Physical Sciences and Mathematics Commons^™

Modeling Surface Roughness As An Indicator Of Age And Landslide Susceptibility, And The Spatial Inventory Of Prehistoric Landslides: Green River Valley, Washington, Rebecca Naomi Garriss

Dissertations and Theses

Developing detailed landslide inventory maps of prehistoric landslides is essential to interpret the frequency and conditions under which slopes have failed. When coupled with age estimates, landslide inventories can yield better predictions for future slope failures, thereby improving hazard assessments and increasing chances for mitigation. Developing proxies for landslide age is an important area of research, but age dating prehistoric landslides can be challenging due to sparse datable organic material within landslide deposits, and to time or access constraints. In this thesis, surface roughness of the landslide deposit is used to construct a best-fit age-roughness model that quantitatively assigns age …