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pp 1-21 | Cite as

Modelling Biogeochemical and Physicochemical Regime Changes During the Drying Period of Lake Urmia

  • E. V. YakushevEmail author
  • O. A. Nøst
  • J. Bruggeman
  • P. Ghaffari
  • E. Protsenko
Chapter
Part of the The Handbook of Environmental Chemistry book series

Abstract

The goal of this work was to develop and configure a model to simulate Lake Urmia’s biogeochemical and physicochemical regime changes. A specially designed vertical box model was constructed to describe the lake’s processes of evaporation, salt formation, and transport of matter inside the water column and the sediments. The modified biogeochemical Bottom RedOx Model (BROM) was used to simulate biogeochemical/chemical transformation of matter. The constructed model was implemented to describe the seasonal and interannual changes in the chemical composition of the lake water and sediment in the period 1992–2013 and to analyze the potential consequences of the additional water conveyance to the lake.

Keywords

Hydrochemistry Hypersaline lake Lake Urmia Modelling Sediment chemistry 

Abbreviations

BROM

Bottom RedOx model

FABM

Framework for aquatic biogeochemical models

FVCOM

Finite-volume coastal ocean model

OM

Organic matter

Notes

Acknowledgment

Iran Water & Power Resources Development Co. (IWPCO) is highly acknowledged for providing the support and fund for this work. This research was partly funded by the Norwegian Research Council project no. 272749 (“Aquatic Modeling Tools,” SkatteFUNN). Evgeniy Yakushev was supported by the Ministry of Science and Education of Russia (theme No. 0149-2019-0003). We would like to thank Dr. Vitaliy Savenko for his valuable scientific discussion during the early stages of this work. We are also thankful to Dr. H. Lahijani for providing and arranging data and information on Lake Urmia and Anfisa Berezina for helping with the result visualization.

