Digital Commons Network^™

Characterizing Rainfall Variability Within A Series Of Storms Over Northern California In February 2017, Parker Jan Malek

Dissertations and Theses

In February 2017, a series of storms with associated atmospheric rivers (ARs) made landfall in the US state of California, dropping large amounts of precipitation over the Sierra Nevada Mountains and their western foothills. The rainfall from these ARs, long, narrow bands of water vapor that transport large amounts of water vapor from the tropics to the mid-latitudes, instigated the near-failure of the Oroville Dam located at the southeastern edge of the Feather watershed outside the city of Oroville in the state's Central Valley. This case study provides a synoptic and mesoscale diagnosis of the drivers of rainfall pulses that …

Next Arrival And Destination Prediction Via Spatiotemporal Embedding With Urban Geography And Human Mobility Data, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, Kunpeng Liu

Computer Science Faculty Publications and Presentations

With the development of transportation networks, countless trajectory data are accumulated, and understanding human mobility from traffic data could be helpful for smart cities, urban computing, and urban planning. Extracting valuable insights from traffic data, such as taxi trajectories, can significantly improve residents’ daily lives. There are many studies on spatiotemporal data mining. As we know, arrival prediction or regional function detection encompasses important tasks for traffic management and urban planning. However, trajectory data are often mutilated because of personal privacy and hardware limitations, i.e., we usually can only obtain partial trajectory information. In this paper, we develop an embedding …

Transfer Learning In Junction With A Light Use Efficiency Model For Estimating Grassland Gross Primary Production, Ruiyang Yu, Yunjun Yao, Qingxin Tang, Xueyi Zhang, Changliang Shao, Joshua B. Fisher, Jiquan Chen, Xiaotong Zhang, Yufu Li, Jia Xu, Lu Liu, Zijing Xie, Jing Ning, Jiahui Fan, Luna Zhang

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

It is significant to simulate grassland gross primary production (GPP) to understand the terrestrial carbon budget over Inner Mongolia (IMG), China. Nevertheless, there is not sufficient in situ GPP data over this region. In this study, we proposed a novel model-based transfer learning (MTL) approach with generative adversarial networks-long short-term memory (GAN-LSTM) and light use efficiency (LUE) models to derive grassland GPP over IMG, China. We first used 25 grassland eddy covariance sites over the conterminous United States to establish the GAN-LSTM model and then fine-tuned it with six sites over IMG to estimate water constraints that were embedded into …

Earth Orbital Rhythms Links Timing Of Deccan Trap Volcanism Phases And Global Climate Change, Thomas Westerhold, Edoardo Dallanave, Donald Penman, Blair Schoene, Ursula Röhl, Nikolaus Gussone, Junichiro Kuroda

Geosciences Faculty Publications

At the end of the Cretaceous, the massive Deccan trap (DT) volcanic eruptions are regarded as the primary driver of global climate deterioration. Accurate age models are key to unravel the sequence of events related to DT volcanism onset and effects on the global climate system. We establish a direct geochemical link between DT volcanism as recorded in marine osmium isotopic data and global climate change documented in benthic foraminifera carbon and oxygen isotope records. Based on our state-of-the-art astronomically calibrated age model, two major shifts in marine ¹⁸⁷Os/¹⁸⁸Os at 66.49 and 66.28 million years ago are …

Fostering & Understanding Diversity Within The Ant Microbiome & Research Group, Manuela O. Ramalho

Sustainability Research & Practice Seminar Presentations

Dr. Manu Ramalho of the Biology Department presents: Fostering and understanding diversity: within the ant microbiome and our research group.

