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Articles 22591 - 22620 of 294564
Full-Text Articles in Physical Sciences and Mathematics
Habit Coach: Customising Rag-Based Chatbots To Support Behavior Change, Arian Fooroogh Mand Arabi, Cansu Koyuturk, Michael O'Mahony, Raffaella Calati, Dimitri Ognibene
Habit Coach: Customising Rag-Based Chatbots To Support Behavior Change, Arian Fooroogh Mand Arabi, Cansu Koyuturk, Michael O'Mahony, Raffaella Calati, Dimitri Ognibene
Conference papers
This paper presents the iterative development of Habit Coach, a GPT-based chatbot designed to support users in habit change through personalized interaction. Employing a user-centered design approach, we developed the chatbot using a Retrieval-Augmented Generation (RAG) system, which enables behavior personalization without retraining the underlying language model (GPT-4). The system leverages document retrieval and specialized prompts to tailor interactions, drawing from Cognitive Behavioral Therapy (CBT) and narrative therapy techniques. A key challenge in the development process was the difficulty of translating declarative knowledge into effective interaction behaviors. In the initial phase, the chatbot was provided with declarative knowledge about CBT …
Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – October 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis
Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – October 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
October 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister
October 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
How Does Herbicide Resistance Change Farmer’S Weed Management Decisions? Evidence From The Roundup Ready Experiment, Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen
How Does Herbicide Resistance Change Farmer’S Weed Management Decisions? Evidence From The Roundup Ready Experiment, Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen
Environmental Science and Management Faculty Publications and Presentations
Adoption of diverse weed management practices is viewed as essential for slowing the spread of herbicide-resistant (HR) weeds. Yet, adoption of diverse tactics has remained low, while there has been explosive growth of resistant weeds. This study analyzes U.S.-farm-level data to identify factors affecting adoption of diverse weed management practices. This study uses directed acyclic graphs (DAGs) to consider how practice adoption is influenced by different causal pathways between farmer and farm characteristics and farmer awareness of and concern over HR weeds. This study then uses multiple regression analysis to estimate the direct and indirect pathways that influence practice adoption. …
Heroic Virtues In Space Exploration: Everydayness And Supererogation On Earth And Beyond, John N. Nielsen
Heroic Virtues In Space Exploration: Everydayness And Supererogation On Earth And Beyond, John N. Nielsen
Heroism Science
The space environment poses significant dangers and difficulties for human explorers—difficulties so great that it has been argued that space exploration should be exclusively conducted by automated spacecraft. The possibility of space science conducted by human astronauts in spite of these dangers presents the opportunity for individuals to exhibit traditional heroic virtues—presumably, supererogatory forms of prudence, temperance, fortitude, and justice—in the pursuit of science. In particular, the difficulties of pursuing science in the hostile conditions of extraterrestrial environments will call for physical courage in the face of personal danger, patience with the painstaking procedures of technically difficult scientific experiments performed …
Cyclization Of Diols Using Ferrocenium Cations & Other Iron-Based Catalysts, Cody D. Amann, Fnu Khushboo, Sai Anvesh Bezawada, Eike B. Bauer
Cyclization Of Diols Using Ferrocenium Cations & Other Iron-Based Catalysts, Cody D. Amann, Fnu Khushboo, Sai Anvesh Bezawada, Eike B. Bauer
Undergraduate Research Symposium
Our research involves the study and improvement of iron-based catalysts. The Bauer group has recently found that the ferrocenium cation, along with other iron-based compounds, are catalytically active in the cyclization of various diols to obtain five-membered tetrahydrofuran derivatives. My research involved comparing the effect of 2 different counter-anions of the ferrocenium cation along with 2 other iron-based catalysts that were previously synthesized in the Bauer lab for their catalytic activity in the title reaction. Cyclization test reactions were performed by reacting three different types of diols with each of four different iron catalysts. The three diols used were 4-methyl-1-phenyl-1,4-pentanediol …
Digital Humanities: Using Computational Methods On Literature To Understand Human-Water Relations, Ariel Yang
Digital Humanities: Using Computational Methods On Literature To Understand Human-Water Relations, Ariel Yang
Cybersecurity Undergraduate Research Showcase
By using computational techniques to analyze literature, deeper insights can be gained into human-water relationships across different historical and cultural contexts. Natural Language Processing (NLP) and other data science methods can explore applications of traditional ecological knowledge (TEK) and underlying emotions or beliefs in literature to help understand sustainability. Protecting this sensitive cultural data through ethical applications can further secure future implementations of policies, urban planning, and environmental relationships.
