Other Physical Sciences and Mathematics Commons^™

Results And Implications For Space Weather Forecasting Of Periodic Mesoscale Solar Wind Structures Responsible For Radiation Belt Particle Loss, Grace Gratton

Discovery Day - Daytona Beach

Highly dynamic and structured mesoscale solar wind continually buffets Earth's magnetosphere, the moon, and Mars. These mesoscale structures cause several significant risks to spacecraft and astronauts, including driving radiation belt depletion and amplifying the hazards of CMEs and SIRs through upstream solar wind preconditioning. Characterizing the solar origins and solar wind properties of geoeffective mesoscale structures is essential for eventually forecasting their arrival and space weather impact at various satellites. In this interdisciplinary work, we leverage modeling and data analysis to characterize a series of events observed by the Balloon Array for Radiation-belt Relativistic Electron Losses (BARREL) instrument – in …

Paleohydraulic Analysis Of Megaripples From Outburst Floods In Omak, Washington, Jessica M. Lawrence

2024 Symposium

Located in Omak, Washington atop what is observed to be a gravel point bar are giant current ripples associated with outburst floods that took place during the Pleistocene (O’Connor et al. 2020 and Minard 1985). Thorough breakdown of these giant current ripples was conducted using their geomorphologies associated with stream flow mechanisms for gravel bedforms such as hydraulic radius of cross- sectional area and velocity using Manning’s equation to determine Froude’s Number (USDA 2007). Ripple index associated with ripple wavelength and height was then compared to additional megaripples located throughout Scablands of Washington that have been correlated to the Great …

Helices In Fluids And Applications To Modeling In Biology, Eva M. Strawbridge

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

I-GUIDE Forum

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …

A Confluence Of Cultural And Water History With The Seli’Š Ksanka Qlispe’ Dam Formerly Named The Kerr Dam, Allisen A. Hansen

2023 Symposium

The Seli’š Ksanka Qlispe’ Dam (SKC Dam), formerly known as the Kerr Dam is the first Native American tribally owned dam in the United States. Located on the Confederated Salish and Kootenai Tribes(CSKT) of the Flathead Reservation, on the Flathead River in Montana, the dam was once considered the blight of the Whiteman’s landgrab and genocide of culture and language. Now it is a source of hope to the tribe to help its members and improve its future. Completed in 1938, it is one of two dams on the Flathead River, just south of the Flathead Lake. By following the …

Unomaha Problem Of The Week (2021-2022 Edition), Brad Horner, Jordan M. Sahs

UNO Student Research and Creative Activity Fair

The University of Omaha math department's Problem of the Week was taken over in Fall 2019 from faculty by the authors. The structure: each semester (Fall and Spring), three problems are given per week for twelve weeks, with each problem worth ten points - mimicking the structure of arguably the most well-regarded university math competition around, the Putnam Competition, with prizes awarded to top-scorers at semester's end. The weekly competition was halted midway through Spring 2020 due to COVID-19, but relaunched again in Fall 2021, with massive changes.

Now there are three difficulty tiers to POW problems, roughly corresponding to …

Mathematical Model Of Devil Facial Tumor Disease (Dftd) Spread In Tasmanian Devils, Abigail Collins

Scholars Week

Applications of disease models can lead to insight on spread of diseases, population movements, and wildlife health safety. This exploration of mathematical models sought to determine the spread of wildlife disease, specifically devil facial tumor disease (DFTD). Tasmanian devil populations have been negatively affected by DFTD. The basic SIR disease model was modified to better fit the spread of DFTD, along with a network model to inspect the rate of infectivity. It was found that the population of Tasmanian devils will continue to decrease in size and multiple populations are connected to each other. Models of wildlife disease have the …

Weather And Climate Research At The Kentucky Climate Center Based On Mesonet Observations, Brittany Pekara, Eric Rappin

Posters-at-the-Capitol

The Kentucky Mesonet is a great asset for the Commonwealth of Kentucky in a multitude of ways, from real-time storm monitoring to building a detailed climate record. A detailed climate record is essential as causality between observations and extreme weather can be identified, making it a great tool in an evolving climate system. The climate record being developed at the 75+ Kentucky Mesonet observation stations consists of approximately 75 indices that reflect frequency, extremes, range, duration, trends of precipitation, droughts, and extreme temperatures. Calculations are done for daily, weekly, monthly, seasonal, bi-annual, and annual aggregation periods. Tools will also be …

