Calibrating Priestley-Taylor coefficient to estimate free water surface evaporation (Case Study: Mahabad Dam Reservoir)

Document Type : Research Article

Authors

1 MSc. Student, Department of Environmental Engineering, College of Environmental , West Tehran Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor, Water Sciences and Engineering Department, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran

3 Associate Professor, Environment and Energy Department, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Evapotranspiration is one of the important components of basin water balance which cannot be measured directly at the basin scale. Therefore, it is inevitably estimated through indirect methods. In this regard, the Advection Aridity model, one of the widely used models of complementary relationship, has attracted lots of attentions. Due to the existence of Priestley-Taylor equation in the Advection Aridity model, it is required to calibrate Priestley-Taylor coefficient to increase the accuracy of the model. The current research aims at calibrating Priestley-Taylor coefficient in estimation of potential evaporation through Penman method to apply it in the Advection Aridity model in the studied area of Mahabad dam reservoir, Iran. The required data were collected for a period of 26 years (1986-2012) from Mahabad 1st order meteorological station which is located a short distance from Mahabad reservoir. The results showed that Priestley-Taylor coefficient undergoes monthly changes during a year and decreases during the warm months of the year. Therefore, it is better to use its monthly values in calculations. In the area under study, its minimum and maximum averages were 1.01 and 1.68, respectively. Moreover, the long term average of this coefficient during a period of 26 years has been calculated to be 1.25.

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Main Subjects

References

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Iranian journal of Ecohydrology
Volume 4, Issue 3
September 2017
Pages 803-815

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History

  • Receive Date: 08 February 2017
  • Revise Date: 28 April 2017
  • Accept Date: 14 April 2017

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