Community design for flood mitigation
How might we use data to identify and improve water management for our regions?
Go to Challenge | 1 team has entered this challenge.
Team Name:
28eyes
Team Members:
PipeWatch
Project Info
Team Name
28eyes
Team Members
Emma , Jy , Sean , DK , Lite , Mark , Jun
Project Description
Problems we found
- On the 17th of August 2022, the slip from floods also caused damage to water pipes in Nelson, leading to failure in restoring the main water supply line from the Maitai Reservoir to Nelson city. It took two days since the damage to supply water through a secondary pipe with a much-reduced flow rate and volume (Stuff, 2022)
- 411,000 buildings, 19,000km of road, 15,000km of railway, 20 airports, 3,400km of electrical transmission lines and 21,000km of water pipes in flood hazard zones across the whole of New Zealand (NIWA, 2019).
- It is estimated that 675,000 people are at risk of surface or river flooding (The Spinoff, 2019)
We can solve the problems by
- Providing users the flow performance to monitor water flow rates and identify low-performing pipes and abnormalities
- Colour coding the pipes based on their flow performance.
- Offering an early warning system using the sensors that detects the water flow and level.
- Identifying and fixing bottlenecking pipelines that have low water flow performance.
- Helping users to make informed decisions to respond and recover from flood events effectively and efficiently.
https://ec.europa.eu/environment/water/flood_risk/pdf/flooding_bestpractice.pdf
https://thespinoff.co.nz/climate/floods/
Source code URLS:
Data Story
We used the Three Waters pipelines data to be able to identify the pipe fixtures around the Christchurch/Canterbury region.
This in combination with Google Maps allows us to visualise where all the pipes are.
Team DataSets
Litter Intelligence
Description of Use Waterway drainage network information and litter information retrieved from the dataset, to show on the application.
Canterbury Stormwater Pipelines
Description of Use Stormwater pipeline network information retrieved from the dataset, to show on the application.
Challenge Entries
Reduce waste dumped in our waterways
How can we use data to create actionable insights that reduce pollution around our city waterways, improve water quality, protect our sea life and positively impact the food chain?
Go to Challenge | 2 teams have entered this challenge.
Best Creative Use of Data in Response to ESG (NZ)
How can you showcase data in a creative manner to respond to ESG challenges? How can we present and visualise data to stimulate conversation and promote change?
Go to Challenge | 4 teams have entered this challenge.