The dryer is a steel cylinder, approximately 36 inches in diameter and five feet in length. The cylinder also spins at a rate up to 10 rpm. The inside surface contains 48 lifters. These lifters have two variants and are made of mild steel. They are designed to move limestone through the cylinder while the cylinder spins.

The drying of limestone is usually done industrially in a rotary drum dryer. The purpose of this project is to generate a model that will predict limestone particle motion as it passes through the dryer.  By creating an accurate model of the particle movement during the drying cycle, the operator will be able increase the dryer’s efficiency.  Using basic physics and through experimental testing, our team was able to produce a model that will provide detail of particle motion inside the dryer.

Do edge effects influence wildlife distributions in a small game reserve in South Africa?
Lyall A. Blanché*1 and Victoria J. Bennett1
1Department of Environmental Science, Texas Christian University, Fort Worth, TX 76129 USA
Physical boundaries in the landscape can influence the abundance and distribution of species through edges effects, which are characterized as a behavioral response to features or boundaries, creating an area of avoidance known as edge habitat. The implication is a reduction in the amount of available habitat for an individual and/or its population. Studies have shown that anthropogenic features, such as roads and fences, can cause edge effects. Thus, should we be considering the consequences of anthropogenic edge effects when managing wildlife populations in game reserves? To address this, we used Global Positioning System point locations collected from 2004-2020 on cheetah, elephant, leopard, and lion in Amakhala Game Reserve, a 66 km2 fenced reserve in the Eastern Cape of South Africa. This reserve is bordered by a national highway and bisected by a public road. We used regression analysis to determine any relationship between the proportion of locations within 5 m increments and 1) the national highway, 2) public road, 3) boundary fence, 4) a river on the reserve, and 5) control sections of the reserve. Our analysis revealed a significant positive correlation between elephant locations and distance from the national highway, with elephants avoiding a 600 m wide section of the reserve next to the highway. Our study highlights the importance of identifying potential edge effects to better inform the management of small reserves.

Globally, floods are the most common natural disasters, imposing stress on communities through infrastructure damage, financial costs, public health, and environmental damage. Serving as a major threat to the city of Houston, Texas (TX), this metropolitan area has an extensive flooding history. This project aims to develop a flood risk map for the White Oak Bayou Watershed, found in the North-East region of Houston. Using existing literature, the flood risk susceptibility for this study is based on seven factors: elevation, slope, flow accumulation, hydrologic classifications of soil, land use, rainfall, and distance to river networks. Using methods from existing literature, each individual factor was classified into 5 risk levels, based on their characteristics that make an area more prone to flooding. By using the weighted overlay analysis tool, the individual factors were weighted based on their contribution to overall flooding. The results show majority of the watershed is classified as medium risk, including areas of high and low flooding vulnerability. The high risk areas surround the river networks and increase risk towards the watershed’s discharge point, located in close proximity to the downtown area of Houston.

Urbanization imposes threats to the quantity and quality of stormwater, driving communities to identify water management strategies that aid in sustainable development. As demand for urbanization increases, green infrastructure (GI) practices can be implemented as mitigation strategies, allowing for sustainable growth in communities with limited harm to water resources. This project will model the Village Creek (VC) watershed, a semi-urban watershed in north-central Texas, using the Soil Water Assessment Tool (SWAT) to estimate the effects of GI on water quantity and quality. Topographic, land cover, and soil data along with historical water quality and climate data drove the model, then GI designs influenced the transport of streamflow, bacteria, sediments, and nutrients. We expect the results to quantify changes in water quantity and quality from GI implementation and highlight the effectiveness of GI for the watershed. This research provides VCLA watershed managers and stakeholders information on environmentally sound and sustainable watershed protection planning.

The Mississippi River Delta is the 7th largest river delta on Earth that consists of the Mississippi River and the Gulf of Mexico. Additionally, it contains 40% of the wetlands in the contiguous United States and over two million hectares (4,942,108 acres), an area equivalent to the size of two football fields, of agricultural lands. Due to fertilizer runoff from agricultural lands, the river delta has been experienced excess levels of nitrogen and phosphorus. The excess levels of these nutrients have contributed to water pollution in the delta and the hypoxia zone in the Gulf of Mexico. This research will focus on mapping the levels of nitrogen and phosphorous across the river delta to determine where the highest levels are

