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Navigating Cultural Transitions: The Adaptation Experiences Of Bangladeshi International Students In The Usa, Khadiza Tul Kubra Jan 2025

Navigating Cultural Transitions: The Adaptation Experiences Of Bangladeshi International Students In The Usa, Khadiza Tul Kubra

Electronic Theses and Dissertations

This thesis explores how Bangladeshi international students adapt to life and study in the United States. I conducted in-depth interviews with students at the University of Mississippi to understand their everyday experiences. My focus was on how they manage cultural, academic, and social challenges. I used segmented assimilation theory, Berry’s acculturation model, and Bourdieu’s concept of cultural capital to guide my analysis. The findings are shared in three main parts. First, I discuss how students use community support and religious networks to feel at home. Second, I look at how they deal with language barriers, classroom culture, and identity shifts. …


Synthesis And Characterization Of Agmatine Based Carbon Dots, Suyasha Sharad Chaudhari Jan 2025

Synthesis And Characterization Of Agmatine Based Carbon Dots, Suyasha Sharad Chaudhari

Electronic Theses and Dissertations

In this study, carbon dots (CDs) were synthesized from agmatine sulfate, a bioactive molecule with nitrogen-rich moiety guanidine, and citric acid, a commonly used carbon source with oxygen-rich functional groups, at controlled temperatures of 180, 200, and 220°C, as well as CDs of agmatine only at 220°C using a hydrothermal method. The synthesized CDs were characterized for its optical properties, using UV–Vis, Fluorescence, chemical properties using, Fourier transform infrared (FT-IR) spectrophotometry, structural properties using Transmission electron microscopy (TEM) and for surface charge evaluation ζ-potential was measured. UV-Visible spectra confirmed CD formation through characteristic sp² hybridization bands. The synthesized CDs exhibited …


Attitudes And Motivation Of Saudi Students Learning Chinese As A Foreign Language In Saudi Arabia, Emad Hamuh Jan 2025

Attitudes And Motivation Of Saudi Students Learning Chinese As A Foreign Language In Saudi Arabia, Emad Hamuh

Electronic Theses and Dissertations

This study aims to examine the attitudes and motivation of Saudi learners toward learning Chinese as a foreign language (CFL), the effectiveness of Chinese teaching pedagogy, and the learners’ perceptions of Chinese culture and its impact on cross-cultural communication. This study is qualitative in nature, incorporating a qualitative instrument of data collection (in-depth interviews). The target population includes 8 Saudi CFL learners and 4 instructors at two universities in Saudi Arabia, namely King Abdulaziz University (KAU) and the University of Jeddah (UJ). The findings revealed that some Saudi CFL learners exhibited positive attitudes toward CFL learning, primarily influenced by their …


Optimizing Infill Density For Fabricating Novel Radio Frequency Devices Utilizing Additive Manufacturing, Bibek Kattel Jan 2025

Optimizing Infill Density For Fabricating Novel Radio Frequency Devices Utilizing Additive Manufacturing, Bibek Kattel

Electronic Theses and Dissertations

Additive manufacturing, commonly known as 3D printing, is revolutionizing radio frequency engineering. Along with rapid prototyping and fabricating complex structures, it enables varying substrate thickness and dielectric properties, which are highly beneficial for radio frequency research. However, despite its growing popularity, there’s a gap in understanding how 3D printing process parameters affect the electrical properties of the 3D printed structure. In radio frequency design, where device performance and characteristics heavily depend on electrical parameters such as relative permittivity, this hinders the consistency, repeatability, and reliability of 3D printed radio frequency devices.

This research addressed this gap by investigating the relationship …


Exploring Simplified Reservoir Computing Systems For Resource-Constrained Edge Ai Hardware, Ziyi Niu Jan 2025

Exploring Simplified Reservoir Computing Systems For Resource-Constrained Edge Ai Hardware, Ziyi Niu

Electronic Theses and Dissertations

Echo State Networks (ESNs) have emerged as a promising paradigm for modeling complex temporal dynamics due to their unique architecture in which only the output weights require training, while the recurrent internal reservoir remains fixed. This characteristic significantly reduces training complexity and computation time, making ESNs particularly attractive for real-time processing and resource-constrained, low-power hardware implementations. However, conventional ESNs typically employ the computationally demanding hyperbolic tangent (tanh) activation function within the reservoir neurons, which poses challenges for efficient hardware realization. To address this limitation, recent research has focused on exploring alternative lightweight activation functions—including Logistic, Tent, tanh-Linear, ReLU, and Quadratic …


