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Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds

A study was carried out to assess soil erosion under natural forest in watershed using the Universal Soil Loss Equation (USLE) model within a Geographic Information System (GIS) environment. The Sg. Weng Experimental Watershed, located within Hulu Muda Forest Reserve, Kedah, Malaysia was chosen...

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Main Author: Tan, Albert Thean Wei
Format: Thesis
Language:English
English
Published: 2002
Subjects:
Geographic information systems - Soil erosion - Kedah - Sg. Weng Watershed - Case studies
Online Access:http://psasir.upm.edu.my/id/eprint/10110/1/FH_2002_16.pdf
http://psasir.upm.edu.my/id/eprint/10110/
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spelling my.upm.eprints.101102024-03-13T04:36:32Z http://psasir.upm.edu.my/id/eprint/10110/ Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds Tan, Albert Thean Wei A study was carried out to assess soil erosion under natural forest in watershed using the Universal Soil Loss Equation (USLE) model within a Geographic Information System (GIS) environment. The Sg. Weng Experimental Watershed, located within Hulu Muda Forest Reserve, Kedah, Malaysia was chosen for this study. The study area comprised four watersheds namely Watershed 1 (2.6 sq. Ion), Watershed 2 (8.4 sq. Ion), Watershed 3 (7.6 sq. Ion) and Watershed 5 (42.1 sq. Ian). The USLE model consists of five factors namely rainfall erosivity (R), soil erodibility (K), length slope (LS), crop management (C) and support practice (P) factors. The R factor was obtained based on four methods namely Morgan (1974), Balamurugan (1990), Roose (1977) and rainfall equal or exceeding 25 mmIhr (this study). Using a regular grid of Digital Elevation Model (OEM), a method based on the maximum downhill slope and cumulative slope length was used for calculating the LS factor. K factor was obtained from Department of Agriculture, Kedah based on five soil series. The C and P were combined into a single factor called vegetation management (VM). The values obtained for each parameter were later converted to raster layers for modeling the soil erosion. 2002-08 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/10110/1/FH_2002_16.pdf Tan, Albert Thean Wei (2002) Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds. Masters thesis, Universiti Putra Malaysia. Geographic information systems - Soil erosion - Kedah - Sg. Weng Watershed - Case studies English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
topic Geographic information systems - Soil erosion - Kedah - Sg. Weng Watershed - Case studies
spellingShingle Geographic information systems - Soil erosion - Kedah - Sg. Weng Watershed - Case studies
Tan, Albert Thean Wei
Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds
description A study was carried out to assess soil erosion under natural forest in watershed using the Universal Soil Loss Equation (USLE) model within a Geographic Information System (GIS) environment. The Sg. Weng Experimental Watershed, located within Hulu Muda Forest Reserve, Kedah, Malaysia was chosen for this study. The study area comprised four watersheds namely Watershed 1 (2.6 sq. Ion), Watershed 2 (8.4 sq. Ion), Watershed 3 (7.6 sq. Ion) and Watershed 5 (42.1 sq. Ian). The USLE model consists of five factors namely rainfall erosivity (R), soil erodibility (K), length slope (LS), crop management (C) and support practice (P) factors. The R factor was obtained based on four methods namely Morgan (1974), Balamurugan (1990), Roose (1977) and rainfall equal or exceeding 25 mmIhr (this study). Using a regular grid of Digital Elevation Model (OEM), a method based on the maximum downhill slope and cumulative slope length was used for calculating the LS factor. K factor was obtained from Department of Agriculture, Kedah based on five soil series. The C and P were combined into a single factor called vegetation management (VM). The values obtained for each parameter were later converted to raster layers for modeling the soil erosion.
format Thesis
author Tan, Albert Thean Wei
author_facet Tan, Albert Thean Wei
author_sort Tan, Albert Thean Wei
title Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds
title_short Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds
title_full Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds
title_fullStr Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds
title_full_unstemmed Application of Geographic Information System (GIS) in Soil Erosion Prediction: A Case Study of the Sg. Weng Experimental Watersheds
title_sort application of geographic information system (gis) in soil erosion prediction: a case study of the sg. weng experimental watersheds
publishDate 2002
url http://psasir.upm.edu.my/id/eprint/10110/1/FH_2002_16.pdf
http://psasir.upm.edu.my/id/eprint/10110/
_version_ 1794564279507091456
score 13.211869

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