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...

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Autori principali:	Jonathan E. Gordon, Olatunde D. Akanbi, Deepa C. Bhuvanagiri, Hope E. Omodolor, Vibha Mandayam, Roger H. French, Jeffrey M. Yarus, Erika I. Barcelos
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-01-01
Serie:	Scientific Reports
Soggetti:	Subsurface temperature Temperature interpolation Geothermal gradient Kriging LightGBM Machine learning
Accesso online:	https://doi.org/10.1038/s41598-024-85050-3
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