Ritesh Karki
Auburn University
16 Papers
14 Citations
Ritesh Karki is an academic researcher from Auburn University. The author has contributed to research in topics: Surface runoff & Watershed. The author has an hindex of 4, co-authored 10 publications. Previous affiliations of Ritesh Karki include University of Maryland, College Park & Mississippi State University.
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Papers
Application of AnnAGNPS to model an agricultural watershed in East-Central Mississippi for the evaluation of an on-farm water storage (OFWS) system
TL;DR: In this paper, the authors used the ANNAGNPSM to simulate runoff, nutrients (total Nitrogen and total Phosphorus), and sediment from an agricultural watershed of 30.3 hectares in East-Central Mississippi.
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Improving the representation of forests in hydrological models.
Henrique Haas,Nathan Reaver,Ritesh Karki,Latif Kalin,Puneet Srivastava,David Kaplan,Carlos A. Gonzalez-Benecke +6 more
TL;DR: In this article, a re-parameterization of the default Soil and Water Assessment Tool (SWAT) parameterization was applied to the two dominant pine species in the southeastern U.S., loblolly pine (Pinus taeda L.) and slash pine (pinus elliotti), and the results were validated against MODIS-derived leaf area index (LAI) and evapotranspiration (ET).
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Evaluating the nutrient reduction and water supply benefits of an on-farm water storage (OFWS) system in East Mississippi
TL;DR: In this paper, a monitoring study was conducted for an On-Farm Water Storage (OFWS) system located on a corn and soybean farm in East Mississippi from June 2014 to August 2016 to analyze the effectiveness of the system for reducing downstream nutrient runoff, supplying water for irrigation, and recycling nutrients in captured water that is reapplied to the field.
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Multi-Variable Sensitivity Analysis, Calibration, and Validation of a Field-Scale SWAT Model: Building Stakeholder Trust in Hydrologic and Water Quality Modeling
Ritesh Karki,Puneet Srivastava,David D. Bosch,Latif Kalin,Jasmeet Lamba,Timothy C. Strickland +5 more
TL;DR: In this paper, the authors evaluated the ability of SWAT to simulate runoff, soil moisture, cotton and peanut yields, and nitrate in conventionally tilled and strip-tilled plots while also evaluating the differences in hydrological and nutrient simulation parameters for two tillage practices.
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