Digital Commons Network^™

Groundwater Storage Dynamics In Abu Dhabi Emirate Using In-Situ And Grace Data, Tala Jalal Maksoud

Theses

Water scarcity presents a significant challenge to the sustainable development; especially in arid regions like Abu Dhabi Emirate. Addressing concerns over nonrenewable aquifer depletion, caused by agricultural expansion and lifestyle advancements, has, therefore, become crucial in such regions. This thesis investigates Groundwater Storage (GWS) dynamics in Abu Dhabi Emirate by integrating satellite data from the Gravity Recovery and Climate Experiment (GRACE) with in-situ data from 257 wells over two decades (2002-2022), employing GIS and RS technologies. The main aim of this study is to provide a comprehensive approach to evaluate GWS dynamics considering multiple perspectives including: dealing with missing datasets, …

Urban-Rural Dynamics And Dui Fatalities In The Inland Empire: A Neural Network Analysis Of Traffic Safety Disparities, Armando Ceja-Lua

Electronic Theses, Projects, and Dissertations

This study examines the disproportionately high traffic fatality rates in California's Inland Empire region through neural network analysis of over 500,000 accidents (2013-2022). We argue that the Inland Empire's unique hybrid urban-rural landscape creates a multiplicative risk environment unlike other California regions. Our analysis reveals that San Bernardino County's fatality rate (1.920 per 100 million VMT) significantly exceeds neighboring regions, with alcohol-impaired driving fatalities (0.586) substantially higher than California's average (0.390). Neural network models (92% validation accuracy) identify pedestrian-involved collisions (correlation value 0.164) and alcohol involvement (0.075) as the strongest predictors of fatality in urban areas, while rural crash patterns …

Towards Advancing Streamflow And Peak Flow Prediction With Machine Learning: Identifying Infrastructure At Risk, Sudan Pokharel

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Due to climate change and its impact, the need for adaptive strategies for natural disaster mitigation and resource management has never been more urgent. Central to this is water resource management, which is essential for sustainable human activities, ecological balance, and the mitigation of natural hazards like floods. Streamflow is a crucial element of water resource management and plays a vital role in planning and building water infrastructure, implementing emergency response plans, supporting flood mitigation initiatives, and regulating agricultural and industrial use. However, accurate prediction of streamflow still remains a challenge due to the complex non-linear and non-stationary interaction between …

Integrating Blockchain Technology Into Telemedicine: A Framework For Enhancing Data Privacy And Security, Harsha Sammangi, Aditya Jagatha, Jun Liu

Research & Publications

This paper presents a blockchain-based framework designed to enhance data privacy, integrity, and security in telemedicine systems. The proposed architecture employs distributed ledger technology to ensure transparency, traceability, and immutability of patient data exchanges among healthcare providers. Smart contracts automate access permissions and auditing processes, reducing the risks of unauthorized data sharing. The study evaluates the framework’s performance in secure data handling, highlighting blockchain’s role in fostering patient trust and resilience against cyberattacks in remote healthcare environments.

Surface Urban Heat Island Effects Analysis In The Most Populated City In Thailand: Towards Sustainable Urban Development, Abdul Maulud Khairul Nizam, Muhammad Noor, Zafar Iqbal

AUIQ Technical Engineering Science

The fast and unprecedented urban growth process may violate cities' responsibilities by causing an urban heat island (UHI) and increasing the public's risk of heat-related illnesses due to vegetative area reduction and urban area inclination. The Bangkok Metropolitan Area (BMA)'s variations in Land Use Land Cover (LULC), Land Surface Temperature (LST), UHI, and several geospatial indicators, as well as the daytime and nighttime LST, are the main subjects of the study. Between 2015 and 2021, the highest Daytime LST (DLST) rose consistently from 36.77°C to 38.14°C, then slightly decreased to 37.22°C in 2023. There is a general increase in the …

Empowering Mental Support Health Through Ai Chatbot, Anish Ilapaka

ATU Scholars Symposium

The growing prevalence of mental health concerns worldwide underscores the urgent need for accessible, scalable, and supportive solutions. Artificial Intelligence (AI) has emerged as a promising tool in this domain, capable of delivering immediate and empathetic interactions to complement traditional methods of mental health care. This project introduces a conversational AI system to assist individuals experiencing mental health challenges. The proposed system is built on a LLaMA model fine-tuned with a dataset of 10,000 mental health-related dialogues; the system leverages advanced natural language processing and machine learning techniques for meaningful engagement. The core functionality of this tool lies in its …

