Welcome to RUSLE2!

RUSLE2 is an advanced, user-friendly software model that predicts long-term, average-annual erosion by water. It runs under Windows, and can be used for a broad range of farming, conservation, mining, construction, and forestry sites.  Its origin was the widely-used DOS-based Revised Universal Soil Loss Equation (RUSLE). The extensive climate, soil, vegetation, and cropping management databases available for that model are currently being enhanced, prior to deploying RUSLE2 in several thousand USDA NRCS field offices.

RUSLE2's engine is adaptive -- the model continually shrinks or expands as outputs are hidden or requested.  It provides output immediately from default inputs -- then refines the output as the user provides more accurate data.  It automatically recalculates -- just like a spreadsheet.  Users can choose from alternate ways of calculating data, or override calculations with known field data.
RUSLE2's appearance is flexible -- it can be altered to suit a particular user, group, industry, task, or language.  Variables can be moved, hidden, highlit, or graphed. Displayed units and systems of measurement can be changed. Tables can be expanded and folders rearranged. These user preferences can then be saved and recalled, allowing specialized views of the same model.  

RUSLE2 reduces complexity -- it hides detail from novice users, but lets experienced users "drill down".  Information is grouped into reusable "objects" (vegetations, soils, climates, field operations, etc.) that an average user understands.  

RUSLE2 can be run as a standalone application, from a third-party application, from a browser, or from an MS Word document with pictures and text. Because of its view customization, modeling engine, widespread adoption, and extensive data support, the RUSLE2 platform is ideal for delivering a variety of environmental models.
Field erosion, photo courtesy of USDA NRCS Please look around!   We've provided pages to help you learn, download, report bugs, and offer feedback.
Developed by the University of Tennessee Biosystems Engineering & Soil Science Department,
in cooperation with USDA-ARS, the National Sedimentation Laboratory, USDA-NRCS, and the Bureau of Land Management.
rusle2.org, 8/5/02