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Articles 30031 - 30060 of 291692

Full-Text Articles in Physical Sciences and Mathematics

Genesis Of Efficient Reservoirs In Mixed Sedimentary Setting: A Case Study Of Benxi Formation In The Gaoqiao Area, Ordos Basin, Shu Liu, Jinbu Li, Fengbo Jin, Haifeng Liu, Meng Wang, Yulin Cheng, Yulin Cheng, Xiaohong Zhong, Hao Lu Jan 2024

Genesis Of Efficient Reservoirs In Mixed Sedimentary Setting: A Case Study Of Benxi Formation In The Gaoqiao Area, Ordos Basin, Shu Liu, Jinbu Li, Fengbo Jin, Haifeng Liu, Meng Wang, Yulin Cheng, Yulin Cheng, Xiaohong Zhong, Hao Lu

Turkish Journal of Earth Sciences

The Benxi-Taiyuan Formation in the southern region of the Ordos Basin represents a typical mixed sedimentary system, which has witnessed recent breakthroughs in the exploration of tight sandstone gas within the Benxi Formation. However, the development patterns of reservoirs in this mixed sedimentary area remain unclear, influenced by the sedimentary model and the distribution scale of sedimentary sandstone bodies. This study investigates the paleogeomorphology, sedimentary model, sandstone body type, petrological characteristics, and pore structure of the Benxi Formation. Field profiles, drilling core observations, microscopic section analysis, scanning electron microscopy (SEM), high-pressure mercury injection (HPMI), and physical property analysis are employed. …

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Mineralogical And Geochemical Characteristics Of The Upper Cretaceous And Lower Paleocene Parts Of The Germav Formation: Southeastern Türkiye, Sema Teti̇ker Jan 2024

Mineralogical And Geochemical Characteristics Of The Upper Cretaceous And Lower Paleocene Parts Of The Germav Formation: Southeastern Türkiye, Sema Teti̇ker

Turkish Journal of Earth Sciences

The mineralogical and chemical characteristics of Upper Cretaceous-Lower Paleocene claystone sediment samples taken from Mardin and Batman, located in southeastern Türkiye, were analyzed in the present study. The clay mineral paragenesis in the Upper Cretaceous units consisted of chlorite-smectite (C-S) and illite, whereas the Lower Paleocene unit consisted of chlorite-vermiculite (CV) and vermiculite minerals. Analyses conducted on clay samples indicated high levels of Al, Mg, Fe, Cr, V, Ni, and Zr. Low levels of alkali and alkaline earth elements (Mg, Na, Ca, K) in the clay-rich sediments suggest relatively high-grade weathering in the source area. The mineralogical compositions, major elemental …

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Landslide Susceptibility Assessment Of The Asi Watershed, Southern Türkiye, Senem Teki̇n, Adolfo Quesada Román, Tolga Çan Jan 2024

Landslide Susceptibility Assessment Of The Asi Watershed, Southern Türkiye, Senem Teki̇n, Adolfo Quesada Román, Tolga Çan

Turkish Journal of Earth Sciences

Landslides constitute recurrent natural hazards worldwide with greater socioeconomic impacts in low-income places. Landslide susceptibility studies are carried out to determine the potential for landslides to occur in a region, to predict possible risks in the future and to integrate this information into sustainable planning and management strategies. Slip-type landslides occur in limited areas of less than 1% of the Asi watershed in Southern Türkiye. Therefore, meaningful estimations cannot be made with classical statistical models. So, using the maximum entropy approach (MaxEnt), a technique for estimating based on a small number of observations, a landslide susceptibility assessment was constructed. The …

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An Experimental Investigation On The Discrete Poisson’S Upward Continuation Of Anomalous Gravity Field Data, Mehmet Si̇mav, Bi̇hter Erol, Muhammet Aki̇f Gülender, Serdar Erol Jan 2024

An Experimental Investigation On The Discrete Poisson’S Upward Continuation Of Anomalous Gravity Field Data, Mehmet Si̇mav, Bi̇hter Erol, Muhammet Aki̇f Gülender, Serdar Erol

