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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |