Model forecasts dissolved oxygen levels across the country despite lack of water chemistry data
A Penn State-led team of researchers is using weather data, such as precipitation, air temperature and vapor pressure, to forecast dissolved oxygen concentrations in remote rivers across the country.
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Artificial intelligence predicts river water quality with weather data
Tim Schley
May 19, 2021
UNIVERSITY PARK, Pa. The difficulty and expense of collecting river water samples in remote areas has led to significant and in some cases, decades-long gaps in available water chemistry data, according to a Penn State-led team of researchers. The team is using artificial intelligence (AI) to predict water quality and fill the gaps in the data. Their efforts could lead to an improved understanding of how rivers react to human disturbances and climate change.