Digital Commons Network^™

Using A Social-Ecological-Technological Systems Approach For Assessing Vulnerabilities Downstream Of Dams, Michael J. Englert

All Graduate Reports and Creative Projects, Fall 2023 to Present

Dam failure is rare, but when it occurs the consequences can extend far beyond the structure of the dam itself. This project assessed vulnerabilities downstream of Utah’s 189 state-regulated, high-hazard dams using a Social-Ecological-Technological Systems (SETS) approach. The purpose of the project was to look beyond engineering and structural risk alone and identify the people, protected ecosystems, critical infrastructure, and land cover types located within mapped dam inundation zones.

Potential inundation zone maps were obtained from the Utah Division of Water Rights Dam Safety Section. They were processed using ArcGIS Pro and integrated with publicly available nationwide geospatial datasets to …

The Legend Of The Bear Lake Monster, Melissa Anderson Asay

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Bear Lake Monster is a legend that has persisted for centuries. This monster is rooted in Shoshone oral traditions and hold the potential to be based off of fossils found in the Shoshone territory. This living legend was later amplified by Mormon settlers. One settler in particular, Joseph C. Rich, played a significant role in shaping its narrative. Though he eventually admitted to fabricating sightings to encourage settlement, belief in the creature remains alive today. The serpent’s presence in local lore has undeniably influenced the Bear Lake region, shaping both its identity and tourism industry. This legend serves as …

The Development Of A Plant Database For Waterwise Plants Along The Intermountain West, Tyler G. Peterson

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis presents the rationale behind the importance of accurate 3D plant models. The research conducted provides logical explanations for why we should accurately represent plants in our 3D models, not only as landscape architects but as designers in general. In addition to this research, a database of waterwise plants was produced to provide designers with a resource to better represent landscapes. During the creation of this database, detailed process records were maintained to enable others to continue to add to and build on the work done within this thesis. It is hoped that this database, begun in this thesis, …

Water Use And Yield Of Subsurface Drip-Irrigated Forage Crops In Northern Utah, Nishchal Tamang

All Graduate Reports and Creative Projects, Fall 2023 to Present

Growing water scarcity in the Intermountain West has increased interest in improving water use efficiency. Subsurface drip irrigation (SDI) has the potential to reduce evapotranspiration (ET), evaporative losses, surface runoff, and deep percolation. SDI adoption in Utah forage crops is limited, and region-specific information on forage crop water use under SDI is lacking. This study compared ET, yield, and productivity of forage crops between SDI and conventional irrigation methods in northern Utah.

The study was conducted on production fields. Applied irrigation, precipitation, and crop yield were directly measured, while deep percolation was estimated using numerical unsaturated flow modeling. Surface runoff …

Accelerating Rans Cfd Convergence For Bluff Body Flows Using Surface-Vorticity Panel Solver Initialization, Trisha Babu

All Graduate Reports and Creative Projects, Fall 2023 to Present

Reynolds-Averaged Navier--Stokes (RANS) simulations are widely used for predicting aerodynamic performance in engineering applications but often require substantial computational time to achieve convergence, particularly for bluff-body flows characterized by large-scale separation and wake formation. Improving the initialization of CFD simulations offers a practical approach for reducing computational cost without modifying the underlying numerical algorithms. This study investigates the use of a surface-vorticity panel solver (FlightStream) to generate physically informed velocity fields for initializing steady RANS simulations in STAR-CCM+.

Two canonical bluff-body geometries are considered: a sphere at a Reynolds number of 5 X 10⁵ and an isolated cube at …

Graph-Based Machine Learning For Multivariate Time Series Prediction In Scientific Domains: Streamflow Forecasting And Solar Flare Prediction, Kishore Ragul Alagarsamy

All Graduate Reports and Creative Projects, Fall 2023 to Present

Machine learning methods applied to multivariate time series data have emerged as powerful tools across a range of scientific domains. This report examines two distinct application areas in which such methods yield actionable predictive insights: hydrological streamflow forecasting and solar flare prediction in space weather.

