Flood
Jan 2021
Webapp to visualize areas at risk to flooding (Archived)
lakeesiv/flood
- Dash
About
This is the Part IA Lent Term computing activity at the Department of Engineering, University of Cambridge done by
- Lakee Sivaraya (ls914)
- Frank McMullan (fm528)
The activty involves using real-time river level data at nearly 2000 monitoring stations that is made available by the Department for Environment Food and Rural Affairs (DEFRA) at https://environment.data.gov.uk/
As a team we had to complete the Tasks found here
Website
As an extension I created a web interface using Dash, to visualize areas at risk of flooding. The approach I took to create this was:
- Firstly store all of the weather stations data (geographical location, name, risk) in a pandas dataframe
- Map the severity to a specific color and marke style
- Create an Dash app with a plotly graph element and a dropdown box
- Add callbacks to display the data, and show the selected data from the dropdown box