Title:

Analyzing Storm Events Impact on Rivers

Poster

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Abstract

Storms have a large impact on river ecosystems. They cause drastic changes in flow rate in rivers, however they also bring large amounts of contaminants with them through runoff from roads and mountains, which can be harmful. For example large amounts of salt from road runoff can drastically alter a river's environment, making it potentially uninhabitable for some species. Our goal is to provide researchers with a command line interface (CLI) to help them isolate storm events for more targeted analysis. The CLI can train and test machine learning models, create visualizations of storm progression, and classify storms based on the type of progression. To create this CLI we’ve used data processing and machine learning techniques such as Convolutional Neural Networks to give the researchers the tools to model the relationships between storm events and river conditions.

Authors

First Name Last Name
Kevin Rhoades
Derek Riccardi
Dylan O'Keeffe

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Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Computer Science (ISE)
Group Data Science
Added April 25, 2021, 5:22 p.m.
Updated April 19, 2023, 10:39 a.m.
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