An Approach To Model Uncertainty In Fluid Behaviour With Navier-Stokes Equations In Neutrosophic Environment, Muhammad Saeed, Attia Hameed, Neha Andaleeb Khalid, Muhammad Salman Habib

Neutrosophic Systems with Applications

The complex discipline of fluid dynamics examines the behavior of fluids and their interactions with adjacent objects. The Navier-Stokes equations are very important for explaining how fluids move, but they are not linear and often give answers that depend on the starting point and the boundaries. Modeling fluid behavior is challenging due to the inherently chaotic and unpredictable character of fluid dynamics. To deal with unknown or uncertain values in this research, we used neutrosophic logic to look at the Navier-Stokes equations in a new way. Neosophic logic permits the existence of values that are partially true and partially false; …

Validation Of Task-Based Risk Assessment (Tabra) As An Effective Risk Evaluation Tool For Manufacturing Machinery Systems, Rick Lemons

ASEM Capstones

2025 ASEM 620 Capstone Project

Two-Layer Formulation For Long-Runout Turbidity Currents: Theory And Bypass Flow Case, Hongbo Ma, Gary Parker, Matthieu Cartigny, Enrica Viparelli, S. Balachandar, Xudong Fu, Rossella Luchi

Faculty Publications

Turbidity currents, which are stratified, sediment-laden bottom flows in the ocean or lakes, can run out for hundreds or thousands of kilometres in submarine channels without losing their stratified structure. Here, we derive a layer-averaged, two-layer model for turbidity currents, specifically designed to capture long-runout. A number of previous models have captured runout of only tens of kilometres, beyond which thickening of the flows becomes excessive, and the models without a lateral overspill mechanism fail. In our framework, a lower layer containing nearly all the sediment is a faster, gravity-driven flow that propels an upper layer, where sediment concentration is …

Pajaro River Levee Remedial Design For Climate Resiliency, Anna Krebs, Karina Martin, Olivia Leonardis

Civil, Environmental and Sustainable Engineering Senior Theses

With climate change causing extreme weather events, low-income, underrepresented residents living in Pajaro, California need a more resilient flood mitigation solution because existing infrastructure– the Pajaro River Levee– has recently failed. A hydraulic analysis and overtopping analysis was performed to evaluate potential levee cross sections for a 1.7 mile stretch along the Pajaro River in California. These cross-sections were assessed based on both their material costs and ability to provide sufficient evacuation time.

Changes In The Western Flank Of The North Atlantic Subtropical High Since 1140 Ce: Extremes, Drivers, And Hydroclimatic Patterns, Joshua C. Bregy, Justin T. Maxwell, Scott M. Robeson, Grant L. Harley, Valerie Trouet

Publications

Summer circulation and moisture patterns in the Southeast United States are controlled by the position of the North Atlantic subtropical high. In a warming climate, the subtropical high is projected to strengthen and expand west, but there remains uncertainty regarding its variability and linkages to natural drivers. Here, we use a tree-ring network across the Southeast United States to reconstruct the relative intensity of the pressure gradient across the subtropical high’s western flank over the past 870 years. Variations in the flank’s position and the pressure gradient have been a major driver of the hydroclimate—including creating a Southeast-Caribbean moisture dipole—since …

Enhancing Remote Sensing Imagery Temporal Resolution Using Starfm Data Fusion Approach For Improved Land Surface Monitoring, Ahmadreza Pourghodrat

School of Computing: Dissertations, Theses, and Student Research

High-resolution remote sensing imagery plays a critical role in various domains, such as farm-level agricultural operations, environmental monitoring, and natural resource management. However, data with high spatial resolution typically have low temporal resolution, and those with high temporal resolution often lack spatial detail. For example, Landsat 8 and 9 satellites deliver high spatial resolution images with a 30-meter pixel size but suffer from low temporal resolution, with a 16-day revisit cycle. In contrast, satellites like MODIS and VIIRS provide daily images but with a much coarser spatial resolution (375 meters or more), reducing spatial details. Additionally, there is a lack …

Correlation Of Socioeconomic Characteristics And Maintenance Level Of Houses In Mass Housing Scheme In Ilorin, Nigeria, Oladimeji Samuel Bolaji, Abubakar-Kamar Tayo Aishat, Adeyemi Olabanji Lukman, Arosanyin Mofeoluwa Victor

Architecture and Planning Journal (APJ)