The Effects Of Personality Type On Decision Making, Meghan Cemke, Kya Cousino, Aubrey Kelly, Mckenna Prouty
The Effects Of Personality Type On Decision Making, Meghan Cemke, Kya Cousino, Aubrey Kelly, Mckenna Prouty
Science University Research Symposium (SURS)
A person’s personality encompasses many aspects of their life including how they act and how they think. It is common for people to fail to recognize that their personality is at work, or even that it could have an effect on their cognitive decision-making. Particularly, moral decision-making and the effects of personality on their collectivist or individualist mindset. Previous research has shown that certain aspects of a person’s Big Five personality (openness, conscientiousness, extraversion, agreeableness, and neuroticism) have the ability to impact the way that people make decisions that benefit themselves or others (Saha, 2018). The goal of the current …
Decomposition Rates Of Native (Indigo) Vs Non-Native (Cosmos) Plants, Siobhan Day, Emily L. Garner, Carmyn Harrison, Corinne Parker, Angela D. Panvini
Decomposition Rates Of Native (Indigo) Vs Non-Native (Cosmos) Plants, Siobhan Day, Emily L. Garner, Carmyn Harrison, Corinne Parker, Angela D. Panvini
Science University Research Symposium (SURS)
Decomposition is a crucial step in the cycling and recycling of nutrients in the natural world. As things die, detritivores such as bacteria, protists, and fungi break down the material into organic and inorganic matter, releasing nutrients into the soil to be used by living plants. This study aimed to determine the rate of decomposition of a native plant, Baptisia australis, (Blue False Indigo) compared to a non-native plant, Cosmossulphureus (Cosmos). Eight litterbags filled with Indigo and eight litterbags filled with Cosmos were left to decompose and the rate of decomposition was recorded over a period of eight weeks. Results …
3d Reconstruction Of Surface Temperature Field In Spontaneous Combustion Coal Gangue Dump Fire Area And Its Practice, Shao Zhenlu, Zhang Huisong, Deng Rong, Yang Tong, Ma Dong
3d Reconstruction Of Surface Temperature Field In Spontaneous Combustion Coal Gangue Dump Fire Area And Its Practice, Shao Zhenlu, Zhang Huisong, Deng Rong, Yang Tong, Ma Dong
Coal Geology & Exploration
Objective The spontaneous combustion of coal gangue dumps has severely damaged the ecological environment and affected the production safety, which has become a bottleneck in the process of ecological civilization construction in China. In order to formulate a fire extinguishing plan and implement a fire extinguishing project, it is very important to accurately detect the fire area of the spontaneous combustion coal gangue dump. Methods Herein, the idea of detecting the three-dimensional distribution of high-temperature areas using unmanned aerial vehicle (UAV) based thermal infrared oblique photogrammetry technology was proposed. Meanwhile, the multi-scale Gaussian filtering detail enhancement technology for thermal infrared …
Impacts And Regulation Mechanisms Of Phase-Change Wall Microspheres On Cement Slurry Performance In Well Cementing, Zheng Mingming, Wu Zurui, Yan Shichun, Hu Yunpeng, He Juan, Zhang Yawei, Xiong Liang, Zhu Chengtao
Impacts And Regulation Mechanisms Of Phase-Change Wall Microspheres On Cement Slurry Performance In Well Cementing, Zheng Mingming, Wu Zurui, Yan Shichun, Hu Yunpeng, He Juan, Zhang Yawei, Xiong Liang, Zhu Chengtao
Coal Geology & Exploration
Objective The current design of low-heat cement slurries prepared by adding microspheres with phase change materials as wall materials for well cementing in strata bearing natural gas hydrates (NGHs) fails to fully account for the impacts of the particle size and mass fraction of the microspheres on the performance of cement slurries. This leads to impaired cement slurry performance and increased costs, further inducing many problems with well cementing quality. Hence, it is significant to analyze the impacts and controlling mechanisms of the microspheres on cement slurry performance. Methods To eliminate the interference of the heat storage effect of the …
Decomposition Rates Of Introduced C. Sulphureus Vs. Native A. Rhomboidei , Jonathan R. Loftis, Todd Hoskinson, Gabi Palumbo, Marven Roufail, Darlene Panvini
Decomposition Rates Of Introduced C. Sulphureus Vs. Native A. Rhomboidei , Jonathan R. Loftis, Todd Hoskinson, Gabi Palumbo, Marven Roufail, Darlene Panvini
Science University Research Symposium (SURS)