Turkish Journal of Earth Sciences

The Poisson upward continuation of gravity field functionals, typically given on the Earth’s irregular topography with limited spatial extent, necessitates some proper treatments due to the theoretical requirements. This study reviews the Poisson theory and investigates a more rigorous methodology for the numerical solution of the spherical integral equation by addressing many issues such as spherical-Earth model implementation, far-zone effect, Poisson kernel modification, and suitable ground data reduction scheme. We first explore the far-zone effect and search for an optimal near-zone spherical cap radius above which the truncation error is negligible. We then compare different variants of remove-restore technique with …

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Triberta And Beyond: Redefining Entity Resolution With Large Language Models, Bi Foua Jan 2024

Triberta And Beyond: Redefining Entity Resolution With Large Language Models, Bi Foua

Theses and Dissertations

Entity resolution (ER) plays a pivotal role across domains by enabling data integration and quality improvement. This dissertation delves into the evolving landscape of ER, introducing innovative approaches that redefine this fundamental task. The first contribution is TriBERTa, a novel representation learning model tailored for ER. TriBERTa sets new benchmarks in entity matching and demonstrates versatility across ER processes like data blocking and resolution. Empirical evaluations on diverse datasets showcase TriBERTa’s superior performance over existing representations, including from large language models. The second contribution explores the use generative language models like GPT-3.5 and Dolly 2.0 for cross-domain entity matching using …

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The Outburst Probability Index (Ww) As A New Tool In The Coal Seam Outburst Hazard Forecasting, Marcin Dreger, Piotr Celary Jan 2024

The Outburst Probability Index (Ww) As A New Tool In The Coal Seam Outburst Hazard Forecasting, Marcin Dreger, Piotr Celary

Journal of Sustainable Mining

Gas and rock outbursts are one of the most unpredictable natural hazards in Polish and worldwide underground mining. The complexity and unpredictability of this phenomenon make forecasting and underground prevention difficult to achieve. Gas-geodynamic phenomenon occurs in greater intensity in the southern part of the Upper Silesian Coal Basin (USCB) – close to the Bzie-Czechowice fault zone. The relatively low firmness of coal combined with high methane content and pressure may result in a coal seam outburst. To forecast the gas and rock outburst occurrence, the sorption capacity and gas diffusion parameters are used in Polish coal mining. To provide …

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Rational Design Of Heterostructured Nanomaterials For Accelerating Electrocatalytic Hydrogen Evolution Reaction Kinetics In Alkaline Media, Hai-Bin Ma, Xiao-Yan Zhou, Jia-Yi Li, Hong-Fei Cheng, Ji-Wei Ma Jan 2024

Rational Design Of Heterostructured Nanomaterials For Accelerating Electrocatalytic Hydrogen Evolution Reaction Kinetics In Alkaline Media, Hai-Bin Ma, Xiao-Yan Zhou, Jia-Yi Li, Hong-Fei Cheng, Ji-Wei Ma

Journal of Electrochemistry

Owing to the merits of high energy density, as well as clean and sustainable properties, hydrogen has been deemed to be a prominent alternative energy to traditional fossil fuels. Electrocatalytic hydrogen evolution reaction (HER) has been considered to be mostly promising for achieving green hydrogen production, and has been widely studied in acidic and alkaline solutions. In particular, HER in alkaline media has high potential to achieve large-scale hydrogen production because of the increased durability of electrode materials. However, for the currently most prominent catalyst Pt, its HER kinetics in an alkaline solution is generally 2–3 orders lower than that …

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Monodispersed Cu-Tcpp/Cu2O Hybrid Microspheres: A Superior Cascade Electrocatalyst Toward Co2 Reduction To C2 Products, Zi-Xuan Wan, Aidar Kuchkaev, Dmitry Yakhvarov, Xiong-Wu Kang Jan 2024