It is a common belief that certain behaviors are influenced by a person's social level. This claim is taken to apply to housing maintenance in any society, whether it is owned or rented. The aim of this study is to identify the socioeconomic indicators that are most predictive of the maintenance level of houses in mass housing schemes in the metropolis of Ilorin, Nigeria. Both primary and secondary data were used in this investigation. Qualitative and quantitative data through structured questionnaires administered on 1125 household heads constituting 27% of the sample frame were collected from sixteen (16) mass housing schemes …

Developing Students' Sociotechnical Thinking In The Humanities-Engineering Classroom: A Treatment Versus Control Study Using A Scenario-Based Assessment, Lori Czerwionka, Siddhant S. Joshi, Gabriel O. Rios-Rojas, Kirsten A. Davis

School of Engineering Education Faculty Publications

Background

Engineering problems are open-ended and complex, involving technical and social aspects, yet engineering education focuses on technical training and closed-ended problems. To prepare engineering students, curricula should foster sociotechnical thinking—the ability to consider the interplay of technical and social factors during problem solving. Although educational interventions in this area show promise, further insight into the benefits of interdisciplinary interventions is warranted, particularly with treatment and control group designs.

Purpose

We examine the effect of a Humanities-Informed Engineering Projects (HIEP) course on students' sociotechnical thinking development.

Method

We compared the sociotechnical thinking development of engineering students who took the HIEP …

Data-Driven Fusion Of Earth Observation And Hydrologic Data To Forecast Flood Extents At Regional To Continental Scales, Kel N. Markert

Theses and Dissertations

Accurate and timely flood inundation forecasts are crucial for mitigating the devastating impacts of floods, which affect 1.47 billion people globally and cause significant economic losses. While traditional flood forecasting methods, such as hydrologic and hydrodynamic models, have limitations in providing comprehensive and spatially explicit inundation information, recent research has focused on leveraging Earth observation data and machine learning for enhanced flood prediction. This dissertation advances the state-of-the-art in data-driven flood inundation forecasting by exploring the capabilities and scalability of the Forecasting Inundation Extents using Rotated Empirical Orthogonal Function (FIER) framework. This dissertation focuses on investigating different aspects of FIER …

Development Of Measures For Highway Criticality Assessment, Xu Zhang, Mei Chen

Kentucky Transportation Center Research Report

Existing network criticality assessments, often biased towards heavily used highways in populous areas by incorporating traffic and sociodemographic attributes, can lead to an underestimation of the vital role of rural infrastructure. Consequently, rural highways, particularly low-volume roads, often receive less consideration despite their critical role in network connectivity and local access to services and economic opportunities. To address this, we develop a criticality framework based on the egalitarian principle, which prioritizes equitable consideration of all network links regardless of traffic volume or population density, comprising two complementary measures. First, the normalized betweenness centrality quantifies a road's relative importance in efficiently …

Operational Energy Education: A Thematic Analysis Of Knowledge Area Needs And Educational Gaps, Nana Hene

Theses and Dissertations

Operational Energy (OE) education is vital for national security, military readiness, and fuel energy efficiency. This thesis analyzes the current landscape of OE education and identifies key gaps in awareness, energy knowledge, and curriculum structure. Through a reflexive thematic analysis of interviews with Subject Matter Experts (SMEs), the study underscores the necessity of integrating OE concepts into both educational and professional training programs. A framework is proposed to enhance OE education across various levels in the Air Force, aiming to cultivate a more energy-conscious and strategically prepared force. The findings highlight the critical need for targeted training, curriculum enhancements, and …

Forecasting Army Recruiting Mission Distribution, Maxwell A. Deihl

Theses and Dissertations

The Army’s recruiting landscape has changed markedly in recent years, raising questions about whether forecasting methods of Army contracts remain robust. This thesis recreates the presented models in Joshua McDonald’s 2015 thesis. It replicates and evaluates the models with updated data (2018–2023) to assess their current validity and compare them to novel alternative approaches, such as simpler regression models or neural networks. While the 2015 model remains a valuable baseline, results suggest that either refining its variables or adopting alternative methods can improve predictive accuracy and interpretability. Ultimately, the United States Army Recruiting Command has many options regarding how it …

Simulating The Impact Of Self-Sensing Materials On Aircraft Sortie Generation, Harmoni J. Blackstock

