خلاصة:
Reference evapotranspiration (ET0) is a climatic parameter and can be computed from weather data. It is one of the most important hydrological parameters for calculating crop water demand, scheduling irrigation systems, preparing input data to hydrological water-balance models, regional water resources assessment, and planning and management for a region and/or a basin. The climatic data from synoptic stations with more than 20 years continues record in West Azarbaijan province was used. The well-known FAO-PM56 method was used to calculate the ET0. Then Multiple linear Regression (MLR) was used to estimate the ET0. The RMSE, MEA, NSH, and R2 were used to evaluate the performance of the MLR model. Then, the correlation coefficient (r) between ET0 and each of the meteorological parameters was obtained. And finally, with using Path analysis method, the influence of direct (P) and indirect effects of the meteorological parameters on ET0 was calculated. In the studied synoptic stations, NSH between 0.91 and 0.99, R2 between 0.91 and 0.99, RMSE between 0.05 and 0.15, and MEA between 0.04 and 0.12 were obtained. Also, it was found that the wind speed at all of stations had a significant correlation (at the 0.01% level) with ET0. The path analysis results showed that the maximum value of P (direct effect of meteorological parameters on ET0) in all of the stations belongs to wind speed. The P value of wind speed in Urmia equal to 0.85, Piranshahr equal to 0.99, Takab equal to 0.97, Khoy equal to 0.90, Sardasht equal to 1.06, and Mahabad equal to 0.78 are obtained.
ملخص الجهاز:
Application of Path Analysis in Determining Dominant Meteorological Parameters on Reference Plant Evapotranspiration in West Azerbaijan Received: 2018/10/27 Final Acceptance: 2019/03/09 Pages: 163-180 Yaghoub Dinpashoh: Associate Professor, Water Resources Engineering Group, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Path analysis results showed that the highest amount of direct effect of meteorological parameters on ET0 in all stations belonged to wind speed, which resulted in values of 0.
In their study, temperature was identified as the dominant factor in estimating the ET0 value, but relative humidity did not play a very significant role in predicting ET0 in the studied region and 1 - Advection 2 - Reference Evapotranspiration (ET0) 3- Allen & Pereira 4- Goyal 5 - Ladlani 6 - Stagnari 7- Mahida & Patel 8- FAO Penman- Monteith did not enter the model.
The results showed that radiation intensity, relative humidity, maximum temperature, and sunshine hours variables have the greatest effect on the ET0 process, and the correlation coefficient values for the MLR-PCA and MLR combined methods based on the PM-56-FAO comparative basis in the testing stage were reported as 0.
Jafari and Dinpajouh (2016) studied the application of multiple linear regression and stepwise multivariate regression models in estimating pan evaporation at the Tabriz station.
A review of the research background shows that the direct and indirect effects of meteorological parameters on the ET0 levels of various stations in Iran, especially in West Azerbaijan province, have not yet been comprehensively studied.