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Title: Validation of a probabilistic post-fire erosion model

Author: Robichaud, Pete; Elliot, William J.; Lewis, Sarah A.; Miller, Mary Ellen;

Date: 2016

Source: International Journal of Wildland Fire. 25(3): 337-350.

Publication Series: Scientific Journal (JRNL)

Description:

Post-fire increases of runoff and erosion often occur and land managers need tools to be able to project the increased risk. The Erosion Risk Management Tool (ERMiT) uses the Water Erosion Prediction Project (WEPP) model as the underlying processor. ERMiT predicts the probability of a given amount of hillslope sediment delivery from a single rainfall or snowmelt event on unburned, burned and recovering forest, range and chaparral hillslopes and the effectiveness of selected mitigation treatments. Eight published field study sites were used to compare ERMiT predictions with observed sediment deliveries. Most sites experienced only a few rainfall events that produced runoff and sediment (1.3-9.2%) except for a California site with a Mediterranean climate (45.6%). When sediment delivery occurred, pooled Spearman rank correlations indicated significant correlations between the observed sediment delivery and those predicted by ERMiT. Correlations were p=0.65 for the controls, p=0.59 for the log erosion barriers and p=0.27 (not significant) for the mulch treatments. Half of the individual sites also had significant correlations, as did 6 of 7 compared post-fire years. These model validation results suggest reasonable estimates of probabilistic post-fire hillslope sediment delivery when compared with observations from eight field sites.

Keywords: erosion prediction, FS WEPP, post-fire assessment, probabilistic model

Publication Notes:

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Citation:


Robichaud, Peter R.; Elliot, William J.; Lewis, Sarah A.; Miller, Mary Ellen. 2016. Validation of a probabilistic post-fire erosion model. International Journal of Wildland Fire. 25(3): 337-350.

 


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