Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)5839-5858
Number of pages20
JournalHydrology and Earth System Sciences
Volume25
Issue number11
DOIs
StatePublished - Nov 11 2021
Externally publishedYes

ASJC Scopus Subject Areas

  • Water Science and Technology
  • Earth and Planetary Sciences (miscellaneous)

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