ERMiT - Erosion Risk Management Tool
Erosion mitigation efforts are often put in place following major disturbances such as wildfires.
Soil erosion rates and the effectiveness of erosion control efforts can vary greatly and are highly dependent on
climate and weather. There is also a general lack of documentation and understanding of how to design effective
erosion reduction treatments following wildfire.
To address this shortfall scientists
with the RMRS
Moscow Forestry Sciences Laboratory
initiated major studies to:
1) measure soil erosion rates following wildfire; and 2) develop ways to incorporate location variability into predicting
soil erosion efficacy and control.
These efforts helped Station researchers and cooperators from the Agricultural Research Service develop an online program
called the Erosion Risk Management Tool, or ERMiT, that predicts postfire erosion. ERMiT not only incorporates variability
into predicting erosion, but also allows users to estimate the effectiveness of seeding, applying mulch, and
installing logs on hillslopes.
Risk-based soil erosion modeling is on the cutting edge of erosion prediction, and has been quickly embraced by public
land managers. Over 200 public and private specialists have been trained to apply the ERMiT technology in workshops
sponsored by the Forest Service and the Bureau of Land Management. In 2006, the ERMiT model was run over 2,000 times,
including real-time use on actual fires. In the first three weeks of August alone, users from 9 different states on at
least 20 fires used ERMiT to support over 150 wildfire impact analyses.
More information is available in
"Predicting Postfire Erosion and Mitigation Effectiveness with a Web-based Probabilistic Erosion Model",
accepted for publication in CATENA, or on the web at
ERMiT.
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