Professor proposes using artificial intelligence to predict aquatic ecosystem health

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Lassonde School of Engineering Professor Usman Khan‘s research on the measurement of aquatic ecosystem health has been published in the journal Water.

In the paper, Khan proposes an approach based on artificial intelligence to predict dissolved oxygen in an urban river environment.

Lassonde School of Engineering Professor Usman Khan‘s research on the measurement of aquatic ecosystem health has been published in the journal Water.

In the paper, Khan proposes an approach based on artificial intelligence to predict dissolved oxygen in an urban river environment.

Dissolved oxygen concentration in a water body is the most fundamental indicator of overall aquatic ecosystem health. Having a sophisticated measuring system to assess the health of these precious reserves is essential.

In urban areas, numerous factors, such as land use changes, can contribute to lowering of dissolved oxygen concentration in rivers, which can have devastating effects on ecosystems.

 

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