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

TitleModeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods
Authors
Yang, YChui, TFM
Issue Date2021
Citation
Hydrology and Earth System Sciences, 2021, v. 25, p. 5839-5858 How to Cite?
DOI: http://dx.doi.org/10.5194/hess-25-5839-2021
Persistent Identifierhttp://hdl.handle.net/10722/320184
ISI Accession Number ID
WOS:000720154300001

 

DC FieldValueLanguage
dc.contributor.authorYang, Y-
dc.contributor.authorChui, TFM-
dc.date.accessioned2022-10-21T07:48:32Z-
dc.date.available2022-10-21T07:48:32Z-
dc.date.issued2021-
dc.identifier.citationHydrology and Earth System Sciences, 2021, v. 25, p. 5839-5858-
dc.identifier.urihttp://hdl.handle.net/10722/320184-
dc.languageeng-
dc.relation.ispartofHydrology and Earth System Sciences-
dc.titleModeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods-
dc.typeArticle-
dc.identifier.emailYang, Y: yyang28@hku.hk-
dc.identifier.emailChui, TFM: maychui@hku.hk-
dc.identifier.authorityChui, TFM=rp01696-
dc.identifier.doi10.5194/hess-25-5839-2021-
dc.identifier.hkuros339784-
dc.identifier.volume25-
dc.identifier.spage5839-
dc.identifier.epage5858-
dc.identifier.isiWOS:000720154300001-

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