Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey
The aim of the paper was to compare the soil erosion in a river catchment with the sediment volume accumulated at the river mouth. Firstly, the sediment yield was estimated in GIS based on the soil loss according to the RUSLE model, and then further integrated into the sediment production equation....
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KeAi Communications Co., Ltd.
2025-06-01
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| Series: | International Soil and Water Conservation Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095633924000741 |
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| author | Constantin Nistor Ionuț Săvulescu Gabriela Ioana-Toroimac Sorin Carablaisă |
| author_facet | Constantin Nistor Ionuț Săvulescu Gabriela Ioana-Toroimac Sorin Carablaisă |
| author_sort | Constantin Nistor |
| collection | DOAJ |
| description | The aim of the paper was to compare the soil erosion in a river catchment with the sediment volume accumulated at the river mouth. Firstly, the sediment yield was estimated in GIS based on the soil loss according to the RUSLE model, and then further integrated into the sediment production equation. Following this, we estimated the sediment volume accumulated at the river mouth based on the diachronic overlap of topographic and bathymetric data. This methodology was validated for the Eselnita catchment exiting into the Iron Gates I Reservoir. The LS factor has an average value of 4, with lower values for the forest cover. The C factor has an average value of 0.057 being statistically correlated with the RUSLE result. The average soil loss was estimated at approximately 1.89 t ha−1 yr −1, a value that is validated by previous studies as a low risk of erosion at national scale. The sediment transfer model indicates a distribution of cells sediment production strongly correlated with the time travel to the discharge channels. Overall, the sediment volume obtained by using the RUSLE model corresponds to about 70% of the sediment volume accumulated at the river mouth during 53 years (1970–2022). The difference in sedimentation may be due to human activities along the river mouth's banks to extend the built-up area and to enjoy the waterscape. This paper is relevant for the topic of reservoir sedimentation and recommends the use of the RUSLE model to predict the sediment contribution, especially for small ungauged catchments. |
| format | Article |
| id | doaj-art-43455856be14419280e9e4d6d7ffb4b8 |
| institution | OA Journals |
| issn | 2095-6339 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | KeAi Communications Co., Ltd. |
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| series | International Soil and Water Conservation Research |
| spelling | doaj-art-43455856be14419280e9e4d6d7ffb4b82025-08-20T02:09:58ZengKeAi Communications Co., Ltd.International Soil and Water Conservation Research2095-63392025-06-0113223524710.1016/j.iswcr.2024.10.005Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric surveyConstantin Nistor0Ionuț Săvulescu1Gabriela Ioana-Toroimac2Sorin Carablaisă3University of Bucharest, Faculty of Geography, 1 Nicolae Bălcescu, 010041, Bucharest, RomaniaUniversity of Bucharest, Faculty of Geography, 1 Nicolae Bălcescu, 010041, Bucharest, RomaniaUniversity of Bucharest, Faculty of Geography, 1 Nicolae Bălcescu, 010041, Bucharest, Romania; Corresponding author.University of Bucharest, Faculty of Geography, Stațiunea Geografică Orșova, 2 Street Pamfil Șeicaru, 25200, Orșova, Mehedinți, RomaniaThe aim of the paper was to compare the soil erosion in a river catchment with the sediment volume accumulated at the river mouth. Firstly, the sediment yield was estimated in GIS based on the soil loss according to the RUSLE model, and then further integrated into the sediment production equation. Following this, we estimated the sediment volume accumulated at the river mouth based on the diachronic overlap of topographic and bathymetric data. This methodology was validated for the Eselnita catchment exiting into the Iron Gates I Reservoir. The LS factor has an average value of 4, with lower values for the forest cover. The C factor has an average value of 0.057 being statistically correlated with the RUSLE result. The average soil loss was estimated at approximately 1.89 t ha−1 yr −1, a value that is validated by previous studies as a low risk of erosion at national scale. The sediment transfer model indicates a distribution of cells sediment production strongly correlated with the time travel to the discharge channels. Overall, the sediment volume obtained by using the RUSLE model corresponds to about 70% of the sediment volume accumulated at the river mouth during 53 years (1970–2022). The difference in sedimentation may be due to human activities along the river mouth's banks to extend the built-up area and to enjoy the waterscape. This paper is relevant for the topic of reservoir sedimentation and recommends the use of the RUSLE model to predict the sediment contribution, especially for small ungauged catchments.http://www.sciencedirect.com/science/article/pii/S2095633924000741Soil erosionRevised Universal Soil Loss EquationBathymetrySedimentationReservoirGIS |
| spellingShingle | Constantin Nistor Ionuț Săvulescu Gabriela Ioana-Toroimac Sorin Carablaisă Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey International Soil and Water Conservation Research Soil erosion Revised Universal Soil Loss Equation Bathymetry Sedimentation Reservoir GIS |
| title | Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey |
| title_full | Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey |
| title_fullStr | Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey |
| title_full_unstemmed | Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey |
| title_short | Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey |
| title_sort | exploring soil erosion and reservoir sedimentation through the rusle model and bathymetric survey |
| topic | Soil erosion Revised Universal Soil Loss Equation Bathymetry Sedimentation Reservoir GIS |
| url | http://www.sciencedirect.com/science/article/pii/S2095633924000741 |
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