Mission

Our mission is to integrate oceanography, marine biology, ocean engineering, environmental science, ecology, meteorology, remote sensing, sustainability, and related academic endeavors into an interdisciplinary search for solutions to vital contemporary issues through education, research and service. 

Ocean Engineering

Modular Breakwater for Living Shorelines



Team Leader(s)
Matthew Ninesling

Team Member(s)
Matthew Ninesling, Elias Martin, Allison Polling

Faculty Advisor
Dr. Stephen Wood

Secondary Faculty Advisor
Dr. Deniz Velioglu Sogut



Modular Breakwater for Living Shorelines  File Download
Project Summary
The Marine Resources Council (MRC) is a non-profit that installs red mangrove-focused living shorelines in the Indian River Lagoon (IRL). Mangrove trees are excellent for naturally stabilizing shorelines and improving marine ecosystems, but they are difficult to plant on high-wave energy shorelines. The MRC’s current living shoreline projects are failing due to a dysfunctional breakwater that fails to protect the juvenile mangroves during high water season. Therefore, the Modular Breakwater for Living shorelines was specifically designed to be effective during high water season and create favorable hydrodynamic conditions for mangroves. The new breakwater design is characterized by its modular components, eco-friendly materials, high porosity, and emergent height. Computational fluid dynamics models were conducted on FLOW-3D HYDRO to simulate the wave-structure interaction and analyze the breakwater hydrodynamics with respect to mangrove habitat suitability. Three scenarios were modeled: an empty site, the original breakwater, and the new breakwater. The empty site was used as a baseline to measure breakwater performance across various conditions. Wave heights were recorded at the mangrove location in the model and correlated to mangrove hydrodynamic habitat suitability (HHS). The HHS scale was developed by analyzing mangrove prevalence in the IRL with respect to wave conditions (Cannon et al., 2020). The new breakwater design was proven to create a more suitable environment for mangrove vegetation. For the conditions tested, there was a 20-30% improvement in HHS over the original, and it consistently exceeded 50%. Using the MBLS design, living shorelines at high-energy locations can significantly increase their likelihood of success, as the breakwater creates a favorable environment for mangrove vegetation.












EVE (Environmental Variable Evaluator)




Team Member(s)
Claire Doherty, Lily Manrodt, Jolie Elliott

Faculty Advisor
Dr. Stephen Wood




EVE (Environmental Variable Evaluator)  File Download
Project Summary
There is a distinct lack of data observing the interface between the ocean and atmosphere during hurricanes and other severe weather systems. Hurricane models and predictions are incredibly important to improve the decisions of those in charge of making safety recommendations. This helps to improve people’s safety and also helps to prevent unnecessary evacuations. Furthermore, this will allow people to better protect property and other assets. This problem led a previous senior design team to create the Launchsonde. The Launchsonde, built as part of Project EVE, is a rocket containing an original electronics package intended to be deployed from a modular core to collect environmental data.  The next step to further this project, done by the 2023 senior design team, was to build the modular HIVE (Hurricane Investigation Vital Electronics), which is capable of communicating with the Launchsondes and storing the transmitted data. The mechanical and electrical designs of the HIVE were started in September 2022, and the prototype was completed in July 2023. Mechanically, a design has been chosen for the HIVE that features 3D-printed brackets and extruded aluminum rods securing six PVC pipes that hold the Launchsondes. There is also a central, watertight acrylic housing to hold the electronics. Programming to interface the electronics together in the HIVE was worked on, on top of programming to interface the three components of EVE together: the HIVE, ground station, and Launchsondes. For the first revision of the prototype, electronically, an original electronics package was created, which was breadboarded and tested with the programming. 












Sea Sled



Team Leader(s)
Mostafa Moualem, Haylie Garman.

Team Member(s)
Mostafa Moualem, Haylie Garman, Ben Kaiser

Faculty Advisor
Stephen Wood




Sea Sled  File Download
Project Summary
Build and design an electric propelled underwater sled for divers to scan the ocean floor. Providing live feed and the ability to store the data of the mapped ocean floor.


Project Objective
The system aims to improve accessibility to remote and hard-to-reach areas, revolutionizing marine surveying practices.

Manufacturing Design Methods
Use CAD software to design and model the entire sled. Create a body mold and fiberglass the body. Attach components using nuts and bolts into drilled holes in body. Wire up chambers and batteries which are suitable underwater.

Specification
Approximately 100lbs. 5ft long and 2.5 feet wide.

Analysis
Dropping this completed model into the ocean, a diver will be able to propel throughout the water in hard to reach areas. With a life of up to 2 hours the diver can navigate and map the ocean floor efficiently and effectively.

Future Works
Improve thrust and buoyancy as tests are preformed.

Other Information
Dr. Stephen Wood, Dr. Ronald Richard, Bill Bailey, HSDC Staff, Suzanne Dixon, Parker Baillon, Humberto Rivera, Gabor Papp

Manufacturing Design Methods
Use CAD software to design and model the entire sled. Create a body mold and fiberglass the body. Attach components using nuts and bolts into drilled holes in body. Wire up chambers and batteries which are suitable underwater.




Shoreline Wave Energy Conversion



Team Leader(s)
Darin Hiraldo

Team Member(s)
Darin Hiraldo, Ceana Palacio, Daniel Louw, and Gabriela Rodezno Wilson

Faculty Advisor
Dr. Stephen Wood

Secondary Faculty Advisor
Dr. Chungkuk Jin



Shoreline Wave Energy Conversion  File Download
Project Summary
A study has shown that by 2050, many nations stretching across the equator will reach temperatures that are too high to sustain life [1]. However, this crisis can be solved by turning to the source that covers more than 70% of our planet: water [2]. The United Nations Ocean Conference found that about 40% of the world population lives within 100 km (60 miles) of the coast in 2017 [3]. Therefore, utilizing the ocean as a source for renewable energy holds the potential for more than 40% of the world’s population to receive clean energy. With that potential in mind, this project was designed to prove the viability of a Shoreline Wave Energy Converter (SWEC) that operates on a magnetic induction coil.


Project Objective
The aim of this project is to prototype a wave energy converter that utilizes a magnetic induction coil to convert wave energy into a usable electrical output.





Other Information
1.) Xu, Chi, et al. “Future of the Human Climate Niche.” Proceedings of the National Academy of Sciences, vol. 117, no. 21, May 2020, pp. 11350–55. DOI.org (Crossref), https://doi.org/10.1073/pnas.1910114117. 2.) How Much Water Is There on Earth? | U.S. Geological Survey. https://www.usgs.gov/special-topics/water-science-school/science/how-much-water-there-earth#:~:text=About%2071%20percent%20of%20the,Water%20is%20never%20sitting%20still. Accessed 21 July 2023. 3.) Factsheet: People and Oceans. The Ocean Conference, United Nations, 5 June 2017, https://www.un.org/sustainabledevelopment/wp-content/uploads/2017/05/Ocean-fact-sheet-package.pdf.





Marine Sciences

Collecting DNA from White Sharks using Non-Invasive Skin Sampling



Team Leader(s)
Lila Xenakis

Team Member(s)
Lila Xenakis, Megan Winton, Greg Skomal, Toby Daly-Engel

Faculty Advisor
Toby Daly-Engel




Project Summary
Elasmobranchs (sharks, skates, and rays) are ecologically important keystone predators, and many species are currently under threat. Genetic diversity is a known buffer against extinction risk, and understanding patterns in diversity can improve conservation measures. But sampling DNA from elasmobranchs remains both logistically difficult and invasive, especially large shark species that are among the most vulnerable. To address this issue, we developed and tested a new, non-invasive method of collecting DNA from elasmobranchs to enable individual-level identification. Using an extendable pole-mounted scouring pad, four white sharks (Carcharodon carcharias) found feeding on a floating dead whale were swabbed to collect DNA. Tissue samples were also taken using a conventional biopsy-tipped pole spear to compare sequencing quality between collection types. From these, we developed a novel method for extracting and amplifying high-quality microsatellite DNA with the goal of obtaining data that was appropriate for DNA fingerprinting and individual-level identification. With these data, conservation biologists can conduct kinship analyses, build pedigrees, quantify genetic diversity, and track the movement patterns of individuals. With this new technique, researchers will be able to collect DNA from white sharks and other threatened species non-invasively via pole or indirectly via spear or arrow, ensuring that the animal is less impacted without sacrificing DNA quality to improve management and conservation.


Project Objective
Develop and test a novel non-invasive DNA collection and extraction technique for white sharks (Carcharodon carcharias) that will enable both individual and population-level genetic testing.










Shark CSI: Utilizing Genetic Tools to Identify Elasmobranchs



Team Leader(s)
Kieran Stein

Team Member(s)
Kieran Stein, Kleys Morillo, Joe Mocerino

Faculty Advisor
Dr. Toby Daly-Engel




Project Summary
Elasmobranchs (sharks and rays) are important for maintaining marine ecosystem balance, yet face rising mortality rates from overfishing1. Correct identification of species is important for conservation, because many shark species look similar but experience different levels of depletion. Molecular techniques can be highly useful for species-level identification, but are underused in shark fisheries management. Traditionally, biomonitoring and species distribution modeling is used to assess populations, but such methods can misidentify similar species. We used molecular tools to “forensically” identify shark species by sequencing DNA taken from three sources for which the donor shark was unknown: a fin clip taken by a NOAA observer, a tooth fragment left after a predation event, and shark meat from a commercial vendor that serves a number of local restaurants.












