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- Computational modeling (2)
- Forest Park (Portland Or.) (2)
- User interfaces (Computer systems) -- Design (2)
- Wilderness areas -- Oregon -- Portland Metropolitan Area -- Recreational use (2)
- COVID-19 Pandemic (2020- ) (1)
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- City planning -- Environmental aspects (1)
- Cycling -- Route choice (1)
- Hydrologic models (1)
- Kidneys (1)
- Kidneys -- Physiology (1)
- Multiagent systems (1)
- Pregnancy (1)
- Radiation -- Measurement (1)
- Route choice (1)
- Running -- Route choice (1)
- Running -- Training (1)
- Urban runoff -- Management (1)
- Urban runoff -- Mathematical models (1)
Articles 1 - 7 of 7
Full-Text Articles in Engineering
Exploring How Antecedent Precipitation Amount And The Effects Of Covid-19 Affect Stormwater Runoff Quality Along Urban Gradients, Daniel Ramirez, Katherine Gelsey
Exploring How Antecedent Precipitation Amount And The Effects Of Covid-19 Affect Stormwater Runoff Quality Along Urban Gradients, Daniel Ramirez, Katherine Gelsey
REU Final Reports
Stormwater runoff quality is affected by a multitude of factors including surrounding land characteristics, human activities, and antecedent precipitation amounts. We explore how seasonal and variable precipitation affect E. Coli, total suspended solids, nitrogen-nitrate, orthophosphate, lead, and zinc concentrations in Portland, OR, USA. Correlation analysis was conducted between the pollutant concentrations and antecedent rainfall each sample site received for the previous 1, 3, 5, 7, and 30 days from when the sample was taken. We ran Mann-Whitney tests to determine if the levels of the pollutants were statistically different between the wet season and the dry season. We found that …
Modeling Renal Function During Pregnancy, Christina A. Valtierra
Modeling Renal Function During Pregnancy, Christina A. Valtierra
REU Final Reports
The main goal of this research project is to build a computational model that illustrates the main processes in renal function during pregnancy. The analysis of how pregnancy affects all the factors that take place within the kidney will allow for a better understanding of how pathologies like proteinuria, hypertension, and glomerular endotheliosis develop. This model is a small part of a more complex model that showcases the complete pathophysiology of preeclampsia.
Digitally Reporting Trail Obstructions In Forest Park, Colton S. Maybee
Digitally Reporting Trail Obstructions In Forest Park, Colton S. Maybee
REU Final Reports
The inclusion of technology on the trail can lead to better experiences for everyone involved in the hobby. Hikers can play a more prominent role in the maintenance of the trails by being able to provide better reports of obstructions while directly on the trail. This paper goes into the project of revamping the obstruction report system applied at Forest Park in Portland, Oregon. Most of my contributions to the project focus on mobile app development with some research into path planning algorithms related to the continuations of this project.
Agent-Based Activity Generation Of Runners For City Infrastructure Planning, Quang Le
Agent-Based Activity Generation Of Runners For City Infrastructure Planning, Quang Le
REU Final Reports
Since the pandemic started, many gyms and indoor classes have been shut down to mitigate the spread of Coronavirus. Many people have been forced to get onto pavement streets to get some fresh air while running around and coping with the new reality. There are over 60 million runners in the U.S., and that number is growing rapidly during this time without any sign of stopping once life gets back to normal. In this project, an agent-based model has been developed to generate a set of routes that runners would take in their daily run in a neighborhood of Portland …
Finding Lonely Routes For Runners And Bikers, Ethan T. Spicher
Finding Lonely Routes For Runners And Bikers, Ethan T. Spicher
REU Final Reports
With COVID-19 raging around the world, personal health is even more important to a lot of people. One way to maintain good physical and mental health is to exercise according to Deslandes [2]. When exercising it may be important to make sure that you are running/biking on trails that are less populated than others, as well as taking into account the distance. This can be solved by creating an algorithm that allows the user to choose the starting and end point, and the algorithm will then find the optimal path between the two points with the distance and popularity of …
Forest Park Trail Monitoring, Adan Robles, Colton S. Maybee, Erin Dougherty
Forest Park Trail Monitoring, Adan Robles, Colton S. Maybee, Erin Dougherty
REU Final Reports
Forest Park, one of the largest public parks in the United States with over 40 trails to pick from when planning a hiking trip. One of the main problems this park has is that there are too many trails, and a lot of the trails extend over 3 miles. Due to these circumstances’ trails are not checked frequently and hikers are forced to hike trails in the area with no warnings of potential hazards they can encounter. In this paper I researched how Forest Park currently monitors its trails and then set up a goal to solve the problem. We …
Multi-Agent Radiation Localization, Teresa Nguyen
Multi-Agent Radiation Localization, Teresa Nguyen
REU Final Reports
Advancement of radiation detection technology is an ongoing process, and adjustments are made based on pre-existing conditions of radiation presence--both natural and man made. Tools that are currently used for safely detecting radiation in urban environments exist in several forms: drones, robots, or handheld radiation detection devices. This is a harm reductive way to explore radiation-infected environments while preserving human health as best as possible. In order for these autonomous platforms to successfully detect radiation sources, an algorithm needs to be created that is capable of gathering crucial data on its own with little to no human interference. Machine learning …