IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i4p477-d781888.html
   My bibliography  Save this article

Assessment of BMPs by Estimating Hydrologic and Water Quality Outputs Using SWAT in Yazoo River Watershed

Author

Listed:
  • Vivek Venishetty

    (Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USA)

  • Prem B. Parajuli

    (Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USA)

Abstract

Water quality is a global concern; it is due to point and non-point source pollution. Non-point sources for pollution are mainly runoff from Agricultural and forest. To decrease nutrient inputs, management practices are implemented. Using Soil and Water Assessment Tool, water quality parameters can be quantified. Yazoo River Watershed is the largest watershed in Mississippi, which have impact on surface water quality due to large scale agriculture and forest lands. Model has been calibrated and validated for streamflow, sediment, Total Nitrogen (TN), Total Phosphorus (TP) for the USGS gauge stations in the watershed. Model efficiency was assessed with Coefficient of Determination ( R 2 ) and Nash-Sutcliffe Efficiency index (NSE). Best Management Practices (BMPs) were implemented throughout the watershed to simulate the impact of BMPs on streamflow, sediment, and nutrient yields. Vegetative Filter Strips (VFS), Riparian Buffer, combination of VFS and Riparian buffer and Cover Crops (CC) were tested for assessing the effective BMP in improving water quality. VFS, Riparian buffer and both (VFS + riparian) have no effect on streamflow, but they were able to decrease sediment, TN, and TP yields. Scenario with both VFS and Riparian buffer had the highest reduction capability as per varying width (5, 10, 15, and 20 m). For CC, Rye grass, Winter Barley and Winter Wheat (WW) were used, of which Rye grass had highest, 5.3% reduction in streamflow. WW has the highest Total Nitrogen reduction that is of 25.4%. CC also has significant reduction ranged between 10% to 11% for TP. This research would assist the Agricultural community to apply appropriate Management practices to improve water quality.

Suggested Citation

  • Vivek Venishetty & Prem B. Parajuli, 2022. "Assessment of BMPs by Estimating Hydrologic and Water Quality Outputs Using SWAT in Yazoo River Watershed," Agriculture, MDPI, vol. 12(4), pages 1-14, March.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:4:p:477-:d:781888
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/4/477/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/4/477/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jason H. Knouft & Alejandra Botero-Acosta & Chin-Lung Wu & Barbara Charry & Maria L. Chu & Anthony I. Dell & Damon M. Hall & Steven J. Herrington, 2021. "Forested Riparian Buffers as Climate Adaptation Tools for Management of Riverine Flow and Thermal Regimes: A Case Study in the Meramec River Basin," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    2. 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.
    3. 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.
    4. Parajuli, P.B. & Jayakody, P. & Sassenrath, G.F. & Ouyang, Y., 2016. "Assessing the impacts of climate change and tillage practices on stream flow, crop and sediment yields from the Mississippi River Basin," Agricultural Water Management, Elsevier, vol. 168(C), pages 112-124.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shailendra Singh & Soonho Hwang & Jeffrey G. Arnold & Rabin Bhattarai, 2023. "Evaluation of Agricultural BMPs’ Impact on Water Quality and Crop Production Using SWAT+ Model," Agriculture, MDPI, vol. 13(8), pages 1-16, July.
    2. Venkatachalam Kasthuri Thilagam & Sandrasekaran Manivannan & Om Pal Singh Khola, 2023. "Deriving Land Management Practices for Reduced Nutrient Movement from an Agricultural Watershed Using the AGNPS Model," Sustainability, MDPI, vol. 15(5), pages 1-14, February.
    3. Shreeya Bhattarai & Prem B. Parajuli, 2023. "Best Management Practices Affect Water Quality in Coastal Watersheds," Sustainability, MDPI, vol. 15(5), pages 1-17, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaojing Ni & Prem B. Parajuli & Ying Ouyang, 2020. "Assessing Agriculture Conservation Practice Impacts on Groundwater Levels at Watershed Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1553-1566, March.
    2. 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.
    3. Risal, Avay & Parajuli, Prem B. & Dash, Padmanava & Ouyang, Ying & Linhoss, Anna, 2020. "Sensitivity of hydrology and water quality to variation in land use and land cover data," Agricultural Water Management, Elsevier, vol. 241(C).
    4. Prem B. Parajuli & Priyantha Jayakody & Ying Ouyang, 2018. "Evaluation of Using Remote Sensing Evapotranspiration Data in SWAT," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 985-996, February.
    5. 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.
    6. Xuekai Chen & Guojian He & Xiaobo Liu & Bogen Li & Wenqi Peng & Fei Dong & Aiping Huang & Weijie Wang & Qiuyue Lian, 2021. "Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment," Land, MDPI, vol. 10(12), pages 1-25, December.
    7. 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).
    8. Edward Osei & Syed H. Jafri & Ali Saleh & Philip W. Gassman & Oscar Gallego, 2023. "Simulated Climate Change Impacts on Corn and Soybean Yields in Buchanan County, Iowa," Agriculture, MDPI, vol. 13(2), pages 1-21, January.
    9. Timothy P. Neher & Michelle L. Soupir & Rameshwar S. Kanwar, 2021. "Lake Atitlan: A Review of the Food, Energy, and Water Sustainability of a Mountain Lake in Guatemala," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    10. Pinheiro, Everton Alves Rodrigues & de Jong van Lier, Quirijn & Šimůnek, Jirka, 2019. "The role of soil hydraulic properties in crop water use efficiency: A process-based analysis for some Brazilian scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 364-377.
    11. Lingyan Xu & Jing Jiang & Mengyi Lu & Jianguo Du, 2022. "Spatial-Temporal Evolution Characteristics of Agricultural Intensive Management and Its Influence on Agricultural Non-Point Source Pollution in China," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    12. 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.
    13. Özcan, Zeynep & Kentel, Elçin & Alp, Emre, 2017. "Evaluation of the best management practices in a semi-arid region with high agricultural activity," Agricultural Water Management, Elsevier, vol. 194(C), pages 160-171.
    14. Olufemi Abimbola & Aaron Mittelstet & Tiffany Messer & Elaine Berry & Ann van Griensven, 2020. "Modeling and Prioritizing Interventions Using Pollution Hotspots for Reducing Nutrients, Atrazine and E. coli Concentrations in a Watershed," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    15. Hu Cui & Yang Ou & Lixia Wang & Baixing Yan & Lu Han & Yingxin Li, 2019. "Change in the Distribution of Phosphorus Fractions in Aggregates under Different Land Uses: A Case in Sanjiang Plain, Northeast China," IJERPH, MDPI, vol. 16(2), pages 1-14, January.
    16. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:4:p:477-:d:781888. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.