Tracing the Inheritance of Immune Genes to Estimate Multiple Paternity in Sandbar Sharks (Carcharhinus plumbeus)



Team Leader(s)
Riley Wallace

Team Member(s)
Riley Wallace, Dylan Gore, Erin Basher, JP Ostapovich, Eloise Cave

Faculty Advisor
Dr. Toby S. Daly-Engel




Project Summary
Reproductive strategies are important for scientists to understand so they can formulate effective conservation plans. In nature, females mating with multiple males during one season (polyandry) can lead to multiple paternity (MP), in which more than one male sires a single brood of offspring. This strategy is common in vertebrates and is thought to increase population genetic diversity, leading to improved immunity and survival (Jennions and Petrie 2000). MP is traditionally detected using highly variable microsatellite (msat) DNA, which sometimes lacks the resolution needed for MP analysis. Elasmobranchs (sharks and rays) were the first animals to evolve an adaptive immune system (AIS), which responds to any novel pathogen by triggering a cellular defense (Criscitiello 2014). An essential component of the AIS is the Major Histocompatibility Complex (MHC), a suite of genes that code for proteins that present antigens to immune cells. MHC genes are the most variable in the vertebrate genome and thus may be more effective in estimating MP. In this study, we aimed to amplify MHC Class IIβ genes in sandbar sharks (Carcharhinus plumbeus) to identify levels of polyandry, which we compared with past tests that used microsatellites. Due to their high variability, we hypothesize that MHC genes will be as effective or more effective than msat DNA for examining genetic mating systems in sharks ·A 150 base pair region of the MHC IIβ was amplified and sequenced. Sequences were aligned and phased, then put into a neighbor-joining tree to determine parental loci for 11 litters (mother and pups). Because MHC alleles are biparentally Inherited, we considered polyandry to be present if five or more unique parental alleles were detected. We compared these results to data on MP obtained using msat DNA from Daly-Engel et.al (2007). Seven of the litters shared the same results as the msat data, so we conclude that MHC can be used to detect polyandry. Two litters that did not show MP from msats did show it with MHC, which supports our hypothesis that high diversity at MHC loci makes these genes a good tool for understanding reproductive strategies. One litter showed evidence of multiple paternity (MP) with msats, but not with MHC. This is likely due to gene duplication, which makes detecting MP difficult when the number of pups is low. Future Steps include amplifying MHC genes in other species where MP is thought to be rare, to see if polyandry can be detected. Cloning the genes in the litters not showing MP will also be done to fully account for all alleles that are present.












Phylogeography of Deep-Water Snappers in Honduras and Belize



Team Leader(s)
Makenna Beehler

Team Member(s)
Makenna Beehler

Faculty Advisor
Dr. Toby Daly-Engel




Project Summary
Silk snapper (Lutjanus vivanus) and cardinal snapper (Pristipomoides macrophthalmus) are deep-water fishes (100-550 m depth) found throughout the western Atlantic Ocean. They are heavily exploited in commercial and artisanal fisheries in the coastal waters of Central America, especially in the islands between Honduras and Belize. Genetic patterns are frequently documented in shallow coastal fishes, but similar studies on deep-water fishes are less common, and therefore genetic assessments are needed to determine stock structure and make effective management recommendations for deep-water fisheries in these countries. Deep-water fisheries in Honduras and Belize are geographically connected to stocks in the wider Caribbean Sea, but remain understudied and largely unmanaged. Deep-water snappers have relatively conservative life history traits compared with shallow-water teleosts, including slow growth and late maturity, making it difficult for them to rebound from overexploitation. We utilized DNA samples taken from snappers across 12 island and coastal locations throughout Honduras and Belize to determine the number of evolutionarily distinct groups and potential management units. We sequenced 500-900 base pairs of the mitochondrial cytochrome b gene and performed Bayesian phylogeographic analysis and genetic connectivity (FST). Preliminary results indicate a lack of genetic structure between Honduras and Belize in both species of snappers, identifying them as a single management stock. These results shed new light on the stock structure of deep-water snappers in the Caribbean, providing a context for management that spans international borders.


Project Objective
The goal of this research is to utilize mitochondrial DNA to determine the genetic structure of deep-water snapper stocks in Honduras and Belize to guide implementation of fisheries management in these regions.

Manufacturing Design Methods
Tissue samples were collected from two species of deep-water snappers, Pristipomoides macrophthalmus and Lutjanus vivanus, across 12 sublocations throughout Honduras and Belize. We then selected primers for the mitochondrial cytochrome b gene due to it's variability and application in phylogenetic studies. DNA was extracted using the salting-out method. Our selected primers were utilized for amplification of the cytochrome b gene during polymerase chain reaction (PCR) and were sent for sequencing at the University of Arizona Genetics Core. Sequences were cleaned and aligned using Geneious prime software. These sequences were analyzed in ARLEQUIN 3.1 where an Analysis of Molecular Variance (AMOVA) was performed to determine the level of genetic structure present in Honduras and Belize.


Analysis
FST values were non-significant for both species of snapper, indicating a lack of genetic structure in Honduras and Belize. This suggests one large, interbreeding population and one management stock. This lack of genetic structure suggests a need for cooperative fisheries management between these two countries.

Future Works
Future work on this project will consist of obtaining nuclear DNA primers to perform similar procedures on these snappers and combine with our results from mitochondrial DNA due to their differential modes of inheritance and varying mutation rates.


Manufacturing Design Methods
Tissue samples were collected from two species of deep-water snappers, Pristipomoides macrophthalmus and Lutjanus vivanus, across 12 sublocations throughout Honduras and Belize. We then selected primers for the mitochondrial cytochrome b gene due to it's variability and application in phylogenetic studies. DNA was extracted using the salting-out method. Our selected primers were utilized for amplification of the cytochrome b gene during polymerase chain reaction (PCR) and were sent for sequencing at the University of Arizona Genetics Core. Sequences were cleaned and aligned using Geneious prime software. These sequences were analyzed in ARLEQUIN 3.1 where an Analysis of Molecular Variance (AMOVA) was performed to determine the level of genetic structure present in Honduras and Belize.




The Balance of Heterotrophic and Autotrophic Foraminifera



Team Leader(s)
Abby Swierz

Team Member(s)
Abby Swierz

Faculty Advisor
Dr. Richard B. Aronson

Secondary Faculty Advisor
N/A



The Balance of Heterotrophic and Autotrophic Foraminifera  File Download
Project Summary
Foraminifera, or forams, are single-celled protists with multi-chambered shells. Heterotrophic forams, which consume bacteria, dominate in more nutrient-rich habitats, whereas autotrophic forams with symbiotic algae dominate in more nutrient-deficient habitats. This study tests predictions of the balance of functional types under different presumed nutrient conditions. It was hypothesized there would be more heterotrophs than autotrophs in the Yucanán Peninsula. Two locations, Akumal and Punta Maroma, were studied, with sites established within locations. Forams were sampled at each site. Location was expected to play a larger role than site, since Akumal is in an area that is more nutrient-rich. The most common foram species was actually an autotroph, Heterostegina antillarum, rather than a heterotroph, and the ratio of functional groups varied more by site than by location.


Project Objective
Foraminifera are good indicators by showing sediment quality, pollution, and water quality (A’ziz 2021). This study explores the variability across spatial scales of the balance between heterotrophs and autotrophs. Heterotrophic forams predominate more nutrient-rich environments due to the increased bacteria abundance (Hallock 1999).

Manufacturing Design Methods
Forty-three samples were collected from coral reefs along the Yucatán Peninsula in a hierarchical design (Fig. 1). Samples were collected from three main sites: 12 from Dick’s, 13 from Yal-Ku, and 18 from Punta Maroma. I used previous research gained from using a microscope and CellSense on the computer to focus on the more abundant foraminifera at the three sites. Out of the 43 samples total, data was collected from each of the three sites, with six transects and varying samples at each. Data collection was random by only identifying a random 300 grains from each sediment sample. After viewing more samples and continuing Foraminifera research, ideas to analyze foram species amounts, scale of the ratio of functional groups, and feeding styles arose.

Specification
The data collection of each of the 43 samples took a process of seven steps. First, a sediment sample was mixed. Second, a 63 micrometer sieve was used to gather the larger sand grains, shells, and Foraminifera to put in a Petri dish. Third, a black surface was used with the dissecting scope to better see the Foraminifera and identify them. Fourth, 300 random grains were counted and if Foraminifera they were further identified. Fifth, the heterotrophs and autotrophs were documented. Sixth, a brush was used to clean off the Petri dish and other materials. Seventh, after all 43 samples were examined, analyze the results.

Analysis
Heterotrophic Foraminifera were more abundant than autotrophs at the three sites, but the most common species was Heterostegina antillarum, an autotroph (Fig. 2). The ratio of heterotrophs to autotrophs varied more among sites than among locations (Figs. 3 and 4). This indicates that foraminiferal assemblages respond to environmental variability at a small scale.

Future Works
Overall, the most common species of Foraminifera does not make that the more populous functional type, and the scale of functional types is statistically more helpful when on a smaller scale. However, results may be different with a larger variety of sites and locations. Experiments can always be more accurate when the field of study is expanded. The sites used in this experiment were all in the same general area of the Yucatán Peninsula. Different environments would cause the need for a larger variation of environmental indicators, causing increased diversity to take place, with many more species and feeding styles. Fortunately, the knowledge that site spatial scales matter more with Foraminifera will help these organisms be more accurate as environmental indicators.