Storytelling In Context: How Resources Enable And Constrain The Stories Entrepreneurs Tell, John J. Rogers Jan 2025

Storytelling In Context: How Resources Enable And Constrain The Stories Entrepreneurs Tell, John J. Rogers

Electronic Theses and Dissertations

This dissertation investigates how entrepreneurial storytelling is shaped by and shapes its material and cultural context, extending the Theory of Cultural Entrepreneurship (TOCE). While TOCE highlights storytelling as a mechanism through which entrepreneurs construct legitimacy and secure resources by drawing on culturally resonant narratives, prior research has largely overlooked the constraining and enabling role of material resources in this process. This dissertation addresses this gap by examining how context functions, not merely as a backdrop but as a constitutive force in entrepreneurial storytelling. Using ethnographic methods, two studies were conducted at a regenerative farm and processing facility in rural Mississippi. …


The Characterization Of Radiation Forces Using Tunable Acoustic Lenses, Sina Rostami Jan 2025

The Characterization Of Radiation Forces Using Tunable Acoustic Lenses, Sina Rostami

Electronic Theses and Dissertations

This dissertation investigates the design, analysis, and optimization of tunable acoustic lenses with a primary focus on beamforming, dynamic focusing, and the generation of limited diffraction beams. The study examines the performance of four-channel and six-channel lenses in producing highly controlled ultrasonic fields with minimal diffraction. Numerical simulations and experimental validation are used to demonstrate how these lenses effectively form focused beams that maintain spatial coherence over a range of distances.

A systematic comparison between the four-channel and six-channel lenses is performed at multiple focal configurations (5.5 cm, 7.8 cm, and 10.0 cm). The results show that both lens types …


An Evaluation Of A Collaborative Effort In High School Science Classes To Support Teaching And Learning Through Professional Development, Shalanda Saulsberry Jan 2025

An Evaluation Of A Collaborative Effort In High School Science Classes To Support Teaching And Learning Through Professional Development, Shalanda Saulsberry

Electronic Theses and Dissertations

The purpose of this study was to improve high school teachers’ instructional practices through professional learning. This applied research study, using program evaluation, sought to improve science instruction in building their capacity through instructional practices. Faculty interest was created from reviewing various school and district data sources, observing the practices of science teachers, and having informal conversations with students about learning. Although professional development was provided in the past, there was a need for content-specific science professional learning to change teachers’ instructional practices. Through targeted professional development sessions, as well as observation and feedback, there was a goal of increasing …


Maximum Likelihood Estimation For Partially Observed Markov Model Using Different Tail Perturbations, Zamzam Qazi Jan 2025

Maximum Likelihood Estimation For Partially Observed Markov Model Using Different Tail Perturbations, Zamzam Qazi

Electronic Theses and Dissertations

This work is about parameter estimation of POMP models using the two-time scale Iterated Filtering algorithms with p-generalized Gaussian perturbations. The algorithms are effective for estimating numerous types of infectious disease models such as COVID-19, influenza or various other diseases. First, we introduce the generalization of Stein’s identity for normal distribution to p-generalized Gaussian distribution, which enables more flexible perturbation with different tail behaviors. Then, we provide proofs and verify their authenticity by applying them in black box optimization as well as optimization of multivariate state space models. Also, we propose a novel weighted average algorithm for maximizing likelihood through …


Microgravity-Induced Effects On Global Gene Fitness And Secondary Metabolite Yield In Bacteria, Gayatri Sharma Jan 2025

Microgravity-Induced Effects On Global Gene Fitness And Secondary Metabolite Yield In Bacteria, Gayatri Sharma

Electronic Theses and Dissertations

Bacteria are ubiquitous and capable of colonizing nearly any environment, including extreme conditions such as deep oceans, high altitudes, and even space-faring vehicles. These vehicles present unique stresses not found on Earth such as microgravity and radiation. As space exploration advances, understanding how microgravity affects bacterial life has become increasingly important. Over the past 60 years, studies using both real and simulated microgravity have revealed species-specific responses, collectively indicating broad changes in bacterial function and physiological adaptations.

