Skip to main content
ARS Home » Southeast Area » Oxford, Mississippi » National Sedimentation Laboratory » Watershed Physical Processes Research » Research » Collaborations

Collaborations

The Watershed Physical Processes Research has a long and productive history of collaborative research involving stakeholders.


Current collaborators and projects:

CLEMSON UNIVERSITY, CLEMSON, SC
  • RUSLE2 Execution Parameters Database Updates
  • LOUISIANA STATE UNIVERSITY, BATON ROUGE, LA
  • Analyses and Tools for Sonar-Derived Data of River Flow and River Bottom Geomorphology
  • Analyses of USDA Flood Control Reservoir Sedimentation
  • MIDDLE TENNESSEE STATE UNIVERSITY, MURFREESBORO, TN
  • Assessment of Conservation Practice Impacts on Water and Sediment Loads Using Enhanced USDA Field and Watershed Management Planning Technology
  • RUSLE2 c~Climate Database Updates
  • MISSISSIPPI STATE UNIVERSITY, MISSISSIPPI STATE, MS
  • Characterization of Existing Soil Conservation Practices Using Remote Sensing and Machine Learning
  • NATURAL RESOURCES CONSERVATION SERVICE, WASHINGTON, NE
  • Watershed Legacy Sediment Assessment
  • Assessing Conservation Practice Impacts on Reducing Soil Loss from Ephemeral Gullies within CEAP Watersheds
  • RUSLE2 Development
  • U.S. ARMY CORPS OF ENGINEERS, SACRAMENTO DIST, Sacramento
  • Provide Soil Erosion-Resistance Data of Lower American River Site 4a to USACE, Sacramento District, for Risk-Based Evaluation of Bank Erosion
  • U.S. ENVIRONMENTAL PROTECTION AGENCY, WASHINGTON, DC
  • Assess Agricultural Conservation Practices to Reduce Nutrient Losses
  • UNIVERSITY OF ILLINOIS, URBANA, IL
  • Database of Lower Mississippi River Alluvial Plain Stream System Morphologic Attributes
  • UNIVERSITY OF MISSISSIPPI, UNIVERSITY, MS
  • Utilizing Acoustic and Geophysics Technology to Assess and Monitor Watersheds in the United States
  • Wave Erosion Measurements for an Irrigation Reservoir Embankment
  • Computational Tools & Decision Support System Technologies for Agricultural Watershed Physical Processes, Water Quality and Ground Water Management
  • Measurement and Modeling of Groundwater Recharge in Agroecosystems
  • Groundwater and Soil Water Dynamics Modeling to Advance Erosion Prediction in Agricultural Fields