Other Information
Foraminifera, also known as forams, are single-celled protists with shells (Wetmore). Their shells are made of multiple chambers, with the internal shell known as the test. Like most shelled organisms in the ocean, they are made of organic compounds, calcium carbonate, crystalline aragonite, or cemented sand particles (Wetmore and Ocean World). Forams have been around for millions of years, with their fossils being found at the bottom of the ocean among the sand (Wetmore). There are actually two different classes of forams, the majority are benthic forams that live on or near the seafloor and the rest are planktonic forams that float freely (Ocean World). Forams vary in their sizes, and are best viewed under a microscope. They range from 100 micrometers to almost 20 centimeters long (Wetmore). Heterotrophic forams are either opportunists or other small taxa. An opportunist is an organism that is able to sustain its life from different sources (Biology Dictionary Online). In favorable conditions it immediately takes advantage of the opportunity to thrive. Benthic forams use their pseudopodia for locomotion, and heterotrophic forams use their thin pseudopodia to catch food by extending it from its shell (Ocean World). Autotrophic forams gain energy from photosynthesis and feeding. Sunlight and inorganic nutrients provide food and enhance calcification (Wetmore). The photosynthetic process is limited by the amount of sunlight, carbon dioxide, nitrogen, and both simple sugars and glycerol (Biology Dictionary Online). The sugars and glycerol produced by the foram helps the foram’s host, and the foram will uptake the host’s metabolites, creating a symbiotic relationship. Forams are good ecological indicators, which explains why certain species live at different sites. They are ecological indicators, showing different environments of the present and past causing each species to require certain conditions. Forams can indicate sediment quality, heavy metal pollution, organic pollution, and water quality (A’ziz 2021). They can also trace lagoonal and forereef sediment after storm movement, specifically carbonate sediment sources (Li et al. 1997). In addition, forams can indicate oxygen isotopes in shells, help find oil sites, and aid research with a tracer species of Foraminifera (Li et al. 1998). Scientists use forams for research because they are small for studying, abundant in the ocean, over 500 billion years old, differ in shape with time and depth, have short reproductive cycles, and have trace elements in their shells (Ocean World).

Manufacturing Design Methods
Forty-three samples were collected from coral reefs along the Yucatán Peninsula in a hierarchical design (Fig. 1). Samples were collected from three main sites: 12 from Dick’s, 13 from Yal-Ku, and 18 from Punta Maroma. I used previous research gained from using a microscope and CellSense on the computer to focus on the more abundant foraminifera at the three sites. Out of the 43 samples total, data was collected from each of the three sites, with six transects and varying samples at each. Data collection was random by only identifying a random 300 grains from each sediment sample. After viewing more samples and continuing Foraminifera research, ideas to analyze foram species amounts, scale of the ratio of functional groups, and feeding styles arose.




Environmental Sciences

Modern Human Influence on Forest Dynamics in Northwestern Amazonia



Team Leader(s)
Isabel Bennett

Team Member(s)
Isabel Bennett

Faculty Advisor
Mark Bush

Secondary Faculty Advisor
Austin Fox



Modern Human Influence on Forest Dynamics in Northwestern Amazonia  File Download
Project Summary
The Amazon rainforest contains complex and biodiverse ecosystems, but human activities such as deforestation and agriculture have significantly impacted the region's landscape and biodiversity. Amazonia plays a crucial role as a global carbon sink, processing carbon at up to twice the rate of anthropogenic fossil fuel emissions in 2009. Changes in Amazonian forest dynamics could substantially affect the concentration of atmospheric CO2 and thus the rate of climate change itself. Recent studies suggest a decline in its carbon sequestration capacity, with human disturbance possibly being a factor. This study aims to assess and understand modern forest dynamics and human influence in Northwestern Amazonia using phytolith and charcoal analysis. Our results reveal patterns of human influence across multiple sites, with some exhibiting anthropogenic fire history and an increase in early successional taxa over time. This observed pattern of disturbance suggests a predominant composition of new growth forest, which sequesters less carbon compared to old growth forests. These findings align with recent studies indicating significant human influence in Amazonian landscapes and highlight the importance of considering human activity in discussions about carbon sequestration. Further investigation is warranted to comprehensively assess human impact on forest diversity and carbon dynamics in Northwest Amazonia. This study contributes to understanding the complex relationship between human activity, forest composition, and climate change in Amazonia.


Project Objective
The objective of this study is to assess the extent of human disturbance in Northwestern Amazonia and determine the age of the forest. By understanding modern forest dynamics and human influence in the area, this study aims to contribute to the broader understanding of the relationship between human activity and the potential impacts on carbon sequestration capacity in Amazonia.










Characterizing the Last Interglacial: A Survey of Diatom Populations in a Highland Andean Lake



Team Leader(s)
Rodrigo Sandoval Sanchez

Team Member(s)
Rodrigo Sandoval Sanchez

Faculty Advisor
Dr. Mark Bush




Characterizing the Last Interglacial: A Survey of Diatom Populations in a Highland Andean Lake  File Download
Project Summary
Background: For the last ~2.5 Myr, Earth has undergone periods of glaciation. Between glaciation periods there exist warmer periods called interglacials. The Last interglacial is calculated to have been ca. 115 - 130 kyr ago, corresponding to 1350 cm to 1500 cm in this lake. Changes in climate and vegetation are analyzed via biological proxies such as pollen, charcoal, or diatoms archived in the sediments of lakes. Diatoms are a type of algae whose fossils are well-preserved in lake sediment due to their silicate (glass) shells. Diatoms are highly specific about their habitats depending on the species and genus. Analyzing the population distribution found in a particular lake can tell us about the habitats that were available at different times in the lake’s history. Thus, diatoms tell us about lake depth, salinity, and pH. Methodology: * The sediment core (24 m) was extracted from Lake Piuray, Peru. The core was radiocarbon (14C) dated to infer the sediment age. * Once in lab, samples of ~1g were taken every 10 cm, beginning at 1300 cm, ending at 1500 cm. * Samples were prepared in accordance to the procedure laid out in Battarbee (1986), to eliminate silicates and carbonates from soil and purify diatom content. * Each sample was analyzed for taxonomic classifications of diatoms under a light microscope. The sample size is set at 150. * After the population of a particular sample was tallied, the taxons were categorized by ecological niche.


Project Objective
This project aims to catalog a small portion of one core from the Peruvian Andes. This portion coincides with the accepted region for the Last Interglacial, the Marine Isotope Stage (MIS) 5e.



Analysis
The preliminary results exhibit compositional changes in the diatom population between the upper, central and lower sections of the analyzed portion of the core. Top: increase in planktic and immobile, suggests shallow water body. Middle: benthic and mobile, suggesting a deepening of the lake. Bottom: return to top properties. The above is preliminary data for the lake (Piuray) properties, climatic conditions, and diatom

Future Works
Increase sample size for existing samples Fill in gaps in resolution between 1360 cm and 1500 cm Continue work from current position to end of core (2500 cm)

Other Information
References: [1] Battarbee, R.W., 1986. Handbook of Holocene Palaeoecology and Palaeohydrology. [2] Fritz, S. C., et al.(2012). Evolution of the Lake Titicaca basin and its diatom flora over the last~ 370,000 years. Palaeogeography, Palaeoclimatology, Palaeoecology. [3] Spaulding et al. 2021. Diatoms.org





Factors Affecting Light Availability to Seagrass Beds




Team Member(s)
Corey Gosciminski

Faculty Advisor
Dr. Austin Fox




Project Summary
There are many important water quality parameters for seagrass health in the Indian River Lagoon (IRL). Light is important for seagrass in order to photosynthesize and maintain its health. Due to algal blooms, the light availability to the seagrass (at the time of a bloom) is reduced. Shading from the bloom and other stressors caused seagrass populations to decline in certain areas by 90% in 2011 (Kamerosky et al., 2015). Methods include placing three light sensors at each of the six sites chosen by Brevard Zoo. The light sensors collected data for approximately three months at each site. Dissolved oxygen and chlorophyll data was also collected from St. John’s River Water Management sites. Weather was recorded daily for precipitation and wind to further describe the turbid conditions of the area. Linear regressions were used to compare bottom light to the other environmental factors. It was found that all factors affecting light are statistically significant starting at Tire City and continuing south. Dissolved oxygen affected bottom light while being complimented by the peaks in precipitation, with a lag in the time series for dissolved oxygen increase. Chlorophyll data was used to show if algae was present and affecting light, although algal shading only affected four of the sites (Tire City, Tropical Island Ln, Rhum Cove, and Janero). Wind was also a significant factor, at the four southern sites and average wind at Parrish Medical, where increased turbidity resulted in decreased bottom light levels. High dissolved oxygen results in lower bottom light levels across all sites, except for Parrish Medical. Weather events were also found to decrease light, except for high wind and precipitation at Parrish Medical and both wind speeds at Tom Statham. Tire City and Janero recorded the lowest percent photosynthetic active radiation (% PAR) at the bottom, yet still sufficient amounts for minimum requirements up to 30% for the majority of the time series. Tropical Island Ln, Rhum Cove, Parrish Medical, and Tom Statham observed % PAR that was sufficient for all species over the time series. No abiotic or biotic factor can stand alone in the explanation as to why bottom light increases temporally with a decrease in dissolved oxygen. These factors are important assessments for future seagrass restoration projects.