Leveraging High-Frequency Sensor Data And U.S. National Water Model Output To Forecast Turbidity In A Drinking Water Supply Basin, John T. Kemper, Kristen L. Underwood, Scott D. Hamshaw, Dany Davis, Jason Siemion, James B. Shanley, Andrew W. Schroth

Watershed Sciences Faculty Publications

As high-frequency sensor networks increasingly enhance data-driven models of water quality, process-based models like the U.S. National Water Model (NWM) are generating accessible forecasts of streamflow at increasingly dense scales. There is now an opportunity to combine these products to construct actionable water quality forecasts. To that end, we couple streamflow forecasts from the NWM to a gradient-boosted decision tree algorithm (LightGBM) trained on 5+ years of high-frequency monitoring data to forecast in-stream turbidity levels in the Catskill Mountains, NY, USA. Results indicate LightGBM models are capable of relatively skillful predictions, which enable robust forecasts for 1–3 days lead times. …

Alfred Russel Wallace Notes 35. Natural Selection By Evolution., Charles H. Smith

Faculty/Staff Personal Papers

Alfred Russel Wallace (1823?1913) is remembered, with Charles Darwin, as the co-originator of the concept of evolution by natural selection. But Wallace’s framing of the idea increasingly became one in which natural selection itself was regarded as a law of nature, not a theory per se.

Maine Career Exploration: Final Evaluation Report, Julia Bergeron-Smith Mppm, Msw, Sarah Goan, Madison Burke, Becky Wurwarg, Amy Geren, Shannon Saxby

Publications

The Maine Career Exploration (MCE) Program was a two-year, $25 million pilot initiative launched in 2022 by Governor Janet Mills as part of the Maine Jobs and Recovery Plan. The program aimed to connect young people aged 16 to 24 with Maine’s economy through paid, age-appropriate career experiences that matched their interests, while also expanding career exploration opportunities in schools and communities and building long-term infrastructure to sustain these efforts. Managed by the Maine Department of Economic and Community Development, MCE distributed funding across three main streams: the Maine Children’s Cabinet Career Exploration Pilot Project, the Maine Department of Education’s …

Accurate Estimation Of Jujube Leaf Chlorophyll Content Using Optimized Spectral Indices And Machine Learning Methods Integrating Geospatial Information, Nigela Tuerxun, Sulei Naibi, Jianghua Zheng, Renjun Wang, Lei Wang, Binbin Lu, Danlin Yu

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Leaf chlorophyll content (LCC) is vital for photosynthesis and ecosystem functioning; it influences carbon, water, and energy exchanges while serving as an indicator of photosynthetic activity and nitrogen levels in precision agriculture. Hyperspectral data enable precise LCC monitoring by extracting spectral indices through optimal band combination (OBC) and predicting LCC with machine learning. However, OBC faces dimensionality issues, and machine learning models often overlook geographical influences, potentially reducing prediction accuracy. This study hypothesizes that developing spectral indices from important wavelengths and integrating geospatial data into machine learning models can address these issues and increase prediction accuracy. To test this hypothesis, …

Managing Beyond Water: Utilizing Community Well-Being Interviews In The Upper Yakima River Basin, Usa, For Climate Change Adaptation, Rebecca Gustine, Alexander Theophilus, Courtney G. Flint, Jessica D. Ulrich-Schad, Emma Epperson, Claudia Mendez Wright, Jennifer C. Adam

Sociology, Social Work and Anthropology Student Research

In contemporary, natural resources dependent and specialized communities, community well-being is connected to the environment. Understanding the local connections between community well-being and the environment can provide a more complete understanding of how to manage social-ecological systems and promote community resilience. Herein, we combine semi-structured community well-being interviews with hydrologic modeling using the variable infiltration capacity (VIC) model to suggest climate adaptation pathways for a diverse set of community interests. We found that community well-being across the Yakima River Basin was connected to water, snow, and the environment through recreation opportunities, aesthetics, livelihoods, and having clean water and air. Additionally, …

Stimulating Environmental And Health Protection Through Utilizing Statistical Methods For Climate Resilience And Policy Integration, Sanaa Kaddoura, Rafiq Hijazi, Nadia Dahmani, Reem Nassar