Theses and Dissertations

In conjunction with the Air Force Research Laboratory Materials Lab(AFRL-RX), this study evaluates the potential military value of the prototype material sensing composites on Unmanned Aerial Vehicle (UAV) operations in intelligence, surveillance, reconnaissance (ISR), and close air support (CAS) missions within a contested Indo-Pacific theater. Using a Simio based simulation,UAV performance was assessed under varying combat conditions, focusing on Remote Sensing, deployment strategies, initial lay-downs, and varying loss rates. Re-sults show that UAVs equipped with Remote Sensing technology significantly improved sortie generation and logistical efficiency. Scenario 17 achieved the highest sortie rate(965.5 sorties), outperforming the next-best scenario by 25 sorties. …

Island Nation Duress: Simulating Passive Peer-To-Peer Bluetooth Communication During Disaster Relief, Jason K. Medeiros

Theses and Dissertations

Pacific Islands under U.S. jurisdiction are highly vulnerable to natural disasters, yet many lack the infrastructure to effectively respond and recover. Clear communication during and after such events is critical for evacuation, hazard awareness, and first responders’ coordination. This research explores a simulation-based approach using Bluetooth communication to relay messages across Guam, assessing its efficiency through statistical analysis. By examining regional differences and geographic impacts on Bluetooth messaging, the study aims to identify key factors that enhance peer-to-peer communication for timely and effective disaster response.

Discovering Design Requirements For Next Generation Arctic Tension Fabric Shelters, Mark W. Mcveigh

Theses and Dissertations

Military operations to remote Arctic regions require large-span temporary shelters to house tactical aircraft and provide heated maintained spaces. However, the current System-50 Large Area Maintenance Shelters used by the United States Air Force and Department of Defense are inadequate for Arctic deployments. These shelters lack durability against extreme subzero temperatures, heavy snow accumulation, and high wind speeds. They also fail to address critical Arctic-specific design challenges including permafrost protection, foundation disruption caused by frost heaves, and efficient heating as a result of their inadequate thermal resistance properties. This research analyzed 20 years of climatological data from 8,399 weather observation …

Deformation Characteristics And Influential Factors Of The Surface Uplift Of Closed Mines, Luo Jin, Li Yingming, Guo Qingbiao, Zhao Guangming

Coal Geology & Exploration

Objective The residual surface deformations of closed mines exhibit prolonged duration and complex evolutionary processes, potentially leading to unconventional phenomena like surface uplift, which affects the re-exploitation and reutilization of closed mines. Methods This investigated a mining area in Huainan, Anhui Province as an example to explore the deformation mechanisms, characteristics, and influential factors of the surface uplift of closed mines. Through numerical simulations, this study analyzed the propagation process of surface uplift with an increase in the groundwater level. Accordingly, this study investigated the quantitative impacts of the mining height, groundwater level, and rock strength of the caving zone …

The Effects Of Transportation Distribution On The Performance Of Insulated Thermal Containers, Edmund B. Tang

Journal of Applied Packaging Research

This research examines the effect of simulated transportation distribution testing on insulated thermal containers, also known as cold chain shippers. This study compares the thermal performance of an insulated thermal container in its ideal pristine condition with no external factors that challenge the integrity of the package to insulated thermal containers that are subjected to common and acceptable test inputs using established and accepted industry package performance and simulation standards. Currently, little research evaluates the thermal performance of insulated thermal containers after simulated distribution testing. A total of nine different real-world scenarios using test standards of varying severities or other …

Toward Quantifying Interpolation Uncertainty In Set-Line Spacing Hydrographic Surveys, Elias Adediran, Christos Kastrisios, Kim Lowell, Glen Rice, Qi Zhang

Faculty Publications

The oceans remain one of Earth’s last great unknowns, with about 74% still unmapped to modern standards. Consequently, interpolation is employed to create seamless digital bathymetric models (DBMs) from incomplete hydrographic datasets, but this introduces unquantified depth uncertainties. This study aims to estimate and characterize uncertainties arising from set-line spacing hydrographic surveys, which are important for nautical charting, navigational safety, and many other applications. By sampling at different line spacings four complete coverage testbeds that vary in slope and roughness, the study interpolates across entire testbed areas using Spline, Inverse Distance Weighting, and Linear interpolation. The resulting interpolation uncertainties are …

How Electricity Utility Practitioners In The United States Approach Power System Resilience, Shardul Tiwari, Aritra Chakrabarty, Chelsea Schelly, Mostafa Sahraei-Ardakani, Gaby Ou, Jianli Chen

