Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT
The selection and execution of appropriate best management practices (BMPs) in critical areas of a watershed can effectively reduce sediment yield. Objectives of this research include developing a watershed-scale Soil and Water Assessment Tool (SWAT) model for the Big Sunflower River Watershed (BSRW...
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MDPI AG
2022-04-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/12/4/518 |
| _version_ | 1827622207041306624 |
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| author | Dipesh Nepal Prem B. Parajuli |
| author_facet | Dipesh Nepal Prem B. Parajuli |
| author_sort | Dipesh Nepal |
| collection | DOAJ |
| description | The selection and execution of appropriate best management practices (BMPs) in critical areas of a watershed can effectively reduce sediment yield. Objectives of this research include developing a watershed-scale Soil and Water Assessment Tool (SWAT) model for the Big Sunflower River Watershed (BSRW), identifying high sediment yield areas using calibrated and validated model, and assessing the effects of various BMPs. The efficiency of three BMPs, grassed waterways (GWW), vegetative filter strips (VFS), and grade stabilization structures (GSS), and their combinations in reducing sediment yield, were investigated. The model performed well for streamflow (P-factor = 0.72–0.87; R-factor = 0.74–1.27; R<sup>2</sup> = 0.60–0.86; NSE = 0.60–0.86) and total suspended solids (TSS) (P-factor = 0.56–0.89; R-factor = 0.43–2.83; R<sup>2</sup> = 0.62–0.91; NSE = 0.38–0.91) during calibration and validation. The simulation of individual BMPs revealed that GWW showed the highest sediment yield reduction (up to 44%), followed by VFS (up to 38%) and GSS (up to 7%). Two BMPs’ combinations showed that GSS and GWW had the largest sediment yield reduction potential (up to 47%) while VFS and GSS had the lowest potential (up to 42%). Similarly, a combination of all three BMPs reduced the sediment yield up to 50%. The findings of this study will aid in sustainable watershed management and will be valuable for watershed managers and planners. |
| first_indexed | 2024-03-09T11:19:13Z |
| format | Article |
| id | doaj.art-78fca58fe81c4acab7b8d601d4f391a2 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T11:19:13Z |
| publishDate | 2022-04-01 |
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| series | Agriculture |
| spelling | doaj.art-78fca58fe81c4acab7b8d601d4f391a22023-12-01T00:24:29ZengMDPI AGAgriculture2077-04722022-04-0112451810.3390/agriculture12040518Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWATDipesh Nepal0Prem B. Parajuli1Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USADepartment of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USAThe selection and execution of appropriate best management practices (BMPs) in critical areas of a watershed can effectively reduce sediment yield. Objectives of this research include developing a watershed-scale Soil and Water Assessment Tool (SWAT) model for the Big Sunflower River Watershed (BSRW), identifying high sediment yield areas using calibrated and validated model, and assessing the effects of various BMPs. The efficiency of three BMPs, grassed waterways (GWW), vegetative filter strips (VFS), and grade stabilization structures (GSS), and their combinations in reducing sediment yield, were investigated. The model performed well for streamflow (P-factor = 0.72–0.87; R-factor = 0.74–1.27; R<sup>2</sup> = 0.60–0.86; NSE = 0.60–0.86) and total suspended solids (TSS) (P-factor = 0.56–0.89; R-factor = 0.43–2.83; R<sup>2</sup> = 0.62–0.91; NSE = 0.38–0.91) during calibration and validation. The simulation of individual BMPs revealed that GWW showed the highest sediment yield reduction (up to 44%), followed by VFS (up to 38%) and GSS (up to 7%). Two BMPs’ combinations showed that GSS and GWW had the largest sediment yield reduction potential (up to 47%) while VFS and GSS had the lowest potential (up to 42%). Similarly, a combination of all three BMPs reduced the sediment yield up to 50%. The findings of this study will aid in sustainable watershed management and will be valuable for watershed managers and planners.https://www.mdpi.com/2077-0472/12/4/518best management practices (BMPs)SWATflowmodelsediment yieldwatershed |
| spellingShingle | Dipesh Nepal Prem B. Parajuli Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT Agriculture best management practices (BMPs) SWAT flow model sediment yield watershed |
| title | Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT |
| title_full | Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT |
| title_fullStr | Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT |
| title_full_unstemmed | Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT |
| title_short | Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT |
| title_sort | assessment of best management practices on hydrology and sediment yield at watershed scale in mississippi using swat |
| topic | best management practices (BMPs) SWAT flow model sediment yield watershed |
| url | https://www.mdpi.com/2077-0472/12/4/518 |
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