Monodispersed Cu-Tcpp/Cu2O Hybrid Microspheres: A Superior Cascade Electrocatalyst Toward Co2 Reduction To C2 Products, Zi-Xuan Wan, Aidar Kuchkaev, Dmitry Yakhvarov, Xiong-Wu Kang

Journal of Electrochemistry

The electrochemical conversion of carbon dioxide (CO2) into valuable chemicals is a feasible way to mitigate the negative impacts of overmuch CO2 emissions. Porphyrin-based metal organic frameworks (MOFs) are expected to be used for selective and efficient electrochemical CO2 reduction (ECR) with porous structure and ordered active sites. Herein, we report the synthesis of a monodispersed and spherical organic/inorganic hybrid Cu-TCPP@Cu2O electrocatalyst composed of Cu-TCPP (TCPP=tetrakis (4-carboxyphenyl) porphyrin) and Cu2O, where TCPP plays significant roles in regulating the morphology. In-situ formed Cu during ECR process in combination with Cu-TCPP (Cu-TCPP@Cu) can suppress …

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Stability Of A Solid Oxide Cell Stack Under Direct Internal-Reforming Of Hydrogen-Blended Methane, Ya-Fei Tang, An-Qi Wu, Bei-Bei Han, Hua Liu, Shan-Jun Bao, Wang-Lin Lin, Ming Chen, Wan-Bing Guan, Subhash C. Singhal Jan 2024

Stability Of A Solid Oxide Cell Stack Under Direct Internal-Reforming Of Hydrogen-Blended Methane, Ya-Fei Tang, An-Qi Wu, Bei-Bei Han, Hua Liu, Shan-Jun Bao, Wang-Lin Lin, Ming Chen, Wan-Bing Guan, Subhash C. Singhal

Journal of Electrochemistry

In this work, the long-term stability and degradation mechanism of a direct internal-reforming solid oxide fuel cell stack (IR-SOFC stack) using hydrogen-blended methane steam reforming were investigated. An overall degradation rate of 2.3%·kh–1 was found after the stack was operated for 3000 hours, indicating a good long-term stability. However, the voltages of the two cells in the stack were increased at the rates of 3.38 mV·kh–1 and 3.78 mV·kh–1, while the area specific resistances of the three metal interconnects in the stack were increased to 0.276 Ω·cm2, 0.254 Ω·cm2 and 0.249 Ω·cm2 …

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Natural Language Processing Analysis Of Online Reviews For Small Business: Extracting Insight From Small Corpora, Benjamin J. Mccloskey, Phillip M. Lacasse, Bruce A. Cox Jan 2024

Natural Language Processing Analysis Of Online Reviews For Small Business: Extracting Insight From Small Corpora, Benjamin J. Mccloskey, Phillip M. Lacasse, Bruce A. Cox

Faculty Publications

Receiving and acting on customer input is essential to sustaining and growing any service organization, particularly a small family business whose livelihood depends on strong relationships with its customers. The competitive advantage offered by advanced analytical approaches for supporting decisions is not trivial, and enterprises across virtually all domains of society are investing heavily in this emerging discipline. Natural Language Processing (NLP) is a subset of computer science that employs computational approaches to analyze human language; it is effective at extracting insight from text data but frequently requires large corpora to train its models, in the scale of thousands or …

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Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) 2022 Draft Final Insufficiently Reclaimed Sites Sampling: Bres No. 158 Site Evaluation Summary Report (Dated November 21, 2024), Molly Roby Jan 2024

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) 2022 Draft Final Insufficiently Reclaimed Sites Sampling: Bres No. 158 Site Evaluation Summary Report (Dated November 21, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian Jan 2024

De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The discovery of novel therapeutic compounds through de novo drug design represents a critical challenge in the field of pharmaceutical research. Traditional drug discovery approaches are often resource intensive and time consuming, leading researchers to explore innovative methods that harness the power of deep learning and reinforcement learning techniques. Here, we introduce a novel drug design approach called drugAI that leverages the Encoder–Decoder Transformer architecture in tandem with Reinforcement Learning via a Monte Carlo Tree Search (RL-MCTS) to expedite the process of drug discovery while ensuring the production of valid small molecules with drug-like characteristics and strong binding affinities towards …