All Works

Climate change, a critical global challenge, is evident in rising global temperatures, shifting precipitation trends, and extreme weather events, including floods, heatwaves, and rising sea levels. The impacts of climate change not only endanger physical health but also affect mental well-being, particularly among populations experiencing frequent or severe climate-related events. Understanding individual perceptions of climate risks and adaptive capacities is crucial for developing strategies that promote health resilience and environmental protection. This paper examines how risk perceptions, direct experiences with extreme weather, and perceived adaptive capacities influence climate change protection measures and support for relevant policies. Data were gathered from …

Generative Ai And Llms For Critical Infrastructure Protection: Evaluation Benchmarks, Agentic Ai, Challenges, And Opportunities, Yagmur Yigit, Mohamed Amine Ferrag, Mohamed C. Ghanem, Iqbal H. Sarker, Leandros A. Maglaras, Christos Chrysoulas, Naghmeh Moradpoor, Norbert Tihanyi, Helge Janicke

Research outputs 2022 to 2026

Critical National Infrastructures (CNIs)—including energy grids, water systems, transportation networks, and communication frameworks—are essential to modern society yet face escalating cybersecurity threats. This review paper comprehensively analyzes AI-driven approaches for Critical Infrastructure Protection (CIP). We begin by examining the reliability of CNIs and introduce established benchmarks for evaluating Large Language Models (LLMs) within cybersecurity contexts. Next, we explore core cybersecurity issues, focusing on trust, privacy, resilience, and securability in these vital systems. Building on this foundation, we assess the role of Generative AI and LLMs in enhancing CIP and present insights on applying Agentic AI for proactive defense mechanisms. Finally, …

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 …

Analyzing U.S. Army Recruiter Productivity Through Cohort Differentiation And Behavioral Tendency Composition, Mary M. Bates

Theses and Dissertations

This research analyzes differences among aggregate achievements of U.S. Army recruiting cohorts, determines which behavioral tendencies are indicative of performance level, and investigates aggregate behavioral composition with cohort achievement. Analyses require implementation of OLS regression, ANOVA, Tukey’s Test, Mann-Whitney U test, Holm-Bonferroni adjustment, XGBoost decision tree, logistic regression, and the Kolmogorov-Smirnov test. The results show insignificant achievement differences among cohorts and weak yet prevalent abilities of select measures of behavioral tendencies to indicate recruiter performance.

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 …

Environmental And Cultural Impacts Of The 8.2 Ka Event In Yenikapı (İstanbul/Türkiye), Ayşi̇n Konak, M. Namik Yalçin

Turkish Journal of Earth Sciences

The Neolithic lifestyle, which began in the 12th millennium BP with the emergence of villages in the core region extendingfrom Iran to central and southeastern Anatolia and Syria, began to spread to neighboring geographies, such as the Marmara region,in the 9th millennium BP. During the 8.2 ka event that occurred between 8300 and 7900 BP, cold and dry conditions prevailed in thenorthern hemisphere. During the winter months, the humidity decreased and cooling of about 6 ± 2 °C was observed. In order totest whether the 8.2 ka event was also effective in the İstanbul region, a set of inorganic geochemical …

Characterization Of Thin Marble Slabs Cut With Roman Water-Powered Stone Saw Millsfrom Western Asia Minor, Hakan Elçi̇, Ramazan Hacimustafaoğlu, Serdar Aybek

Turkish Journal of Earth Sciences

This study examined the mineralogical, petrographic, technological, and material properties of thinly cut marble slabs usedin the flooring and cladding of the frigidarium section of a bath constructed in the 2nd century AD in Metropolis, a city that connectedtwo significant centers in Western Asia Minor-Ephesus and Smyrna-during the Roman period. The study also explains the possibletechniques and methods by which these marble slabs could have been cut so thinly. The thickness of the marble slabs used was closelyrelated to their material properties. Bluish grey, with calcite veins with low flexural strength, containing medium to coarse crystallinecalcite veins, and white marbles …