Other Information
References Google Earth. (2024). [Indian River Lagoon. Brevard County, FL] [Satellite Map] Kamerosky, A., Cho, H., & Morris, L. J., 2015. Monitoring of the 2011 Super Algal Bloom in Indian River Lagoon, FL, USA, Using MERIS. Remote Sensing, 7(2), 1441–1460.





Maximizing Nitrogen Removal in a Bioreactor by Adjusting C:N Ratios and Residence Times



Team Leader(s)
Mary MacDonald

Team Member(s)
Mary MacDonald

Faculty Advisor
Dr. Austin Fox




Project Summary
Simultaneous nitrification-denitrification (SND) is limited when the depletion of oxygen decreases the ability of aerobic bacteria to oxidize nitrogen. In a bioreactor system, nitrification was promoted through the addition of oxygen plus a supplemental carbon source. Building upon previous efforts, both C:N ratios and various residence times were tested to find the best combination of decreased nutrient concentrations and throughput to achieve maximum N removal. The range of carbon-nitrogen molar ratios showed effective removals of dissolved inorganic nitrogen at ratios ≥ 9. Residence times of 5 minutes achieved 95% removal of dissolved inorganic nitrogen (DIN). By increasing the efficiency of nitrogen removal, bioreactors can be a more effective tool in combating eutrophication and improving upon water treatment methods.


Project Objective
The objectives of this study were to (1) identify the optimal carbon source, (2) identify the most efficient C:N ratio using supplemental carbon and (3) improve system efficiency by identifying the ideal residence time required for maximum nutrient removal.

Manufacturing Design Methods
Water from the Indian River Lagoon (IRL) was brought back to Florida Tech Marine Chemistry Lab and pumped continuously through 4, lab scale (1L) bioreactor cells. Bacteria were cultured at experimental conditions for 1 month prior to sample collection.

Specification
Carbon Sources: Based on literature, carbon sources tested included Sucrose, Methanol, Acetic Acid, and Molasses. Carbon concentrations for this experiment used a 9:1 C:N molar ratio and a 0.5-hour residence time. C:N ratios: Carbon to Nitrogen molar ratios ranging from 3 to 35 were tested using sucrose as the supplemental source. Residence Times: Residence (treatment) times ranging from 8 hours to 5 minutes were tested. These residence times were dosed with a C:N molar ratios of 18 and 9 for 8 to 0.5 hours, and 15 to 5 minutes using sucrose, respectively.

Analysis
DIN concentrations from the flow-through treatment show a significant decrease from all the sources 90% DIN removal with all p-values 3 achieved nearly complete removal of DIN removal with all p-values 90% removal of DIN with all p-values 3 were the most efficient. The most efficient residence time for reducing DIN was 5 minutes. Higher throughput with lower % removal can achieve greater overall N removal.

Future Works
This study demonstrates the possibilities of altering supplemental carbon sources, C:N ratios, and residence times to achieve improved system performance by cultivating nitrifying-denitrifying bacteria. Continued study will test additional C:N molar ratios between 9 and 3, even shorter residence times, and test the strength of these parameters with high influent nitrogen.


Manufacturing Design Methods
Water from the Indian River Lagoon (IRL) was brought back to Florida Tech Marine Chemistry Lab and pumped continuously through 4, lab scale (1L) bioreactor cells. Bacteria were cultured at experimental conditions for 1 month prior to sample collection.




The change in sediment elevation around established Rhizophora mangle in the Indian River Lagoon



Team Leader(s)
Kim Braun

Team Member(s)
Kim Braun

Faculty Advisor
Dr. Austin L. Fox




The change in sediment elevation around established Rhizophora mangle in the Indian River Lagoon   File Download
Project Summary
Mangrove forests in tropical and subtropical coastlines worldwide are affected by various climatic and human-induced factors. They offer economic, recreational, and shoreline stabilization benefits. In the Indian River Lagoon (IRL), Red Mangroves (Rhizophora mangle) play a crucial role, with their extensive root systems effectively stabilizing sediment. This study aims to ascertain whether sediment elevation change significantly differs between areas dominated by R. mangle and those without, aiding future shoreline restoration and stabilization efforts. The change in sediment elevation around an established mature red mangrove site and a site with no mangrove establishment is compared in this study over 16 weeks. The sediment elevation change for both sites followed a similar trend, resulting in elevation change that was not significantly different between sites. It was concluded that mangrove forests do not significantly influence sediment elevation change in this area. However, further studies should be conducted over a longer period, and sites should be increased to support future coastal management and enhanced knowledge of mangrove forests.


Project Objective
The objective of this project is to determine whether sediment elevation change significantly differs between areas dominated by Rhizophora mangle and those without.

Manufacturing Design Methods
The study will assess sediment elevation change rates of Rhizophora mangle in the Indian River Lagoon (IRL) using two 30 square feet sites at the Marine Resource Council location in Palm Bay, Florida. One site featured established mangroves while the other served as a control area devoid of mangrove stabilization. Each site had three sediment pins spaced at least 10 cm apart, with measurements taken to the nearest ±1/16 inch. The pins were placed 3 feet away from the mangrove fringe line in the mangrove site to avoid root interference. Data was collected biweekly from October 2023 to February 2024 following US Geological Survey standard operating procedures. Data analysis were involved in recording data in Microsoft Excel, plotting elevation change graphs, and conducting ANOVA tests in RStudio to compare mean elevation changes between mangrove and control sites with a significance level of 0.05.

Specification
A rubber mallet and measuring tape will be used for pin installation and measurement to the nearest ±1/16 inch.

Analysis
The study observed similar temporal trends in sediment elevation change between the mangrove and control sites over 16 weeks, albeit with differing elevation values. Statistical analysis revealed no significant difference in sediment elevation change between the two sites (p 0.05), supported by similar variances (p 0.05). Although the elevation change data did not strictly adhere to a normal distribution (p

Future Works
To investigate the significance of pulses of rainfall and wind, it is suggested that future studies be conducted with a longer period to incorporate several seasons. Moreover, Florida can be severely affected by storms such as Hurricanes, to which mangrove forests become more vulnerable. It is crucial to continue research on mangrove forests and their interaction with their environments to aid future conservation and rehabilitation efforts.


Manufacturing Design Methods
The study will assess sediment elevation change rates of Rhizophora mangle in the Indian River Lagoon (IRL) using two 30 square feet sites at the Marine Resource Council location in Palm Bay, Florida. One site featured established mangroves while the other served as a control area devoid of mangrove stabilization. Each site had three sediment pins spaced at least 10 cm apart, with measurements taken to the nearest ±1/16 inch. The pins were placed 3 feet away from the mangrove fringe line in the mangrove site to avoid root interference. Data was collected biweekly from October 2023 to February 2024 following US Geological Survey standard operating procedures. Data analysis were involved in recording data in Microsoft Excel, plotting elevation change graphs, and conducting ANOVA tests in RStudio to compare mean elevation changes between mangrove and control sites with a significance level of 0.05.




The effects of wind speed on Sargassum placement on Florida Beaches



Team Leader(s)
Ryan Carstens

Team Member(s)
Ryan Carstens

Faculty Advisor
Austin Fox

Secondary Faculty Advisor
Kevin Johnson



The effects of wind speed on Sargassum placement on Florida Beaches  File Download
Project Summary
Sargassum percent cover was quantified using a standard 1 square meter quadrat placed at 5 m intervals along 4 replicated transect from mean high water to the dune. Data was collected at Pelican Beach, located in Satellite Beach, FL bi-weekly from October 2023 through March 2024. Daily average wind data was retrieved from NOAA at Satellite Beach near Magnolia Street. Regression analyses were carried out to search for relationships between the independent variable, wind speed, and the dependent variable, sargassum % cover.


Project Objective
H1: There is a correlation between wind speed and the quantity of sargassum located on Florida beaches. H2: Wind speed effects sargassum placement on Florida beaches by moving it towards the dunes.

Manufacturing Design Methods
A square transect was created by cutting pieces of pvc and putting them into the shape of a 1 meter square. Multiple holes were drilled into the square, and then string was put inside it to make 100 smaller squares, this tool was then used to collect data.

Specification
There are no specifications for this specific project.

Analysis
With respect to wind speed and the quantity of sargassum located on Florida beaches, this was not significant (p 0.05). With respect to wind speed affecting the placement of sargassum on Florida beaches, this was not significant (p 0.05). Figure 2 displays the average wind speed versus the percent cover of sargassum at 0m to demonstrate no pattern in wind speed affecting sargassum placement.

Future Works
Due to the fact that a limited number of past research studies did not focus on wind speed, the current research fills a gap in the literature, but future research studies were identified. First, it is recommended that future research involve data collection on multiple beaches instead of one beach and over longer time periods experiencing a wider range of wind speeds. It is likely that a maximum wind speed of 20 mph was not sufficient to drive sargassum up the beach. Second, the tides are more likely to affect the sargassum placement because the ocean is the origin of the sargassum. Therefore, a future research study should include a focus on how high tide and low tide affects the sargassum quantity.

Other Information
There is no other information that is necessary to know.

Manufacturing Design Methods
A square transect was created by cutting pieces of pvc and putting them into the shape of a 1 meter square. Multiple holes were drilled into the square, and then string was put inside it to make 100 smaller squares, this tool was then used to collect data.




