Graduate Thesis Or Dissertation
 

Modeling slope stability uncertainty : a case study at the Andrews Experimental Forest

Public Deposited

Contenu téléchargeable

Télécharger le fichier PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/9306t343w

Descriptions

Attribute NameValues
Creator
Abstract
  • A simple debris-slide model, employing a digital elevation model (DEM) and geological data, was used in a geographic information system (GIS) to map slope stability in the Andrews Experimental Forest, located in the western Cascade Range in Oregon, USA. To evaluate the contribution of error in elevation to the uncertainty of the model output, several different, but equally probable, perturbed versions of the input DEM were created by adding random, spatially autocorrelated error files. These perturbed DEMs were then processed to produce a family of slope-stability maps from which the effects of elevation error upon debris-slide potential could be assessed. The DEM error had a significant effect on the DEM-derived slopes and subsequent classification of debris-slide potential. These effects were attributed to the manner in which the debris-slide model is derived and the slope algorithm used in the GIS. The maximum magnitude of elevation error (+1/-7m) added to the DEM was small relative to variation in the height of tree canopies (0-70m) across the landscape (which can influence resolution of photogrammatrically-based interpretations of topography). The ability to assess this uncertainty has the potential to to increase understanding of inherent strengths and weaknesses of applying digital data and spatial information systems to this application, and to facilitate improved natural resource management decisions in relation to timber harvesting and slope stability problems.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Déclaration de droits
Publisher
Peer Reviewed
Language
Digitization Specifications
  • PDF derivative scanned at 300 ppi (256 B&W, 256 Grayscale), using Capture Perfect 3.0.82, on a Canon DR-9080C. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces

Des relations

Parents:

This work has no parents.

Dans Collection:

Articles

La vignette Titre Date de téléchargement Visibilité actes
file details MurilloMichelleL2000.pdf 2017-10-20 Public Télécharger