Decomposition rates are important in measuring the health of an ecosystem. They can indicate the rate at which nutrients cycle through the habitat. However, not all leaves will decompose at the same rate, which impacts the rate at which nutrients can be recycled. The introduction of non-native species may bring about changes to the native nutrient cycle, as these plants may have a different rate of decomposition than those of native species. This can affect the amount of nutrients available in the soil surrounding native and non-native plant species, which in turn affect other native species. Using two species of …
Propagation Party: Comparing Root Development Across Techniques, Sumiah Muhsin, Aunalise Terreri, Edi Mihalcea, Indy Cockrill
Propagation Party: Comparing Root Development Across Techniques, Sumiah Muhsin, Aunalise Terreri, Edi Mihalcea, Indy Cockrill
Science University Research Symposium (SURS)
Plant propagation is a method of growing plants through various techniques that create genetically identical clones of the parent plant. Propagation maintains the preferred genetic material of a plant so that it can be further reproduced on a larger scale. To assess growth variations, sweet potato cuttings were propagated in soil and water, as well as in water with and without rooting hormone. Additionally, Monstera cuttings were propagated in water with and without rocks. Root development was observed across all conditions to determine the most effective propagation methods. Plants propagated in water appear to root more successfully than those propagated …
Design Method For Active Slope Reinforcement: A Case Study Of Excavated Slopes, Qin Hui, Yin Xiaotao, Tang Hua, Cheng Xu
Design Method For Active Slope Reinforcement: A Case Study Of Excavated Slopes, Qin Hui, Yin Xiaotao, Tang Hua, Cheng Xu
Coal Geology & Exploration
Objective Slope instability and failure exhibit extinct spatiotemporal characteristics. Existing design methods for passive reinforcement have resulted in the engineering instability of numerous excavated slopes. Therefore, analyzing the spatiotemporal evolutionary patterns of slopes during excavation and exploring the design methods for active slope reinforcement are particularly important for the information technology (IT)-based construction and safety control of slopes. Methods Using on-site investigations and numerical simulations, this study analyzed the causes of excavation-induced failure of high slopes, as well as the evolutionary pattern of the principal stresses in the sliding zone. Consequently, this study revealed the progressive failure mechanism of slopes …
Natural Gamma-Ray Log-Derived Heat Production Rates Of Strata And Lithospheric Thermal Structure In The Central Depression, Yinggehai Basin, Zhang Jiahao, Song Rongcai, Zheng Feng, Zhang Yan, Tang Xin, Li Bo, Dong Shuyi
Natural Gamma-Ray Log-Derived Heat Production Rates Of Strata And Lithospheric Thermal Structure In The Central Depression, Yinggehai Basin, Zhang Jiahao, Song Rongcai, Zheng Feng, Zhang Yan, Tang Xin, Li Bo, Dong Shuyi
Coal Geology & Exploration
Objective Understanding the lithospheric thermal structure is significant for exploring the dynamics of a basin's thermal evolution, as well as for the assessment, exploitation, and utilization of geothermal resources in a basin. However, the limited data on heat production in the Yinggehai Basin has constrained research into the lithospheric thermal structure of the basin. Methods Using natural gamma-ray (NGR) logs from 23 wells in the Yinggehai Basin, this study calculated the heat production rates of strata in the central depression using the fitted gamma-ray value (GR) - radiogenic heat production rate (A) empirical formula. Based on the ocean …
Table Of Contents, The Editors
An Improved Conditional Integrator Sliding Mode Controller Based On Swarm Intelligence For A Magnetic Levitation System, Abdelkader Kerraci, Mohamed Fayçal Khelfi, Zoubir Ahmed-Foitih
An Improved Conditional Integrator Sliding Mode Controller Based On Swarm Intelligence For A Magnetic Levitation System, Abdelkader Kerraci, Mohamed Fayçal Khelfi, Zoubir Ahmed-Foitih
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes an enhanced Conditional Integrator Sliding Mode Controller using Particle Swarm Optimization (CISMCPSO) for a magnetic levitation system (MLS). The main advantage of this controller is its robustness to uncertainties and disturbances, which also avoids chattering and ensures zero static steady-state error. The main idea of CISMCPSO is to activate its integral action only when the sliding surface reaches the boundary layer while it is reduced to zero or close to zero elsewhere, which avoids destroying the transient response caused by the conventional integral sliding-mode controller. A particle swarm optimization algorithm schedules the conditional integral term parameter of …