Submerged Groundwater Discharge Diffusion in the Indian River Lagoon, FL

Project Summary
Submerged groundwater within estuarine environments contributes nutrients and salinity to the water column by discharge. Due to the large variation of salinity in estuaries, added salinity from groundwater discharge is significant. To determine the speed of diffusion through the water column, the conductivity and velocity of the discharge were identified. The measurement of groundwater seepage in the Indian River Lagoon aided in determining the lasting effects groundwater has within the water column.












Stressors of Seagrass in the Indian River Lagoon: The effect of Caulerpa prolifera on Halodule wrightii

Project Summary
Halodule wrightii, a prominent seagrass species in the Indian River Lagoon (IRL), has long served as an indicator of environmental health, displaying visible responses to various stressors in the lagoon. However, since 2011, there has been a decline in seagrass and an increase in Caulerpa prolifera (Brewton, et al., 2023). Caulerpa species, macroalgae known for their rapid colonization abilities, could potentially outcompete seagrasses disrupting trophic interactions, and impacting marine life. Caulerpenyne, a chemical compound synthesized by Caulerpa species, acts as a potent deterrent against herbivores and is also a potential phytotoxin that can harm marine flora and fauna. This study aimed to determine if chemical signals from Caulerpa prolifera impacted Halodule wrightii growth in the IRL. For this study, H. wrightii and C. profilera were obtained with the assistance of our partners at Restore Our Shores. Nine mesocosms were established, each planted with 10-16 shoots of H. wrightii in quarry sand and water of 25ppt salinity. C.prolifera and H.wrightii were grounded and liquefied in the Marine Chemistry laboratory. Three mesocosms received liquefied H. wrightii, three received liquefied C. prolifera, and three served as controls. H. wrightii was included to ensure that any observed changes were not solely attributed to nutrient flux resulting from the introduction of C. prolifera, without significantly altering the experiment's conditions. Light penetration was monitored to ensure consistent turbidity during input. Chlorophyll and Phycoerythrin concentrations were measured before, during, and after the experiment. Measurements such as shoot and blade count, mortality count, tallest blade length, average canopy height, and color were recorded over several weeks. The procedure was repeated with adjusted concentrations. Against the anticipated outcome, no significant difference was found in survival percent between the Caulerpa-treated and Control groups. However, the Caulerpa-treated group showcased limited algae growth throughout the study, suggesting Caulerpa’s potential effectiveness in managing algae. Additionally, Chlorophyll concentrations remained relatively constant throughout the study. Future investigations will delve into the potential of C.profilera in its capacity to mitigate algae overgrowth in the Indian River Lagoon. This study shows the promise that Caulerpa may benefit seagrass thus warranting further research.












Meteorology

IMPACTS OF HURRICANE KATRINA DUE TO STORM SURGE AND TOPOGRAPHIC CONDITIONS: WHY ONLY WIND USED TO CATEGORIZE HURRICANES?




Team Member(s)
Fallon Mears

Faculty Advisor
Dr. Milla Costa

Secondary Faculty Advisor
Dr. Steven Lazarus



IMPACTS OF HURRICANE KATRINA DUE TO STORM SURGE AND TOPOGRAPHIC CONDITIONS: WHY ONLY WIND USED TO CATEGORIZE HURRICANES?  File Download
Project Summary
Hurricanes are at the top of the list as the phenomena that cause the most damage and fatalities worldwide, making it critical for accurate prediction and preparedness strategies. In 2005, a catastrophic Hurricane called Katrina caused a rippling effect amongst meteorologists and the National Hurricane Center as a result of the divergence in the numerical models, such as, “spaghetti models” and other forecast tools. Katrina presented a unique behavior for the rapid intensification from Category 1 passing through the southeastern U.S. to a Category 5 in the Gulf of Mexico, finally making landfall in New Orleans, Louisiana (Lat: 29.9511°N, Lon: 90.0715°W) on August 29th as a downgraded Category 3. New Orleans, located on the coast of warm Gulf of Mexico waters, is a uniquely vulnerable city to natural disasters such as hurricanes. The marshes and swamps that envelop the city of New Orleans act as a levee due to their location at the lowest point of New Orleans of about 2 meters. Elevation from the center of the city gradually decreases towards the coastal areas, creating a downward slope and a greater amplitude in the waves that invaded this wetland and continue to propagate into the Mississippi River, Lake Borgne, Lake Pontchartrain, Lake Maurepas, Lake Salvador, and Lac Des Allemands, exceeding their limits of water behavior. The tourist destination city that is widely popular for celebrating Mardi Gras with a lively culture full of blues and jazz music, was unfortunately submerged after the passage of this catastrophic natural phenomenon. As of today, New Orleans is still recovering from nearly 200 billion dollars in damage and causing over 1000 fatalities, with several still missing, mostly due to flooding. This paper focuses on the dynamics of one of the top three deadliest hurricanes in U.S. history. Beyond these conditions are the concerns regarding the intensification and impact of tropical cyclones. This study provides an extensive review of the tropical cyclones in the Gulf Coast, specifically New Orleans. By examining historical data and meteorological intricacies such as forecast errors, sea surface temperatures, pressure tendencies, surrounding low-pressure systems, wind shear, and most importantly storm surge, the aim is to not only explore the complexities of hurricane dynamics but also serve as a foundation for advancing prediction strategies in an escalating uncertainty in climate, especially for vulnerable areas. This paper explores different strategies in predicting intense hurricanes comparable to Katrina and highlights that removing the storm surge parameter in hurricane detection was crucial to defining destruction and casualties, the same problem seen in one of the most recent hurricanes that hit Florida in 2022, Hurricane Ian. Despite the major improvement in technology and data collection, there are still frequent gaps in the forecast models of hurricane path, intensity, and size. The methods used were complex and challenging since data collection from the several airports in New Orleans was compromised by the intense winds and storms of Hurricane Katrina that few still have not repaired to date. Due to this, various resources were used as available reanalysis data, currently, satellite and radar images. However, it should be noted that to use reanalysis data it is necessary to validate the data with surface meteorological stations, though the only surface data available was before Katrina and at least several days afterward. Through reanalysis data and past models compared to post-tropical cyclone reports, there are critical findings, even with the complications of malfunctioning stations to collect observational data to correlate. It is concluded that the difficulties in deciphering the direct path, the intensification of this hurricane within a few hours to a few days, presenting record low atmospheric pressure as well as destructive winds, were essential for the storm to emerge and define the catastrophic impact- as well as the significance of encompassing predicting the magnitude of storm surges prior to a natural disaster instead of implementing in past tropical cyclone reports.






Future Works
Future research is extremely important to provide more support for this study on Hurricane Katrina. The lack of surface data since 2005, before the impact, provides no contribution towards the improvement of numerical models currently used, inducing error and difficulty in making more accurate forecasts of future hurricanes, and elimination of key parameters such as storm surge- since all the coastal states of the U.S. are at a comparable sea level or below.






Inter-Annual Distributions of Rainfall on Hawai’i from a Single Source Rain Shadow



Team Leader(s)
Ryan Koutros

Team Member(s)
Ryan Koutros

Faculty Advisor
Milla Costa

Secondary Faculty Advisor
Connor Welsh



Project Summary
Hawai’i (The Big Island) has one of the most intricate and compact climate systems in the world, owing to drastic elevation differences ranging from sea level to 4,207m at the summit of Mauna Kea and with the island being embedded in a relatively consistent easterly trade wind pattern. This results in Hawai’i hosting several climatic zones including the tropical rainforest, tropical monsoon, tropical savannah, oceanic and subpolar oceanic, Mediterranean, arid and semi arid, and tundra climates in an area of 10,000 square kilometers. Given the small size of the island, synoptic scale meteorology can be assumed to be consistent across the entire island and held constant. Moreover, the island is a shield volcano of a conical shape, drastically reducing the complexity of the more complicated rain shadows generated by mountain ranges. These two factors of small size and comparatively simple geometry makes Hawai’i an excellent case to study the climatic effects of both external forcing of precipitation, moisture and wind, as well as variation in the rain shadow effect related to varying conditions over climatological timescales. This study utilized geospatial analysis and divided the island of Hawai’i into four ordinal quadrants and correlated anomalies in rainfall over a 21 year time series, finding differing levels of correlation between each quadrant pair, ranging from 0.74 at the strongest and 0.37 at the weakest. Furthermore, the study found multiple unique patterns in rainfall anomalies when plotted using a polar coordinate system consisting of meso-network stations traveling clockwise around the island. The usage of IDW interpolation solely utilizing the available stations on the island was found to be ineffectual due to poor spatial resolution and the complexity of rainfall patterns. The key challenges in this study was the large amount of data points which had to be removed during the quality control process due to missing measurements, a uniquely challenging involvement of microscale phenomena and reanalysis data not having the resolution needed to be practical in supplementary interpolation. The most successful reanalysis study to date is available by the University of Hawai’i, and demonstrated modest correlations with the meso-network stations used within this study between reanalysis and observed precipitation. The data however still exhibited significant smoothing of extremes, further highlighting the complexity of accounting for highly localized events in the analysis process. Further studies are being developed to better understand the aspects and behavior of climate systems such as the Hawai’i.






Future Works
Further data analysis of Hawai'i meso-network data in conjunction with natural oscillations such as the ENSO and PDO, as well as meteorological phenomena such atmospheric rivers to further assess patterns and potential create useful indices.






