Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model
Abstract Global climate change and sea level rise have led to increased losses from flooding. Accurate prediction of floods is essential to mitigating flood losses in coastal cities. Physically based models cannot satisfy the demand for real-time prediction for urban flooding due to their computatio...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-02-01
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Series: | International Journal of Disaster Risk Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13753-023-00465-2 |