To understand wildlife ecology, one common strategy is a technique known as telemetry. This technique involves attaching radio-transmitters to animals. For volant species, such as bats, transmitters are attached to their backs with an adhesive. However, one issue is that it is easy for the bats to remove the transmitter. The loss of transmitters early in surveys is not only costly, but limits the amount of data that can be collected. Thus, there is a real need to extend the length of time a transmitter remains on a bat. To address this, we conducted a two-part behavioral observation study in the bat flight facility at TCU. In part 1 from April to September 2019, we tested 1) two currently available transmitter brands and 2) three different prototype designs to determine if the overall shape and size of the transmitter impacted the length of time they remained attached. We found that regardless of transmitter brand or design, the antennas incurred a significant amount of damage, suggesting the bats used the antennas to grab and pull them off. Thus, for part 2 from August to September 2020, we conducted a series of trials to establish the effectiveness of three coatings at preventing bats from damaging the antennas. We found that transmitters did not remain attached significantly longer with cayenne pepper, nail-biting deterrent, or Tabasco sauce on the antenna, suggesting that either 1) bats were not deterred by the three coatings we selected, or 2) bats may not be chewing the antennas or putting them in their mouths to provide leverage to remove them. Overall, our study revealed that bats can and will remove transmitters by grooming them off using the antennas and recommend that future research focuses on integrating the antenna into the body of the transmitter as a preventative measure.

Agricultural soils require the presence of three basic plant nutrients: Nitrogen, phosphorus, and Potassium (NPK). Each nutrient has its role in plant growth and their deficiencies have adverse effects. Therefore, detailed analysis was required to analyze whether soils from a lake were sufficient in terms of these nutrients and could be suggested for use as an agricultural soil amendment on a particular plot of land. Experimental study by way of specific chemical analysis methods (LOI, spectroscopy, etc.) looked at water content, pH, EC, SOC (Soil Organic Carbon), phosphorus and nitrogen content in the lake sediments; these values were used to determine what contents/nutrients in the lake sediments would need to be optimized for crops of interest. Results from the concluding experimental procedures would allow the property owner to effectively make use of their resources.

The Louisiana coast is prone to power tropical storm systems, known as hurricanes, which commonly cause significant damage to the environment and financial infrastructure in coastal states, such as Louisiana. Using landsat data acquired from the USGS, determining land cover degradation from seasonal low-pressure storms that span different decades can be made possible. This GIS-based study also takes into account elevation models (DEMs) to provide an accurate portrayal of how coastal vegetation influences the impact of these storms, as well as how storm intensity influences the morphology of coastlines.

Hawaii’s most active volcano, Kilauea, poses many threats to the surrounding infrastructure of the Big Island. Surface deformation from eruptions and underground magma tunnels have produced a growing lava lake within the Eastern Rift Zone, located on the Southeast tip of the island, since 2018. Using remote sensing techniques and GIS, I will use recent data collected from Kilauea’s eruptions and Halema’uma’u lava lake to create a volcanic hazards map of the region. A volcanic hazards map gives us insight to where the safest place are to inhabit on the surface of the island.

There are many major geologic units that outcrop in various regions of the Dallas-Fort Worth metroplex. A major unit that will be discussed in the current study is the Eagleford Shale. Previous studies have generated geologic maps that illustrate where this unit crops-out within the study region. The goal of this study is to create a modern geologic hazard zonation map of the Dallas-Fort Worth metroplex focusing on areas where the Eagleford crops-out. On this map, I will include the spatial distribution of discovered Eagleford outcrop locations and will integrate photographs that illustrate the stratigraphy of this formations using GIS.
Subsequently, I will use the map to calculate the area of all Eagleford surficial deposits within the study region. This shale is a mudrock that is primarily made up of soft-sediments and clays and can pose a geological hazard where it reaches the surface due to shrinking and swelling. This can cause major foundation issues to infrastructure that is built on this unit. Therefore, this map can be used for the purpose of taking precautionary measures when planning the construction of new buildings and road networks within the Dallas-Fort Worth metroplex.

The Lower Cenomanian Maness Shale is an argillaceous mudrock that occurs between the Buda Limestone and Woodbine Sandstone in the East Texas Field, and was originally placed within the Washita Group based on its biostratigraphy. It regionally extends throughout the East Texas Basin in tandem with the overlying Woodbine Group and displays considerable thickness and facies variations. The Maness interval is significant because previous studies indicate that it may be a hydrocarbon source rock.
Although this mudrock has been studied for several decades, the sediment source of the Maness remains in question. Prior studies have indicated that the sediment comprising the Maness could have come from multiple sources, one of them being the southern side of the Sabine Uplift. In the current study, I will correlate well logs through the south side of the Sabine Uplift from Polk and Tyler counties through Rusk county. I will then generate an isopach map of the study area and will compare thickness trends to those shown on the composite isopach map constructed by English (2020). Lastly, I will examine a core from Tyler or Polk counties that could potentially reveal clastic sandstones occurring within the Maness. The findings will be used to test my hypothesis that the Maness Shale is sourced from the southern portion of the Sabine Uplift.

The Atlantic Forest, which extends over 17 Brazilian States, is one of the richest biomes in the world. Historically it has been a hot spot for biodiversity including endangered and endemic species. Despite this, only 15% of the forest’s original range remains. This loss is disproportionally distributed as 4 of the 17 states accounts for 90% of the loss. The source of this deforestation can be attributed primarily to logging developments and eucalyptus plantations. Through using public geodatabases, satellite imagery, and ArcGIS Pro we will show this forest loss and fragmentation in a visually accessible way.

Hardness, defined as resistance to surface deformation, is an intrinsic property of all materials including sedimentary rocks. The variables responsible for a sedimentary rock’s hardness are not completely understood. By understanding which variables control hardness, we may gain a better understanding of related rock strength. Rock strength, defined as a rock’s resistance to plastic deformation under loading, is an important parameter for many industries such as mining, civil engineering, and hydrocarbon exploration.
Numerous tests such as triaxial tests or uniaxial tests are used to quantify rock strength, but are often expensive, time consuming, or require substantial investment in laboratory setup. To circumvent these issues, other devices have been employed to determine rock strength. For example, the Proceq Equotip Bambino micro-rebound hammer (Bambino) has been used for decades to test the hardness of materials such as concrete, steel, and ceramics. These hardness values have been used to determine material strength. Selected studies on rocks empirically correlate between Bambino-derived hardness value (called Leeb hardness) and uniaxial compressive strength (UCS). However, significant scatter in the data suggest that certain intrinsic (e.g., density, bulk mineralogy, etc.) or extrinsic factors (e.g., sample volume, surface the sample rests on) need to be considered for a better correlation.
In this study, I examined the relations between Leeb hardness and UCS values, while examining lithologic variations and other properties such as bulk mineralogy, water loss, volume, density, and effective porosity. I found that bulk mineralogy, density, effective porosity, and water content correlated with a sample’s mechanical hardness. Also, a sample’s UCS is related to its density, effective porosity, and mechanical hardness. Ultimately, these data validated previous studies and shed new insight on the controlling properties of a rock’s hardness and strength.

The Kittanning coal seams run underneath West Virginia, southeast Ohio, and southwestern Pennsylvania. It is part of a sequence that underlies the Freeport and Pittsburgh coals. All three seams are of Pennsylvanian Age. Of the seams in the Northern Appalachian Basin, the Kittanning has the among the largest extents. For that reason, it will most likely be the greatest influencer on population patterns. Since the early 1800s, the people of the region mined and used coal to produce their energy. As such, it is the goal of this research is to determine the spatial relationship between the economic coal sources and population centers.

Anxiety related to academics, especially with regards to testing, is a rapidly growing mental health issue impacting all undergraduates at TCU. High levels of test anxiety have been shown to inhibit memory recall, reduce exam scores, and promote poor study habits. Expressive writing is a form of test anxiety intervention consisting of a type of free response developed to allow students to release their minds of anxious thoughts and emotions related to exams. Expressive writing has been shown to reduce test anxiety and improve exam performance. However, the effectiveness of expressive writing may be mitigated by a students’ level of emotional intelligence. Emotional intelligence is defined as the capacity to be aware of, control, and express one’s emotions. In order to better understand the connection between emotional intelligence and expressive writing, I conducted an exploratory mixed-methods study using quantitative survey data to inform our selection of interview participants and the initial development of my interview protocol. Initially, to gain insight into students’ responses to the expressive writing prompt, I collected and coded expressive writing samples from GEOL 10113 students during the Fall of 2020. Prior to the beginning of the semester, I asked the students to complete a Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF) to assign a numerical value to their approximate emotional intelligence levels. Next, I stratified students by quartiles into high (Q3), medium (Q2), and low (Q1) emotionally intelligent groups. Then, GEOL 10113 students were asked to participate in focus group interviews, and volunteers were subsequently grouped by their TEIQue-SF score into three focus groups relating to the high, medium, and low emotional intelligence bins. Finally, using the focus group interview data and the selected student’s responses from the initial expressive writing exercise, I found that all of the student responses showed consistent differences between the three focus groups. Highly emotionally intelligent students had more positive experiences with the expressive writing exercise while lower emotionally intelligent students tended to have neutral or negative experiences with the activity. Overall, these data suggest that the level of emotional intelligence relates to how willing students were to convey their thoughts and emotions during the activity, which helped the higher emotionally intelligent students to have positive experiences with the writing exercise. The implications of my study are that while the efficacy of the expressive writing exercise is assumed, emotional intelligence is a confounding variable. Students must engage with it in some sort of authentic manner if they are to benefit from the exercise.

