Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems
CC-BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00477-023-02436-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8703 |
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oai:localhost:PNK-87032023-08-07T02:58:38Z Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems Varouchakis, Emmanouil A. Solomatine, Dimitri Perez, Gerald A. Corzo geostatistics and self-organizing complex hydrogeological systems CC-BY Successful modelling of the groundwater level variations in hydrogeological systems in complex formations considerably depends on spatial and temporal data availability and knowledge of the boundary conditions. Geostatistics plays an important role in model-related data analysis and preparation, but has specific limitations when the aquifer system is inhomogeneous. This study combines geostatistics with machine learning approaches to solve problems in complex aquifer systems. Herein, the emphasis is given to cases where the available dataset is large and randomly distributed in the different aquifer types of the hydrogeological system. Self-Organizing Maps can be applied to identify locally similar input data, to substitute the usually uncertain correlation length of the variogram model that estimates the correlated neighborhood, and then by means of Transgaussian Kriging to estimate the bias corrected spatial distribution of groundwater level. 2023-08-07T02:58:37Z 2023-08-07T02:58:37Z 2023 Book https://link.springer.com/article/10.1007/s00477-023-02436-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8703 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
geostatistics and self-organizing complex hydrogeological systems |
| spellingShingle |
geostatistics and self-organizing complex hydrogeological systems Varouchakis, Emmanouil A. Solomatine, Dimitri Perez, Gerald A. Corzo Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| description |
CC-BY |
| format |
Book |
| author |
Varouchakis, Emmanouil A. Solomatine, Dimitri Perez, Gerald A. Corzo |
| author_facet |
Varouchakis, Emmanouil A. Solomatine, Dimitri Perez, Gerald A. Corzo |
| author_sort |
Varouchakis, Emmanouil A. |
| title |
Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| title_short |
Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| title_full |
Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| title_fullStr |
Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| title_full_unstemmed |
Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| title_sort |
combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00477-023-02436-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/8703 |
| _version_ |
1773599512145690624 |
| score |
8.891695 |