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

Vaheddoost B., Fathian F., GÜL E., Safari M. J. S.

WATER RESOURCES RESEARCH, cilt.58, sa.7, 2022 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 58 Sayı: 7
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1029/2022wr032030
  • Dergi Adı: WATER RESOURCES RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Computer & Applied Sciences, EconLit, Environment Index, Geobase, INSPEC, Pollution Abstracts, Veterinary Science Database
  • Anahtar Kelimeler: conceptual water budget, depth difference, dynamic regression, stochastic model, symbolic regression, Lake Urmia, ANTHROPOGENIC IMPACTS, CLIMATE-CHANGE, LEVEL, BASIN, RESTORATION, RUNOFF, TRENDS, LAND, IRAN
  • İnönü Üniversitesi Adresli: Evet

Özet

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 R-2: 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.