An Integral Projection Model For Gizzard Shad That Includes Density-Dependent Age-0 Survival, James Peirce, Greg Sandland

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Application Of Tda Mapper To Water Data And Bird Data, Wako Bungula

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

The Disconnect Between Forensic Science And The Lawyers And Judges Who Represent It, Hannah Reidenbaugh

Graduate Student Research Symposium

The goal of this research is to demonstrate a knowledge gap in the forensic science education of lawyers. In law schools across the country, there is minimal curriculum requirements focused on educating law students in forensic science. Of the top 50 law schools in the U.S., 20% offer a forensic science elective. After the rigor of law school, there is no requirement set to educate lawyers in forensic science. In fact, based on survey responses, 51% of criminal lawyers do not take part in forensic science continuing education programs. Though educators as well as professionals have voiced the need for …

Climate Change Models, Lauren Fie

Capstone Showcase

As a result of the changing climate, global temperatures and global mean sea levels (GMSL) have been increasing rapidly. The complex physical systems surrounding this growth make it difficult to form an accurate model. This paper looks at a simplified model proposed and supported by Aral, Guan, and Chang. This model consists of a system of ordinary differential equations that are simplified and solved theoretically, then applied using python to calculate precise values and form predictions.

Human Mobility – Epidemiological Modeling Of Zika Virus Spread In A Caribbean Island: A System Dynamic Approach, Edilberto Arteaga

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Data-Driven Model Of Glioma Growth With Explicit Birth And Death Rates, Lifeng Han

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Integration Of Lidar And Imagery To Delineated Water Bodies For Change Detection, Ashley E. Casselberry, Cetin Haluk

Scholars Week

Through integration of Light Detection and Ranging (LiDAR) data and high spatial imagery, it is plausible to delineate the bodies of water in order to monitor their changes in size. The purpose of this study is to integrate two different sets of LiDAR data, several multi-date high spatial resolution National Agriculture Imagery Program (NAIP) images, and multi-dateLandsat-8 satellite images of Ballard County, Kentucky for the delineation of the water bodies in the County. Accuracy and precision of the datasets in terms of spatial and spectral resolutions will be examined. The hypothesis is that an integration of such datasets would provide …

Vegetation Mapping Of Mammoth Cave National Park Using Multi-Date Landsat-8 Imagery And Lidar Data, Hongli Yang, Robin Q. Zhang

Scholars Week

Up-to-date and detailed vegetation map provides critical information for habitat management. In addition, a vegetation map is necessary for the Park’s Fire Management, for classification of fuel types, and for delineation of fire management units. There have been several attempts of vegetation mapping in 1934, 1975 and 1997. Recent advancements in mapping technology and the availability of high resolution Lidar data call for a new vegetation map for the Park’s management team.

In this study, Landsat-8 Operational Land Imager (OLI) imagery, Lidar and geology dataset were applied to vegetation mapping. Habitat types are determined by a combination of geology, aspect …

The Cost Of Karst Subsidence And Sinkhole Collapse In The United States Compared With Other Natural Hazards, David J. Weary

Sinkhole Conference 2015

Rocks with potential for karst formation are found in all 50 states. Damage due to karst subsidence and sinkhole collapse is a natural hazard of national scope. Repair of damage to buildings, highways, and other infrastructure represents a significant national cost. Sparse and incomplete data show that the average cost of karst-related damages in the United States over the last 15 years is estimated to be at least $300,000,000 per year and the actual total is probably much higher. This estimate is lower than the estimated annual costs for other natural hazards; flooding, hurricanes and cyclonic storms, tornadoes, landslides, earthquakes, …

Level Up To Hlm: A Way To Handle Multilevel Data, Franklin F. Loeb Jr.

Capstone Showcase

This paper firstly provides a conceptual explanation of Hierarchical Linear Modeling. It provides rationale for its development, its applications as well as some of its limitations. It also delves briefly into the topic’s relatively short history. It is the hope of the author that this paper will motivate the reader to learn more about the method and consider its use when appropriate in their practice. Secondarily it provides a Monte Carlo Simulation made by the Author to determine how multilevel data influences the true type I error rate of one sample t-tests under a range of specific conditions. It is …