GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India
The current investigation was conducted in the Murredu watershed, situated in India. The essential datasets, such as the digital elevation model (DEM), soil, land use land cover (LULC), and rainfall parameters, were processed and analysed using a Geographic Information System (GIS) environment. The...
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KeAi Communications Co., Ltd.
2024-01-01
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| Series: | HydroResearch |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589757824000192 |
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| author | Padala Raja Shekar Aneesh Mathew |
| author_facet | Padala Raja Shekar Aneesh Mathew |
| author_sort | Padala Raja Shekar |
| collection | DOAJ |
| description | The current investigation was conducted in the Murredu watershed, situated in India. The essential datasets, such as the digital elevation model (DEM), soil, land use land cover (LULC), and rainfall parameters, were processed and analysed using a Geographic Information System (GIS) environment. The current research utilised the revised universal soil loss equation (RUSLE) model to assess the mean soil loss in the Murredu watershed. The mean annual soil loss was calculated to be 14.06 t/ha/year, indicating a high soil erosion risk. The RUSLE model results indicated a good outcome with an accuracy of 72.8%. Furthermore, the research area revealed that sub-watersheds (SW) 2 and SW 14 had the maximum and minimum mean annual soil loss, respectively. The sediment delivery ratio (SDR) for the Murredu watershed was determined to be 0.227. The Murredu watershed outlet received a mean annual sediment yield of 3.19 t/ha/year. Through investigation, it was determined that SW 2 had the maximum mean annual sediment yield, while SW 11 had the minimum. This current investigation provides valuable insights for stakeholders, decision-makers, and policymakers regarding sustainable ways of managing watersheds. |
| format | Article |
| id | doaj-art-b7b7dd01adfa4142bde76c7acace40ae |
| institution | OA Journals |
| issn | 2589-7578 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co., Ltd. |
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| series | HydroResearch |
| spelling | doaj-art-b7b7dd01adfa4142bde76c7acace40ae2025-08-20T02:06:57ZengKeAi Communications Co., Ltd.HydroResearch2589-75782024-01-01731532510.1016/j.hydres.2024.05.003GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, IndiaPadala Raja Shekar0Aneesh Mathew1Department of Civil Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, IndiaCorresponding author.; Department of Civil Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, IndiaThe current investigation was conducted in the Murredu watershed, situated in India. The essential datasets, such as the digital elevation model (DEM), soil, land use land cover (LULC), and rainfall parameters, were processed and analysed using a Geographic Information System (GIS) environment. The current research utilised the revised universal soil loss equation (RUSLE) model to assess the mean soil loss in the Murredu watershed. The mean annual soil loss was calculated to be 14.06 t/ha/year, indicating a high soil erosion risk. The RUSLE model results indicated a good outcome with an accuracy of 72.8%. Furthermore, the research area revealed that sub-watersheds (SW) 2 and SW 14 had the maximum and minimum mean annual soil loss, respectively. The sediment delivery ratio (SDR) for the Murredu watershed was determined to be 0.227. The Murredu watershed outlet received a mean annual sediment yield of 3.19 t/ha/year. Through investigation, it was determined that SW 2 had the maximum mean annual sediment yield, while SW 11 had the minimum. This current investigation provides valuable insights for stakeholders, decision-makers, and policymakers regarding sustainable ways of managing watersheds.http://www.sciencedirect.com/science/article/pii/S2589757824000192RUSLE modelSoil lossSediment yieldSDRValidation |
| spellingShingle | Padala Raja Shekar Aneesh Mathew GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India HydroResearch RUSLE model Soil loss Sediment yield SDR Validation |
| title | GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India |
| title_full | GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India |
| title_fullStr | GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India |
| title_full_unstemmed | GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India |
| title_short | GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India |
| title_sort | gis based assessment of soil erosion and sediment yield using the revised universal soil loss equation rusle model in the murredu watershed telangana india |
| topic | RUSLE model Soil loss Sediment yield SDR Validation |
| url | http://www.sciencedirect.com/science/article/pii/S2589757824000192 |
| work_keys_str_mv | AT padalarajashekar gisbasedassessmentofsoilerosionandsedimentyieldusingthereviseduniversalsoillossequationruslemodelinthemurreduwatershedtelanganaindia AT aneeshmathew gisbasedassessmentofsoilerosionandsedimentyieldusingthereviseduniversalsoillossequationruslemodelinthemurreduwatershedtelanganaindia |