Waterwise

Project Info

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Project Description


Problem

The water supply has been unstable across the years in Australia. Given the heavy reliance on rainfall,
focus on water conservation has been put on streamflow control.

However, things can be done more household basis. While water consumption remains consistently high, the visualizaton on the consumption per facility is missing.

Solution

We would like to introduce a mechanism that can encourage citizens to keep track of their water consumption,
while incorporating some social and gamification aspect so as to make water saving part of their daily life.
In this way, the small steps in water saving can be encouraged, in a fun way!

The details of solution is below:

Data analytics dashboard

Compare

Social

Alert

Incentive


Data Story


Why DROP?

When we look at the current water situation in Australia, we could see a large area of arid inland, inter-regional water imbalance, unstable accessible water volume and increasing water demand.


[Reference]: http://www.bom.gov.au/water/dashboards/#/water-storages/summary/state

Let's focus deeper on Melbourne Water situation.

The picture below shows the water storage and precipitation at four major dams in Melbourne.
On one hand, water supply comes from water storage in dams. There are two sources of water storage. One is from rain fall, which is the upper part of the picture. The other source is from streamflow, which is shown in the lower chart. However, we notice that both rain fall and streamflow experience high unstability over years. Dry year and wet year take place by turn.On the other hand, Water demand, which is drawn out in grey line in the lower chart, clearly shows an increasing trend year by year. From year 2007, water usage is surging.

As a result, we can't count on a changing water supply, the only thing we could do is lower water demand. By developing DROP, a water saving APP that helps to plan home water usage, we hope to raise awareness from each individual to save water. We believe EVERY DROP COUNTS.


Evidence of Work

Video

Homepage

High-Res Image

Team DataSets

Observed Daily Rainfall (at the 4 Major Harvesting Storage Dams)

Description of Use: Firstly, we calculate the average rainfall volume of each year from 1947 to March 2019. It's obvious the average yearly rainfall fluctuates. The highest rainfall volume is 15.8mm in 2011, and then it begins to decline. Our conclusion is that the water storage is unstable.

Data Set

Observed Daily Water Storage Dam Volumes operated by Melbourne Water

Description of Use: We use the median of water storage volume of each year from 1947 to March 2019, and we find it is very unstable. Although the water storage volume is quite high during 1987 to 2012, the volume in recent years is less than resident usage consumption. Our conclusion is the water storage is unstable.

Data Set

Total Daily Water Volume Supplied by Melbourne Water

Description of Use: After analyzing the dataset, we find that the Total Daily Water Volume Supplied by Melbourne Water gradually increases as time passes, from 1947 to March 2019. Therefore, it shows that the resident water volume consumption also increases. Saving water is an urgent issue.

Data Set

Challenges

Public Transport for the Future

Region: International

Challenge

Helping Start-ups and New Small Businesses in Australia

Region: Australia

Challenge

Waterwise

Region: Australia

Challenge

Innovative ways to be efficient with water

Region: Australia

Challenge

Optimise energy and water resource planning

Region: International

Challenge

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