Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method
This study proposes an unsupervised Self-Organizing Map (SOM) approach to enhance saturated hydraulic conductivity (ksat) estimation. Using the extensive FLSOIL database of 6,487 soil samples from Florida, the SOM-based ksat estimation model is optimized based on map size and feature selection, then...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Soils and Foundations |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0038080625000356 |
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| author | Kyeongmo Koo Hyunki Kim |
| author_facet | Kyeongmo Koo Hyunki Kim |
| author_sort | Kyeongmo Koo |
| collection | DOAJ |
| description | This study proposes an unsupervised Self-Organizing Map (SOM) approach to enhance saturated hydraulic conductivity (ksat) estimation. Using the extensive FLSOIL database of 6,487 soil samples from Florida, the SOM-based ksat estimation model is optimized based on map size and feature selection, then compared with seven empirical equations and three supervised machine learning models. Unlike the other methods, the SOM-based approach provides a probabilistic distribution of ksat, enabling reliability-based design-value determination. Moreover, refining input features particularly by including specific surface area and Kozeny–Carman derived formulas improves accuracy and mitigates bias by the model features, especially in fine-grained soils. |
| format | Article |
| id | doaj-art-7f60ba5be782456cba3fb0859140f8bf |
| institution | Kabale University |
| issn | 2524-1788 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Soils and Foundations |
| spelling | doaj-art-7f60ba5be782456cba3fb0859140f8bf2025-08-20T03:29:10ZengElsevierSoils and Foundations2524-17882025-06-0165310160110.1016/j.sandf.2025.101601Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map methodKyeongmo Koo0Hyunki Kim1Dept. of Civil & Environmental Engineering, Kookmin University, South KoreaCorresponding author.; Dept. of Civil & Environmental Engineering, Kookmin University, South KoreaThis study proposes an unsupervised Self-Organizing Map (SOM) approach to enhance saturated hydraulic conductivity (ksat) estimation. Using the extensive FLSOIL database of 6,487 soil samples from Florida, the SOM-based ksat estimation model is optimized based on map size and feature selection, then compared with seven empirical equations and three supervised machine learning models. Unlike the other methods, the SOM-based approach provides a probabilistic distribution of ksat, enabling reliability-based design-value determination. Moreover, refining input features particularly by including specific surface area and Kozeny–Carman derived formulas improves accuracy and mitigates bias by the model features, especially in fine-grained soils.http://www.sciencedirect.com/science/article/pii/S0038080625000356Hydraulic ConductivitySelf-Organizing MapUnsupervised Machine LearningReliability |
| spellingShingle | Kyeongmo Koo Hyunki Kim Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method Soils and Foundations Hydraulic Conductivity Self-Organizing Map Unsupervised Machine Learning Reliability |
| title | Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method |
| title_full | Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method |
| title_fullStr | Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method |
| title_full_unstemmed | Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method |
| title_short | Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method |
| title_sort | stochastic estimation of soil hydraulic conductivity utilizing self organizing map method |
| topic | Hydraulic Conductivity Self-Organizing Map Unsupervised Machine Learning Reliability |
| url | http://www.sciencedirect.com/science/article/pii/S0038080625000356 |
| work_keys_str_mv | AT kyeongmokoo stochasticestimationofsoilhydraulicconductivityutilizingselforganizingmapmethod AT hyunkikim stochasticestimationofsoilhydraulicconductivityutilizingselforganizingmapmethod |