US Forest Service
  
Treesearch

Pacific Southwest

 

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

USA.gov  Government Made Easy

Publication Information

Title: Predicting Debris-Slide Locations in Northwestern California

Author: Reid, Mark E.; Ellen, Stephen D.; Brien, Dianne L.; de la Fuente, Juan; Falls, James N.; Hicks, Billie G.; Johnson, Eric C.

Date: 2007

Source: In: Standiford, Richard B.; Giusti, Gregory A.; Valachovic, Yana; Zielinski, William J.; Furniss, Michael J., technical editors. 2007. Proceedings of the redwood region forest science symposium: What does the future hold? Gen. Tech. Rep. PSW-GTR-194. Albany, CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture; p. 347-356

Station ID: GTR-PSW-194

Description: We tested four topographic models for predicting locations of debris-slide sources: 1) slope; 2) proximity to stream; 3) SHALSTAB with "standard" parameters; and 4) debris-slide-prone landforms, which delineates areas similar to "inner gorge" and "headwall swale" using experience-based rules. These approaches were compared in three diverse study areas of northwestern California having multiple inventories of historical non-road-related debris slides in a variety of topographic settings. We implemented the models in a GIS using USGS 10-m digital elevation models (DEMs).

The topographic models show moderate predictive success. Slope performs comparatively well in all study areas. SHALSTAB is rarely superior. The proximity-to-stream model is competitive in one area but falls short in the others. The landforms model performs somewhat better than the others for nearly all the debris-slide data sets in all three areas, and appears especially effective for large debris slides that deliver sediment to streams.

Large landslide deposits also influence the propensity for debris sliding in some areas. The areal density of historical debris-slide sources in steep ground within large, geomorphically fresh landslide deposits can be more than twice that in steep ground outside landslide deposits. Thus, prediction of debris-slide sources can be improved using maps of geomorphically fresh large landslide deposits.

Keywords: debris slide, landslide, model, northwestern California, slope, topography

View and Print this Publication (622 KB)

Publication Notes: 

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
  • You may send email to pubrequest@fs.f ed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

Citation

Reid, Mark E.; Ellen, Stephen D.; Brien, Dianne L.; de la Fuente, Juan; Falls, James N.; Hicks, Billie G.; Johnson, Eric C.  2007.  Predicting Debris-Slide Locations in Northwestern California.   In: Standiford, Richard B.; Giusti, Gregory A.; Valachovic, Yana; Zielinski, William J.; Furniss, Michael J., technical editors. 2007. Proceedings of the redwood region forest science symposium: What does the future hold? Gen. Tech. Rep. PSW-GTR-194. Albany, CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture; p. 347-356.

US Forest Service - Research & Development
Last Modified:  February 24, 2009


USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.