EM-T1Stochastic Environmental Research and Risk Assessment2025-06-02第 39 卷第 7 期，3123-3146

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

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洪涝风险与减灾金融风险与机器学习 flood susceptibility certainty factor flood inventory flood risk management tree-based machine learning flood susceptibility mapping Pearl River Basin Guangdong flood risk mitigation

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Stochastic Environmental Research and Risk AssessmentSpringer-Verlag

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引用这篇

YANG J M, CHEN S, DUAN Z, et al. 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[J]. Stochastic Environmental Research and Risk Assessment, 2025, 39(7): 3123-3146. DOI:10.1007/s00477-025-03012-1.

著录项

学科: 工学环境科学与工程全球变化
类型: 研究论文
期刊: Stochastic Environmental Research and Risk Assessment
基金资助: National Natural Science Foundation of China National Key Research and Development Program of China项目号 2023YFC3008503、52239008
卷期页: 第 39 卷第 7 期，3123-3146
出版: 2025-06-02
语言: 英语
DOI: 10.1007/s00477-025-03012-1

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