Uniform 3d Scattering Point Model For Simulating The Dynamic Radar Echo From Wind Farm, Bo Tang, Zhendong Zhu, Zhiyu Shang, Huanghai Xie, Feng Wang, Jiaxu Chen
Uniform 3d Scattering Point Model For Simulating The Dynamic Radar Echo From Wind Farm, Bo Tang, Zhendong Zhu, Zhiyu Shang, Huanghai Xie, Feng Wang, Jiaxu Chen
Turkish Journal of Electrical Engineering and Computer Sciences
The calculation scale of simulating wind farm dynamic radar echo is gradually growing with the increasing scale of wind farms, which can hardly meet the requirements of real-time radar echo simulation. Considering that the method of surface element division can greatly influence the result of simulation, uniform surface element division is applied to accelerate the traditional simulation algorithm based on the refined 3D scattering point model and enhance the main characteristics of the radar echo. The solution time of dynamic radar echoes from 1-8 wind turbines is calculated to test the average speed that the uniform 3D scattering point model …
Developing Linguistic Patterns To Mitigate Inherent Human Bias In Offensive Language Detection, Toygar Tanyel, Besher Alkurdi, Serkan Ayvaz
Developing Linguistic Patterns To Mitigate Inherent Human Bias In Offensive Language Detection, Toygar Tanyel, Besher Alkurdi, Serkan Ayvaz
Turkish Journal of Electrical Engineering and Computer Sciences
With the proliferation of social media, there has been a sharp increase in offensive content, particularly targeting vulnerable groups, exacerbating social problems such as hatred, racism, and sexism. Detecting offensive language use is crucial to prevent offensive language from being widely shared on social media. However, the accurate detection of irony, implication, and various forms of hate speech on social media remains a challenge. Natural language-based deep learning models require extensive training with large, comprehensive, and labeled datasets. Unfortunately, manually creating such datasets is both costly and error-prone. Additionally, the presence of human-bias in offensive language datasets is a major …
A Cascade Genetic Algorithm Based Adaptive Backstepping Impedance Control For Upper Limb Rehabilitation Robot, Mawloud Aichaoui, Ameur Ikhlef
A Cascade Genetic Algorithm Based Adaptive Backstepping Impedance Control For Upper Limb Rehabilitation Robot, Mawloud Aichaoui, Ameur Ikhlef
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a novel cascade impedance control architecture designed for the upper limb exoskeleton rehabilitation robot. The proposed architecture comprises two parts: Firstly, the impedance reference trajectory is shaped from the desired trajectory utilizing the desired impedance model and feedback contact torques. The second part of the proposed controller is an adaptive backstepping control, responsible for tracking the generated impedance reference trajectory. Notably, the proposed adaptive backstepping impedance controller is non-model-based control approach, eliminating the need for the robot's model. Furthermore, a genetic algorithm is employed as an offline tuning method for the inner position loop controller, namely the …
A New Dxccdita Based Meminductor Emulator And Its Application In Chaotic Oscillator, Bhawna Aggarwal, Shireesh Kumar Rai, Harsh Jain
A New Dxccdita Based Meminductor Emulator And Its Application In Chaotic Oscillator, Bhawna Aggarwal, Shireesh Kumar Rai, Harsh Jain
Turkish Journal of Electrical Engineering and Computer Sciences
This work introduces a new dual-X current conveyor differential input transconductance amplifier (DXCCDITA) based meminductor emulator, alongside its application in chaotic oscillator has also been presented. To realize the designed meminductor emulator, one DXCCDITA, two resistors, and two capacitors are employed. Pinched hysteresis loops are achieved across a wide frequency range spanning from 100 Hz to 1.5 MHz, encompassing both decremental and incremental topologies. Additionally, the proposed circuit offers the flexibility to switch between incremental and decremental configurations using a simple switch. Through examination of non-volatility and transient responses, the efficiency of the presented emulator is evidently demonstrated. To further …
A Surface-Based Approach For 3d Approximate Convex Decomposition, Onat Zeybek Kuşkonmaz, Yusuf Sahi̇lli̇oğlu
