Geospatial modeling of near subsurface temperatures of the contiguous United States for assessment of materials degradation

Abstract Understanding subsurface temperature variations is crucial for assessing material degradation in underground structures. This study maps subsurface temperatures across the contiguous United States for depths from 50 to 3500 m, comparing linear interpolation, gradient boosting (LightGBM), ne...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jonathan E. Gordon, Olatunde D. Akanbi, Deepa C. Bhuvanagiri, Hope E. Omodolor, Vibha Mandayam, Roger H. French, Jeffrey M. Yarus, Erika I. Barcelos
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-01-01
Sarja:	Scientific Reports
Aiheet:	Subsurface temperature Temperature interpolation Geothermal gradient Kriging LightGBM Machine learning
Linkit:	https://doi.org/10.1038/s41598-024-85050-3
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