References

  1. 1.
    Arash S, Majid S-H, Ali P, Esfahaninejad Mojgan H-AO (2019) The Vanishing of Urmia lake: a geolimnological perspective on the hydrological imbalance of the world’s second largest hypersaline lake. In: Urmia. Springer, BerlinGoogle Scholar
  2. 2.
    O’Reilly CM, Sharma S, Gray DK, Hampton SE, Read JS, Rowley RJ et al (2015) Rapid and highly variable warming of lake surface waters around the globe. Geophys Res Lett 42(24):10773–10781.  https://doi.org/10.1002/2015GL066235CrossRefGoogle Scholar
  3. 3.
    Chander A (2012) The drying of Iran’s lake Urmia and its environmental consequences. Environ Dev 2(2):128–137Google Scholar
  4. 4.
    Zavialov PO, Ni AA, Kudyshkin TV, Ishniyazov DP, Tomashevskaya IG, Mukhamedzhanova D (2009) Ongoing changes of ionic composition and dissolved gases in the Aral sea. Aquat Geochem 15(1–2):263–275.  https://doi.org/10.1007/s10498-008-9057-9CrossRefGoogle Scholar
  5. 5.
    Zonn IS, Glantz M, Kostianoy AG, Kosarev AN (2009) The Aral sea encyclopedia. Springer, BerlinGoogle Scholar
  6. 6.
    Kosarev AN, Kostianoy AG (2005) Kara-Bogaz-Gol bay. In: The Caspian sea environment. Springer, Berlin.  https://doi.org/10.1007/698_5_011CrossRefGoogle Scholar
  7. 7.
    Gavrieli I, Oren A (2004) The Dead Sea as a dying lake. In: Dying and Dead Seas climatic versus anthropic causes SE – 11, vol 36. Springer, The Netherlands, pp 287–305.  https://doi.org/10.1007/978-94-007-0967-6_11CrossRefGoogle Scholar
  8. 8.
    Sanford WE, Wood WW (1991) Brine evolution and mineral deposition in hydrologically open evaporite basins. Am J Sci 291:687–710Google Scholar
  9. 9.
    Al-Weshah RA (2000) The water balance of the Dead Sea: an integrated approach. Hydrol Process 14(1):145–154Google Scholar
  10. 10.
    Anati DA (1999) The salinity of hypersaline brines: concepts and misconceptions. Int J Salt Lake Res 8(1):55–70.  https://doi.org/10.1023/A:1009059827435CrossRefGoogle Scholar
  11. 11.
    Gavrieli I, Starinsky A, Bein A (1989) The solubility of halite as a function of temperature in the highly saline Dead Sea brine system. Limnol Oceanogr 34(7):1224–1234.  https://doi.org/10.4319/lo.1989.34.7.1224CrossRefGoogle Scholar
  12. 12.
    Krumgalz BS, Magdal E, Starinsky A (2002) The evolution of a chloride sedimentary sequence-simulated evaporation of the Dead Sea. Isr J Earth Sci 51(3–4):253–267.  https://doi.org/10.1560/EL8J-PVU9-EH88-M083CrossRefGoogle Scholar
  13. 13.
    Krumgalz BS, Millero FJ (1983) Physico-chemical study of Dead Sea waters. III. On gypsum saturation in Dead Sea waters and their mixtures with Mediterranean sea water. Mar Chem 13(2):127–139.  https://doi.org/10.1016/0304-4203(83)90021-XCrossRefGoogle Scholar
  14. 14.
    Krumgalz BS, Millero FJ (1989) Halite solubility in Dead Sea waters. Mar Chem 27(3–4):219–233.  https://doi.org/10.1016/0304-4203(89)90049-2CrossRefGoogle Scholar
  15. 15.
    Yakushev EV, Protsenko EA, Bruggeman J, Wallhead P, Pakhomova SV, Yakubov SK et al (2017) Bottom RedOx Model (BROM v.1.1): a coupled benthic–pelagic model for simulation of water and sediment biogeochemistry. Geosci Model Dev 10(1):453–482. http://www.geosci-model-dev.net/10/453/2017/Google Scholar
  16. 16.
    Chen C, Beardsley R, Cowles G (2006) An unstructured grid, finite-volume coastal ocean model (FVCOM) system. Oceanography 19(1):78–89.  https://doi.org/10.5670/oceanog.2006.92CrossRefGoogle Scholar
  17. 17.
    Bjerkeng B (1994) Eutrofimodell for Indre Oslofjord. En modell for omsetning av organiske stoff og næringssalter i innelukkede fjorder med vertikal sjiktning. Norwegian Institute for Water Research, Oslo. https://brage.bibsys.no/xmlui/handle/11250/207887Google Scholar
  18. 18.
    Bruggeman J, Bolding K (2014) A general framework for aquatic biogeochemical models. Environ Model Software 61:249–265.  https://doi.org/10.1016/j.envsoft.2014.04.002CrossRefGoogle Scholar
  19. 19.
    Pakhomova S, Yakushev E, Protsenko E, Rigaud S (2018) Modeling the influence of Eutrophication and Redox conditions on mercury cycling at the sediment-water interface in the Berre Lagoon. Front Mar Sci 5:1–15.  https://doi.org/10.3389/fmars.2018.00291CrossRefGoogle Scholar
  20. 20.
    Stumm W, Morgan JJ (1996) Aquatic chemistry. Chemical equilibria and rates in natural waters. Wiley, New YorkGoogle Scholar
  21. 21.
    Sawamura S, Egoshi N, Setoguchi Y, Matsuo H (2007) Solubility of sodium chloride in water under high pressure. Fluid Phase Equilib 254(1–2):158–162.  https://doi.org/10.1016/j.fluid.2007.03.003CrossRefGoogle Scholar
  22. 22.
    Raymond PA, Zappa CJ, Butman D, Bott TL, Potter J, Mulholland P et al (2012) Scaling the gas transfer velocity and hydraulic geometry in streams and small rivers. Fluids Environ 2(1):41–53.  https://doi.org/10.1215/21573689-1597669CrossRefGoogle Scholar
  23. 23.
    Schneider B, Nausch G, Kubsch H, Petersohn I (2002) Accumulation of total CO2 during stagnation in the Baltic sea deep water and its relationship to nutrient and oxygen concentrations. Mar Chem 77(4):277–291.  https://doi.org/10.1016/S0304-4203(02)00008-7CrossRefGoogle Scholar
  24. 24.
    Butenschön M, Clark J, Aldridge JN, Allen JI, Artioli Y, Blackford J et al (2015) ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels. Geosci Model Dev Discuss 8(8):7063–7187.  https://doi.org/10.5194/gmdd-8-7063-2015CrossRefGoogle Scholar
  25. 25.
    Nightingale PD, Malin G, Law CS, Watson AJ, Liss PS, Liddicoat MI, Boutin J, Upstill-Goddard RC (2000) In situ evaluation of air-sea gas exchange parameterizations using novel conservative and volatile tracers. Global Biogeochem Cycles 14(1):373–387.  https://doi.org/10.1029/1999GB900091CrossRefGoogle Scholar
  26. 26.
    Esmaeili Dahesht L, Negarestan H, Eimanifar A, Mohebbi F, Ahmadi R (2010) The fluctuations of physicochemical factors and phytoplankton populations of Urmia lake, Iran. Iran J Fish Sci 9(3):361–381. http://www.jifro.ir/browse.php?a_code=A-10-1-31&slc_lang=en&sid=1Google Scholar
  27. 27.
    Agh N, Van Stappen G, Bossier P, Sepehri H, Lotfi V, Razavi Rouham SM, Sorgeloos P (2008) Effects of salinity on survival, growth, reproductive and life span characteristics of artemia populations from Urmia lake and neighboring lagoons. Pak J Biol Sci 11:164–172.  https://doi.org/10.3923/pjbs.2008.164.172CrossRefGoogle Scholar
  28. 28.
    Zeinoddini M, Bakhtiari A, Ehteshami M (2015) Long-term impacts from damming and water level manipulation on flow and salinity regimes in Lake Urmia, Iran. Water Environ J 29(1):71–87.  https://doi.org/10.1111/wej.12087CrossRefGoogle Scholar
  29. 29.
    Asem A, Mahmoudi A (2013) One and a half centuries of physicochemical data of Urmia Lake, Iran: 1852–2008. Int J Sci Knowl 2(1):57–72Google Scholar
  30. 30.
    Eugster HP, Jones BF (1979) Behavior of major solutes during closed basin-lakes brine evolution. Am J Sci 279:609–631.  https://doi.org/10.2475/ajs.279.6.609CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • E. V. Yakushev
    • 1
    • 2
    Email author
  • O. A. Nøst
    • 3
  • J. Bruggeman
    • 4
  • P. Ghaffari
    • 3
  • E. Protsenko
    • 1
    • 2
  1. 1.Norwegian Institute for Water ResearchOsloNorway
  2. 2.Shirshov Institute of Oceanology, Russian Academy of SciencesMoscowRussia
  3. 3.Akvaplan-NIVATromsøNorway
  4. 4.Plymouth Marine LaboratoryPlymouthUK

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