Digital Commons Network^™

Phytoplankton Monitoring In Gulf Of Maine As A Signal Of Climate Change Impacts, Nicholas Gosling

UNH Today Archive

No abstract provided.

Denmark’S Depth Model Version 2.0 – Improved Compilation Of Bathymetric Data Within The Danish Waters, Giuseppe Masetti, Philip Sigaard Granding, Kasper Langdahl, Lasse M. Schwenger, Kristian V. Kristmar

Center for Coastal and Ocean Mapping

Denmark’s Depth Model version 2.0 (DDM v2.0) is the latest iteration of a Digital Bathymetric Model (DBM) for Danish waters, offering a grid resolution of 50 meters. The compilation integrates hundreds of survey datasets, including both modern and historical sources, as well as satellite-derived and crowdsourced bathymetric data. The model is referenced to Mean Sea Level (MSL) datum and – due to the adopted compilation process – is not designed for safety of navigation. DDM v2.0 is accessible through the Danish Geodata Agency's website and constitutes a significant contribution to the European Marine Observation and Data Network (EMODnet) Bathymetry initiative.

Simple Steps To Help Beat The Blues This Holiday Season, Robbin Ray

Media Relations

No abstract provided.

University Of New Hampshire 2024-2025 Faculty Senate Xxix - December 9, 2024 Minutes Summary, Faculty Senate

Faculty Senate Agendas & Minutes

No abstract provided.

How Migratory Marine Life Connects Ecosystems From New England To Florida, Nicholas Gosling

UNH Today Archive

No abstract provided.

Characterization Of Sediment-Flow Interactions In Tidally Driven Salt Marsh Environments, Elijah Rousseau

Master's Theses and Capstones

Salt marshes are effective sediment traps and under static sea levels are known to increase in elevation over time. However, current sedimentation rates are insufficiently high to keep up with the estimated sea level rise. Strategies such as the mud motor, which proposes the injection of dredged sediment into incoming flood tides, require a deeper understanding of how tidal flows evolve in complex estuarine systems and how suspended sediment is dispersed and deposited in vegetated environments. Two field deployments occurred in the summer of 2023 to study the mechanisms of sediment transport and accretion along a horizontal marsh transect in …

A Physics-Based Material Model Incorporating Strain Gradient Plasticity Formulations In A Mean-Field Framework To Predict Spatial Fluctuation Of Material Properties, Zhangxi Feng

Doctoral Dissertations

With the market expansions and increasing number of scientific explorations, the demands for manufacturing metallic parts to satisfy specific requirements continue to increase. A slight improvement in the manufacturing process can result in great cost savings in time and energy. The research and development time to identify these areas of improvements can be greatly reduced using numerical models. One such model is the mean-field elastoplastic self-consistent (EPSC) framework studied extensively and advanced in this dissertation. In the past two decades, many material behavior formulations were implemented in EPSC, and the model has shown versatility and accuracy in predicting a wide …

“Why You Understand The Why”: A Qualitative Characterization Of The Metacognitive Competence Of Introductory Stem Peer Coaches, Jonathan Kustina

Doctoral Dissertations

The processes of metacognition are vital for students’ development of critical thinking skills and productive learning mindsets, yet many students never receive the direct instruction that would allow them to formally develop their metacognition. As instructors are typically not providing this instruction, there may be an alternate source to facilitate the learning of metacognition to students. This research study will investigate the viability of having peer coaches, undergraduate peer educators who help facilitate learning and problem solving in introductory STEM courses, facilitate metacognition to their students. Specifically, this research study aims to understand and characterize the metacognitive competence of the …

Engineer-Friendly Synergetic Methodology For Surrogate Modeling Of Complex Connections By Modal-Based Low-Fidelity Finite Element Model Updating Approach, Milad Mehrkash

Doctoral Dissertations

Finite element models are widely used to simulate the behavior of structures. They can also be utilized for structural condition assessment and health monitoring. However, due to software limitations, simplifying assumptions, and lack of knowledge about the system properties, the predictions of the numerical models may deviate from laboratory or field measurements of the actual structure. This issue may be further exacerbated by the simplifications applied in modeling complex connections, which is a common practice in numerical modeling to save time and effort. While finite element model updating improves the accuracy of numerical models, physics-based surrogate modeling of connections balances …

Artificial Intelligence Driven Magnetic Materials Discovery: From Data Extraction To Property Prediction, Yibo Zhang

Doctoral Dissertations

This dissertation presents an integrated artificial intelligence framework aimed at accelerating magnetic materials discovery by addressing key challenges in materials science: improving experimental characterization techniques, efficiently extracting structured data from scientific literature, developing comprehensive materials databases, and creating reliable predictive models.

