Graduate Thesis Or Dissertation
 

Improving Region-Scale Landslide Inventory and Susceptibility Mapping

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/8336h759b

Descriptions

Attribute NameValues
Creator
Abstract
  • Landslides are a natural hazard that have major societal, economic, and environmental impacts. The understanding of landslides begins with the observation that they are a spatial problem. Spatial relationships have historically been explored with maps, and landslides are no different. Such maps range in focus from inventory maps, which identify where landslides have occurred, to susceptibility maps, which identify where landslides might occur. The current state of landslide inventory mapping consists of trained geologists scouring the terrain, either on the ground or using remotely sensed imagery or Light Detection and Ranging (lidar). Lidar is particularly advantageous due to its high resolution and ability to reveal geomorphologic features in vegetated areas. Inventories produced in these ways are typically of very high quality, but time consuming to produce. Susceptibility maps often relate landslide causative factors determined using an inventory map to provide categorical descriptions or probabilities of landslide likelihood. Among all susceptibility maps there is a shortcoming in the treatment of the mechanical properties of landslides. Mechanical properties, such as soil unit weight, pore water pressures, rupture surface geometry, and shear strength, are fundamental to detailed landslide studies of individual landslides, but are either omitted or overly simplified in susceptibility analysis. To improve the processes of landslide mapping so that their products may be used to better understand and predict landslide activity, we improved the capability of an existing semi-automated method for producing landslide inventories with a new approach that can be implemented rapidly across diverse terrain. We then sought to improve susceptibility mapping by modeling three-dimensional geometry of landslide rupture surfaces across entire inventories. Finally, we performed forensic analyses using the rupture surface geometry to reliably characterize soil strength at a regional scale. Our results present a preliminary, time- and cost-efficient framework for investigating landslides on a regional scale and represent the first true synthesis of geomorphologic and geotechnical principles.
License
Resource Type
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Rights Statement
Publisher
Peer Reviewed
Language
Embargo reason
  • Ongoing Research
Embargo date range
  • 2019-07-11 to 2021-08-12

Relationships

Parents:

This work has no parents.

In Collection:

Items