Intelligent Water Decisions Research Group

The Intelligent Water Decisions Research Group is working to help people make smart decisions about our most precious resource: Water.

Category: Data-driven decisions

Divide and conquer: how to make it work with alternative water sources and water distribution systems

When it comes to water distribution systems that use alternative water sources, modelling decisions becomes more complex. It becomes much more than the hydraulic components. This paper explains how we are approaching this work, and how it is applied to solve real-world problems.

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Investigating rainfall models: Why a comprehensive and systematic approach is essential

In this article we take a look at why we need comprehensive and systematic evaluation of rainfall models. We also examine a new model evaluation framework, with examples of the framework in action.

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Flood risk, not flood hazard: Benefits of a risk-based approach

This is the first of a series of posts that will look at aspects of flood risk assessment that are key to a good analysis. In this post, I set the scene of a risk-based approach to flood management.

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Water utilities adapt through data-driven decisions

The important decisions made by water utilities need to include considerations of an uncertain future. This may mean that they will need to adapt their thinking.

Five things you may not know about plastic pipes

Here in the Water Group we think, study and learn a lot about pipes. Here are five things about plastic pipes that you may not know.

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4 Reasons why your PhD will benefit from OzEWEX

In December 2016, the Intelligent Water Decisions Group had three PhD students participate in the prestigious OzEWEX Summer Institute. They discovered that the Summer Institute was really beneficial. Read on to find out why.

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Why are scenarios one of the best tools for planning?

Thinking about the future in decision making and planning processes is critical. In this article we look at one of the best tools to do this: Scenario planning.

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Representing new climate with old data: Why is it useful and how to achieve it?

Can you tell how probable it is that Adelaide city will be flooded by the River Torrens in 2070 under potential climate change? In this article we look at modelling possible climate conditions, with realistic outcomes.

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Use multiple evapotranspiration models more easily with this R package

Did you know that over 60% continental precipitation is lost through evapotranspiration (ET) globally?  This is why modelling ET has great significance. But, doing it is difficult, particularly considering the large number of models available. This article illustrates how estimating ET is made easy with this R package. The R package enables the use of 17 well-known ET models in a consistent manner.

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How influence will make you worry about model predictions

Influential data have a disproportionate impact on model predictions. This post introduces concepts of influence, as an untapped resource, to provide exciting new insights into the role of data in model calibration.

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