Urban flood risk mapping using data-driven geospatial techniques for a flood-prone case area in Iran

Urban flood risk mapping using data-driven geospatial techniques for a flood-prone case area in Iran

10.2166/nh.2019.090

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Bibliographic Details
Main Authors: Darabi, H., Haghighi, A.T., Mohamadi, M.A., Rashidpour, M., Ziegler, A.D., Hekmatzadeh, A.A., Kløve, B.
Other Authors: GEOGRAPHY
Format: Article
Published: IWA Publishing 2021
Subjects:
Amol city
Ensemble model
Machine learning algorithms
ROC-AUC
Online Access:https://scholarbank.nus.edu.sg/handle/10635/199041
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/199041

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