We first develop a UNet-enhanced vector field electron tomography (VFET) approach for three-dimensional magnetic structure reconstruction. This method addresses the missing wedge problem in experimental data collection while maintaining computational efficiency, providing reliable experimental data crucial for materials research.

We introduce GPTArticleExtractor, a novel workflow leveraging large language models to automatically extract key information from scientific literature. Applied to …

Improving Understanding Of Fluvial Reach-Scale Solute Transport And Uptake Using A Particle Tracking Model And Random Forest Machine Learning Model, Jiaying Liu

Doctoral Dissertations

In addition to transporting flowing water, river systems carry dissolved nutrients and pollutants, which can experience chemical reactions, biological uptake, or retention in surface or hyporheic zones. This dissertation enhances our understanding of solute transport and uptake in river reaches through three main components. The first component involves the development of a novel curve-fitting model designed to capture the characteristics of pulse-release breakthrough curves (BTCs) from tracer studies with conservative solutes. The model, which was found to be applicable to a wide range of field studies, enables the rapid comparison of transport parameters among diverse field studies obtained under a …

Deformation-Induced Bonding Of Glassy Polymeric Films And The Diluent Effect, Ajay Vallabh

Doctoral Dissertations

Bonding between two polymer films can be achieved through various heat- or chemical-based methods. Recently, our group has discovered the novel phenomenon of deformation-induced bonding (DIB) for solid-state glassy polymers in time on the scale of a fraction of a second at ambient temperatures substantially below the bulk glass transition temperatures (T_g). DIB is achieved by bulk plastic compression, which triggers the molecular mobility of polymer chains to cause interpenetration across the interface even in a glassy regime.

First, we performed a series of experiments to evaluate solid-state, deformation-induced bonding in organic polymer blends composed of films of hydroxypropyl methylcellulose …

Characterizing The Usda-Npgs Germplasm Collection Of Tartary Buckwheat (Fagopyrum Tataricum), Noah Joseph Abasciano

Master's Theses and Capstones

AbstractTartary buckwheat (Fagopyrum tataricum) is a promising underutilized crop in the context of New England’s rapidly changing environment (USDA NH State Profile, 2022). Despite substantive prior work on the genetics and nutrition of Tartary buckwheat (Zhang et al., 2017b), many practical questions pertaining to its potential cultivation in New England remain unanswered. This thesis presents the first systematic genotypic and phenotypic screening of the USDA National Plant Germplasm System's (NPGS) Tartary buckwheat germplasm collection in an effort to lay the foundations for future crop improvement efforts. The genotypic assessment of the NPGS Tartary buckwheat germplasm was completed by first bottlenecking …

Feasibility Analysis On Bluff Body Wake Detection Via Cost-Effective Sensors And State And Parameter Estimation Techniques, Patrick Michael Close

Master's Theses and Capstones

This thesis investigates the feasibility of using Uncrewed Aerial Vehicles (UAVs) and existing state estimation techniques for detecting aerodynamic wakes around bluff bodies. Aerodynamic wakes are complex, turbulent flow regions created by obstacles. Accurately measuring these wakes is crucial for applications such as optimizing wind energy production, improving aircraft safety, and enhancing atmospheric research. Traditional measurement methods, such as ground-based sensors or piloted aircraft, have significant limitations, including restricted spatial coverage and high operational costs. UAVs, with their versatility and cost-effectiveness, present an alternative approach to measuring wakes in challenging environments.

This research focuses on three state estimation techniques: the …

Plasticity Characterization Of Sheet Metals Using Torsional In-Plane Shear Testing, Matthew Eaton

Master's Theses and Capstones

In the field of sheet metal forming, it is important to accurately model the plastic stress-strain behavior of materials for use in simulations. Various tests are performed to characterize the plastic behavior, such as plastic anisotropy and strain hardening, which is used to identify material parameters of constitutive models. Shear testing in particular is an area of increasing interest in metal forming applications due to significantly larger strain level compared to uniaxial tension. This thesis aims to design a torsional in-plane shear testing fixture, to characterize the strain hardening and plastic anisotropy in shear for DDQ and DP980 steel sheets, …

2021 Carroll County Advisory Council Minutes And Agendas, Mikayla Cerney

UNH Cooperative Extension

No abstract provided.