In the domain of streamflow forecasting, a Two-Graph Spatio-Temporal Graph Neural Network (Two-Graph STGNN) was developed to predict river discharge across a 20-station network in the Upper Colorado River Basin. The architecture separates hydrological and meteorological feature streams into two complementary graph representations and fuses them through a learned attention mechanism. Systematic evaluation across 23 …

Isolation, Identification, And Enzymatic Screening Of Fungi From Utah Dryland Soils For Industrial And Waste Valorization Applications, Jessica Lorena Silva Cuero

All Graduate Reports and Creative Projects, Fall 2023 to Present

Agricultural waste accumulation presents environmental challenges but also opportunities for biological valorization into value-added products. Fungi are particularly well-suited for this purpose due to their capacity to produce extracellular enzymes involved in the degradation of complex organic substrates. Dryland ecosystems represent a promising source for bioprospecting microbes capable of producing such enzymes. Drylands harbor a high diversity of extremophilic microorganisms that can withstand harsh conditions, extreme heat, UV, and low nutrients using unique adaptations. This suggests that these microbes are resilient and capable of surviving under varying conditions and still produce enzymes for biotransformation. The objective of this study was …

A Design Guide For Extreme Heat In Play Environments: Exploring Landscape Architecture Strategies, Amy Elise Guenther

All Graduate Reports and Creative Projects, Fall 2023 to Present

Urban heat is a rising concern and is affecting vulnerable populations such as our youth. A particular concern is exposure to extremely high temperatures on playgrounds – an environment that is meant to be safe for children even in extreme weather conditions. There has been an increase in many impervious surfaces such as concrete and asphalt in urban areas. These surfaces absorb solar radiation, which contributes to the heat island effect. These same surfaces are in and around playground areas, which are contributing to the extreme heat felt within these play environments. Therefore, requiring intervention to help mitigate the effects …

Reintegrating Contaminated Sites Into The Urban Fabric: Redevelopment In Pocatello, Idaho, Hadley Ocheltree

All Graduate Reports and Creative Projects, Fall 2023 to Present

Brownfield sites represent some of the most environmentally compromised landscapes in the United States and are frequently concentrated within economically disadvantaged communities, raising important environmental justice concerns. Redeveloping these sites requires integrated approaches that address contamination, urban form, ecological restoration, and long term community needs. This thesis examines the 143 acre former Union Pacific Railroad site in Pocatello, Idaho and proposes a comprehensive redevelopment framework that reconnects a historically significant industrial landscape to the surrounding city.

The project draws from an analysis of eight precedent brownfield redevelopment projects and applies key planning and landscape architecture principles, including New Urbanism, pedestrian …

Sensitivity Analysis Of A Low-Power Wireless Capacitive Charging System To Inform Thermal Limitations And Battery Size Reduction Potential For Electric Passenger Vehicles, Karmen Teuscher

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of using electric vehicles instead of internal combustion engine vehicles that burn gas is to reduce pollutants in the air and potential environmental impacts such as climate change. EVs produce much less air pollutants than ICEVs but manufacturing the EV batteries and the repeated recharging still contributes to the overall air pollution.

Capacitive power transfer systems can wirelessly charge vehicles through the road as they drive along highways or stop at traffic lights. If vehicles charge as they drive, an opportunity opens to reduce the size of the battery while maintaining the same driving range. Reducing the size …

Understanding The Impact Of Environmental Change On Shorebird Abundance And Distribution Across The Intermountain West Over The Past 30 Years, Sharon Montecino

All Graduate Theses and Dissertations, Fall 2023 to Present

Shorebirds have declined worldwide over the past century, mainly due to wetland loss and degradation. Wetlands are sites that are temporarily or permanently flooded and provide critical habitat for shorebirds, especially in arid and semi-arid regions such as the Intermountain West. However, climate change and human water use threaten these wetlands, and how these threats may affect shorebirds in this region remains poorly understood. In the early 1990s, shorebird counts at over 160 wetlands across the Intermountain West provided a broad assessment of shorebird populations in the region. These counts remained the only large-scale surveys until 2022, when the Intermountain …

Bridging The Gap: Exploring The Development Of Science Self-Efficacy Among Students With Learning Disabilities, Aria Hadley-Hulet

All Graduate Theses and Dissertations, Fall 2023 to Present

Students with learning disabilities are often overlooked in efforts to broaden participation in STEM. This multi-paper dissertation investigates science self-efficacy among this population through the lenses of the social model of disability and self-efficacy theory. An integrative review reveals consistently lower academic self-efficacy among students with learning disabilities and a lack of research examining their science self-efficacy specifically. Quantitative analysis of national data shows lower science self-efficacy overall, yet no differences among students enrolled in advanced science courses. A mixed-methods study further demonstrates that in inclusive school environments characterized by asset-based teacher beliefs and normalized accommodations, science self-efficacy differences disappear. …

