Integrating Sub-Centimeter Resolution Photogrammetry with a Surface Roughness Correction Factor Applied to PI-SWERL Measurements
type: CreativeWork
description: This thesis consists of two chapters that summarize the development and application of a new technique used to quantify surface roughness for dust emission measurements. Chapter 1 begins with a literature review that documents the significance of research pertaining to dust emission. It then presents a summary of the development of the Portable In-situ Wind Erosion Laboratory (i.e., PI-SWERL) along with existing limitations for adjusting dust emission measurements for microtopographic surface roughness. A new method for characterizing the surface roughness correction factor, alpha (α), is introduced to address these limitations. This thesis describes the development of new reference material to assign α and is presented as a new lookup table that relates landform class and surface characteristics. The second chapter presents and discusses results from a case study application of the new approach from Chapter 1. Surface roughness correction factors were computed for landforms within White Sands National Park to study the effects of surface roughness determinations using the new semi-quantitative lookup table approach on resulting dust emission estimates. These results were compared with published literature values using older methodology. As such, the results from Chapter 2 were evaluated to assess the overall uncertainties involved with current techniques. Resulting dust flux measurements from the original dataset were compared with an adjusted version of that dataset, and a statistical analysis was conducted. The statistical analysis indicated that, of each landform evaluated, surface roughness was overestimated only for the sand sheets. As a result, dust flux was significantly underestimated in the previous study compared with this study. This thesis then examines how the recalculated fluxes project into annual dust flux budges, with estimates of annual average fluxes for sand sheets at White Sands increasing from ~277 tons/km2/year to ~329 tons/km2/year based sol…
abstract: This thesis consists of two chapters that summarize the development and application of a new technique used to quantify surface roughness for dust emission measurements. Chapter 1 begins with a literature review that documents the significance of research pertaining to dust emission. It then presents a summary of the development of the Portable In-situ Wind Erosion Laboratory (i.e., PI-SWERL) along with existing limitations for adjusting dust emission measurements for microtopographic surface roughness. A new method for characterizing the surface roughness correction factor, alpha (α), is introduced to address these limitations. This thesis describes the development of new reference material to assign α and is presented as a new lookup table that relates landform class and surface characteristics. The second chapter presents and discusses results from a case study application of the new approach from Chapter 1. Surface roughness correction factors were computed for landforms within White Sands National Park to study the effects of surface roughness determinations using the new semi-quantitative lookup table approach on resulting dust emission estimates. These results were compared with published literature values using older methodology. As such, the results from Chapter 2 were evaluated to assess the overall uncertainties involved with current techniques. Resulting dust flux measurements from the original dataset were compared with an adjusted version of that dataset, and a statistical analysis was conducted. The statistical analysis indicated that, of each landform evaluated, surface roughness was overestimated only for the sand sheets. As a result, dust flux was significantly underestimated in the previous study compared with this study. This thesis then examines how the recalculated fluxes project into annual dust flux budges, with estimates of annual average fluxes for sand sheets at White Sands increasing from ~277 tons/km2/year to ~329 tons/km2/year based sol…
author: Hartshorn, Evan James
keywords: Dust, Photogrammetry, PI-SWERL, Roughness, White Sands, wind tunnel
date published: 2023
date modified: 2026-07-27T21:47:03Z
provider: University of Nevada - Reno
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Nevada - Reno

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11714/10845