Studying the Changes in the Hydro-Meteorological Components of Water Budget in Lake Urmia

dc.contributor.author Babak Vaheddoost
dc.contributor.author Farshad Fathian
dc.contributor.author Enes Gul
dc.contributor.author Mir Jafar Sadegh Safari
dc.contributor.author Vaheddoost, Babak
dc.contributor.author Fathian, Farshad
dc.contributor.author Safari, Mir Jafar Sadegh
dc.contributor.author Gul, Enes
dc.date.accessioned 2025-10-06T17:49:56Z
dc.date.issued 2022
dc.description.abstract Abrupt changes in the Lake Urmia water level have been addressed in many studies and yet the link between the water level decline and hydro-meteorological variables in the basin is a major topic for debate between researchers. In this study a set of data-driven techniques is used to investigate the components of the water budget in Lake Urmia. Then the rate of monthly depth differences (DD) precipitation (P) evaporation (E) potential groundwater head (G) and streamflow (Q) time series between 1974 and 2014 are used in the analysis. Several scenarios and strategies are developed by considering the major changes in the year-2000 which is believed to be the initiation of the hydrological encroachment in the basin. Simple water budget (WB) dynamic regression (DR) and symbolic regression (SR) techniques are used to simulate the DD with consideration to P E G and Q. Alternatively the effect of the year 1997 as the potential base-line for the initiation of significant meteorological trends in the basin is investigated. Conducted analysis showed that the DR models of an autoregressive moving average together with multiple exogenous inputs provide an approximate R2: 0.7 as the best alternative among the selected models. It is shown that the Q and G depict abrupt changes compared to the P and E while either the year 1997 (climate effect) or the year 2000 (encroachment effect) is considered as the baseline in the study. © 2022 Elsevier B.V. All rights reserved.
dc.description.sponsorship The authors appreciate the Iranian Water Resources Management Company for providing the data used in this study. Authors also express their gratitude to respected Reviewers and Editor for helping us in the development of the idea and increasing the quality and credibility of the analysis.
dc.description.sponsorship Iran Water Resources Management Company, IWRMC
dc.identifier.doi 10.1029/2022WR032030
dc.identifier.issn 19447973, 00431397
dc.identifier.issn 0043-1397
dc.identifier.issn 1944-7973
dc.identifier.scopus 2-s2.0-85134881434
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134881434&doi=10.1029%2F2022WR032030&partnerID=40&md5=9f9481ec1a433b4b96be63a5bcbb0070
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8687
dc.identifier.uri https://doi.org/10.1029/2022WR032030
dc.language.iso English
dc.publisher John Wiley and Sons Inc
dc.relation.ispartof Water Resources Research
dc.rights info:eu-repo/semantics/closedAccess
dc.source Water Resources Research
dc.subject Conceptual Water Budget, Depth Difference, Dynamic Regression, Lake Urmia, Stochastic Model, Symbolic Regression, Budget Control, Groundwater, Lakes, Regression Analysis, Stochastic Systems, Time Series Analysis, Water Levels, Conceptual Water Budget, Data Driven Technique, Depth Difference, Dynamic Regressions, Groundwater Heads, Lake Urmia, Meteorological Variables, Stochastic-modeling, Symbolic Regression, Water Budget, Stochastic Models, Groundwater, Hydrometeorology, Regression Analysis, Stochasticity, Streamflow, Time Series Analysis, Water Budget, Water Level, Iran, Lake Urmia
dc.subject Budget control, Groundwater, Lakes, Regression analysis, Stochastic systems, Time series analysis, Water levels, Conceptual water budget, Data driven technique, Depth difference, Dynamic regressions, Groundwater heads, Lake urmia, Meteorological variables, Stochastic-modeling, Symbolic regression, Water budget, Stochastic models, groundwater, hydrometeorology, regression analysis, stochasticity, streamflow, time series analysis, water budget, water level, Iran, Lake Urmia
dc.subject Conceptual Water Budget
dc.subject Lake Urmia
dc.subject Depth Difference
dc.subject Symbolic Regression
dc.subject Stochastic Model
dc.subject Dynamic Regression
dc.title Studying the Changes in the Hydro-Meteorological Components of Water Budget in Lake Urmia
dc.type Article
dspace.entity.type Publication
gdc.author.id GÜL, ENES/0000-0001-9364-9738
gdc.author.id Safari, Mir Jafar Sadegh/0000-0003-0559-5261
gdc.author.id Vaheddoost, Babak/0000-0002-4767-6660
gdc.author.id Fathian, Farshad/0000-0001-8205-3787
gdc.author.scopusid 57113743700
gdc.author.scopusid 56047228600
gdc.author.scopusid 56047176000
gdc.author.scopusid 57221462233
gdc.author.wosid Fathian, Farshad/AAD-6588-2019
gdc.author.wosid Safari, Mir Jafar Sadegh/A-4094-2019
gdc.author.wosid GÜL, ENES/AAH-6191-2021
gdc.author.wosid Vaheddoost, Babak/M-6824-2018
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gdc.collaboration.industrial false
gdc.description.department
gdc.description.departmenttemp [Vaheddoost, Babak] Bursa Tech Univ, Dept Civil Engn, Bursa, Turkey; [Fathian, Farshad] Vali E Asr Univ Rafsanjan, Dept Water Sci & Engn, Rafsanjan, Iran; [Gul, Enes] Inonu Univ, Dept Civil Engn, Malatya, Turkey; [Safari, Mir Jafar Sadegh] Yasar Univ, Dept Civil Engn, Izmir, Turkey
gdc.description.issue 7
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.volume 58
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W4283022619
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gdc.oaire.keywords conceptual water budget
gdc.oaire.keywords dynamic regression
gdc.oaire.keywords Lake Urmia
gdc.oaire.keywords depth difference
gdc.oaire.keywords symbolic regression
gdc.oaire.keywords stochastic model
gdc.oaire.popularity 5.3206293E-9
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gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
gdc.openalex.collaboration International
gdc.openalex.fwci 1.8762
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gdc.opencitations.count 9
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 15
gdc.plumx.scopuscites 11
gdc.scopus.citedcount 11
gdc.virtual.author Safari, Mir Jafar Sadegh
gdc.wos.citedcount 12
person.identifier.scopus-author-id Vaheddoost- Babak (57113743700), Fathian- Farshad (56047176000), Gul- Enes (57221462233), Safari- Mir Jafar Sadegh (56047228600)
project.funder.name The authors appreciate the Iranian Water Resources Management Company for providing the data used in this study. Authors also express their gratitude to respected Reviewers and Editor for helping us in the development of the idea and increasing the quality and credibility of the analysis.
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