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

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 covariability of above...

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Detalles Bibliográficos
Autores principales: Uhlemann, Sebastian, Dafflon, Baptiste, Wainwright, Haruko Murakami, Williams, Kenneth Hurst, Minsley, Burke, Zamudio, Katrina, Carr, Bradley, Falco, Nicola, Ulrich, Craig, Hubbard, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Earth, Environmental, Ecological, and Space Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942364/
https://www.ncbi.nlm.nih.gov/pubmed/35319978
http://dx.doi.org/10.1126/sciadv.abj2479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942364/
https://www.ncbi.nlm.nih.gov/pubmed/35319978
http://dx.doi.org/10.1126/sciadv.abj2479

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