Initially, this study examined Novosphingobium aromaticivorans, a lignin-degrading bacterium detected in spacecraft cleanroom environments by assessing gene fitness during growth in microgravity on …


Efficient Hierarchical Design In Reservoir Computing, Shuai Song Jan 2025

Efficient Hierarchical Design In Reservoir Computing, Shuai Song

Electronic Theses and Dissertations

Reservoir Computing (RC) has established itself as a compelling paradigm for modeling complex temporal dynamics, particularly owing to its efficient training regime, theoretical grounding in dynamical systems, and growing compatibility with hardware-oriented deployments. Among RC variants, Echo State Networks (ESNs) remain popular due to their simplicity and effectiveness; however, traditional ESNs with densely connected, randomly initialized reservoirs present inherent limitations in scalability, energy efficiency, and hardware realizability challenges that hinder their adoption in edge and embedded intelligence scenarios.

In this work, we present an efficient hierarchical reservoir computing framework that integrates three complementary strategies: (1) deterministic Simple Cycle Reservoirs (SCRs) …


1:1 Ipad Implementation & Standardized Testing, Kristen Lane Whitehead Zemek Jan 2025

1:1 Ipad Implementation & Standardized Testing, Kristen Lane Whitehead Zemek

Electronic Theses and Dissertations

This study investigates the relationship between 1:1 iPad implementation and student performance on the Mississippi Academic Assessment Program (MAAP) standardized tests. As school districts increasingly adopt 1:1 technology initiatives, it is critical to understand their impact on key academic outcomes. This research examines the extent to which the consistent use of iPads in the learning environment influences student achievement in core subjects. By analyzing test score data from schools with established 1:1 iPad programs, this paper seeks to provide empirical evidence to inform educational stakeholders, administrators, and policymakers. The findings aim to contribute to the broader discourse on technology integration …


Modeling Capillary-Gravity Wave Scattering With Contact Lines And Meniscus, Guoqin Liu Jan 2025

Modeling Capillary-Gravity Wave Scattering With Contact Lines And Meniscus, Guoqin Liu

Electronic Theses and Dissertations

Capillary–gravity wave scattering is crucial in fluid systems governed by gravitational and surface tension forces, yet classical theories often neglect key boundary and geometric effects. This dissertation examines two influential mechanisms—dynamic contact line conditions and meniscus curvature—that significantly affect wave behavior at smaller scales.

First, a semi-analytical framework is presented to show how dynamic contact lines, modeled by an effective-slip boundary, alter wave reflection and transmission around a fixed, semi-immersed cylindrical barrier. Using linear potential flow theory combined with conformal mapping and integral-equation methods, the study quantifies how barrier geometry, Bond number, and slip parameters shape energy dissipation. It identifies …


Evaluation Of High-Moisture Ear Corn As A Roughage Source In Finishing Diets Fed To Beef Steers, Riley J. Leeson Jan 2025

Evaluation Of High-Moisture Ear Corn As A Roughage Source In Finishing Diets Fed To Beef Steers, Riley J. Leeson

Electronic Theses and Dissertations

The objective of this study was to evaluate the feedlot performance, rumination activity, and carcass characteristics of high moisture ear corn (HMEC) as a roughage source in finishing diets fed to beef steers. Backgrounded steers (n = 191; initial shrunk weight [4% BW] = 449 kg  23.9 kg) were assigned randomly to 1 of 24 pens (8 steers/pen) with pens randomly assigned to one of four dietary treatments (6 pens/treatment): control diet with hay fed at 10% roughage equivalency (RE; HAY10), or HMEC at either 14% (EAR14), 10% (EAR10), or 6% (EAR6) RE. High-moisture ear corn was assumed to …


Video Comprehension Score (Vcs): A Metric For Long-Form Video Description Evaluation, Harsh Dubey Jan 2025

Video Comprehension Score (Vcs): A Metric For Long-Form Video Description Evaluation, Harsh Dubey

Electronic Theses and Dissertations

Existing video description evaluation metrics fail to capture the long-range chronology and semantic alignment essential for long-form descriptions. An effective evaluation metric for long-form descriptions must (i) assess global thematic alignment, (ii) measure local semantic alignment, and (iii) evaluate chronological alignment while detecting corrupted content. We introduce Video Comprehension Score (VCS), a reference-based metric, which directly addresses these evaluation requirements through three components: Global Alignment Score for thematic alignment, Local Alignment Score for local semantic alignment, and Narrative Alignment Score for chronological alignment with adjustable tolerance. We evaluate VCS on two large-scale synthetic datasets designed to test corruption detection and …


