Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics

Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics

<jats:p>Bedrock property quantification is critical for predicting the hydrological response of watersheds to climate disturbances. Estimating bedrock hydraulic properties over watershed scales is inherently difficult, particularly in fracture-dominated regions. Our analysis tests the covariab...

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Bibliographic Details
Main Authors: Uhlemann, Sebastian, Dafflon, Baptiste, Wainwright, Haruko Murakami, Williams, Kenneth Hurst, Minsley, Burke, Zamudio, Katrina, Carr, Bradley, Falco, Nicola, Ulrich, Craig, Hubbard, Susan
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2023
Online Access:https://hdl.handle.net/1721.1/147621

Internet

https://hdl.handle.net/1721.1/147621

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