A Surface-Based Approach For 3d Approximate Convex Decomposition, Onat Zeybek Kuşkonmaz, Yusuf Sahi̇lli̇oğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Approximate convex decomposition enables the simplification of complex shapes into manageable convex components. In this work, we propose a novel surface-based method to achieve this which leads to efficient computation times and sufficiently convex results while avoiding over-approximating the input model. We start approximation using mesh simplification. Then we iterate over the surface polygons of the mesh and divide them into convex groups. We utilize planar and angular equations to determine suitable neighboring polygons for inclusion in forming convex groups. To ensure our method outputs a sufficient result for a wide range of input shapes, we run multiple iterations of …
Lgformer: Informer-Based Personalized Modeling For Blood Glucose Prediction, Xue Yuewei, Shaopeng Guan, Jia Wanhai
Lgformer: Informer-Based Personalized Modeling For Blood Glucose Prediction, Xue Yuewei, Shaopeng Guan, Jia Wanhai
Turkish Journal of Electrical Engineering and Computer Sciences
Effective diabetes management relies on precise prediction of blood glucose levels to minimize complications. However, the patterns and fluctuations in blood glucose vary significantly among patients, posing a challenge for existing prediction methods. Many current approaches fail to accommodate these individual differences, leading to less reliable predictions. In response to this challenge, we present LGformer, a novel prediction model based on the Informer architecture, designed to enhance both flexibility and accuracy. LGformer improves upon Informer by integrating LSTM and GRU layers into its probSparse Self-attention mechanism, allowing for personalized processing of blood glucose data tailored to each patient's unique profile. …
A Python Pipeline For Rapid Inversion Of Gravity Data Aimed At Early Career Researchers: Application To The Lost River Fault, Idaho, Bradford C. Mack
A Python Pipeline For Rapid Inversion Of Gravity Data Aimed At Early Career Researchers: Application To The Lost River Fault, Idaho, Bradford C. Mack
USF Tampa Graduate Theses and Dissertations
Gravity data and modeling can be used to create a 3D view of basin and fault geometries, a valuable tool for seismic hazard assessment. Additionally, access to a high-speed, easy-to-use modeling workflow will enable more researchers to supplement their work with a new method and allow students to be exposed to modeling earlier in their academic careers. The primary goals of this work are to create a widely usable 3D gravity and basin model, to create an introduction to modeling teaching module for undergraduate geology students, and to apply the model to the northernmost two segments of the Lost River …
3d Reconstruction And Comparative Anatomical And Kinematic Analyses Of The Foot Of Archaeopteryx, Alexander M. Kirk
3d Reconstruction And Comparative Anatomical And Kinematic Analyses Of The Foot Of Archaeopteryx, Alexander M. Kirk
USF Tampa Graduate Theses and Dissertations
Research on the evolution of dinosaur flight has long been dominated by the wing, often overlooking the foot. The foot of Archaeopteryx, the “icon of evolution”, thus offers a unique opportunity to investigate this critical evolutionary stage. Chapter I of this dissertation integrates advanced 3D reconstruction techniques, combining photogrammetry with X-ray data, to create a high-resolution model of the foot of the Thermopolis specimen of Archaeopteryx for visualization and analysis. Driven by 3D coordinate axes derived from joint surface topology, the analyses in Chapter II reveal terrestrial adaptations -- such as a medially oriented hallux (81°), serially shorter phalanges on …
State Of The Art And Future Directions In Groundwater Contamination Risk Assessment, Xu Beiyi, Wang Ce, Zhou Guangyang, Zhou Pengpeng
State Of The Art And Future Directions In Groundwater Contamination Risk Assessment, Xu Beiyi, Wang Ce, Zhou Guangyang, Zhou Pengpeng
Coal Geology & Exploration
Background Rapid global socio-economic development has intensified the resource crisis and contamination of groundwater, rendering groundwater contamination risk assessments critical to contamination prevention, control, and remediation. Advances Through a systematic summary of domestic and international studies, this study reviews the development of theories on groundwater contamination risk assessments and the formation of the theoretical system. Based on the source-pathway-receptor assessment system, this study presents a summary of the research methods for the assessments of contamination source load risks, groundwater vulnerability, and contamination hazards. Groundwater contamination risk assessments have evolved from unidimensional qualitative assessments to quantitative process models highlighting contamination mechanisms …
