Prediction of the abundance of ferromanganese nodules using Gaussian Process Regression based on multisource geological data in the western Pacific deep-sea basin

Yong Yang; Hong Song; Shuang Hong; Xiaobing Li; Jiangbo Ren; Yonggang Liu; Miao Yu; Gaowen He

doi:https://doi.org/10.5194/egusphere-egu25-7895

[Back] [Session ERE4.1]

EGU25-7895, updated on 14 Mar 2025

https://doi.org/10.5194/egusphere-egu25-7895

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Prediction of the abundance of ferromanganese nodules using Gaussian Process Regression based on multisource geological data in the western Pacific deep-sea basin

Yong Yang^1,3, Hong Song², Shuang Hong^1,3, Xiaobing Li², Jiangbo Ren², Yonggang Liu^1,3, Miao Yu^1,3, and Gaowen He^1,3

Yong Yang et al.

¹Key Laboratory of Marine Mineral Resoures, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey,Guangzhou, China (yong0913029@163.com)
²Zhejiang University, Hangzhou, 316021, China
³National Engineering Research Center for Gas Hydrate Exploration and Development, Guangzhou, 511458, China

How to cite: Yang, Y., Song, H., Hong, S., Li, X., Ren, J., Liu, Y., Yu, M., and He, G.: Prediction of the abundance of ferromanganese nodules using Gaussian Process Regression based on multisource geological data in the western Pacific deep-sea basin, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7895, https://doi.org/10.5194/egusphere-egu25-7895, 2025.

This abstract has been withdrawn on 25 Jul 2025.