Michigan Tech Publications

This study explores the understanding and practice of resilience among electrical utilities in the United States, focusing on how practitioners in the utility sector conceptualize and apply resilience in their work. As electricity becomes increasingly central to modern life, powering critical infrastructure and essential services, the resilience of power systems has gained prominence in energy policy and planning. However, there is a lack of standardized definitions and approaches to resilience in both academia and practice, particularly from an energy service perspective. The research employs a qualitative approach, utilizing semi-structured interviews with experts (practitioners) from transmission and distribution utilities in the …

Treated Wastewater Reuse For Non-Direct Food Consumption Crops In Nebraska: Barriers And Benefits Of Municipal Irrigation Lagoons, Sussan Moussavi, Bruce Dvorak

Journal of Extension

Reusing treated wastewater for agricultural purposes can provide local benefits to small, rural communities. Additionally, irrigation lagoons can be an attractive wastewater treatment technology in areas with high agriculture demands and low water availability. This descriptive study used stakeholder discussions to identify barriers and benefits of irrigation lagoons. Dissemination materials were developed to help Extension professionals distribute information regarding these systems to the communities they work closely with.

A Geomatic Appraisal On Restoration Of Tank Cascade Systems In Ambuliyar Watershed, Tamilnadu, Nasir N

Theses and Dissertations

Tanks and earthen embankments used for water harvesting and storage have been a significant part of India's irrigation system since the 2nd and 3rd centuries. In Tamil Nadu, around 39,202 tanks have storage capacities of around 178.94 million cubic feet. However, they have been impacted by natural and anthropogenic threats such as soil erosion, siltation, inadequate rainfall, and drought. This study aims to determine the current storage capacity of tanks, estimate the loss in storage capacity/volume of silt, estimate the rate of siltation and life of tanks, identify soil erosion-prone zones, and map deteriorating parameters along supply channels.

The study …

Exploration Of Energy Efficient Location Based Routing Protocols For Wireless Sensor Networks, Huthiafa Q. Qadori, Idris Abubakar Umar, Mohammed Khalaf

Iraqi Journal for Computer Science and Mathematics

Few routing protocols designed for wireless sensor networks (WSN) have been adopted for commercial use in today's technology. This is because when designing the protocols, there is a need to trade-off some features to improve others, but for some designs, these compromises are deemed adamant especially when resources are constrained. An Ideal sensor node is expected to have a small code size capable of coordinating communication activities with the least energy possible. This survey studies some energy-efficient location-based routing protocols that were proposed over the years, with a key interest in factors influencing energy utilization, as it is the most …

Proximal Remote Sensing: An Essential Tool For Bridging The Gap Between High-Resolution Ecosystem Monitoring And Global Ecology, Zoe Amie Pierrat, Troy S. Magney, Will P. Richardson, Benjamin R. K. Runkle, Jen L. Diehl, Xi Yang, William Woodgate, William K. Smith, Miriam R. Johnston, Yohanes R. S. Ginting, Gerbrand Koren, Loren P. Albert, Christopher L. Kibler, Bryn E. Morgan, Mallory Barnes, Adriana Uscanga, Charles Devine, Mostafa Javadian, Karem Meza, Tommaso Julitta, Giulia Tagliabue, Matthew P. Dannenberg, Michal Antala, Christopher Y. S. Wong, Andre L. D. Santos, Koen Hufkens, Julia K, Marrs, Atticus E. L. Stovall, Yujie Liu, Joshua B. Fisher, John A. Gamon, Kerry Cawse-Nicholson

Civil and Environmental Engineering Student Research

A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or ‘proximal’ remote sensing, enables a comprehensive characterization of terrestrial ecosystem structure, function, and fluxes of energy, water, and carbon. Proximal remote sensing can bridge the gap between individual plants, site-level eddy-covariance fluxes, and airborne and spaceborne remote sensing by providing continuous data at a high-spatiotemporal resolution. Here, we review recent advances in proximal remote sensing for improving our mechanistic understanding of plant and ecosystem processes, model development, and validation of current and upcoming satellite missions. We provide current best practices for data availability …

A Bayesian Network For Business Uncertainties In Coal Mining Industry, Firman Risqul Fidry, Iwan Vanany, Jerry Dwi Trijoyo Purnomo

Journal of Sustainable Mining

In recent years, business uncertainty in the coal mining industry has increased along with increasing global energy demand and carbon emission reduction policies. Not much research has been done on business uncertainty in the coal mining industry based on modelling. This study aimed to develop a model for business uncertainty in the coal mining industry using a Bayesian network approach. The Indonesian coal mining industry was utilized as a case study to develop the proposed model. Two dimensions and nine factors were identified and structured based on a literature review and rigorous interviews with three interviewees from three companies. Each …