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Enhancing flood susceptibility predictions by using certainty factor in non-flood selection: a case study of Guangdong Province with four tree-based machine learning models

Crossref DOI link: https://doi.org/10.1007/s00477-025-03012-1

Published Online: 2025-06-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yang, Jian

Chen, Sixiao

Duan, Zhongdong

Tang, Yanan

Lu, Ping
Funding

Funding for this research was provided by:

The State Funded Postdoctoral Fellowships Program (GZB20230966)

National Key R&D Program of China (2023YFC3008503)

National Natural Science Foundation of China (52239008)

the Shenzhen Science and Technology Program (KQTD20210811090112003)
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Text and Data Mining valid from 2025-06-02

Version of Record valid from 2025-06-02
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Article History

Accepted: 2 May 2025

First Online: 2 June 2025

Declarations

:

: The authors declare no conflict of interest.

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