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Machine learning-based anomaly detection of groundwater microdynamics: case study of Chengdu, China

Detection of subsurface hydrodynamic anomalies plays a significant role in groundwater resource management and environmental monitoring. In this paper, based on data from the groundwater level, atmospheric pressure, and precipitation in the Chengdu area of China, a method for detecting outliers cons...

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Detalles Bibliográficos
Autores principales:	Shi, Haoxin, Guo, Jian, Deng, Yuandong, Qin, Zixuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485069/ https://www.ncbi.nlm.nih.gov/pubmed/37679353 http://dx.doi.org/10.1038/s41598-023-38447-5

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