techniques to the entire watershed. However, a method is a pre-requisite to identify the most vulnerable areas and quantify the soil erosion. In this study, Revised Universal Soil Loss Equation (RUSLE) has been accepted to estimate soil erosion in the Kummattipatti Nadi watershed part of the Coimbatore district of Tamil Nadu, India. This model has several parameters including runoff-rainfall erosivity factor (R), soil erodability Factor (K), topographic factor (LS), cropping management factor (C), and support practice factor (P). All these layers are prepared through geographical information system (GIS) by using various data sources and data preparation methods. The results of the study shows that the annual average soil loss within the watershed is about 6 t/ha/yr (metric ton per hectare per year). Higher soil erosion is observed in the land use classes of gullied wasteland, open scrub forest and degraded plantation. The soil erosion risk is extremely higher on the steep slopes and adjoining foothills. The proper conservation and management strategies has to be implement in this watershed for the development.
topic soil erosion
soil loss
erosivity
erodability
erosion risk
RUSLE
url https://journals.vgtu.lt/index.php/GAC/article/view/10569
work_keys_str_mv AT surajshaikh estimatetheannualsoillossinkummattipattinadiwatershedusingruslemodelthroughgeospatialtechnology
AT masilamanipalanisamy estimatetheannualsoillossinkummattipattinadiwatershedusingruslemodelthroughgeospatialtechnology
AT abdulrahamansheikmohideen estimatetheannualsoillossinkummattipattinadiwatershedusingruslemodelthroughgeospatialtechnology
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