Solar energy is a significant contributor to the renewable energy mix. Many urban developments are making investments to install solar systems across feasible areas. The allocation of solar systems relies on the land’s geography and the amount of solar radiation received. The purpose of this study is to apply to determine the best sites for solar installations in urban areas. Using the TCU area of Fort Worth, Texas as a case study, this study will use ESRI’s ArcMap and ArcGIS Pro to estimate the solar power potential of different residential rooftops. The results will be useful in showing what households are most suitable for solar installation based on their expected energy yield.

Landslides may be caused naturally or triggered by human activities and have enormous societal and economic impacts. Detecting and mapping landslides through the generation of landslide susceptibility maps (LSM) and understanding the factors that trigger these processes will be helpful in land use planning and risk assessments. Moreover, it will also assist landslide mitigation efforts by controlling anthropogenic-led processes that induce landslides. This study deals with the analysis to identify slow-moving landslides in Travis County, Texas. It combines geographic information systems(GIS) and remote sensing datasets and techniques to generate an LSM of the study area and identify ground displacements. Remote sensing data provide key information about the topography and land uses, combined with controlling factors for a landslide occurrence such as slope, geology/soil and geological structures, and vegetation/land uses to perform an empirical approximation to map and assess landslide susceptibility. Once the susceptible areas are identified, analysis for ground displacement is applied using a Synthetic Aperture Radar Interferometric (InSAR) technique referred to as the Small Baseline Subset (SBAS) and field-based multitemporal Real-Time Kinematic (RTK) GPS measurements.

The Ouachita Trough is a basin that formed along a passive margin on the southern border of Laurentia caused by the Precambrian–Cambrian rifting of Rodinia and the opening of the Iapetus Ocean. The collision of Laurentia and Gondwana and the closing of the Iapetus Ocean thrust sediments from the Ouachita Trough onto the southern portion of the North American craton to form the Ouachita Mountains. The Ouachita Trough transitioned from a sediment-starved basin into an area of rapid sediment accumulation during the Mississippian. The Stanley Group, of interest in this study, was deposited prior to the collision of the encroaching Gondwana continent to the south. Although there have been many previous studies aiming to determine the provenance history of the Stanley Group, the results are inconclusive. In this study, nine samples from turbidite deposits of the Stanley Group were processed using both U-Pb age dating and core rim analysis. Laurentia and Gondwana have similar aged terranes that are difficult to differentiate. Using core rim analysis allowed us to date both the age of the core and rim of individual zircon grains. We were then able to correlate zircon grains of similar ages to their sources. By analyzing a large area of the Ouachita Mountains, this study shows that the Stanley Group consists of sediments sourced from both Laurentia and Gondwana terranes to the south.

Rapid industrialization and global population growth have increased the number of people living in urban areas worldwide. Developing countries, have seen tremendous increases in their industries over the past decades, which generated both positives and negative effects on their people, environment, and economy. One of the negative impacts of industrialization is industrial pollution and the increase in the number of pollutants released into the environment_ in this case, heavy metals. Heavy metal contamination is an alarming problem that many Developing countries are becoming aware of and trying to address. Heavy metal direct or indirect consumption may result in several health effects in the body, including damage and alteration of normal functioning of organs such as the brain, kidney, lungs, liver, and blood, which later result into acute or chronic diseases. This case study will look at heavy metal contamination cases in Rwanda in different drinking water sources. The focus of this case study will be on some common heavy metals released from industrial waste: Lead, Manganese, Iron, Cadmium, Zinc, and Chromium.