In-Situ Superconductor Temperature Sensor For Cryogenic Integrated Circuits, Emre Küçükyilmaz, Nazi̇f Orhun Tekci̇, Sasan Razmkhah, Ali̇ Bozbey
In-Situ Superconductor Temperature Sensor For Cryogenic Integrated Circuits, Emre Küçükyilmaz, Nazi̇f Orhun Tekci̇, Sasan Razmkhah, Ali̇ Bozbey
Turkish Journal of Electrical Engineering and Computer Sciences
Cryogenic circuits, such as those based on single flux quantum (SFQ) logic, function at extremely low temperatures. Therefore, the designs target the utilization of liquid helium (LHe) temperatures, maintaining them at 4.2 K. These specialized circuits can be subjected to measurement either within liquid helium (LHe) baths or enclosed within closed-cycle cryocoolers.However, when utilizing LHe in cryocooler systems, inherent weak thermal contact can lead to temperature gradients between the circuit chip and the cold head, where conventional temperature sensors are typically placed. To address this challenge, this study introduces an innovative on-chip temperature sensing approach that capitalizes on the temperature …
Fault Diagnosis Of Photovoltaic Array Based On Gated Residual Network With Multi-Head Self Attention Mechanism, Ahmed Mesai Belgacem, Mounir Hadef, Abdesslem Djerdir
Fault Diagnosis Of Photovoltaic Array Based On Gated Residual Network With Multi-Head Self Attention Mechanism, Ahmed Mesai Belgacem, Mounir Hadef, Abdesslem Djerdir
Turkish Journal of Electrical Engineering and Computer Sciences
Effective fault identification and diagnosis in photovoltaic (PV) arrays is vital for improving the effectiveness, and safety of solar energy systems. While various artificial intelligence methods have successfully established fault detection and diagnosis models, introducing inefficiencies and potentially overlooking useful features. Moreover, these methods often employ neural networks with limited performance capabilities. In response to these challenges, this paper introduces an innovative intelligent model that integrates a combination of a gated residual neural network (GRN) and a multi-head self-attention mechanism (MHSA). To evaluate the proposed fault diagnosis model, the small-scale PV grid system is implemented, and fault simulation experiments, including …
Techniques For Coal Resource Conservation During The Ecological Restoration Of Alpine Mining Areas On Plateaus, Li Congcong, Wang Tong, Zhao Xin, Wang Weichao, Liang Zhenxin
Techniques For Coal Resource Conservation During The Ecological Restoration Of Alpine Mining Areas On Plateaus, Li Congcong, Wang Tong, Zhao Xin, Wang Weichao, Liang Zhenxin
Coal Geology & Exploration
Objective The prolonged coal mining of the Muli coalfield, located in an alpine region in the eastern Qinghai-Tibet Plateau, has posed many ecological challenges, which especially include the presence of considerable quantities of disturbed coal resources in open-pit mining areas. This study aims to achieve scientific and effective coal resource conservation during the ecological restoration of coal mines. Methods Focusing on the Jvhugeng mining area of the Muli coalfield, this study investigated the destruction characteristics of the coal resources in the open-pit mining area. From the perspective of geological mechanisms behind the destruction, this study artificially constructed the roofs of …
Underground Coal Gasification In The Aidinghu Mining Area, Turpan-Hami Coalfield: Geological Evaluation System And The Selection Of The Optimal Coal Seam, Zeng Zhiwei, Lai Peng, Tian Jijun, Yang Shuguang, Hu Zhenpeng, Wang Bo, Yu Yu, Wang Haichao, Liu Yunxuan, Yuan Yixuan
Underground Coal Gasification In The Aidinghu Mining Area, Turpan-Hami Coalfield: Geological Evaluation System And The Selection Of The Optimal Coal Seam, Zeng Zhiwei, Lai Peng, Tian Jijun, Yang Shuguang, Hu Zhenpeng, Wang Bo, Yu Yu, Wang Haichao, Liu Yunxuan, Yuan Yixuan
Coal Geology & Exploration
Objective Underground coal gasification (UCG) is an innovation in traditional coal mining technology. The prerequisites for successful UCG include developing a systematic geological evaluation system and scientifically selecting the optimal coal seam.Methods Using mathematical analysis methods such as analytic hierarchy process (AHP), coefficient of variation method, and technique for order preference by similarity to ideal solution (TOPSIS), this study systematically analyzed the coal quality, coal seam occurrence, hydrology, surrounding rocks, geological structures, hazardous elements, and geological exploration degree of coal reservoirs in the Aidinghu mining area, Turpan-Hami coalfield. Accordingly, this study deeply explored the feasibility of UCG in the …