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Prediction tool designed at UNR shows how forest thinning may increase Sierra Nevada snowpack

RENO The forest of the Sierra Nevada mountains is an important resource for the surrounding communities in Nevada and California. Thinning the forest by removing trees by hand or using heavy machinery is one of the few tools available to manage forests.

Artificial intelligence predicts river water quality with weather data

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. Image: iStock/@486755202 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.

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