Electrical Characteristics of Ocean and Land-Based Tropical Thunderstorm Gigantic Jet Events in Colombia

Project Summary
This study investigates the electrical characteristics of Gigantic Jets (GJs) during tropical thunderstorm events over both oceanic and land regions in Colombia. Building on the findings of previous research, the electrical properties of storms producing GJs were examined using the Geostationary Lightning Mapper (GLM) data and satellite imagery from NOAA's Advanced Baseline Imager (ABI). Results indicated a marginal increase in flash energy for ocean-based GJs compared to land-based ones. In contrast, land-based events had a significantly higher average count of flashes, groups, and events. When compared to previous research on Hurricane Harvey, the flash energy values were within the expected standard deviations, indicating similar behavior across different GJ-producing storm types. Satellite imagery reinforced that cold ring and enhanced-V features, proposed by Lazarus et al. (2021), are relatively common in GJ storms at or near overshooting tops.







Other Information
References: 1) Boggs, L. D., Liu, N., Peterson, M., Lazarus, S., Splitt, M., Lucena, F., et al. (2019). First observations of gigantic jets from geostationary orbit. Geophysical Research Letters, 46, 3999–4006. https://doi.org/10.1029/2019GL082278 2) Lazarus, S. M., J. Chiappa, H. Besing, M. E. Splitt, & J. A. Riousset (2021). Distinguishing Characteristics of the Tropical Cyclone Gigantic Jet Environment. J. Atmos. Sci., 78, 2741–2761, https://doi.org/10.1175/JAS-D-20-0265.1 3) Van der Velde, O. A., Montanyà, J., López, J. A. (2022). Meteorological factors in the production of gigantic jets by tropical thunderstorms in Colombia, Atmospheric Research, Volume 277, 106316, ISSN 0169-8095, https://doi.org/10.1016/j.atmosres.2022.106316





Climatological Evaluation on Extreme Precipitation in Florida




Team Member(s)
Jozette Conti

Faculty Advisor
Dr. Milla Costa




Climatological Evaluation on Extreme Precipitation in Florida  File Download
Project Summary
Florida is considered one of the wettest states in the United States, receiving around 50 inches of rain annually. Due to the topography and geographical location, excessive precipitation can contribute to flooding, causing damage to communities, agriculture, and ecological systems. Despite its importance, current climate projections cannot accurately predict precipitation variables. Understanding the long-term trend of precipitation extremes across the state could improve meteorological and hydrological forecasting and, in turn, water resource management. This study used observational data from the Florida Automated Weather Network (FAWN) to assess the diverse hydrological systems across the state. One station was selected in each of Florida’s five water management districts (SFWMD, SWFWMD, SJRWMD, SRWMD, and NWFWMD) to comprehensively analyze hydrometeorological trends statewide. The five stations selected for analysis were Quincy, Live Oak, Pierson, Dover, and Homestead, Florida. Twenty years of daily 2m mean temperature and accumulated precipitation data from 2003-2022 were evaluated. Initially, the correlation between the NCEP-NCAR Reanalysis 1 data and the FAWN observational data was analyzed to verify whether this study could use reanalysis. However, the weak correlation between the two datasets for daily precipitation highlighted limitations in the use of reanalysis data for hydrometeorological variables. Therefore, only the FAWN observational data were utilized to examine long-term trends in extreme precipitation in Florida. The daily trends, annual frequencies, and total precipitation amounts were evaluated. Mann-Kendall tests assessed trends for precipitation, temperature, and extreme precipitation events. The results demonstrated a significant increasing trend for accumulated precipitation and air temperatures, which were observed at all observational stations. However, no trend for extreme precipitation events was identified at any station. Nonetheless, the increasing trend in daily precipitation and temperatures poses harmful implications for Florida, negatively impacting the environment, agriculture, and other socio-economic sectors.












Using ENSO to Predict Florida Storminess Associated with Dry Season Tornadoes



Team Leader(s)
Gabriel Taylor

Team Member(s)
Gabriel Taylor

Faculty Advisor
Will Ulrich

Secondary Faculty Advisor
Matt Volkmer



Using ENSO to Predict Florida Storminess Associated with Dry Season Tornadoes  File Download
Project Summary
Florida's strongest tornadoes are most common during the dry season which runs from November through April. It's been determined that warm sea surface temperature anomalies (El Niño) in the Equatorial Pacific Ocean (Niño 3.4 region) increase the likelihood of bringing about the storms that produce these strong tornadoes in the state. This research used logistic regression to create probabilistic forecasts of above and below normal storminess for the state of Florida to aid seasonal forecasting for the National Weather Service office in Melbourne, FL.


Project Objective
Greater forecaster preparedness and alertness of the seasonal and sub-seasonal signals of dry season tornadoes will allow for more effective communication and messaging to those who are most susceptible. Thus, by using SST anomalies in the Niño 3.4 region that are forecastable several months in advance, we can determine dry season storminess probabilities with months of lead time.

Manufacturing Design Methods
Logistic regression is a statistical method for determining the probabilistic outcome of a particular event given a past dataset. In this case, I used Python to create logistic regression equations that determine the likelihood of well below, below, above, and well above normal storminess. The models were trained on past SST anomalies data and the magnitude at which mean sea level pressure dropped below a threshold of 1012 hPa in and around the state of Florida, as it is significantly correlated with the state's tornado occurrences. I've also created an interactive Florida tornado map allow you to filter tornadoes based on ENSO state.

Specification
The logistic regression equations take an input number and then output a probability of a specific occurrence happening. In this case, the input is the Oceanic Niño Index (ONI) which is used to determine the strength and state of ENSO conditions. A total of 12 equations were created for storminess probabilities, the 4 different outcomes listed earlier, and 3 different periods (Nov-Jan, Feb-Apr, and Nov-Apr).

Analysis
Warmer SST anomalies (more positive ONI values) have resulted in stormier dry seasons for the state of Florida. There is a stronger link between these SST anomalies and the second half of the dry season (Feb-Apr), i.e., if an El Niño is present and the dry season sees more storms, most of those occurred in the latter half of the season.

Future Works
Training these statistical models and/or the use of machine learning with input from other oceanic and atmospheric oscillations could provide greater skill in forecasting storminess on shorter time scales.

Other Information
Here is the link to my interactive Florida tornado map: https://experience.arcgis.com/experience/15eed719a01449978cebd3bc9238087c/

Manufacturing Design Methods
Logistic regression is a statistical method for determining the probabilistic outcome of a particular event given a past dataset. In this case, I used Python to create logistic regression equations that determine the likelihood of well below, below, above, and well above normal storminess. The models were trained on past SST anomalies data and the magnitude at which mean sea level pressure dropped below a threshold of 1012 hPa in and around the state of Florida, as it is significantly correlated with the state's tornado occurrences. I've also created an interactive Florida tornado map allow you to filter tornadoes based on ENSO state.




Analysis Of The February 23rd 2016 Pensacola and Ferry Pass Tornado



Team Leader(s)
Shane Rosenberg

Team Member(s)
Shane Rosenberg

Faculty Advisor
Dr. Milla Costa




Project Summary
On February 23rd, 2016, a powerful and uncommon Tornado outbreak produced by a strong line of thunderstorms affected the Gulf Coast States. During this event, multiple tornadoes of varying magnitudes and intensities spawned throughout the Gulf Coast States. However, one of the most notable tornadoes of this system spawned between Pensacola and Ferry Pass, Florida. This significant phenomenon was on the ground for 11 minutes, traveling 8 miles and reaching a top wind speed of 155mph. Throughout this tornado's life, the strength and intensity of the storm varied between EF-1 to EF-3 scale, which describes the first goal of this research paper, which is to understand the conditions and factors that allowed this storm to strengthen. The second goal of this paper is to understand and relate the current effects of the global, synoptic, meso, and micro scales involved in the development of this extremely strong system. Some known factors that caused good conditions for this storm were a strong El Nino effect causing above-average sea temperature anomalies in the Gulf Of Mexico, a Madden-Julian Oscillation causing tropical disturbances, and a stronger-than-normal Aleutian Low. These factors caused uncommon conditions and weather patterns that agreed with predicted conditions required for tornadic thunderstorm formation influenced by conditions present from surface to aloft. Therefore, considering the storm's driving conditions, the main factors that caused the February 23rd, 2016, Pensacola tornado event to exert the characteristics of a tornadic thunderstorm in the middle of February can be explored.












A Case Study: The Onset of the North American Monsoon




Team Member(s)
Michael Hodges

Faculty Advisor
Dr. Milla Costa

Secondary Faculty Advisor
Connor Welch



A Case Study: The Onset of the North American Monsoon  File Download
Project Summary
The importance of this study was to research the intensity and effects of El Nino in the year of 2002 both regionally and globally. The record-breaking 1997-1998 El Nino attracted widespread global media attention because of its intensity and the substantial meteorological and societal impacts. The focus of this study was the North American Monsoon (NAM) and its effects on the global circulation cycle. The NAM is a type of meteorological phenomena that occurs in the desert southwest region of the United States between the months of June though September. The meteorological setup for the North American Monsoon is highly dependent on the position of a high-pressure system located within the Mexican Plateau. This strong high-pressure ridge progressively moves north into the Southwestern United States and eventually positions itself near the ‘Four Corners’ region of the country (this region geographically describes the borders of the states of Utah, Colorado, New Mexico, and Arizona). The location of this high pressure, combined with the effects of El Nino/La Nina (ENSO) cycle will be examined for the year of 2002. A case study for the dates of July 16-17 was examined to determine the onset of the monsoon in Las Vegas, Nevada. Future studies will include a timeline of weather observations leading up to the onset of the NAM in the Southwestern United States to include the precise location of the high pressure in the Mexican Plateau, precipitation data, and wind circulation patterns in relation to the thermal low. Global, synoptic, and mesoscale circulation patterns will also be analyzed to provide an enhanced comprehension of the NAM.






