Sustainability Commons^™

Mineralogical Analysis And Beneficiation Assessment To Unlock The Lithium Potential In Kenticha Pegmatite Ore, Gutema Mekonen, Mulugeta Sisay, Goitom Gebreyohannes

Journal of Sustainable Mining

Lithium is utilized in various industries, especially currently Lithium-ion batteries are employed in electric vehicles and portable electronic devices as an energy source, in pharmaceutical industries, aerospace applications, glass and ceramics production, lubricants and greases, air purification systems, nuclear power, and aluminum production. The Kenticha pegmatite ore deposit in Ethiopia holds potential, and this study analyzed the mineralization of Kenticha spodumene ore and assessed its suitability for beneficiation by employing X-ray diffraction (XRD), Atomic Absorption Spectroscopy (AAS), and petrographic microscope analysis. The study determined the mineral composition, average composition, and texture of spodumene pegmatite ore for spodumene concentrate liberation. Based …

Potential Impact Of Coal Mining And Use For Electricity Generation In Brazil On Global Warming., Marisa Nascimento, Paulo Sergio Moreira Soares

Journal of Sustainable Mining

The study aims to evaluate the potential contribution of coal production for electric power generation in Brazil to greenhouse gases (GHG) emissions, applying life cycle assessment (LCA). The product system studied consists of mining, transportation of the coal to the power station, and power generation. The LCA was first developed only for coal mining in Brazil. Secondly, it was enlarged to include transportation of the coal domestically produced, the hard coal imported, and power generation (Integrated System BR). In the mining stage in Brazil (Brazilian coal), the contribution to the global warming potential was estimated at 237 kg of CO …

Determination Of The Liberation Size Of Mekaneselam Iron Ore In The Southern Wollo Zone, Northern Ethiopia: Implications For Beneficiation, Getahun Meseret, Bisrat Kebede, Belayneh Digafe

Journal of Sustainable Mining

Previous investigations in the target area primarily focused on ore genesis or the geological formations of the ore deposit, neglecting the specific beneficiation aspects associated with the ore. Due to gaps with respect to beneficiation aspects,the research aimed to determine the liberation size of the target iron-bearing ore mineral through mineralogical identification, chemical composition analysis, and examination of the particle size distribution. In this study, various methods were employed, including atomic absorption spectrometry (AAS), X-ray fluorescence (X-RF), X-ray diffraction (XRD) analysis, and sieve analysis. The chemical composition analysis of Mekaneselam iron ore revealed significant amount of 16.55–77.59 % Fe2O3, 7.31–59.02% …

Leveraging Intrinsic Properties For Classification Of Coal Seams Towards Spontaneous Combustion Proclivity And Predicting Susceptibility Using Machine Learning: Smart And Sustainable Mining Approach, Siddhartha Agarwal, Pradeep K. Gautam, Yuhao Zou, Rishabh Dwivedi, D.C. Panigrahi, C. Dagli, Atul Singh

Journal of Sustainable Mining

Mine fires and other hazards caused by spontaneous coal combustion are a pervasive and longstanding issue in Jharia coalfields, India. This study proposes a novel approach to classify coal seams based on their propensity to spontaneous combustion using the intrinsic properties of 30 coal samples from different seams. This method eliminates the need for expensive and time-consuming experimental determinations of susceptibility indices (SI) such as crossing point temperature (CPT), critical air blast (CAB), and differential thermal analysis (DTA). All clustering models, viz. hierarchical, k-means, and multidimensional scaling, aptly classify coal seams into three categories: highly risky, medium risky, and low …

A Dynamic Intuitionistic Fuzzy Group Decision Analysis For Sustainability Risk Assessment In Surface Mining Operation Projects, Mohammad Panahi Borujeni, Arash Behzadipour, Hossein Gitinavard

Journal of Sustainable Mining

With the increasing advancement of technology and science in the fields of engineering, different industries have different benefits that can help the global community in areas related to social, environmental, and economic requirements. The mining industry is one of the suitable sources of wealth production in different societies, which leads different societies to appropriate profitability. In this regard, one of the challenges facing managers and decision-makers is not related to financial challenges and risks. This research uses the dynamic intuitionistic fuzzy entropy method to compute the criteria weights, and the dynamic intuitionistic fuzzy maximizing similarity (DIF-SM) approach to compute the …

An Automated Integrated Web-Based Smart Tool For Open Stope Design, Yerkezhan Madenova, Fidelis Suorineni, Shuai Xu

Journal of Sustainable Mining

The Stability Graph is a widely used tool for the design of open stopes in underground mining. Many users of the Stability Graph still apply this design method manually. Although the manual approach has benefits, using multiple graphs and stability number computation charts for each stope surface is time-consuming, even for the experienced mining engineer. Current practice in the use of the method also limits data sharing. This paper presents a StopeSoft web-based tool for open stope stability prediction that is developed on the basis of the Stability Graph method and is available at openstope.com. StopeSoft incorporates flexibility in terms …

