Reconstruction of Hydrometeorological Data in Lake Urmia Basin by Frequency Domain Analysis Using Additive Decomposition

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dc.authorid0000-0002-4767-6660en_US
dc.contributor.authorVaheddoost, Babak
dc.contributor.authorAksoy, Hafzullah
dc.date.accessioned2021-03-20T20:12:30Z
dc.date.available2021-03-20T20:12:30Z
dc.date.issued2019
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractFrequency domain analysis using an additive decomposition method is proposed to reconstruct the missing hydrometeorological data of selected sites in Lake Urmia basin in Iran. Precipitation, evaporation, streamflow and groundwater time series are used for this aim. Trends, within- and multi-year cycles, and randomness are taken into account to reconstruct each of the time series for which models are developed, calibrated and validated separately. Statistical similarity between the observed and reconstructed time series is checked. Statistical characteristics including the average, standard deviation, skewness, and the first-order autocorrelation coefficient are well preserved at the reconstructed time series. A conceptual water budget model is also established to check for the consistency between the reconstructed and the observed datasets. The water budget model is taken as a quantitative way to confirm that the frequency domain analysis using the additive decomposition is an effective method for the reconstruction of the missing hydrometeorological data based on the case study performed for the Lake Urmia basin in Iran.en_US
dc.description.sponsorshipResearch Fund of Istanbul Technical University [39016]en_US
dc.description.sponsorshipThis study is based on the PhD thesis of the leading author. It was supported by Research Fund of Istanbul Technical University, Project Number: 39016 - Modelling Studies with Statistical Approaches for Lake Urmia.en_US
dc.identifier.doi10.1007/s11269-019-02335-3en_US
dc.identifier.endpage3911en_US
dc.identifier.issn0920-4741
dc.identifier.issn1573-1650
dc.identifier.issue11en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3899en_US
dc.identifier.urihttp://doi.org/10.1007/s11269-019-02335-3
dc.identifier.urihttps://hdl.handle.net/20.500.12885/589
dc.identifier.volume33en_US
dc.identifier.wosWOS:000485317700013en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorVaheddoost, Babak
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofWater Resources Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdditive decompositionen_US
dc.subjectData reconstructionen_US
dc.subjectFrequency domain analysisen_US
dc.subjectLake Urmiaen_US
dc.subjectWater budgeten_US
dc.titleReconstruction of Hydrometeorological Data in Lake Urmia Basin by Frequency Domain Analysis Using Additive Decompositionen_US
dc.typeArticleen_US

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