A Research Project On The Feasibility Of The State Of California’S Mandate To Sell Only Zero-Emission (Electric) Vehicles By The Year 2035 For California And South Dakota, Sandeep Pudasaini Jan 2025

A Research Project On The Feasibility Of The State Of California’S Mandate To Sell Only Zero-Emission (Electric) Vehicles By The Year 2035 For California And South Dakota, Sandeep Pudasaini

Electronic Theses and Dissertations

This research evaluates the feasibility of California's mandate to transition entirely to zero emission vehicles (ZEVs) by 2035 and explores the prospects of South Dakota adopting a similar policy. The study analyzes key factors such as infrastructure readiness, renewable energy capacity, material requirements for electric vehicle (EV) batteries, and socioeconomic variables that influence ZEV adoption. Feasibility studies like this are critical because large-scale policy mandates have far reached implications for energy systems, environmental outcomes, and economic planning. Understanding whether a state is equipped to meet such a goal allows policymakers to anticipate challenges, identify infrastructure gaps, and allocate resources more …


Molecular Dynamics Simulation Of Thermal Properties Of Single Walled Carbon Nanotubes, Shiv Nath Jha Jan 2025

Molecular Dynamics Simulation Of Thermal Properties Of Single Walled Carbon Nanotubes, Shiv Nath Jha

Electronic Theses and Dissertations

Molecular dynamics (MD) simulations are a powerful tool for investigating the thermal behavior of carbon nanotubes (CNTs), which are renowned for their exceptional thermal conductivity and potential in nanoscale thermal management applications. This study employs the open-source software LAMMPS, in conjunction with VMD for model generation, to explore the thermal transport properties of (10,10) single-walled carbon nanotubes (SWCNTs) using non-equilibrium molecular dynamics (NEMD). The thermal conductivity of SWCNTs was evaluated across four tube lengths (5 nm, 10 nm, 20 nm, and 40 nm) and at temperatures ranging from 300 K to 600 K under two distinct boundary conditions: free boundary …


Evaluating Dietary Consequences On Body Mass And Thermal Heat Flux Of North American Bison (Bison Bison) Yearling Heifers, Kendall Marie Wald Jan 2025

Evaluating Dietary Consequences On Body Mass And Thermal Heat Flux Of North American Bison (Bison Bison) Yearling Heifers, Kendall Marie Wald

Electronic Theses and Dissertations

No abstract provided.


Deciphering Genetic Contributions To Antibiotic Persistence: Insights From Multi-Gene Knockout Studies, Elise K. Schweer Jan 2025

Deciphering Genetic Contributions To Antibiotic Persistence: Insights From Multi-Gene Knockout Studies, Elise K. Schweer

Electronic Theses and Dissertations

Antibiotic resistance is a critical global health challenge, complicating efforts to treat bacterial infections effectively. Antibiotic persistence plays a significant role in driving resistance. Persisters are a subpopulation of non-dividing bacterial cells that often evade lethal antibiotic treatment. Once antibiotics are removed, these cells "resurrect," resuming growth and may lead to relapsing infections. Notably, the progeny of persister cells exhibit a heightened tendency to acquire mutations or incorporate antibiotic resistance genes, further compounding the challenge of antibiotic resistance. In our recent study, we knocked out seven hypothetical genes and observed a significant reduction in persister levels. Compared to the wild …


Optimizing Heifer Development On Dormant Rangelands By Integrating Precision Livestock Technologies With The Range Supplementation Model And The Evaluation Of Short-Term Rotations Of Precision Technology On Plant Communities, Hadley Ann Dotts Jan 2025

Optimizing Heifer Development On Dormant Rangelands By Integrating Precision Livestock Technologies With The Range Supplementation Model And The Evaluation Of Short-Term Rotations Of Precision Technology On Plant Communities, Hadley Ann Dotts

Electronic Theses and Dissertations

Heifer development on dormant rangelands offers a cost-effective alternative to feedlot or drylot systems. However, traditional bunk supplementation methods often result in uneven intake, inefficient feed use, and ecological degradation around static feeding sites. This thesis evaluated the integration of precision livestock technologies and a dynamic Range Supplementation Model to improve individual animal performance, weight uniformity, and rangeland sustainability in extensive heifer development systems in the Northern Great Plains. The first study involved a seven-month trial (November 2023–May 2024) with 50 yearling Angus heifers grazing dormant native rangelands at the SDSU Cottonwood Field Station. Heifers were stratified into two treatments: …


