Skip to main content
Duke University Libraries
DukeSpace Scholarship by Duke Authors
  • Login
  • Ask
  • Menu
  • Login
  • Ask a Librarian
  • Search & Find
  • Using the Library
  • Research Support
  • Course Support
  • Libraries
  • About
View Item 
  •   DukeSpace
  • Theses and Dissertations
  • Masters Theses
  • View Item
  •   DukeSpace
  • Theses and Dissertations
  • Masters Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Exploring Links between Climate and Orogeny by Estimating Uplift with a Physical-Statistical Model

Thumbnail
View / Download
8.8 Mb
Date
2013
Author
Lowman, Lauren Elizabeth Lee
Advisor
Barros, Ana P
Repository Usage Stats
285
views
140
downloads
Abstract

The Andes Mountains provide a unique setting to study the interplay between climate and geomorphology. The mechanism proposed to describe the evolution of Andean topography is a feedback loop where precipitation erodes the surface, causing the earth's crust to thin and, through buoyancy, uplift the surface. The uplifted surface acts as a barrier which in turn increases precipitation and reinforces the feedback. Demonstrating this feedback is difficult due to the long temporal scales involved. To overcome this challenge, we consider current topographic constraints and climate regimes as a means to evaluate geomorphologic behavior. Initial data analysis leads to the identification of qualitative similarities in the distributions of outlets and precipitation events by elevation, which suggest a link between climatic and fluvial erosion and a strong interaction between orography and precipitation. To explore impacts of this link on regional geomorphology, we estimate uplift rates under a Bayesian hierarchical modeling framework based on the stream power erosion law (SPEL). We specify model parameters using slope and area data generated from a high-resolution, digital elevation map and mean annual precipitation (MAP) derived from 14 years of TRMM 3B42 v.7 precipitation rainfall rates, supplemented with rain gauge data from the Kospinata network in Peru. A key component of the analysis is the development of a natural spatial scale which captures the qualitative similarities observed in the region and provides a means to compare estimated uplift rates to the geomorphologic behavior of each basin. The estimated uplift values recovered from the analysis range from 0.81 to 11.59 mm/yr and thus fall within a physically-reasonable range for the central Andes region. These estimates also are in strong agreement with basin hypsometry. The analysis further reveals a pattern of spatially dependent uplift, which is consistent with the differential tectonic forcing imposed on the basins by the subducting Nazca plate. The adaptation of the physical-statistical model represents a novel method for quantifying the relationship between climate and orography and estimating key parameters of SPEL.

Type
Master's thesis
Department
Civil and Environmental Engineering
Subject
Environmental engineering
Geomorphology
Andes
Bayesian hierarchical model
hydrogeomorphology
hypsometry
orogeny
uplift
Permalink
https://hdl.handle.net/10161/8095
Citation
Lowman, Lauren Elizabeth Lee (2013). Exploring Links between Climate and Orogeny by Estimating Uplift with a Physical-Statistical Model. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/8095.
Collections
  • Masters Theses
More Info
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.

Rights for Collection: Masters Theses


Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info

Make Your Work Available Here

How to Deposit

Browse

All of DukeSpaceCommunities & CollectionsAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit DateThis CollectionAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit Date

My Account

LoginRegister

Statistics

View Usage Statistics
Duke University Libraries

Contact Us

411 Chapel Drive
Durham, NC 27708
(919) 660-5870
Perkins Library Service Desk

Digital Repositories at Duke

  • Report a problem with the repositories
  • About digital repositories at Duke
  • Accessibility Policy
  • Deaccession and DMCA Takedown Policy

TwitterFacebookYouTubeFlickrInstagramBlogs

Sign Up for Our Newsletter
  • Re-use & Attribution / Privacy
  • Harmful Language Statement
  • Support the Libraries
Duke University