Comparison Of Forces Generated By An Impinging Water Jet Using Numerical And Physical Experimentation, Spencer R. Young

All Graduate Theses and Dissertations, Fall 2023 to Present

When water is released from hydraulic structures such as dams water jets are formed and land on the downstream surfaces. When these jets land there is high potential for erosion or scour. Scour has the potential to compromise the structure and cause the uncontrolled release of water that can endanger downstream communities and infrastructure.

Engineers use tools including computational fluid dynamics (CFD) to inform their designs to mitigate the risk of scour. This study compares how well CFD is able to model the forces created by a water jet by comparing the results to laboratory collected physical data. To make …

Examining Ai Use Strategies Among Engineering Students: An Exploratory Quantitative Study, Jenny Lee Blonquist

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence tools like ChatGPT have quickly become part of everyday life for many people, including engineering students. This has raised concerns about the effects of students relying or over-relying on AI to help with their coursework. Are they still building the problem-solving and reasoning skills they will need as engineers? The purpose of this study is to understand not just whether engineering students use AI, but how they use it.

This research focused on two different ways students can use AI tools. 'Understanding-seeking' is when a student uses AI as a learning support such as asking thoughtful questions to …

Dbssnet: Dual-Branch Spectral-Spatial Network With Data-Driven And Knowledge-Guided Band Selection For Uav Hyperspectral Wheat Rust Detection, Subin Kim

All Graduate Theses and Dissertations, Fall 2023 to Present

Wheat rust is a serious plant disease that can reduce crop yield and quality. In practice, the disease is often noticed only after visible symptoms appear, when some damage may already be difficult to reverse. This thesis studies whether drone-based imaging can help detect wheat rust earlier and more reliably in field environments. 

Unlike an ordinary color photograph, a hyperspectral image records reflected light at many narrow wavelengths. These measurements can reveal useful information about plant condition, but they are also high dimensional, noisy, and difficult to analyze when only a limited number of labeled field samples are available. To …

Viability Assessment Of Bovine Embryos: A Public Dataset And Deep Learning Baselines, Erfan Khayyati

All Graduate Theses and Dissertations, Fall 2023 to Present

Improving the success rates of cattle breeding is essential for sustainable agriculture, global food security, and high-quality livestock production. Currently, determining whether a lab-grown bovine embryo is healthy enough for a successful pregnancy requires highly trained experts to manually evaluate days of continuous time-lapse video footage. This process is not only incredibly time-consuming but also highly subjective; human reviewers often suffer from visual fatigue when tracking subtle, microscopic cellular changes over a seven-day period, leading to significant disagreement among even top experts on an embryo’s true potential. Furthermore, assessing bovine embryos is notoriously difficult due to their dark, lipid-dense cellular …

Secure Agricultural Futures: Re-Defining And -Imagining Agricultural Water Landscapes In The Us West, Britta L. Schumacher

All Graduate Theses and Dissertations, Fall 2023 to Present

Aridity is swiftly becoming the US West’s new normal. As agricultural communities adjust to persistent growing-season scarcity, they find their livelihoods under increasing threat. This points to the urgency of finding paths toward more secure water futures. A piece of this future puzzle includes water (re-)distribution – taking excess from one place and delivering it to another in need. To begin thinking about (re-)distribution, this dissertation engages with three mixed-methods and multiscale studies. The first study pairs county-level data across the 11 westernmost US states with survey data collected from individual producers in Utah to assess past and current trends …

A Multi-Label Computer Vision-Based Approach For Condition Assessment Of Traffic Signs: Database Compilation, Model Training, And Evaluation, Shailaja Ratna Pandey

All Graduate Theses and Dissertations, Fall 2023 to Present

Traffic signs help drivers and pedestrians to understand roadway rules, warnings, and directions, which determine how road users should behave. When signs fade or delaminate, they become harder to read and interpret, which creates increased safety hazards. Transportation agencies usually deploy engineers to the field to inspect signs because they need to evaluate and document the sign’s condition based on established standards and engineering judgment. This process requires substantial time and cost and becomes challenging to apply across large highway networks.