Classification Of Asia Minor Marbles Based On Crystal Size For Archaeometric Assignment, Ramazan Hacimustafaoğlu, Hakan Elçi̇

Turkish Journal of Earth Sciences

This study was carried out to determine the range of crystal sizes of Asia Minor marbles and to classify the marbles accordingto crystal size. Asia Minor marbles have been used as building stones since ancient times. The literature already includes studies on theircrystal sizes; however, different studies performed on marbles of the same locality have reported different crystal size classes, which hascaused complexity. To eliminate this complexity, this study used multidirectional petrographic analyses on the eight known Asia Minormarbles. Thin sections were photographed under a polarizing microscope, and the crystal sizes of the samples were measured usingcomputerized image analysis. An …

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 …

Tailor-Designed Oxalic Acid-Crosslinked Poly(Vinyl Alcohol)/Chitosan Biodegradable Films For Active Food Packaging Applications, Reem Hazem Fathy Anwar Elaasar

Theses and Dissertations

Food packaging plastic waste is posing great threats to ecosystems, human health, and the planet's overall sustainability; therefore, research has been directed towards the fabrication of biodegradable food packaging materials. In this study, active and biodegradable oxalic acid (OA) crosslinked poly(vinyl alcohol) (PVA)/chitosan (CS) composite films of different weight ratios were synthesized via the solvent casting technique and their food packaging properties were investigated. Owing to its water resistance and antibacterial superiority, the composite film with the ratio of OA chemically crosslinked PVA/CS 80:20 was elected to be coated with green tea extract (GTE) to ameliorate its antibacterial and antioxidant …

An Inventory Of Private Well Programs Across The United States, Bethany G. Foust, Ann S. Ojeda, Jessica Curl, Eve Brantley, Stephanie R. Rogers

Journal of Extension

Private well owners comprise approximately 15% of the United States (US) population and are responsible for managing their well water. Management of domestic wells can be burdensome, requires knowledge, and is critical for maintaining clean drinking water. Management resources vary by state and the resource landscape across the US is unclear. Thus, our objective was to inventory where resources exist, while also highlighting geographic areas that may need improved resources to ensure that people have the ability to safely manage their drinking water. Results of this inventory showed that 64% of states have programs; 72% of which were Cooperative Extension.

Promoting Digital Agriculture Adoption In Community-Based Agricultural Organizations, Jean Hardy, Abbey Palmer

Journal of Extension

Existing research and practice related to digital agriculture technology adoption is largely focused on large-scale producers. In this paper, we describe a case of adopting an advanced soil monitoring system in a community-based agricultural organization. We provide guidance for Extension professionals seeking to implement or promote digital agriculture technology adoption on: selecting appropriate technology, incorporating new technology into existing practices, harnessing local technology champions, and avoiding data-driven mission creep.

Non-Orientable Surfaces Bounded By Knots, Megan K. Fairchild

LSU Doctoral Dissertations

The non-orientable 4-genus of a knot $K$ in $S^{3}$ is defined to be the minimum first Betti number of a non-orientable surface $F$ in $B^{4}$ so that $K$ bounds $F$. We will survey the tools used to compute the non-orientable 4-genus, and use various techniques to calculate this invariant for non-alternating 11 crossing knots, torus knots, and Whitehead doubles. We also will view obstructions to a knot bounding a M\"{o}bius band given by the double branched cover of $S^{3}$ branched over $K$. Additionally, we discuss the problem of the Whitehead double of the Figure 8 knot and survey commonly used …

Locational Data And The Public Interest, William A. Herbert, Micahel Goodchild, Richard Appelbaum, Jeremy Crampton, Gary Langham, Krzysztof Janowicz, Mei-Po Kwan, Katina Michael, Lisa Schamess

