Evaluation of renewable water resources of Urmia Lake Basin using GLEAM

Document Type : Original Article

Authors

1 Ph.D. Student in Water Resources Engineering, Water Engineering Department, Agriculture Faculty, Urmia University, Iran.

2 Professor, Water Engineering Department, Agriculture Faculty, Urmia University, Iran.

Abstract

Lake Urmia, located at northwestern of Iran, is the biggest internal lake of Iran and one of the most hyper saline lakes of the world. The area of its basin is 51876 km2 and consists of several rivers, which Zarrine Roud, Simine Roud and Aji Chay are the most important ones among them. In recent years, as a consequence of excessive water discharge from water resources, ambitious water projects and precipitation reduction, lake water level has been reduced.
In this research, in order to evaluate basin’s water balance, different tools like GLEAM, lake water balance and Iran water resources management company’s research have been used. Based on achieved results from GLEAM, basin’s Natural Renewable Water (NRW) for year 1394-1395 have been 5780.59 MCM; this is while more than 83% of it has been used in agriculture. The estimated Available Water based on Iran Water Resources Management Company’s research have been 3% less and also calculated Available Water based on historical data 45% more than GLEAM’s result
Another important note is that 1541.02 MCM of Unavailable Water (Potential Water) have been used by basin, in which, 421.4 MCM of it provided by reduction in lake’s water level and remaining 1119.62 MCM, have been provided by groundwater supplies, caused reduction in ground water level in the basin; this is while official statistics, released by Iran Water Resources Management Company (IWRMC), have reported this amount 2210.99 MCM for year 1389-1390.

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References

Delju A, Ceylan A, Piguet E, Rebetez M (2013) Observed climate variability and change in Urmia Lake Basin, Iran. Theoretical and Applied Climatology 111:285-296
Factbook, The World (2015) Total renewable water resources. The World Factbook Archived from The Original on 2015-06-12. Retrieved 2015-06-20
Fathian F, Morid S, Kahya E (2015)  Identification of trends in hydrological and climatic variables in Urmia Lake basin, Iran. Theoretical and Applied Climatology 119(3-4):443-464
Gash J H C (1979) An analytical model of rainfall interception by forests. Quarterly Journal of the Royal Meteorological Society 105(443):43-55
Iran Ministry of Energy (2015) Macro planning bureau. The National Water Master Plan Study in the Urmia Lake Basin Area. fifth volume: Water Resources Evaluation, Year (2010) (In Persian)
Javadian M, Kordi F, Tajrishi M (2018) Comparing different methods of actual evapotranspiration estimation in Urmia Lake Basin. 11th International Congress of Civil Engineering, University of Tehran, Tehran, Iran (In Persian)
Jean Margat R (1996) FAO/BRGM. Les ressources en eau: Manuels & méthodes nº 28. 148 pp
Martens B, Gonzalez Miralles D, Lievens H, Van Der Schalie R, De Jeu R A, Fernández-Prieto D,Verhoest N (2017) GLEAM v3:Satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development 10(5):1903-1925
Miralles D G, Holmes T R H, De Jeu R A M, Gash J H C, Meesters A G C A, Dolman A J (2011) Global land-surface evaporation estimated from satellite-based observations. Hydrology and Earth System Science 15:453:469
Moghaddasi M, Morid S, Delavar M, Hosseini Safa H (2019) Challenges and compromises of agricultural water supply and environmental water right in the lake Urmia Basin. Journal of Iran-Water Resources Research 15(2):30-40 (In Persian)
Ulrp, Urmia Lake Restoration Program (2015) Urmia lake restoration plan; challenges and solutions. Package I (In Persian)
Yang X, Yong B, Ren L, Zhang Y, Long D (2017) Multi-scale validation of GLEAM evapotranspiration products over China via ChinaFLUX ET measurements. International journal of Remote Sensing 38(20):5688-5709

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History

  • Receive Date: 11 March 2019
  • Revise Date: 15 June 2019
  • Accept Date: 18 June 2019

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