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 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.type | text::journal::journal article | |
| 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 | |
| gdc.identifier.wos | WOS:000828784000001 | |
| gdc.index.type | Scopus | |
| gdc.index.type | WoS | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 5.0 | |
| gdc.oaire.influence | 2.5486007E-9 | |
| gdc.oaire.isgreen | false | |
| 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 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.oaire.sciencefields | 0105 earth and related environmental sciences | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 1.8762 | |
| gdc.openalex.normalizedpercentile | 0.84 | |
| 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. | |
| publicationissue.issueNumber | 7 | |
| publicationvolume.volumeNumber | 58 | |
| relation.isAuthorOfPublication | 08e59673-4869-4344-94da-1823665e239d | |
| relation.isAuthorOfPublication.latestForDiscovery | 08e59673-4869-4344-94da-1823665e239d | |
| relation.isOrgUnitOfPublication | ac5ddece-c76d-476d-ab30-e4d3029dee37 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | ac5ddece-c76d-476d-ab30-e4d3029dee37 |
