June 4, 2024

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Dipesh Nepal Coauthored a Paper on BMPs in the Journal, Hydrology

Dipesh Nepal, PhD, coauthored “Evaluating Best Practice Management Efficacy Based on Seasonal Variability and Spatial Scales” in a special issue of Hydrology titled Hydrological Processes in Agricultural Watersheds published in April 2024.

His coauthors were Vivek Venishetty, Perm B. Parajuli, Filip To, and Beth Baker of Mississippi State University and Veera Gnaneswar Gude of Purdue University.

Dipesh is a biosystems engineer based in Texas who focuses on hydrological, hydraulic, water-quality simulations, and remote-sensing applications.

Hydrology is an international, peer-reviewed, open-access journal on hydrology published monthly online by MDPI.

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Abstract

Implementing best management practices (BMPs) has proven to be an efficient method for reducing non-point source (NPS) pollutants. Agricultural NPS pollution is considered to be a major contributor to water quality impairment. This study aims to assess the variation in hydrologic and water quality outputs at field and watershed scales when BMPs are implemented using modeling approaches. The Yazoo River Watershed (YRW) is the largest watershed basin in the state of Mississippi with approximately 50% agricultural land. Runoff generated from agricultural areas carries sediments and nutrients. The Merigold Watershed (MW) is a sub-basin of the YRW and a field-scale watershed with most of the land use being agriculture. It is essential to quantify the streamflow, sediment, total nitrogen (TN), and total phosphorus (TP) when BMPs are implemented. BMPs such as vegetative filter strips (VFS) and cover crops (CC) were tested in this study. The Soil and Water Assessment Tool (SWAT) model was applied to quantify the watershed’s hydrologic and water quality outputs. SWAT model accuracy assessment was performed by calibration and validation process using the Nash and Sutcliffe Efficiency Index (NSE). Model performance was satisfactory for monthly streamflow, with NSE values in the range of 0.62 to 0.81, and for daily sediments, TN, and TP load estimation, with NSE values of 0.21, 0.20, and 0.47, respectively. CCs were planted after harvesting the main crop. Therefore, it is essential to quantify the seasonal reduction in pollutants. Water quality was improved after BMP implementation, and an overall decrease in streamflow, sediment, TN, and TP loads was observed for both MW and YRW during dry and wet seasons. Previous studies regarding seasonal assessments with CC implementation in the MW and YRW were limited.

More Information

Learn more: Evaluating Best Management Practice Efficacy Based on Seasonal Variability and Spatial Scales
Learn more about the publication: Hydrology
Learn more about MDPI.
For more information on best management practices, contact Dipesh at This email address is being protected from spambots. You need JavaScript enabled to view it..