Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed
ABSTRACT Floods are major natural disasters that present considerable challenges to socioeconomic and ecological systems. Flash floods are highly nonlinear and exhibit rapid spatiotemporal variability. Existing methods struggle to capture these features, leading to suboptimal long‐term and peak floo...
Saved in:
| Main Authors: | Rukai Wang, Ximin Yuan, Fuchang Tian, Minghui Liu, Xiujie Wang, Xiaobin Li, Minrui Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
|
| Series: | Journal of Flood Risk Management |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jfr3.70022 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rapid Simulation of Floods by Considering the Spatial and Temporal Characteristics of Inundation
by: Rukai Wang, et al.
Published: (2025-06-01) -
An improved framework to prioritize sub-watersheds: Construction of Watershed Morphometric Composite Index (WMCI) for mountain soil conservation
by: Shravan Kumar Ghimire, et al.
Published: (2025-08-01) -
Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model
by: Songsong Wang, et al.
Published: (2025-04-01) -
Calculation Method of River Width of Mountainous Watershed Based on Watershed Morphology
by: LI Qian
Published: (2021-01-01) -
Comparative evaluation of machine learning models for extreme river water level forecasting in Bangladesh: Implications for flood and drought resilience
by: Md Touhidul Islam, et al.
Published: (2025-10-01)