Publications and Research

This article presents a paper developed by the AAG Organizing Committee on Locational Information and the Public Interest through a summit held in Santa Barbara, California in June 2022. The summit resulted in goals and ideas for addressing the issues that arise from the present environment for geodata, whereby public, private, and third-sector entities can tap into publicly available locational information with relatively little regulation on its access or use. The Committee articulates four goals: (1) develop a research agenda extending across disciplines, (2) outline educational resources and strategies to guide ethical practice, (3) devise a pathway to increase public …

Epr Imaging Workshop: From Theory And Practice To Applications, Arthur H. Heiss, Ralph T. Weber, Sandra S. Eaton, Gareth R. Eaton

TeachEPR Submissions

Methods of imaging and insights from imaging are described. Practical aspects of sample type and dimensions are described.

Workshop presented at the 27th International EPR Symposium, sponsored by Bruker BioSpin EPR Division and the University of Denver, in Denver, Colorado on August 1, 2004.

The Integrated Monitoring Of Karst Systems (Miks) Model, Applied In Karst Studies In Bulgaria, Petar Stefanov, Dilyana Stefanova, Peter Nojarov

International Journal of Speleology

Karst is a widespread natural phenomenon that is highly sensitive and very vulnerable to both natural and various anthropogenic impacts. This is due to the complex structure of karst territories, which comprise both surface forms and complex systems of underground cavities. Therefore, the study of karst requires a geosystem approach and integrated monitoring, which gives a real idea of the state of karst geosystems and the impacts of global changes on karstogenesis. The article presents a model of this approach, which is applied in karst studies in Bulgaria. The methodological basis is the original ProKARSTerra paradigm, based on the geosystem …

Using Walk Audits To Understand Neighborhood Environmental Problems, Megan Heckert, Randall Cream, Christina Rosan

Sustainability Research & Practice Seminar Presentations

Dr. Megan Heckert, Geography and Planning, Dr. Randall Cream, English, and Dr. Tina Rosan, Temple University Geography, Environment, and Urban Studies, present "Using Walk Audits and Storytelling to Understand Neighborhood Environmental Problems".

Smart Cities, Smart Systems: A Comprehensive Review Of System Dynamics Model Applications In Urban Studies In The Big Data Era, Gift Fabolude, Charles Knoble, Anvy Vu, Danlin Yu

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

This paper addresses urban sustainability challenges amid global urbanization, emphasizing the need for innovative approaches aligned with the Sustainable Development Goals. While traditional tools and linear models offer insights, they fall short in presenting a holistic view of complex urban challenges. System dynamics (SD) models that are often utilized to provide holistic, systematic understanding of a research subject, like the urban system, emerge as valuable tools, but data scarcity and theoretical inadequacy pose challenges. The research reviews relevant papers on recent SD model applications in urban sustainability since 2018, categorizing them based on nine key indicators. Among the reviewed papers, …

Environmental Monitoring Report: For Work To Be Performed: July 1, 2023 Through June 30, 2024, Tennessee. Department Of Environment And Conservation

Environmental Monitoring Reports

This FY2024 EMR presents results for independent projects, originally defined in TDEC’s FY2024 Environmental Monitoring Plan (EMP) and subsequently completed over the course of FY2024 period of performance.

Assessing Vegetation Changes And Ecosystem Impacts Of Invasive Species In Florida's Water Conservation Area 3a (2004–2024) Using Landsat Data, Gideon Tandoh

Research, Papers & Creative Work

The spread of invasive species is a concrete problem, threatening biodiversity, ecosystem integrity, and the functional status of wetlands. As these species continue to advance, it is crucial to assess their spread as well as management success through the more sophisticated invasive monitoring methodologies. This research examines the change in vegetation communities and the spread of invasive plants in the Water Conservation Area 3A (WCA-3A) using Object-Based Image Analysis (OBIA) and Support Vector Machine (SVM) classifiers on time series Landsat images. Unlike traditional pixel-based methods, OBIA enhances classification accuracy by incorporating spatial, spectral, and contextual information, enabling precise differentiation between …