Carbon Capture Deployment In U.S. Upstream Oil Fields: Engineering Feasibility And National Impact, Rebecca Gaisie

Student Research Submissions

The upstream oil and gas sector is a major contributor to greenhouse gas emissions in the United States, particularly from extraction and initial processing activities. As the country accelerates its climate action under the Inflation Reduction Act and Net-Zero 2050 targets, carbon capture and storage (CCS) is increasingly viewed as a critical pathway for emissions mitigation in fossil fuel operations. This study investigates the technical and economic feasibility of deploying CCS technologies in U.S. upstream oil fields, using case studies from ExxonMobil-operated sites in Wyoming and Texas. A techno-economic analysis is conducted to evaluate carbon capture potential, energy requirements, infrastructure …

Influence Of Biochar On Rooting And Establishment Of Chamaecyparis And Thuga Species, Megan Mudd

Masters Theses & Specialist Projects

This study investigated the effects of biochar amendment on the rooting and establishment of evergreen propagules, thus addressing the critical need for improved nutrient use efficiency and water retention in containerized substrates within the horticulture and floriculture industry. Biochar, a product of biomass pyrolysis, offers promising potential due to its high porosity and surface area, which contribute to enhanced soil fertility and water retention. Two experiments were conducted, one in a greenhouse and the other in a cold frame, using cuttings from Chamaecyparis obtusa, Chamaecyparis pisifera ‘Vintage Gold’, and Thuja occidentalis ‘Emerald Green’. Treatments included varying percentages of biochar …

Projecting The Loss Of Shark Tooth Island From Sea Level Rise And Land Subsidence, Katherine L. Stoneman, Holly Anthony

Research and Creativity Symposium

Shark Tooth Island, a popular recreational location on the Virginia side of the lower Potomac River, is disappearing. The causes include sea level rise, groundwater withdrawal, and isostatic adjustment. Given the island’s popularity, this presents a unique opportunity to educate the public about real impacts of climate change in a region with climate change denialism.

The Rhythm Of Renewables: Minute-By-Minute Insights From Kentucky, David S. Beyerle, Noah M. Stewart, Shaun E. Lavin, Chad C. Alkire, Heather Nikolic, Samuel Kelty, Ezekiel A. Boggs, Declan Boyle, Lawrence E. Holloway, Aron Patrick

Electrical and Computer Engineering Faculty Publications

Kentucky’s renewable energy landscape beats with a distinct rhythm shaped by ever-changing variations in sunlight, wind, rainfall, and the ever-modernizing grid that connects them. This paper analyzes minute-by-minute performance data from seven renewable and storage assets owned and operated by the PPL Corporation in Kentucky, including hydroelectric, solar, wind, and lithium-ion battery systems. Using a full year of synchronized, high-resolution data from multiple sites in the Commonwealth, the study examines daily and seasonal capacity factor trends, explores correlations among generation types, and evaluates their alignment with utility load profiles. Our analysis found 279 hours—about 3.2% of the year—with zero renewable …

Modeling Wild Rice Bed Health: A Dual Metric Approach For Bed Strength And Invasive Impact, Seth Sisneros-Martinez

Journal of Earth and Life Science

Wild rice (mannoomin; Zizania palustris) is an aquatic grain that grows in slow-moving rivers and shallow bays throughout northern Minnesota. In Headquarters Bay on Leech Lake, wild rice has served as a cultural staple for Indigenous communities for centuries. However, its population has declined in recent years due to multiple environmental issues. One potential contributor is Eurasian watermilfoil (Myriophyllum spicatum; EWM), an invasive species that forms dense mats capable of outcompeting native aquatic vegetation, including wild rice. EWM was first recorded on the southern shoreline of Leech Lake in 2005 and has since become widespread. This study …

Citizen’S Rare Plant Watch, Nora Dunkirk, Gabriel Campbell, Kris Freitag

Rae Selling Berry Seed Bank and Plant Conservation Program

Rare species data for plants is lacking, hindering land management decisions and conservation outcomes. With Citizen's Rare Plant Watch, we empower citizen scientists to provide the “eyes on the ground” and collect data needed for conservation decision making in Oregon.

Seedlings Of Pacific Northwest Plants: A Photographic Guide, Gabriel E. Campbell-Martinez, Roxy Olsson

Rae Selling Berry Seed Bank and Plant Conservation Program

This document presents a visual, non-technical field guide of native and exotic/invasive seedlings that grow wild in the Pacific Northwest. It contains over 550 taxa representing a broad range of families and ecosystems, focusing on species that occur in Oregon and Washington. Species were selected to reflect ecological importance, frequency of occurrence, and relevance to land management, restoration, and conservation. It is intended for a broad audience, including restoration practitioners, land managers, botanists, ecologists, students, naturalists, and others interested in identifying plants at early life stages.

