A novel hybrid SCS-LSTM model for intelligent flood forecasting in data-scarce small mountainous catchments
Study Region: Ungauged small catchments in Dawukou District, Northwest China. Study Focus: To address the critical data scarcity in PUBs, we propose a hybrid SCS-LSTM framework that integrates the Soil Conservation Service (SCS) hydrological model with Long Short-Term Memory (LSTM) neural networks....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825004367 |
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