Fast multi-output relevance vector regression for joint groundwater and lake water depth modeling

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dc.authorid0000-0003-0559-5261
dc.authorid0000-0002-4767-6660
dc.contributor.authorSafari, Mir Jafar Sadegh
dc.contributor.authorArashloo, Shervin Rahimzadeh
dc.contributor.authorVaheddoost, Babak
dc.date.accessioned2026-02-12T21:05:31Z
dc.date.available2026-02-12T21:05:31Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractFast multi-output relevance vector regression (FMRVR) algorithm is developed for simultaneous estimation of groundwater and lake water depth for the first time in this study. The FMRVR is a multi-output regression analysis technique which can simultaneously predict multiple outputs for a multi-dimensional input. The data used in this study is collected from 34 stations located in the lake Urmia basin over a 40-year time period. The performance of the FMRVR model is examined in contrast to the support vector regression (SVR) and multi-linear regression (MLR) benchmarks. Results reveal that FMRVR is able to generate more accurate estimation for groundwater and lake water depth with coefficient of determination (R2) of 0.856 and 0.992 and root mean square error (RMSE) of 0.857 and 0.083, respectively. The outperformance of FMRVR can be linked to its capability for a joint estimation of multiple relevant outputs by taking into account possible correlations among the outputs.
dc.identifier.doi10.1016/j.envsoft.2022.105425
dc.identifier.issn1364-8152
dc.identifier.issn1873-6726
dc.identifier.scopus2-s2.0-85135500660
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.envsoft.2022.105425
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6999
dc.identifier.volume154
dc.identifier.wosWOS:000809784500005
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofEnvironmental Modelling & Software
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectFast multi-output relevance vector regression
dc.subjectGroundwater
dc.subjectLake urmia
dc.subjectLake water depth
dc.subjectMulti-output regression
dc.subjectSupport vector regression
dc.titleFast multi-output relevance vector regression for joint groundwater and lake water depth modeling
dc.typeArticle

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