A Comparison of Machine Learning Models for Predicting Flood Susceptibility Based on the Enhanced NHAND Method
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- Zhouyayan Li & Jerry Mount & Ibrahim Demir, 2022. "Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 977-1004, May.
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- Beibei Liu & Chaowei Xu & Jiashuai Yang & Sen Lin & Xi Wang, 2022. "Effect of Land Use and Drainage System Changes on Urban Flood Spatial Distribution in Handan City: A Case Study," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
- Hongchao Zhang & Tengteng Zhu, 2022. "Stacking Model for Photovoltaic-Power-Generation Prediction," Sustainability, MDPI, vol. 14(9), pages 1-16, May.
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Keywords
Zhengzhou City; machine learning; SRTM; HAND; normalization of topography; SHAP; flood sensitivity;All these keywords.
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