The Effect Of Zebra Mussels On Minnesota Fish Communities, Benjamin D. Strei

Journal of Earth and Life Science

Zebra mussels Dreissena polymorpha are an aquatic invasive species that has been spreading quickly throughout Minnesota water bodies since 1989. Zebra mussels are known to change certain morphological conditions in lakes such as turbidity, phytoplankton abundance, and aquatic invertebrate populations. However, studies showing impacts of the infestation of zebra mussels on the health of a fish community have been hard to prove due to a lack of repeated surveys and a suite of other confounding variables such as natural and seasonal variability, plant community, and lake morphometry. Therefore, the objective of this study is to determine whether zebra mussels have …

Sptiotemporal Changes In Aboveground Biomass, Canopy Cover And Livestock Movements Across Mongolia Grasslands, Abhinav Chandel

Dissertations and Theses

This study presents an integrated geospatial framework for understanding grassland productivity dynamics and livestock movement behavior across the Mongolian steppe. Mongolia’s grasslands constitute one of the world’s largest pastoral ecosystems, yet they face increasing vulnerability due to climate variability, overgrazing, and land degradation. To quantify vegetation change and grazing responses, this research combines multi-decadal remote sensing with high-frequency GPS-based livestock movement tracking. Using Landsat imagery from 1990 to 2023, Aboveground Biomass (AGB) and Canopy Cover (CC) were estimated through Random Forest regression models integrating key spectral vegetation indices (e.g., NDVI, OSAVI, CTVI, TNDVI, IPVI) and climatic predictors such as summer …

The Economic And Environmental Impact Of Shinkansen And High-Speed Rail Infrastructure: A Comparative Analysis Of Economic Growth And Carbon Emissions Reduction, Dillan R. Victory

SPARK Symposium Presentations

The development of Japan's high-speed rail system, the Shinkansen, has played a pivotal role in the country's post-war economic resurgence. Introduced in 1964 with the Tokaidō Shinkansen, this transformative infrastructure investment significantly reduced travel times, bolstered economic activity around station hubs, and facilitated regional development by enabling urban decentralization. This paper explores the long-term economic benefits of high-speed rail, including its impact on land value, business expansion, and carbon emissions. The case study of the Linear Chuo Shinkansen, Japan's latest maglev project, underscores both the economic promise and the political resistance to expansion, particularly in regions such as Shizuoka.

Using …

Navigating Wastewater: Minnesota Mining Wastewater Permit Challenges And Evolving Compliance Standards, Madelaine Adamich

Journal of Earth and Life Science

February of 2021 marked the beginning of Minnesota clearly establishing that groundwater qualifies as a Class 1 water in a legal battle involving United States Steel, the Minnesota Pollution Control Agency, WaterLegacy, Fond du Lac Band of Lake Superior Chippewa, the Minnesota Court of Appeals, and eventually the Minnesota Supreme Court (MNSC). Minnesota has a water classification system, as required by the federal Clean Water Act, with 7 classes of use. Class 1 waters are waters used for domestic consumption (MPCA 4, n.d.). According to Minnesota Statute § 7050.0220, the acceptable level for sulfate is 250 mg/L in Class 1 …

Aquatic Invertebrate Populations In Roadside Wetlands In Relation To Water Characteristics, Ellen P. Isakson

Journal of Earth and Life Science

The continual habitat destruction and draining of wetland systems makes the need to understand the ecology of roadside wetlands all the more necessary. Roadside wetlands provide valuable habitat to countless aquatic invertebrates, which can provide insight into the health of the wetland system due to their diversity. The objective of this study was to analyze the populations of aquatic invertebrates in roadside wetlands in relation to water characteristics such as pH, salinity, conductivity, water depth and temperature, and dissolved oxygen. This was done by collecting samples of invertebrate populations from roadside wetlands, in addition to data on water quality characteristics …

Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast, Emmanuella Bosompemaa Obeng

College of Graduate Studies: Theses & Dissertations

Salt marshes, essential for coastal protection and carbon sequestration, are increasingly vulnerable to dieback events, threatening ecosystem resilience and vital services. Detecting these shifts early is essential for timely intervention. However, few studies have applied Early Warning Signals (EWS) to coastal marsh systems. Most EWS research has focused on lakes, forests, or climate tipping points, with limited application to salt marsh dieback in the southeastern U.S. Site-specific, long-term spatial analyses are also lacking, as prior work often examines short time frames or single disturbance events. This study investigates the spatiotemporal patterns of salt marsh dieback on the Georgia coast from …

Artificial Intelligence And Environmental Sustainability: Review And Research Directions, Troy Strader, Yu-Hsiang (John) Huang, Yu-Ju Tu

Journal of International Technology and Information Management

Environmental sustainability is one of the most important and complex issues currently facing our global society. One solution to some aspects of this problem could come from artificially intelligent systems and data analytics methods. The objective for this study is to identify the range of recently published research that addresses issues involving the convergence of artificial intelligence (AI) and environmental sustainability. A systematic literature review produced a sample of 62 journal articles from 2018-2024 that were each categorized into one of six research themes that included studies of AI and the ways in which it impacted natural resources, energy and …