Advancements In Ocean Mapping And Nautical Cartography, Giuseppe Masetti, Ian Church, Anand Hiroji, Ove Andersen

Center for Coastal and Ocean Mapping

This Special Issue of Geomatics brings together nine studies, each tackling unique challenges facing ocean mapping. The articles highlight a wide-ranging spectrum of innovations, from automated data processing and high-resolution mapping systems to ecosystem-based planning and machine learning applications for habitat classification. Together, they showcase how diverse, interdisciplinary approaches are essential to advancing oceanography and marine spatial planning, facilitating sustainable development, and contributing to safer and more informed approaches to ocean use.

Biden Appoints Larry Mayer To Chair U.S. Arctic Research Commission, Jeremy Gasowski

UNH Today Archive

No abstract provided.

The Climate Impact Of Tropical Peatland Degradation, René Dommain, Steve Frolking, Aurich Jeltsch-Thömmes, Fortunat Joos, John Couwenberg, Paul Glaser, Alexander Cobb, Charles Harvey

Faculty Publications

Southeast Asia is a global hotspot of peatland degradation and related greenhouse gas emissions. Anthropogenic impacts, mainly associated with agricultural conversion, shift Southeast Asian peatlands from carbon sinks to significant carbon sources. Here we first describe the impacts of anthropogenic drainage on landscape-scale carbon dynamics of individual peatlands and then use an impulse‐response model of radiative forcing to quantify the climate impacts of peat-carbon losses. Whereas water-table elevation (i.e. drainage depth) determines the magnitude of CO2 emissions at the site-scale, the geometric arrangement of artificial drainage networks determines carbon losses on the landscape-scale. Among all peatland greenhouse gas fluxes, the …

Monte Carlo Error Analysis Of Lightning Interferometry With Lofar, Paulina Turekova, Brian Hare, Olaf Scholten, Steven Cummer, Joseph Dwyer, Ningyu Liu, Chris Sterpka, Sander Ter Veen

Faculty Publications

The LOFAR radio telescope works on a principle of radio interferometric imaging. It coherently sums the signal of hundreds of antennas in northern Netherlands, covering the 30-80 MHz window of the very high frequency (VHF) band of 30-300 MHz. We are using the TRI-D algorithm to extract 3-D polarization data of a lightning flash observed by LOFAR. TRI-D functions by coherently summing recorded voltages, accounting for the antenna function, polarization, and geometric time delay for each voxel. The result is split into time slices. A coherent intensity is calculated for each time slice, and the maximum of this value is …

Inter-Calibration Of Solar Orbiter's Heavy Ion Sensor And Suprathermal Ion Spectrograph, Benjamin Alterman, Robert Allen, Ryan Dewey, Stefano Livi, Jim Raines, Susan Lepri, Sarah Spitzer, Chris Bert, Christopher Owen, George Ho, Antoinette Galvin, Lynn M. Kistler, Frederic Allegrini, Keiichi Ogasawara, Peter Wurz, Mark Philips, Raffaella D'Amicis, Glen Mason, Robert F. Wimmer-Schweingruber, Javier Rodriquez-Pacheco

Faculty Publications

The distribution of charged particles in the heliosphere covers more than 16 orders of magnitude in particle flux and more than 6 orders of magnitude in energy. While the majority of these particles are ionized hydrogen (protons) and fully ionized helium (alpha particles), heavier ions are also present. Because of the large parameter space that must be covered, different instruments are required and these instruments must be optimized to specific energy and particle flux ranges. They must also be designed to target specific ion species. To properly characterize the means by which different energy ranges are populated, the observations from …

Monte Carlo Error Analysis Of Lightning Interferometry With Lofar, Paulina Turekova, Brian Hare, Olaf Scholten, Steven Cummer, Joseph Dwyer, Ningyu Liu, Chris Sterpka, Sander Ter Veen