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Advancing Cognitive Accessibility: The Role Of Artificial Intelligence In Enhancing Inclusivity, Rukiya Deetjen-Ruiz, Marjorie P Daniel, Jennie Telus, Lodz Deetjen Jan 2024

Advancing Cognitive Accessibility: The Role Of Artificial Intelligence In Enhancing Inclusivity, Rukiya Deetjen-Ruiz, Marjorie P Daniel, Jennie Telus, Lodz Deetjen

All Works

This editorial examines the transformative role of Artificial Intelligence (AI) in enhancing cognitive accessibility for neurodiverse individuals. It explores the evolution from conventional assistive technologies to sophisticated AI-driven solutions, highlighting how these advancements are reshaping inclusivity in education and the workplace. The piece critically analyzes the benefits and challenges of AI in this context, considering ethical implications, user-centered design, and the need for equitable access. It concludes with a call to action for continued innovation and collaboration in developing AI technologies that truly cater to the diverse needs of neurodiverse individuals.

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A Tale Of Two Viruses: Why Smallpox Was Eradicated And Polio Persists, Katherine G. Mcgough, Erin N. Bodine Jan 2024

A Tale Of Two Viruses: Why Smallpox Was Eradicated And Polio Persists, Katherine G. Mcgough, Erin N. Bodine

Spora: A Journal of Biomathematics

The smallpox and poliomyelitis (polio) viruses were, at a time, one of the largest threats to global public health killing millions until global eradication campaigns were put into effect. Vaccination led to the eradication of smallpox and the elimination of polio for most of the world. However, polio continues to persist at endemic levels in Pakistan and Afghanistan. We developed ODE models of smallpox and polio to explore differences in transmission dynamics and determine if the underlying biology has made poliomyelitis more difficult to eradicate. Our model analysis shows there are multiple factors which should allow polio to have a …

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A Multi-Criteria Decision Making Model For Sustainable And Resilient Supplier Selection And Management, Samah Ibrahim Abdel Aal Jan 2024

A Multi-Criteria Decision Making Model For Sustainable And Resilient Supplier Selection And Management, Samah Ibrahim Abdel Aal

Neutrosophic Systems with Applications

Sustainable and resilient supplier selection and management are essential to building environmentally responsible and resilient supply chains. Selecting sustainable and resilient suppliers enables organizations to ensure the long-term viability of the supply chain. To do that, there is a need to identify suitable suppliers that align with sustainability and resilience goals. This study aims to provide an overview of the requirements and criteria for selecting and managing sustainable and resilient suppliers and emphasizes the significance of integrating sustainability and resilience principles throughout the supply chain. Multi-criteria decision-making (MCDM) is used to deal with various criteria. The double normalization-based multi-aggregation (DNMA) …

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Foundation Of Appurtenance And Inclusion Equations For Constructing The Operations Of Neutrosophic Numbers Needed In Neutrosophic Statistics, Florentin Smarandache Jan 2024

Foundation Of Appurtenance And Inclusion Equations For Constructing The Operations Of Neutrosophic Numbers Needed In Neutrosophic Statistics, Florentin Smarandache

Neutrosophic Systems with Applications

We introduce for the first time the appurtenance equation and inclusion equation, which help in understanding the operations with neutrosophic numbers within the frame of neutrosophic statistics. The way of solving them resembles the equations whose coefficients are sets (not single numbers).

