Evaluating the impact of subsurface hydraulic barriers on Qanat flow rates using quantile regression forest

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dc.authorid0000-0002-1693-5877
dc.authorid0000-0003-0559-5261
dc.authorid0000-0002-4767-6660
dc.contributor.authorCan, Murat
dc.contributor.authorVaheddoost, Babak
dc.contributor.authorSafari, Mir Jafar Sadegh
dc.date.accessioned2026-02-08T15:15:30Z
dc.date.available2026-02-08T15:15:30Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractQanats, as hydraulic innovations, enabled the sustainable extraction and distribution of groundwater for irrigation and domestic use during history. This study presents a data-driven modeling framework that implements Quantile Regression Forest (QRF), Random Forest (RF), and Support Vector Regression (SVR) to predict Qanat discharge under altered subsurface conditions. Using field data from the Dirsak Qanat in northern Iran, a traditional drainage system recently enhanced by the construction of a subsurface dam (SD), we investigate the dam's effect on discharge potential. The modeling framework incorporates determination of multiple hydro-meteorological inputs including precipitation, temperature, evaporation, humidity, runoff depth, infiltration depth and groundwater levels observed at three monitoring wells. A binary (dummy) variable was also introduced to represent the presence or absence of the SD, thereby capturing the associated changes in boundary conditions. The analysis further revealed that the SD and evaporation are the most influential factors, highlighting the combined effects of anthropogenic modifications and climatic variations on the discharge behavior of the Qanats. It was also concluded that the QRF model with a Nash-Sutcliffe Efficiency (NSE) of 0.818, demonstrate strong predictive capability in capturing complex and non-linear hydrological interactions.
dc.identifier.doi10.1038/s41598-025-28693-0
dc.identifier.issn2045-2322
dc.identifier.issue1
dc.identifier.pmid41274970
dc.identifier.scopus2-s2.0-105026209571
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1038/s41598-025-28693-0
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5807
dc.identifier.volume15
dc.identifier.wosWOS:001651166300002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherNature Portfolio
dc.relation.ispartofScientific Reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWOS_KA_20260207
dc.subjectRandom forest
dc.subjectRural area
dc.subjectSubsurface dam
dc.subjectTraditional hydraulic structures
dc.subjectUnderground dam
dc.titleEvaluating the impact of subsurface hydraulic barriers on Qanat flow rates using quantile regression forest
dc.typeArticle

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