Future Works
Future studies will include a timeline of weather observations leading up to the onset of the NAM in the Southwestern United States to include the precise location of the high pressure in the Mexican Plateau, precipitation data, and wind circulation patterns in relation to the thermal low. Global, synoptic, and mesoscale circulation patterns will also be analyzed to provide an enhanced comprehension of the NAM.






Using ENSO to Predict Florida Storminess Associated with Dry Season Tornadoes



Team Leader(s)
Gabriel Taylor

Team Member(s)
Gabriel Taylor

Faculty Advisor
Will Ulrich

Secondary Faculty Advisor
Matt Volkmer



Using ENSO to Predict Florida Storminess Associated with Dry Season Tornadoes  File Download
Project Summary
Florida's strongest tornadoes are most common during the dry season which runs from November through April. It's been determined that warm sea surface temperature anomalies (El Niño) in the Equatorial Pacific Ocean (Niño 3.4 region) increase the likelihood of bringing about the storms that produce these strong tornadoes in the state. This research used logistic regression to create probabilistic forecasts of above and below normal storminess for the state of Florida to aid seasonal forecasting for the National Weather Service office in Melbourne, FL.


Project Objective
Greater forecaster preparedness and alertness of the seasonal and sub-seasonal signals of dry season tornadoes will allow for more effective communication and messaging to those who are most susceptible. Thus, by using SST anomalies in the Niño 3.4 region that are forecastable several months in advance, we can determine dry season storminess probabilities with months of lead time.

Manufacturing Design Methods
Logistic regression is a statistical method for determining the probabilistic outcome of a particular event given a past dataset. In this case, I used Python to create logistic regression equations that determine the likelihood of well below, below, above, and well above normal storminess. The models were trained on past SST anomalies data and the magnitude at which mean sea level pressure dropped below a threshold of 1012 hPa in and around the state of Florida, as it is significantly correlated with the state's tornado occurrences. I've also created an interactive Florida tornado map allow you to filter tornadoes based on ENSO state.

Specification
The logistic regression equations take an input number and then output a probability of a specific occurrence happening. In this case, the input is the Oceanic Niño Index (ONI) which is used to determine the strength and state of ENSO conditions. A total of 12 equations were created for storminess probabilities, the 4 different outcomes listed earlier, and 3 different periods (Nov-Jan, Feb-Apr, and Nov-Apr).

Analysis
Warmer SST anomalies (more positive ONI values) have resulted in stormier dry seasons for the state of Florida. There is a stronger link between these SST anomalies and the second half of the dry season (Feb-Apr), i.e., if an El Niño is present and the dry season sees more storms, most of those occurred in the latter half of the season.

Future Works
Training these statistical models and/or the use of machine learning with input from other oceanic and atmospheric oscillations could provide greater skill in forecasting storminess on shorter time scales.

Other Information
Here is the link to my interactive Florida tornado map: https://experience.arcgis.com/experience/15eed719a01449978cebd3bc9238087c/

Manufacturing Design Methods
Logistic regression is a statistical method for determining the probabilistic outcome of a particular event given a past dataset. In this case, I used Python to create logistic regression equations that determine the likelihood of well below, below, above, and well above normal storminess. The models were trained on past SST anomalies data and the magnitude at which mean sea level pressure dropped below a threshold of 1012 hPa in and around the state of Florida, as it is significantly correlated with the state's tornado occurrences. I've also created an interactive Florida tornado map allow you to filter tornadoes based on ENSO state.




Sustainability

Fished Reefs Benefit From Marine Protected Areas



Team Leader(s)
Nathaniel Isabella

Team Member(s)
Nathaniel Isabella, Noel Casanova, Declan O’Leary, Allyah Vega

Faculty Advisor
Dr. Ralph G. Turingan




Fished Reefs Benefit From Marine Protected Areas  File Download
Project Summary
Marine protected areas (MPAs) are subsets of traditional fishing grounds that have been closed to fishing as a major component of fisheries management and sustainability programs worldwide. It is hypothesized that MPAs help sustain exploited stocks by either or both mechanisms: larvae spawned in the MPAs recruit into the Adjacent Fished Reefs (AFR), and juveniles and adults emigrate from MPAs into AFRs. Evidence shows that, between MPAs and AFRs, general reef-wide fish density either increases or remains stable over time, and large-bodied fish become increasingly abundant in AFRs over time. These results suggest that, over relatively few years of protection, MPAs promote beneficial shifts in fish population structure throughout the entire reef systems rather than simply maintaining stable populations within their borders. In this study we examined two metrics of fish performance — the trend between a fish's age and growth, and their condition factor. It was found that in all measured species, both the condition factors and estimated age to growth regressions were extremely similar between MPAs and AFRs, with no significant differences being found. These findings support the idea that spill-over mechanisms allow MPAs to benefit nearby areas that aren't under their restrictions, allowing for sustainable fishing to occur while populations still remain stable and capable of replenishment.












Mitigating global climate change by targeting greenhouse-gas emissions at a local scale



Team Leader(s)
Liana van Woesik

Team Member(s)
Liana van Woesik

Faculty Advisor
Dr. Ken Lindeman

Secondary Faculty Advisor
Dr. Emily Ralston



Project Summary
Climate change caused by Greenhouse Gas (GHG) emissions is one of the greatest environmental challenges faced in modern times. There is substantial scientific evidence to prove that GHG emissions are a leading cause of a rapidly warming climate. Therefore, it is essential to implement GHG reduction strategies and policy across scales to mitigate the detrimental consequences of climate change. Inventories of GHG emissions at a local scale, such as the one conducted here for the City of Melbourne, will help drive effective policy for local-scale change that catalyzes a global impact.


Project Objective
1) Create a Greenhouse Gas Inventory and Report for the City of Melbourne, Florida, USA for 2021. 2) Identify key sectors for GHG emission reduction. 3) Visualize the effects of GHG emissions relating to climate change on a global scale.

Manufacturing Design Methods
Greenhouse Gas Inventory Data was sourced from government operations within the City of Melbourne for 3 key sectors of: Energy, Transportation, and Water and Wastewater Treatment. The data was processed in ClearPath software to calculate Carbon Dioxide (CO2) equivalents for all parameters to make a comparable inventory analysis. Identify Key Sectors The results of the Inventory Report were used to pinpoint focus areas where emissions could be most effectively reduced within the municipality. Global Scale Visualization The coding language R was used to create a map of global-temperature anomalies for the last 142 years from NASA record data. An original graphic was also created to show the global effects of GHGs.


Analysis
Buildings and Facilities, which are part of the Energy sector in the City of Melbourne, accounted for the vast majority (51%) of GHG emissions, followed by water and wastewater treatment (33%), vehicle fleet (16%), and then employee commute (

Future Works
Actions to reduce GHG emissions from the key sectors defined in this study will be the focus of present and future climate-action plans for the City of Melbourne. The Inventory Report was provided to the City of Melbourne Beautification and Energy Efficiency Board who brought it forward to the town council as a source of recommendations and baseline data for policy. Clear visuals on global-temperature trends were also produced to highlight the importance of implementing policy to help fight climate change by reducing GHG emissions at local and national scales.

Other Information
Subcategory: Sustainability

Manufacturing Design Methods
Greenhouse Gas Inventory Data was sourced from government operations within the City of Melbourne for 3 key sectors of: Energy, Transportation, and Water and Wastewater Treatment. The data was processed in ClearPath software to calculate Carbon Dioxide (CO2) equivalents for all parameters to make a comparable inventory analysis. Identify Key Sectors The results of the Inventory Report were used to pinpoint focus areas where emissions could be most effectively reduced within the municipality. Global Scale Visualization The coding language R was used to create a map of global-temperature anomalies for the last 142 years from NASA record data. An original graphic was also created to show the global effects of GHGs.




Growth and Survival of Manatee Grass at Different Salinities: A Mesocosm Experiment to Assess Restoration Potential




Team Member(s)
Alicia Lopez, Sailor Scheinkman, and Natalie Sperry

Faculty Advisor
Dr. Emily Ralston, Dr. Austin Fox, and Dr. Ken Lindeman




Project Summary
Manatee grass (Syringodium filiforme) is a common seagrass found in the Indian River Lagoon (IRL). Up to this point, there has been limited research examining the effects of different environmental parameters on manatee grass growth and survival. Salinity has been decreasing in the IRL due to changing climate conditions (Lirman and Cropper, 2003). Examining the tolerance of S. filiforme to lower salinity conditions, may expand their utility in future restoration efforts.This study evaluated the growth and survival of S. filiforme in salinities found throughout the IRL: 10, 15, 20 and 26 ppt. The objectives for this study aimed to uncover the response of S. filiforme to lower salinites with regards to shoot and canopy height and the response of color in relationship to health. Twelve mesocosms were established, each planted with 9-13 shoots of manatee grass in quarry sand. Mesocosms were illuminated with full spectrum 1000W grow lights matched to sunrise and sunset times during the growing season. Seagrass growth and survival was monitored using blade count, shoot count, canopy height, color scoring and chlorophyll concentrations. Shoot count and canopy height varied significantly across the treatments. Twenty ppt had the highest average shoot count and 26 ppt the lowest. Contrary to predictions, 10 ppt had the highest average canopy height. The lowest average shoot and blade counts were observed in the same treatments. Ten ppt had the lowest health in relationship to color and 26 ppt had the highest level of health. This study is important for future restoration efforts as low salinity levels had a lower impact on S. filiforme than expected. Further research on Manatee Grass can focus on other environmental factors that may inhibit its growth in the Northern Indian River Lagoon.