Faculty Publications

The LOFAR radio telescope works on a principle of radio interferometric imaging. It coherently sums the signal of hundreds of antennas in northern Netherlands, covering the 30-80 MHz window of the very high frequency (VHF) band of 30-300 MHz. We are using the TRI-D algorithm to extract 3-D polarization data of a lightning flash observed by LOFAR. TRI-D functions by coherently summing recorded voltages, accounting for the antenna function, polarization, and geometric time delay for each voxel. The result is split into time slices. A coherent intensity is calculated for each time slice, and the maximum of this value is …

The Climate Impact Of Tropical Peatland Degradation, René Dommain, Steve Frolking, Aurich Jeltsch-Thömmes, Fortunat Joos, John Couwenberg, Paul Glaser, Alexander Cobb, Charles Harvey

Faculty Publications

Southeast Asia is a global hotspot of peatland degradation and related greenhouse gas emissions. Anthropogenic impacts, mainly associated with agricultural conversion, shift Southeast Asian peatlands from carbon sinks to significant carbon sources. Here we first describe the impacts of anthropogenic drainage on landscape-scale carbon dynamics of individual peatlands and then use an impulse‐response model of radiative forcing to quantify the climate impacts of peat-carbon losses. Whereas water-table elevation (i.e. drainage depth) determines the magnitude of CO2 emissions at the site-scale, the geometric arrangement of artificial drainage networks determines carbon losses on the landscape-scale. Among all peatland greenhouse gas fluxes, the …

Creative And Sustainable Unh Gifts That Keep On Giving This Holiday Season, Robbin Ray

UNH Today Archive

No abstract provided.

Early Mesoamericans Trapped Fish Far Earlier Than Previously Thought, Robbin Ray

UNH Today Archive

No abstract provided.

Sparked By Passion, Propelled By Skills, Sustainability Institute

Sustainability Institute Blog

No abstract provided.

New Project Turns To Nature For Climate Resilience, Denise Blaha

UNH Today Archive

No abstract provided.

The Suppression Of Ocean Waves By Biogenic Slicks, Nathan J. M. Laxague, Christopher Zappa, Shantanu Soumya, Oliver Wurl

Faculty Publications

Surface waves are significantly damped by biogenic surfactants which accumulate at the ocean's surface from the high latitudes to the tropics. The growth, development, and breaking of short wind-driven surface waves is a key mediator of the air-sea exchange of momentum, heat, and trace gases consequently, the effect of surfactant compounds in the uppermost millimeters of the ocean in damping short surface waves bears on earth's climatic processes. The mechanisms through which surfactants suppress waves have been studied in great detail through careful laboratory experimentation in quasi one-dimensional wave tanks. However, the spatial scales over which this damping occurs in …

From "Open Ocean" To "Exposed Aquaculture": Why And How We Are Changing The Standard Terminology Describing "Offshore Aquaculture", Tyler Sclodnick, Michael Chambers, Barry Antonio Costa-Pierce, Tobias Dewhurst, Nils Goseberg, Kevin Gerald Heasman, Wolf Isbert, Gesche Krause, Daniel Wieczorek, Till Markus, Bela H. Buck

Faculty Publications

The term “offshore” with regards to aquaculture has hitherto encompassed various perspectives, including technology, geographic location, legal jurisdiction, and more. To resolve the ambiguity in this term and understand its implications for current and future aquaculture development, “offshore” should be resolved into two separate metrics: distance from shore and energy exposure. The United Nations Convention on the Law of the Sea (UNCLOS) distinguishes between internal waters, territorial sea, contiguous zone, exclusive economic zone (EEZ), and the high seas, but currently has no precise definition for “offshore” in its provisions, and therefore no applicable laws pertaining to “offshore” aquaculture. Regulating a …

Temperature Anisotropy Instabilities Driven By Intermittent Velocity Shears In The Solar Wind, Simon Opie, Daniel Verscharen, Christopher H K Chen, Christopher J. Owen, Philip A. Isenberg, Luca Sorriso-Valvo, Luca Franci, Lorenzo Matteini

Faculty Publications

Where and under what conditions the transfer of energy between electromagnetic fields and particles takes place in the solar wind remains an open question. We investigate the conditions that promote the growth of kinetic instabilities predicted by linear theory to infer how turbulence and temperature-anisotropy-driven instabilities are interrelated. Using a large dataset from Solar Orbiter, we introduce the radial rate of strain, a novel measure computed from single-spacecraft data, which we interpret as a proxy for the double-adiabatic strain rate. The solar wind exhibits high absolute values of the radial rate of strain at locations with large temperature anisotropy. We …