This study evaluated two computer vision (CV) models for automated traffic sign condition assessment using highway images collected across …

From Evidence To Impact: Supporting Sensemaking And Instructional Revision In Stem Classrooms, Bonni Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Science and math literacy is crucial for informed citizenship and economic competitiveness, yet many students leave school without developing the critical thinking skills needed to understand and solve complex issues or pursue STEM careers. This disconnect often stems from traditional teaching methods that emphasize memorization and following steps over authentic reasoning and problem solving. This dissertation addresses this challenge by identifying how teachers in research studies have taught STEM in ways that develop students' ability to think, reason, and problem-solve like real scientists.

By analyzing research on instruction that incorporates modeling, inquiry, and sensemaking, and working directly with teachers, this …

Causal Discovery In Photospheric Magnetic Field Time Series For Interpretable Solar Flare Prediction, Nathan W. Nelson

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are capable of damaging many valuable resources, including satellites, power grids, and even human lives. Being able to predict solar flares can allow for proactive measures to be taken that can prevent that damage. Many new deep learning methods for predicting solar flares have shown promise in this task, but the decisions they make are harder to explain to humans. This makes understanding why these models make mistakes difficult, which in turn makes fixing and maintaining them more challenging. We test a recent deep learning method that helps discover relationships between different measurements of the Sun as they …

Affective And Cognitive Factors Contributing To Male-Female Differences In Mathematics, Sarah N. Herod

All Graduate Theses and Dissertations, Fall 2023 to Present

Math differences between men and women have been studied for several decades, with original theories suggesting a biological reason for the differences and more new ones suggesting multiple factors, such as self-efficacy, anxiety, and spatial ability, may be responsible for these apparent differences. Additionally, most research into math differences between the sexes involves the use of a composite score, rather than examining the different sub-domains of math separately. The purpose of the current study was to examine the relationship between sex and math performance within the context of an individual's belief and attitudes towards math and spatial information. Seventy-one participants …

Spatial Prediction Under Uncertainty: Methodological And Computational Advances In Bayesian Maximum Entropy, Kinspride K. Duah

All Graduate Theses and Dissertations, Fall 2023 to Present

Environmental decisions such as infrastructure design, water management, and snow load estimation depend on spatial data that are often incomplete or uncertain. In many cases, measurements are not exact values but ranges, reflecting limitations in data collection methods. Traditional mapping techniques typically simplify these uncertain measurements, which can lead to less accurate predictions. This dissertation introduces improved statistical tools for making spatial predictions when data are uncertain or partially known. By utilizing a framework called Bayesian Maximum Entropy (BME), this research demonstrates how exact measurements and range-based data can be combined in a mathematically consistent way. The work demonstrates that …

High-Throughput Characterization Of Creep In Additively Manufactured 316l Stainless Steel, Raushan Kumar Singh

All Graduate Theses and Dissertations, Fall 2023 to Present

Advanced materials are widely used in industries such as nuclear energy, aerospace, and automotive engineering, where components are exposed to extreme temperatures and stresses over long periods of time. As new materials continue to emerge, researchers need efficient ways to evaluate their mechanical performance so they can be used safely and effectively. Among several mechanical challenges, creep is a major concern in these conditions. Creep is a type of mechanical failure in which materials gradually deform when exposed to high temperatures and constant load. Conventional methods for evaluating creep typically involve testing a single specimen at a time, which can …

Faculty Perspectives On Career And Technical Education Programming For Prison And Other At-Risk Populations: Implications Of A Human Centered Design Focus, Taija R. Jackson

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this quantitative, cross-sectional, quasi-experimental study was to examine the perceptions of career and technical education (CTE) faculty regarding their familiarity with human-centered design (HCD), perceptions of the value and worth as a framework for program and curriculum design and willingness to teach in correctional education settings. The survey was administered to postsecondary CTE employed at public community and technical colleges in Utah and Colorado (N = 37). Participants were randomly assigned to either a treatment condition, in which they viewed a six-minute-long video vignette illustrating HCD in practice, or a control condition without exposure to the …

Thermal Rating And Prediction Of Roadway-Embedded Power Electronics For Dynamic Wireless Power Transfer, Forrest D. Nichols

All Graduate Theses and Dissertations, Fall 2023 to Present

Electric vehicles can be charged while driving through wireless charging coils buried in the road surface. To avoid running expensive cables from roadside equipment to each charging pad, the electronics that control the power transfer can also be buried in the road. However, burying these circuit boards removes the ability to cool them with fans or flowing air, so the heat generated during operation must escape naturally into the surrounding road material. If the boards get too hot, components fail—a problem that has already been observed in prototype systems.

