Project Team Members: Riley Batilla, Danielle Gable, Westin Hart, Daniel Jordan, Jake Keenan, Jacob Mendez,
and Sho Sakane
Many people live near bodies of water which on occasion produce flooding. Oftentimes,
people notice flooding when roads become obstructed due to rising water levels. Many
of these roads are critical infrastructure for residents, who use these roads to acquire
necessary goods, earn a living, and help those in need. Most people are completely
unaware of their own risk to flooding until after it has damaged their home, disrupted
their travels, or otherwise caused them harm. Our tool, Tennessee Tech’s FloodTools,
aims to assist in creating a more informed populace and assist disaster and emergency
managers by providing four primary functions:
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Display a real-time approximation of how water is positioned on a map (with streets,
buildings, etc.), based on heights collected from sensors and other data sources.
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Allow users to create alerts based on a specified water level at one or more sensors.
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Host this system online such that anyone with access can use the tool.
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Make our project’s methods transparent, such that additional data sources (i.e. other
sensors, newer street-data, etc.),or tools can be added to improve the functionality
of the system over time.
The following paragraph describes the usage FloodTools aims to accommodate. A user
navigates to our website, hosted on Tennessee Tech’s network. This user can create
an account, and configure alerts for themselves, by selecting one or more sensors
and water levels. This alert would send them an email once their selected sensor detects
a water level greater than their specified threshold. Additionally, users can view
high quality, detailed map data for the entire South-Eastern United States. By leveraging
this map data alongside rendering tools and geological data, our tool can display
which areas on the map are likely to be covered in water. The map data includes a
multitude of features, such as the names of rivers, lakes, roads, interstates, etc.,
which provide context to the users. In addition to providing real-time data, our tool
enables hypothetical projections, based on a provided water level. This feature could
enable users to prepare in advance of high-water events, by observing which routes
are likely to be inaccessible. In summary, our online tool will provide users with
a projection of how water is likely to be located based on multiple data sources and
our own rendering methods.