Testing The Effect Of Source And Environment On Native Seed Germination To Inform Seed-Based Restoration Of Grasslands, Brandon Clark Jan 2025

Testing The Effect Of Source And Environment On Native Seed Germination To Inform Seed-Based Restoration Of Grasslands, Brandon Clark

Electronic Theses and Dissertations

Grasslands are one of the most endangered ecosystems on the planet, and they provide a variety of important ecosystem services that people rely on. Losses of grasslands can be mitigated through restoration. Seed-based restoration is a regularly used practice due to its practicality and cost-effectiveness. Planting non-local seed that may not be suitable for its destination environment can have consequences in plant establishment and subsequent restoration success. This experiment tested the response (final germination and germination rate) of seed from 11 perennial tallgrass species sourced from 3 different locations to different germination temperature conditions. Seeds from three sources of each …


Global Spectral Clustering Of Temporally Stable Pixels For Epics Identification, Validation, And Hyperspectral Assignment For Satellite Calibration, Juliana Maria Fajardo Rueda Jan 2025

Global Spectral Clustering Of Temporally Stable Pixels For Epics Identification, Validation, And Hyperspectral Assignment For Satellite Calibration, Juliana Maria Fajardo Rueda

Electronic Theses and Dissertations

No abstract provided.


Refinement Of Trend-To-Trend Cross Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (Epics) Global Temporally Stable Target, Minura Samaranayake Jan 2025

Refinement Of Trend-To-Trend Cross Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (Epics) Global Temporally Stable Target, Minura Samaranayake

Electronic Theses and Dissertations

Cross-calibration is an essential technique for calibrating Earth Observation satellite sensors, which involves taking nearly simultaneous images of a ground target to compare uncalibrated sensor to a well-calibrated reference sensor. This study introduces the hyperspectral Trend-to-Trend (T2T) cross-calibration technique utilizing EPICS Cluster 13 Global Temporally Stable (Cluster 13-GTS) as the calibration target, offering better temporal stability than previous targets used in T2T cross-calibration by an absolute difference of 0.4%, between coefficients of variation across all bands excluding CA band. A multispectral sensor-specific normalized hyperspectral profile was developed using the EO-1 Hyperion hyperspectral profile over Cluster 13-GTS to improve Spectral Band …


Teacher Perceptions And Student Self-Reports: Examining Aggression, Delinquency, And Contextual Correlates In Education And Non-Educational Settings, Abigail Claire Boozer Jan 2025

Teacher Perceptions And Student Self-Reports: Examining Aggression, Delinquency, And Contextual Correlates In Education And Non-Educational Settings, Abigail Claire Boozer

Electronic Theses and Dissertations

This study investigates the relationship between teacher-perceived delinquency and student self-reported delinquency, utilizing data from the LONGSCAN data set. The research also examines whether the correlates of these behaviors differ across classroom and non-classroom settings, offering insights into the contextual dynamics of delinquency. Grounded in labeling theory, this study explores the influence of teacher perceptions on student behavior, highlighting how labeling may reinforce or mitigate patterns of aggression and delinquency. By leveraging the rich longitudinal data from LONGSCAN, the research identifies key demographic, familial, and environmental factors that contribute to these behaviors. The findings aim to inform educational interventions and …


Structure And Function Of Sulfated Fucans And Fucosylated Chondroitin Sulfates: Therapeutic And Mechanistic Insights, Marwa Farrag Jan 2025

Structure And Function Of Sulfated Fucans And Fucosylated Chondroitin Sulfates: Therapeutic And Mechanistic Insights, Marwa Farrag

Electronic Theses and Dissertations

Glycosaminoglycans (GAGs) are heteropolysaccharides widely exploited in the clinic and as molecular models in biomedical research. Marine-derived GAG analogs, particularly sulfated fucans and fucosylated chondroitin sulfates exhibit unique and diverse glycan motifs that are not found in the typical mammalian GAGs. The distinctive structures of the marine sulfated glycans (MSGs) not only expand the structural landscape of GAG-like molecules but also provide valuable platforms to elucidate structure-activity relationships and explore their potential as novel scaffolds for glycan-based therapeutic development. This dissertation presents the isolation, structural characterization, controlled depolymerization, and functional evaluation of several MSGs, highlighting their therapeutic potential, particularly those …


Sentiment Driven Deep Learning Approach In Stock Market Prediction, Zhiqi Niu Jan 2025