Teachers have experimented with the idea of virtual learning and its’ effects on student achievement. Due to the coronavirus pandemic, many schools and universities transitioned from traditional classroom-focused learning to asynchronous online learning. Asynchronous online learning is a type of instruction where online learning is not happening at the same time or place. Consequently, TCU made the abrupt transition in the Spring of 2021 to fully online asynchronous courses. To understand the magnitude of how remote learning can effect students’ academic success, my research project looks at what factors, including remote learning, can predict final grade utilizing GEOL 10113 student performance data and survey data from the spring semester of 2020 surveys. To investigate the impact of online learning, I tested several linear models to determine what confounders have a significant role in predicting students’ success in online and in remote learning. These models investigated which factors, ranging from demographic information to GPA, are significant predictors of both final grade and remote grade. I started the linear model selection process by testing a complex linear model, which had all the possible factors including interactions that can impact final grade or remote grade from the surveys. Once I knew which factors were significant from the complex model, I eliminated non-significant variables and created new models, comparing each model by their AIC values until I found the best-fit linear model for final grade and remote grade. AIC is a measurement of how well a linear model fits and the lower the AIC value the better fit the linear model has. After testing each linear model: GPA, students’ lecture section, remote grade, and exam average were significant to final grade. These models suggest that while remote grade is a significant predictor of final grade, no variable measured in this study is significant enough to impact remote grade. Differing from previous research, my results showed that there were no gaps in achievement amongst gender and underrepresented minority students. Although statistically no variable significantly impacted remote grade, there are trends amongst demographic variables and remote grade, suggesting some potential relationships that could be explored in future studies.

The Urban Heat Island (UHI) effect is characterized by the differential heating of densely populated urban areas in comparison to surrounding areas. Increased temperatures caused by buildings and other man-made infrastructure have a wide range of human and ecological impacts. One emerging methodology to combat UHI effects is the implementation of urban green spaces and trees. Trees can provide two main functions that aid in cooling; shade from the sun provided by the canopy and cooling through the process of evapotranspiration. This project aims to identify which species of tree best suits the ecoregion of Fort Worth, how much feasible green space Fort Worth can provide, and project the cooling the green spaces could provide if they are planted with trees.

The use of Interferometric Synthetic Aperture Radar (InSAR) to analyze the deformation of the Earth's surface has become an increasingly important tool for monitoring earthquakes, volcanic activity, landslides, and land subsidence. This process works by calculating the phase differences of radar signals reflected from the Earth's surface over a period of time. If the land has uplifted or subsided, the phase of the two radar signals will interfere. The image this phase difference produces is known as an interferogram, which shows the ground-surface displacement of the target area across the two time periods. This technique has been used extensively to survey Mexico City, which has been an area of concern since the beginning of the 20th century due to its dramatic rate of ground subsidence.

The reusing, recycling, and reduction of waste streams is seen as a viable sustainability strategy. One major waste stream is coffee grounds with about 11.5 million kilograms being generated per day in America of which 90% is landfilled. This waste stream can be repurposed into usable carbon-based materials to address issues of climate, pollution, or engineering applications. For my research, I am converting spent (used) coffee grounds into biochars, a type of carbon-based material, with different charring (burning) temperature to measure the removal of lead (Pb2+) from contaminated water. The charring temperature was changed in order to determine the optimal charring temperature for water treatment. This presentation will go into the maximum amount of lead the biochars can remove, how fast the biochars can remove the lead and the properties of biochars that allow for such removal. Further results, methodology, and modeling applications will be discussed in the presentation.

Nanomaterials are the new technologies reforming industrial activities. They are used to improve energy efficiency and storage, to cheaply store and process information in every internet server and personal computer, to facilitate bio-imaging and drug delivery, and in environmental remediation. These materials’ nanometric dimension, 1/100000 the width of a human hair, allows them to have novel characteristics such as strength, electrical resistivity, and conductivity, and optical absorption compared to the same materials in bigger sizes. Due to their widespread and incorporation into consumer products, it is important to understand their interactions with other elements in the environment. I used flow experiments, to understand the effects of the core and terminal groups chemistries of 3 sets of nanomaterials on their interaction with ferrihydrite, a very common and reactive mineral in the environment. The nanomaterials used in this study, namely Graphene Quantum Dot (GQD), PAMAM G4-OH, and PAMAM G3.5-COOH, have comparable sizes, 6nm, 4.5 nm, and 3.5 nm, respectively. When the experiments were conducted under acidic and circumneutral pH, the quantities of GQD and PAMAM G4-OH sorbed were equivalent and less than the quantity of PAMAM G3.5-COOH sorbed. In my presentation, I will go over the quantities and kinetics results from the interactions of the 3 sets of nanomaterials onto ferrihydrite over environmentally significant pH values (range 3-10).