Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods
<p>Sustainable urban drainage systems (SuDS) are decentralized stormwater management practices that mimic natural drainage processes. The hydrological processes of SuDS are often modeled using process-based models. However, it can require considerable effort to set up these models. This study...
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Auteurs principaux: | , |
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Format: | article |
Langue: | EN |
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Copernicus Publications
2021
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Accès en ligne: | https://doaj.org/article/d74218fc57844b30b8cd618e99c0c64b |
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