Sentiment Driven Deep Learning Approach In Stock Market Prediction, Zhiqi Niu

Electronic Theses and Dissertations

With the rapid development of Artificial Intelligence (AI) technology, its application in the financial field has moved from theoretical exploration to practical deployment. Especially in stock market forecasting, machine learning (ML) and deep learning (DL) have significantly improved the performance of traditional statistical methods by analyzing massive historical data. However, the stock market is affected by multiple dynamic factors, including macroeconomic indicators (e.g., GDP, interest rates), company fundamentals (e.g., earnings reports, management changes), technical indicators (e.g., moving averages, trading volume), and unforeseen black swan events (e.g., political unrest, natural disasters). These nonlinear interactions of these factors makes stock price prediction …


An Integrated Data-Driven Framework For Coupling Upland Process Models And In-Stream Hydraulic Geometry Estimation, Ahmet Nazim Sahin Jan 2025

An Integrated Data-Driven Framework For Coupling Upland Process Models And In-Stream Hydraulic Geometry Estimation, Ahmet Nazim Sahin

Electronic Theses and Dissertations

Large-scale watershed simulation platforms, such as the Agricultural Integrated Management System (AIMS), are essential for water resource management but are often limited by a critical lack of detailed in-stream channel data required for comprehensive river analysis. This study addresses this gap by developing and validating an integrated, data-driven framework that couples upland process models with in-stream hydraulic geometry estimation at a national scale. The research was executed through two complementary thrusts founded on the National Hydrography Dataset Plus (NHDPlus).

First, a geospatial workflow was developed to create NHDPlus-driven input files for the Annualized Agricultural Non-Point Source (AnnAGNPS) model—a tool for …


High-Resolution And Time-Efficient Infiltration Rate Estimating Technique Using Geophysical Emi And Hydrogeological Modeling, Md Abdus Samad Jan 2025

High-Resolution And Time-Efficient Infiltration Rate Estimating Technique Using Geophysical Emi And Hydrogeological Modeling, Md Abdus Samad

Electronic Theses and Dissertations

Information on infiltration rates is crucial for developing climate-resilient infrastructure, optimizing irrigation in agricultural management, and tackling stormwater-related hazards. However, rapid urbanization and climate change are expected to exacerbate these risks. Therefore, proper assessment and understanding of infiltration capacity is essential for designing effective soil conservation strategies aimed at enhancing infiltration, reducing erosion, and supporting sustainable land and water management. Despite the importance, traditional methods such as single ring and double ring infiltrometer (DRI) test are limited by spatial resolution and time inefficiency, often fail to capture spatial heterogeneity across large areas.

To address these limitations, this research developed a …


Measurement Of Forces In Standing Wave Ultrasonic Fields, Milan Rai Jan 2025

Measurement Of Forces In Standing Wave Ultrasonic Fields, Milan Rai

Electronic Theses and Dissertations

The acoustic radiation force provides the physical mechanism for the non-contact levitation and manipulation of particles in ultrasonic standing wave fields. This thesis presents a study on the measurement, simulation, and validation of acoustic radiation forces acting on spherical particles levitated in air. The motivation for this work is to provide high-precision measurements of acoustic radiation forces in trapping systems, which are of particular interest in biomedical manipulation, materials science, and contactless assembly.

The study employs a three-part methodology: theoretical analysis, experimental observation, and numerical simulation. Theoretically, the acoustic radiation force was derived from Gor’kov’s potential (valid for ka « …


Groundwater Age Estimates For The Mississippi River Valley Alluvial Aquifer And Comparisons With Hydrogeologic Heterogeneity, Michael Gratzer Jan 2025

Groundwater Age Estimates For The Mississippi River Valley Alluvial Aquifer And Comparisons With Hydrogeologic Heterogeneity, Michael Gratzer

Electronic Theses and Dissertations

Groundwater age is a useful tool for characterizing various aspects of groundwater availability. No aquifer-wide groundwater age characterization was completed for the Mississippi River Valley alluvial aquifer (MRVA) before this study. Using 3H, 14C, SF6, and 3Hetrit concentrations in groundwater samples from the MRVA and some underlying aquifers of the Mississippi embayment, this study estimated age distributions of samples with lumped parameter models (LPMs) in the U.S. Geological Survey (USGS) TracerLPM software and investigated the factors controlling groundwater age in the MRVA. To better understand how hydrogeologic heterogeneity affects groundwater age, each sample’s age distribution coefficient of variation [Cv(LPMAD)] was …