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Evaluation of the Impact of Best Management Practices on Streamflow, Sediment and Nutrient Yield at Field and Watershed Scales

Author

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  • Avay Risal

    (Mississippi State University)

  • Prem B. Parajuli

    (Mississippi State University)

Abstract

Evaluating Best Management Practices (BMPs) in watersheds using hydrologic and water quality models can help to establish an effective watershed water management. Soil and Water Assessment Tool (SWAT) was applied to Big Sunflower River Watershed (BSRW) and the Stovall Sherard Watershed (SSW) to evaluate BMP’s impact at watershed and field scale watersheds respectively. SWAT was calibrated and validated for streamflow, sediment yield, total nitrogen (TN), and total phosphorous (TP) at outlets of three sub-basins of the BSRW, and within the SSW. BMP scenarios of check-dam, tail water pond, vegetative filter strips (VFS), nutrient management, and tillage management were evaluated for their efficacy in reducing streamflow, sediment yield, and nutrient loads at field and watershed scales. The VFS was determined as the most effective BMP in decreasing sediment yield, TN, and TP at both field and watershed scales. At field scale, reduction of sediment yield, TN, and TP by VFS ranged from 8 to 12%, 71% to 98%, and 72% to 99% respectively and at watershed scale, reduction of sediment yield, TN, and TP by VFS ranged from 12 to 38%, 29% to 87%, and 42% to 99% respectively. The application of conservation and zero tillage operation showed reduction in sediment yield by 1% to 2% respectively but increased TN and TP by 2% to 25% at field and watershed scale watersheds. This study will help in managing water at field and watershed scale watersheds regarding BMPs selection and implementation. Graphical Abstract

Suggested Citation

  • Avay Risal & Prem B. Parajuli, 2022. "Evaluation of the Impact of Best Management Practices on Streamflow, Sediment and Nutrient Yield at Field and Watershed Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 1093-1105, February.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:3:d:10.1007_s11269-022-03075-7
    DOI: 10.1007/s11269-022-03075-7
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    References listed on IDEAS

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    1. Lingqi Li & Kai Wu & Enhui Jiang & Huijuan Yin & Yuanjian Wang & Shimin Tian & Suzhen Dang, 2021. "Evaluating Runoff-Sediment Relationship Variations Using Generalized Additive Models That Incorporate Reservoir Indices for Check Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3845-3860, September.
    2. Katherine R. Merriman & Amy M. Russell & Cynthia M. Rachol & Prasad Daggupati & Raghavan Srinivasan & Brett A. Hayhurst & Todd D. Stuntebeck, 2018. "Calibration of a Field-Scale Soil and Water Assessment Tool (SWAT) Model with Field Placement of Best Management Practices in Alger Creek, Michigan," Sustainability, MDPI, vol. 10(3), pages 1-23, March.
    3. Ricci, Giovanni Francesco & D’Ambrosio, Ersilia & De Girolamo, Anna Maria & Gentile, Francesco, 2022. "Efficiency and feasibility of Best Management Practices to reduce nutrient loads in an agricultural river basin," Agricultural Water Management, Elsevier, vol. 259(C).
    4. Uribe, Natalia & Corzo, Gerald & Quintero, Marcela & van Griensven, Ann & Solomatine, Dimitri, 2018. "Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia," Agricultural Water Management, Elsevier, vol. 209(C), pages 62-72.
    5. Jang, Sun Sook & Ahn, So Ra & Kim, Seong Joon, 2017. "Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT," Agricultural Water Management, Elsevier, vol. 180(PB), pages 224-234.
    6. Dakhlalla, Abdullah O. & Parajuli, Prem B. & Ouyang, Ying & Schmitz, Darrel W., 2016. "Evaluating the impacts of crop rotations on groundwater storage and recharge in an agricultural watershed," Agricultural Water Management, Elsevier, vol. 163(C), pages 332-343.
    7. Ni, Xiaojing & Parajuli, Prem B., 2018. "Evaluation of the impacts of BMPs and tailwater recovery system on surface and groundwater using satellite imagery and SWAT reservoir function," Agricultural Water Management, Elsevier, vol. 210(C), pages 78-87.
    8. Ashish Kumar & Pravendra Kumar & Vijay Kumar Singh, 2019. "Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1217-1231, February.
    9. Pooja P. Preetha & Naveen Joseph & Balaji Narasimhan, 2021. "Quantifying Surface Water and Ground Water Interactions using a Coupled SWAT_FEM Model: Implications of Management Practices on Hydrological Processes in Irrigated River Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2781-2797, July.
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    Cited by:

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    2. Shreeya Bhattarai & Prem B. Parajuli, 2023. "Best Management Practices Affect Water Quality in Coastal Watersheds," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    3. Renfang Chang & Yunqi Wang & Huifang Liu & Zhen Wang & Lei Ma & Jiancong Zhang & Junjie Li & Zhiyi Yan & Yihui Zhang & Danqing Li, 2024. "Optimizing Non-Point Source Pollution Management: Evaluating Cost-Effective Strategies in a Small Watershed within the Three Gorges Reservoir Area, China," Land, MDPI, vol. 13(6), pages 1-21, May.
    4. Dipesh Nepal & Prem B. Parajuli, 2022. "Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT," Agriculture, MDPI, vol. 12(4), pages 1-19, April.
    5. Zohreh Hashemi Aslani & Vahid Nasiri & Carmen Maftei & Ashok Vaseashta, 2023. "Synergetic Integration of SWAT and Multi-Objective Optimization Algorithms for Evaluating Efficiencies of Agricultural Best Management Practices to Improve Water Quality," Land, MDPI, vol. 12(2), pages 1-20, February.

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