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Analyzing Novel Metal Alloys For Glucose Sensing And Electrocatalysis, Anna Grace Boddy Jan 2024

Analyzing Novel Metal Alloys For Glucose Sensing And Electrocatalysis, Anna Grace Boddy

Theses and Dissertations

In pharmaceutical and medicinal chemistry, metals and metal alloys often receive less attention compared to biological or organic compounds due to many factors including toxicity in the body for drug development or the cost of these metals. However, metals can play an important role in pharmaceuticals, having an impact on original cancer drugs, such as platinum used for head and neck tumors. Electrocatalysis is also another topic that receives less attention over topics such as chromatography in pharmaceuticals due to its potential toxic catalysts and voltages that could be harmful to the body. Electrocatalytic sensors can play an important role …

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Generalized Splines On Graphs With Two Labels And Polynomial Splines On Cycles, Portia Anderson, Jacob P. Matherne, Julianna Tymoczko Jan 2024

Generalized Splines On Graphs With Two Labels And Polynomial Splines On Cycles, Portia Anderson, Jacob P. Matherne, Julianna Tymoczko

Mathematics Sciences: Faculty Publications

Generalized splines are an algebraic combinatorial framework that generalizes and unifies various established concepts across different fields, most notably the classical notion of splines and the topological notion of GKM theory. The for- mer consists of piecewise polynomials on a combinatorial geometric object like a polytope, whose polynomial pieces agree to a specified degree of differentiability. The latter is a graph-theoretic construction of torus-equivariant cohomology that Shareshian and Wachs used to reformulate the well-known Stanley–Stembridge con- jecture, a reformulation that was recently proven to hold by Brosnan and Chow and independently Guay-Paquet. This paper focuses on the theory of generalized …

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Design And Building Of A Customizable, Single-Objective, Light-Sheet Fluorescence Microscope For The Visualization Of Cytoskeleton Networks, Nathan Felcher, Daisy H. Achiriloaie, Brian Lee, Ryan Mcgorty Phd, Janet Sheung Jan 2024

Design And Building Of A Customizable, Single-Objective, Light-Sheet Fluorescence Microscope For The Visualization Of Cytoskeleton Networks, Nathan Felcher, Daisy H. Achiriloaie, Brian Lee, Ryan Mcgorty Phd, Janet Sheung

Physics and Biophysics: Faculty Scholarship

Reconstituted cytoskeleton composites have emerged as a valuable model system for studying non-equilibrium soft matter. The faithful capture of the dynamics of these 3D, dense networks calls for optical sectioning, which is often associated with fluorescence confocal microscopes. However, recent developments in light-sheet fluorescence microscopy (LSFM) have established it as a cost-effective and, at times, superior alternative. To make LSFM accessible to cytoskeleton researchers less familiar with optics, we present a step-by-step beginner's guide to building a versatile light-sheet fluorescence microscope from off-the-shelf components. To enable sample mounting with traditional slide samples, this LSFM follows the single-objective light-sheet (SOLS) design, …

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A Multi-Criteria Decision Making Model For Sustainable And Resilient Supplier Selection And Management, Samah Ibrahim Abdel Aal Jan 2024

A Multi-Criteria Decision Making Model For Sustainable And Resilient Supplier Selection And Management, Samah Ibrahim Abdel Aal

Neutrosophic Systems with Applications

Sustainable and resilient supplier selection and management are essential to building environmentally responsible and resilient supply chains. Selecting sustainable and resilient suppliers enables organizations to ensure the long-term viability of the supply chain. To do that, there is a need to identify suitable suppliers that align with sustainability and resilience goals. This study aims to provide an overview of the requirements and criteria for selecting and managing sustainable and resilient suppliers and emphasizes the significance of integrating sustainability and resilience principles throughout the supply chain. Multi-criteria decision-making (MCDM) is used to deal with various criteria. The double normalization-based multi-aggregation (DNMA) …

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Foundation Of Appurtenance And Inclusion Equations For Constructing The Operations Of Neutrosophic Numbers Needed In Neutrosophic Statistics, Florentin Smarandache Jan 2024

Foundation Of Appurtenance And Inclusion Equations For Constructing The Operations Of Neutrosophic Numbers Needed In Neutrosophic Statistics, Florentin Smarandache

Neutrosophic Systems with Applications

We introduce for the first time the appurtenance equation and inclusion equation, which help in understanding the operations with neutrosophic numbers within the frame of neutrosophic statistics. The way of solving them resembles the equations whose coefficients are sets (not single numbers).

