Document Type
Article
Publication Date
8-2023
Publication Title
Geophysical Research Letters
Abstract
Predicting sediment yield from recently burned areas remains a challenge but is important for hazard and resource management as wildfire impacts increase. Here we use lidar-based monitoring of two fires in southern California, USA to study the movement of sediment during pre-rainfall periods and postfire periods of flooding and debris flows over multiple storm events. Using a data-driven approach, we examine the relative importance of terrain, vegetation, burn severity, and rainfall amounts through time on sediment yield. We show that incipient fire-activated dry sediment loading and pre-fire colluvium were rapidly flushed out by debris flows and floods but continued erosion occurred later in the season from soil erosion and, in ∼9% of catchments, from shallow landslides. Based on these observations, we develop random forest regression models to predict dry ravel and incipient runoff-driven sediment yield applicable to small steep headwater catchments in southern California.
Recommended Citation
Guilinger, James J.; Foufoula-Georgiou, Efi; Gray, Andrew B.; Randerson, James T.; Smyth, Padhraic; Barth, Nicolas C.; and Goulden, Michael L., "Predicting Postfire Sediment Yields of Small Steep Catchments Using Airborne Lidar Differencing" (2023). AES Faculty Publications and Presentations. 24.
https://digitalcommons.csumb.edu/aes_fac/24
Comments
Published in Geophysical Research Letters by American Geophysical Union. Available via doi: 10.1029/2023GL104626.
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