
Science Advances
- Volume 8
- Issue 12
- 25 Mar 2022

ONLINE COVER The East River watershed in Colorado. Understanding the bedrock properties of the watershed and related feedback of environmental disturbances to groundwater can help improve downstream water management. Conventional approaches are highly localized and make it difficult to estimate on a regional scale. Uhlemann et al., applied machine learning to analyze geophysical and remote sensing data as well as near-surface geophysics of the area and created a detailed model of the East River watershed’s belowground properties. This method can help predict how regions like watersheds and coastal systems will respond to disruptions caused by climate change.
Credit: Jeremy Snyder- Thomas Walle
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Science Advances is the American Association for the Advancement of Science’s (AAAS) open access multidisciplinary journal, publishing impactful research papers and reviews in any area of science, in both disciplinary-specific and broad, interdisciplinary areas.
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