Indialantic Emissions Inventory & Reduction Strategies




Team Member(s)
Sara Lail

Faculty Advisor
Dr. Emily Ralston

Secondary Faculty Advisor
Dr. Ken Lindeman



Indialantic Emissions Inventory & Reduction Strategies  File Download
Project Summary
Climate change is a growing issue affecting humanity and the global environment. Its primary cause is the anthropogenic emission of greenhouse gases (GHGs) such as CO2. This project aims to identify feasible and effective means of reducing GHG emissions on a local government scale in the Town of Indialantic, FL. The objectives of this project were to assemble a GHG emissions inventory and report for the Town of Indialantic, and to identify feasible emissions reduction strategies in town hotspots. Data for the emissions inventory was provided by Florida Power & Light (FPL) and the Town of Indialantic. The inventory was constructed using ICLEI’s ClearPath software, and a report was written using a template provided by ICLEI. Potential means of reducing town emissions were then investigated and compared based on cost and effectiveness. Data for this objective was gathered from relevant businesses and local government, including FPL, NovaCharge, First Light Technologies, and the City of Cape Canaveral. Results from the emissions inventory showed that streetlights were the town’s greatest source of emissions, generating 81 metric tons of CO2 yearly. The next largest contributors were employee commute and buildings & facilities. Based on these results and town interests, research of potential reduction strategies focused on electric vehicle (EV) and solar energy-related upgrades. These potential solutions included a 10-kW rooftop solar array, a 25kW solar canopy, 15 solar streetlights from First Light Technologies, and two dual-port EV charging stations sourced from NovaCharge, ChargePoint, or FPL. The best option was determined to be installation of EV chargers, with NovaCharge being the recommended company due to low costs, reliability, and potential revenue. Moving forward, grants and other funding opportunities will be considered, and permission to continue with the project will be sought from the Mayor and Town Council.












Sustainable Practices for Golf Courses on the Space Coast



Team Leader(s)
John Yates

Team Member(s)
John Yates

Faculty Advisor
Dr. Emily Ralston

Secondary Faculty Advisor
Dr. Ken Lindeman



Project Summary
Golf courses require crucial resources like fertilizers, pesticides, water, and waste management to meet the aesthetic and functional standards expected by players. The purpose of this project is to address these challenges by proposing methods to meet the requirements for golf course management, while minimizing or mitigating financial disadvantages for the courses. By fostering cooperation between environmental experts, course groundskeepers, and local course management, my plan advocates for the adoption of more eco-friendly practices, while saving the industry money and resources. The objectives were to 1) survey local golf courses about their sustainable practices; 2) develop recommendations for reducing the amount and cost of fertilizers and water used; and 3) develop recommendations for better waste management practices. Through literature survey and discussions with managers and employees of the golf courses, I developed recommendations for more sustainable fertilizer/pesticide brands that courses can use without spending more money. Effective waste management practices, including a recycling program turned out to be imperative for local courses in terms of sustainability and reputation with customers. These practices provide golf courses with a more viable solution to long term prosperity.


Project Objective
Find more sustainable ways that golf courses can maintain their courses without costing the company money.










Climate Action Plan Outline & Motivation Survey




Team Member(s)
Anya Johnson, Erin Graham

Faculty Advisor
Dr. Emily Ralston

Secondary Faculty Advisor
Dr. Ken Lindeman



Project Summary
Climate change is a global problem requiring commitment at all scales of society, but current commitments are insufficient. This project encourages and advises Florida Institute of Technology’s (FIT’s) administration on reducing the institution’s climate footprint. It synthesizes a literature review and student survey to offer FIT-centric climate solutions. The survey results and analysis, FIT’s vulnerability to disaster, general planning steps, and example action items are provided in the final report. Students, staff, and faculty should find the document helpful in reducing emissions in their realm of influence. This report will lay the foundations for a future, university-backed mitigation plan.


Project Objective
This project’s aim is to create a CAP blueprint for FIT administration to further develop. Therefore, the objectives are twofold: First, describe students’ baseline readiness for and interest in climate action through a survey of the student body. Second, integrate the survey responses and other resources into a CAP outline document for FIT personnel to use in future planning.



Analysis
The survey results indicate a need and desire for more sustainability education and climate initiatives at FIT. Students demonstrated skepticism of FIT’s climate action, with more than 50% disagreeing or strongly disagreeing that FIT does enough to promote climate action. Most respondents displayed willingness to include climate-friendly practices in their own life. Sustainability engagement scores correlated linearly with sustainability education scores; the more educated someone is, the more likely they are to make climate-conscious decisions. In the free-response sections, students connected climate action to their daily concerns such as safety and comfort. Students had many ideas for the university to improve. The most frequent frustration was uncertainty about campus recycling. These and other conclusions are noted in the CAP outline. The CAP outline is written assuming the audience is unfamiliar with climate change response but proficient in their current fields. FIT’s vulnerability to climate change is explored along with climate-related terminology, mitigation frameworks, and climate action commitments necessary to understand climate action planning. Recommendations for decision makers are provided in the executive summary, discussing solutions to difficult to manage emissions and top-level response. With the basics established, the CAP outline shifts to describing the process and efforts behind creating a climate action document. Finally, mitigation measures spanning 18 classifications are discussed. Some examples can be implemented in conjunction with or without a CAP.

Future Works
Future student projects and university programs can incorporate mechanisms and suggestions from the CAP outline into their daily operations. Students and faculty may be able to conduct research addressing problems and solutions posed in the CAP outline. Further, university administration and department heads can use the CAP outline while initiating their climate commitments. This outline could form the foundation for a future, formal FIT CAP.






Implementation of the Modular Breakwater for Living Shorelines



Team Leader(s)
Matthew Ninesling

Team Member(s)
Matthew Ninesling, Darin Hiraldo

Faculty Advisor
Dr. Emily Ralston

Secondary Faculty Advisor
Dr. Ken Lindeman



Implementation of the Modular Breakwater for Living Shorelines  File Download
Project Summary
The Marine Resources Council (MRC) is a non-profit that installs living shorelines on the Indian River Lagoon to mitigate erosion and enhance marine ecosystems. The living shoreline consists of a breakwater to reduce incoming wave energy, red mangrove trees to naturally stabilize the shoreline and create habitat, and other native plants to help with stabilization and runoff water filtration. The Modular Breakwater for Living Shorelines (MBLS) was designed to specifically create a more favorable hydrodynamic environment for mangrove vegetation by reducing incoming wave energy to levels appropriate for mangrove establishment. The MBLS design comprises individual concrete prisms that stack to create a larger breakwater structure. Due to the favorable hydrodynamic properties and modularity, the MRC sought to utilize the MBLS design for their living shoreline projects. However, due to the complex structure of each prism, an efficient and scalable construction method for the breakwater does not exist. Therefore, in collaboration with the MRC, a method for molding the individual concrete prisms that comprise the breakwater was developed with an emphasis on accessibility and scalability. The finalized mold could produce entire concrete prisms in a simple manner with readily available materials. The mold needed to be composed of easily obtainable materials to reduce production limitations for the MRC. Although the mold was successfully produced during this project, the prism construction method needs to be streamlined, and significant investment must be made to optimize the mold design and prepare for mass production.












Space Coast Sustainable Business Guide



Team Leader(s)
Mary Renaud

Team Member(s)
Mary Renaud, Joshua Howell, Erin Graham

Faculty Advisor
Emily Ralston

Secondary Faculty Advisor
Ken Lindeman



Space Coast Sustainable Business Guide  File Download
Project Summary
In business, sustainability often has a negative connotation due to the lack of knowledge on the subject. One of the main issues with this is the widespread idea that if a company is sustainable, it won’t be as profitable. This notion isn’t correct or constructive in the long term due to the fact that sustainability in business is a continuous commitment and investment. This document provides a comprehensive list of resources and information that’ll be able to aid businesses in the Space Coast in becoming more sustainable in every area. Research was performed to identify the Space Coast’s sustainability needs and develop the web-based business guide. A survey was created for the purpose of identifying and understanding the Space Coast’s sustainability needs. Through the creation of this survey, we were able to outline the topics and resources included in the document. The areas of research include Business, Social, Environmental, and Innovation sustainability. A literature review was conducted to aggregate the resources and information used in the creation of the sustainability document. The Business Guide contains broad resources for education on sustainability tailored to the Space Coast. The promotion of this material will be done through the Marine Resources Council to best target the Space Coast. This will be one of the first steps in educating the public and professional workforce about sustainability and how it can be profitably implemented in more businesses. The next step that will be taken soon is the distribution of the survey. This will lead to narrowing down the topics and resources included in the Business Document.