An intelligent SWMM calibration method and identification of urban runoff generation patterns
The accuracy of urban runoff simulation using the Storm Water Management Model (SWMM) largely depends on parameter calibration. This study proposes a universal and effective method to enhance model accuracy by optimizing parameter value ranges through an unsupervised intelligent clustering algorithm...
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| Main Authors: | Zixin Yang, Jiahong Liu, Youcan Feng, Jia Wang, Hao Wang, Changhai Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1582306/full |
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