Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam
Central Vietnam is very susceptible to soil erosion due to its complicated terrain and heavy rainfall. The objective of this study was to quantify soil erosion in the A Sap river basin, A Luoi district, Thua Thien Hue Province, Vietnam, using the Universal Soil Loss Equation (USLE) and Geographical...
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Format: | Article |
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KeAi Communications Co., Ltd.
2018-06-01
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Series: | International Soil and Water Conservation Research |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2095633917302162 |
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author | Tung Gia Pham Jan Degener Martin Kappas |
author_facet | Tung Gia Pham Jan Degener Martin Kappas |
author_sort | Tung Gia Pham |
collection | DOAJ |
description | Central Vietnam is very susceptible to soil erosion due to its complicated terrain and heavy rainfall. The objective of this study was to quantify soil erosion in the A Sap river basin, A Luoi district, Thua Thien Hue Province, Vietnam, using the Universal Soil Loss Equation (USLE) and Geographical Information System (GIS). The results showed that 34% of land area lost accumulated to 10 t ha−1 year−1 while 47% of the total area lost less than 1 t ha−1 year−1. Natural forest land lost the most with an average of about 19 t ha−1 year−1, followed by plantation forest with approximately 7 t ha−1 year−1 and other agricultural lands at 3.70 and 1.45 t ha−1 year−1 for yearly crops and paddy rice, respectively. Soil erosion was most sensitive to the topographic factor (LS), followed by the practice support factor (P), soil erodibility factor (K), cropping management (C), and the rainfall erosivity factor (R). Implications are that changes to the cultivated calendar and implementing intercropping are effective ways to prevent soil erosion in cultivated lands. Furthermore, introducing broad leaves trees for mountainous areas in A Sap basin was the most effective practice in reducing soil erosion. The study also pointed out that the combination of available data sources used with the USLE and GIS technology is a viable option to calculate soil erosion in Central Vietnam, which would allow targeted attention toward a solution is to reduce future soil erosion. Keywords: Central Vietnam, GIS, Soil erosion, USLE |
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issn | 2095-6339 |
language | English |
last_indexed | 2024-03-07T17:31:39Z |
publishDate | 2018-06-01 |
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series | International Soil and Water Conservation Research |
spelling | doaj.art-047d5e265d444fd581e06a55fb03c7ad2024-03-02T17:38:45ZengKeAi Communications Co., Ltd.International Soil and Water Conservation Research2095-63392018-06-016299110Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central VietnamTung Gia Pham0Jan Degener1Martin Kappas2Cartography, GIS and Remote Sensing Department, Göttingen University, Germany; University of Agriculture and Forestry, Hue University, Vietnam; Corresponding author at: Cartography, GIS and Remote Sensing Department, Institute of Geography, Georg August University of Goettingen, Goldschmidstr. 5, 37077 Goettingen, Germany.Cartography, GIS and Remote Sensing Department, Göttingen University, GermanyCartography, GIS and Remote Sensing Department, Göttingen University, GermanyCentral Vietnam is very susceptible to soil erosion due to its complicated terrain and heavy rainfall. The objective of this study was to quantify soil erosion in the A Sap river basin, A Luoi district, Thua Thien Hue Province, Vietnam, using the Universal Soil Loss Equation (USLE) and Geographical Information System (GIS). The results showed that 34% of land area lost accumulated to 10 t ha−1 year−1 while 47% of the total area lost less than 1 t ha−1 year−1. Natural forest land lost the most with an average of about 19 t ha−1 year−1, followed by plantation forest with approximately 7 t ha−1 year−1 and other agricultural lands at 3.70 and 1.45 t ha−1 year−1 for yearly crops and paddy rice, respectively. Soil erosion was most sensitive to the topographic factor (LS), followed by the practice support factor (P), soil erodibility factor (K), cropping management (C), and the rainfall erosivity factor (R). Implications are that changes to the cultivated calendar and implementing intercropping are effective ways to prevent soil erosion in cultivated lands. Furthermore, introducing broad leaves trees for mountainous areas in A Sap basin was the most effective practice in reducing soil erosion. The study also pointed out that the combination of available data sources used with the USLE and GIS technology is a viable option to calculate soil erosion in Central Vietnam, which would allow targeted attention toward a solution is to reduce future soil erosion. Keywords: Central Vietnam, GIS, Soil erosion, USLEhttp://www.sciencedirect.com/science/article/pii/S2095633917302162 |
spellingShingle | Tung Gia Pham Jan Degener Martin Kappas Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam International Soil and Water Conservation Research |
title | Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam |
title_full | Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam |
title_fullStr | Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam |
title_full_unstemmed | Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam |
title_short | Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam |
title_sort | integrated universal soil loss equation usle and geographical information system gis for soil erosion estimation in a sap basin central vietnam |
url | http://www.sciencedirect.com/science/article/pii/S2095633917302162 |
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