Charles Sturt University researchers are using innovative technologies to improve water quality, including artificial intelligence (AI) and data mining. They’re conducting data-driven research to revise a water quality index (WQI) that will benefit communities in Australia and around the world.
The research is led by Associate Professor Azizur Rahman, Charles Sturt Statistics and Data Mining Research Group leader, and colleagues, with the National University of Ireland.
The research team’s paper, ‘A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment’, has been published in Water Research, the leading journal in the domain of water science and technology.
Addressing poor water quality
The research addresses issues that have the potential for global impact. Surface water quality poses significant environmental, sociological, and economic risks in many parts of the world, including Australia.
Pollution events can happen in many ways. For example, water events such as rain, winds, and nearby farming and/or mining can affect local river or surface water quality. Similarly, harbour water quality can be impacted by floods or shipping activities. Azizur sheds light on some of the challenges.
“Sustainable management of water resources has become a challenge of critical importance. Surface water plays a key role in environmental ecosystems. And if we ignore advanced developments which can be applied to the assessment process, it will pose significant risks to our societies and the natural environments. This includes health and epidemiological risks.”
Drawing on new technologies
Many countries have adopted policies and guidelines to manage surface water quality and provide more effective water resource management to reverse negative trends.
“The research addresses some of these significant issues with an adaptation of AI in this data science era, especially for assessing coastal water quality. In recent years, a range of tools and techniques have been developed to assess the quality of surface waters and diagnose the health of aquatic ecosystems. However, there are issues in the model structures, applications, sources of model uncertainty and eclipsing problems.
Making a difference in water quality
The updated WQI model and its information outputs can be used to benefit a range of local, state, national and international agencies. These include:
- Local – local river and lake management authorities, farmers using river water for irrigation
- State – NSW Water, NSW Environment, Dam Management, River Management, and the Sydney Harbour Authority
- National – Murray Darling Basin Authority and Great Barrier Reef Management Authority
- International – the European Union Water Framework Directive, integrated river basin management organisations, and other comparable international water management institutes and organisations.
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