Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB
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DOI: 10.1007/s11069-020-04453-3
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- Bahram Choubin & Farzaneh Sajedi Hosseini & Omid Rahmati & Mansor Mehdizadeh Youshanloei, 2023. "A step toward considering the return period in flood spatial modeling," 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. 115(1), pages 431-460, January.
- Hamid Reza Pourghasemi & Soheila Pouyan & Mojgan Bordbar & Foroogh Golkar & John J. Clague, 2023. "Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination," 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. 116(3), pages 3797-3816, April.
- Zhongping Zeng & Yujia Li & Jinyu Lan & Abdur Rahim Hamidi, 2021. "Utilizing User-Generated Content and GIS for Flood Susceptibility Modeling in Mountainous Areas: A Case Study of Jian City in China," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
- Maelaynayn El baida & Mohamed Hosni & Farid Boushaba & Mimoun Chourak, 2024. "A Systematic Literature Review on Classification Machine Learning for Urban Flood Hazard Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 5823-5864, December.
- Chao Ma & Wenchao Qi & Hongshi Xu & Kai Zhao, 2022. "An integrated quantitative framework to assess the impacts of disaster-inducing factors on causing urban flood," 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. 113(3), pages 1903-1924, September.
- Fatemeh Rezaie & Mahdi Panahi & Sayed M. Bateni & Changhyun Jun & Christopher M. U. Neale & Saro Lee, 2022. "Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping," 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. 114(2), pages 1247-1283, November.
- Maelaynayn El baida & Farid Boushaba & Mimoun Chourak & Mohamed Hosni & Hichame Sabar, 2024. "Classification machine learning models for urban flood hazard mapping: case study of Zaio, NE Morocco," 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. 120(11), pages 10013-10041, September.
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Keywords
Urban flood; Flood susceptibility; Machine learning; GIS; Iran;All these keywords.
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