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Covariant Anyons Via Mackey Machinery, Radhakrishnan Balu Jan 2024

Covariant Anyons Via Mackey Machinery, Radhakrishnan Balu

Journal of Stochastic Analysis

No abstract provided.

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Rad-⊕-Supplemented Semimodules Over Semirings, Ahmed H. Alwan Jan 2024

Rad-⊕-Supplemented Semimodules Over Semirings, Ahmed H. Alwan

Al-Bahir

. In this paper, Rad-⊕-supplemented semimodules are defined as generalization of ⊕-supplemented semimodules. Let R be a semiring. An R-semimodule A is called a Rad-⊕-supplemented semimodule, if each subsemimodule of A has a Rad-supplement which is a direct summand of A. Here, we investigate some properties of these semimodules and generalize some results on Rad-⊕-supplemented modules to semimodules. We prove that any finite direct sum of Rad-⊕-supplemented semimodules is Rad-⊕-supplemented. Also, we prove that if A is a subtractive semimodule with (D3) then A is Rad-⊕-supplemented if and only if every direct summand to A is …

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Anthropomorphism And Human-Robot Interaction, Rae Yule Kim Jan 2024

Anthropomorphism And Human-Robot Interaction, Rae Yule Kim

Department of Economics Faculty Scholarship and Creative Works

Exploring how human appreciation for and interactions with robots are influenced by anthropomorphic features.

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Unveiling Efficiency: Investigating Distance Measures In Wastewater Treatment Using Interval-Valued Neutrosophic Fuzzy Soft Set, Muhammad Saeed, Kinza Kareem, Fatima Razzaq, Muhammad Saqlain Jan 2024

Unveiling Efficiency: Investigating Distance Measures In Wastewater Treatment Using Interval-Valued Neutrosophic Fuzzy Soft Set, Muhammad Saeed, Kinza Kareem, Fatima Razzaq, Muhammad Saqlain

Neutrosophic Systems with Applications

To reduce the threats that wastewater poses to human health and the environment, water treatment techniques must be improved. The use of a procedure that includes preparation, testing, primary and secondary treatments, filtration, disinfection, and continuous monitoring is therefore required. The objective of this research is to create a hybrid notion that extends the idea of an interval-valued neutrosophic fuzzy soft set (IVNFSS) to an interval-valued neutrosophic fuzzy set. Operations like complement, union, and integration are included in the idea. To improve decision-making accuracy, a quality-assessment distance measure is incorporated, offering a numerical representation of the disparity between various factors. …

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Dating Methods For Travertine And Siliceous Sinter In Geothermal Systems: Progress And Applications, Li Bin, Li Yiman, Pang Zhonghe, Huang Tianming, Gao Binbin Jan 2024

Dating Methods For Travertine And Siliceous Sinter In Geothermal Systems: Progress And Applications, Li Bin, Li Yiman, Pang Zhonghe, Huang Tianming, Gao Binbin

Coal Geology & Exploration

Sinters of geothermal system are usually dominated by travertine and siliceous sinter. With rich information on multi-temporal and spatial scales, they can be used to restore paleohydrological and paleoclimatic histories, reconstruct the evolutionary process of regional hydrothermal activity, and constrain tectonic modes. Accurate dating of sinters is the basis of relevant researches. Common dating methods include radiocarbon dating (based on inorganic and organic carbon), uranium series disequilibrium dating, cosmogenic nuclide dating, optically stimulated luminescence (OSL) dating, and electron spin resonance dating. Radiocarbon dating has primarily used for the dating of hot-spring sinters in China, followed by electron spin resonance dating …

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Characteristics And Genetic Mechanism Of Geothermal Reservoirs In The Neogene Guantao Formation, Qikou Sag, Xia Guochao, Lou Da, Zhao Yanting, Wang Hui, Duan Zhongfeng, Sun Xiaolin, Zhang Feipeng, Luo Rong, Ge Jiacheng Jan 2024

