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