Predicting how hot each component on a circuit board will get …

Cadmium Biosorption By Fusarium Venenatum And Its Application In Functional Permeable Materials For Metal Removal, Bradley Lawson

All Graduate Theses and Dissertations, Fall 2023 to Present

Heavy metals are pollutants of increasing concern as continued industrialization and urbanization have escalated the discharge of these toxins into aquatic environments. Cadmium (Cd) is a metal of particular concern due to its acute toxicity and high mobility in aquatic ecosystems. Given these characteristics Cd poses significant health risks to both humans and aquatic ecosystems. The continued development of sustainable, low-cost remediation technology is imperative to manage metal pollution.

This research explores the use of fungal-based remediation systems to remove Cd from contaminated water. Living biomass of the filamentous fungus Fusarium venenatum was evaluated as a biosorbent material for Cd …

Agronomic And Economic Evaluation Of Alternative Forage Crops Under Irrigation Technologies And Deficit Irrigation, Shikha Sharma

All Graduate Theses and Dissertations, Fall 2023 to Present

Water is becoming more limited in the western United States, including Utah, so farmers need forage crops that can produce well while using less irrigation water. This study examined how different forage crops respond to reduced irrigation and different irrigation application methods, and whether some crops can provide better economic returns under limited water conditions.

Field studies were conducted at three Utah locations, Cedar City, Logan, and Vernal, from 2020 to 2024. The alternative forage crops included teff, sorghum-sudangrass (sudex), and forage rye. For economic comparison, conventional forage crops included alfalfa, corn, and three-way small grains. Four to five irrigation …

Modular Verification For Network-On-Chip Designs Using Probabilistic Verification And Assume-Guarantee Reasoning, Nicholas Waddoups

All Graduate Theses and Dissertations, Fall 2023 to Present

To satisfy increasing demands for computer chip performance in personal computing, mobile devices, and commercial server computing, a modern computer chip is constructed with tens (or hundreds) of small individual computing modules. Each of these modules must communicate with one other to share information about the running state of a computer. Historically, when chips were a few modules a simple communication method sufficied. However, as the number of modules in a chip grew, a more effecient method was needed in order to maintain performance across the system as a whole. A Network-on-Chip (NoC) design is the de-facto communication method for …

Theory, Implementation, And Practical Applications Of A Modern Parabolized Navier-Stokes Code, Logan B. Freeman

All Graduate Theses and Dissertations, Fall 2023 to Present

The Parabolized Navier-Stokes (PNS) method is a specialized computational approach for solving the equations that govern fluid flowing faster than the speed of sound, known as supersonic flow. By leveraging unique physical properties of supersonic environments—specifically that information cannot travel upstream—this method allows for significantly more efficient calculations than traditional approaches. Supersonic flows are important for many military and civilian applications including hypersonic weapons, high-speed passenger aircraft, and reentry. This thesis provides a comprehensive review of the two-dimensional PNS formulation, detailing the mathematical derivation and its practical implementation for solving flow problems. Through performance analysis and error assessment, this research …

Simulation Of Hypersonic Conditions In A Lab-Scale Environment Using A Hybrid Rocket With Nitrogen Cooling, Joshua R. Sorenson

All Graduate Theses and Dissertations, Fall 2023 to Present

Developing hypersonic vehicles requires testing under extreme heat, airflow, and pressure. Traditional facilities like shock tunnels and arc-heated wind tunnels are costly and slow to set up. This thesis proposes a simpler, low-cost method using a small-scale hybrid rocket motor as a gas generator. The rocket’s hot exhaust is directed onto the front edge of a scaled-down model that represents the nose of a hypersonic vehicle. This creates a realistic flow that matches both the intense heat energy and the pushing force experienced in high-altitude hypersonic flight. The setup allows easy measurement of motor performance, surface pressures, leading-edge temperatures, and …