Characteristics And Genetic Mechanism Of Geothermal Reservoirs In The Neogene Guantao Formation, Qikou Sag, Xia Guochao, Lou Da, Zhao Yanting, Wang Hui, Duan Zhongfeng, Sun Xiaolin, Zhang Feipeng, Luo Rong, Ge Jiacheng

Coal Geology & Exploration

The Qikou Sag in the Huanghua Depression, Bohai Bay Basin boasts extremely abundant geothermal resources. Among them, the geothermal reservoirs of the Neogene Guantao Formation have the greatest potential for exploitation. To ascertain the properties of geothermal resources in this formation and rationally exploit these resources, it is significant to investigate the geothermal field, porosity, permeability, geothermal water circulation patterns, and genetic mode of geothermal reservoirs in the formation. Based on data from drilling, geophysical exploration, thermometry, and production of the study area, this study determined that the geothermal reservoirs of the Guantao Formation in the Qikou Sag constitute a …

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Geodatabase And Modeling Code Used For Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson Jan 2024

Geodatabase And Modeling Code Used For Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson

Earth and Environmental Sciences Research Data

We developed spatiotemporal landslide hazard maps (LHMs) using soil, hydrologic, and geomorphic parameters from the subaerial infinite slope factor of safety (FS) equation under unsaturated conditions. Soil properties were extracted from the NRCS WSS, while geomorphic variables were derived from a 1.5 m LiDAR-based DEM and ArcGIS Online. Soil moisture from Hydrus-1D, driven by precipitation and evapotranspiration (ET) data from Irrigation Manager, introduced temporal variability. Validation against known landslide sites showed spatial and temporal FS accuracy despite some false positives. We also developed a landslide susceptibility maps (LSM) after comparing three machine learning algorithms, with bagged trees achieving the highest …

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Genetic Mechanisms Of Low-Temperature Geothermal Water And Its Associated Helium Gas In Meixian County In The Piedmont Of Qinling Mountains, Han Yuanhong, Lyu Jun, Zhang Yuping, Luo Naning, Li Bing, Shen Xiaolong Jan 2024

Genetic Mechanisms Of Low-Temperature Geothermal Water And Its Associated Helium Gas In Meixian County In The Piedmont Of Qinling Mountains, Han Yuanhong, Lyu Jun, Zhang Yuping, Luo Naning, Li Bing, Shen Xiaolong

Coal Geology & Exploration

Meixian County in the piedmont of the Qinling Mountains boasts abundant geothermal water resources with high-abundance associated helium gas. However, the characteristics and origin of geothermal fluids in the study area are yet to be studied. By analyzing the chemical composition and isotopic geochemistry of geothermal fluids and combining the distributions of regional structures and faults, this study delved into the characteristics and genetic mechanisms of geothermal fluids in the study area. The results show that the geothermal water exhibits salinity ranging from 638.96 to 1026.83 mg/L and a hydrochemical type of HCO3-Na. The low-degree metamorphism suggests that …

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Sensitivity Analysis Of Development Parameters On The Production Temperature Of Karst Geothermal Reservoirs: A Case Study Of The Qingfeng Area In Henan, China, Han Yun, Li Kewen, He Jifu, Wang Xinwei, Gao Nan’An Jan 2024

Sensitivity Analysis Of Development Parameters On The Production Temperature Of Karst Geothermal Reservoirs: A Case Study Of The Qingfeng Area In Henan, China, Han Yun, Li Kewen, He Jifu, Wang Xinwei, Gao Nan’An

Coal Geology & Exploration

The temperature of produced geothermal water serves as a pivotal indicator influencing the efficiency of geothermal energy utilization, with a higher temperature corresponding to more effective geothermal reservoir exploitation. For karst geothermal reservoirs, recognized as a significant type of geothermal reservoir, the temperature of produced geothermal water is influenced by reservoir parameters. Focusing on the Ordovician karst geothermal reservoirs in the Qingfeng area, Henan Province, this study established a geological model of the reservoirs, followed by numerical simulations based on thermal flow and well-reservoir coupling using the data of seven geothermal wells. The purpose is to explore the effects of …

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