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Bulletin of Engineering Geology and the Environment

Correction to: Machine learning of three‑dimensional subsurface geological model for a reclamation site in Hong Kong

  • 01-04-2023
  • Correction
Published in:
Authors
Chao Shi
Yu Wang
Published in
Bulletin of Engineering Geology and the Environment | Issue 4/2023

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Excerpt

The article corrects a previously published study on the application of machine learning to develop a three-dimensional subsurface geological model for a reclamation site in Hong Kong. The correction involves updating Figure 8 and its caption, ensuring the accuracy of the geological data interpretation. This model is essential for understanding the subsurface conditions and supporting safe and effective reclamation activities. The use of machine learning in geological modeling offers advanced techniques for predicting subsurface properties, enhancing the reliability of geological data, and aiding in environmental risk assessment. The corrected article ensures that professionals and researchers have access to precise and reliable information, which is critical for informed decision-making in geotechnical and environmental projects.
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Title
Correction to: Machine learning of three‑dimensional subsurface geological model for a reclamation site in Hong Kong
Authors
Chao Shi
Yu Wang
Publication date
01-04-2023
Publisher
Springer Berlin Heidelberg
Published in
Bulletin of Engineering Geology and the Environment / Issue 4/2023
Print ISSN: 1435-9529
Electronic ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-023-03171-x

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