1
PhD Student, Water Science Engineering Department, Ferdowsi University of Mashhad
2
Ferdowsi University of Mashhad
Abstract
Evapotranspiration is the most important part of the hydrological cycle, which plays a key role in water resource management, crop yield simulation, and irrigation scheduling. The purpose of this research was to estimate the reference evapotranspiration using ‘panel-data’ models. Panel-data multivariate analysis endows regression analysis with both spatial and temporal dimensions. This study was carried out using weather data of 9 synoptic stations of Khorasan Razavi during 1971-2000. Data were divided randomly into two sub-sets, 75% for model development and 25% for model evaluation. The panel-data models were developed using the monthly mean air temperature and monthly mean wind speed as inputs in order to estimate monthly reference evapotranspiration. The results indicated that the two-way fixed effects models were superior. The statistical index (RMSE = 9.85, MAE = 7.38 and R2 = 0.99) revealed the effectiveness of this model. In addition, these results were compared with the results of ordinary least squares regression and Hargreaves-Samani equation which showed the superiority of the panel-data models.
Shirazi, P., Davary, K., Ghahraman, B., & Jabbari Nooghabi, M. (2019). Using Panel Data Technique to Estimation Reference Evapotranspiration. Iranian Journal of Irrigation & Drainage, 13(5), 1342-1351.
MLA
Pooya Shirazi; Kamran Davary; Bijan Ghahraman; Mehdi Jabbari Nooghabi. "Using Panel Data Technique to Estimation Reference Evapotranspiration". Iranian Journal of Irrigation & Drainage, 13, 5, 2019, 1342-1351.
HARVARD
Shirazi, P., Davary, K., Ghahraman, B., Jabbari Nooghabi, M. (2019). 'Using Panel Data Technique to Estimation Reference Evapotranspiration', Iranian Journal of Irrigation & Drainage, 13(5), pp. 1342-1351.
VANCOUVER
Shirazi, P., Davary, K., Ghahraman, B., Jabbari Nooghabi, M. Using Panel Data Technique to Estimation Reference Evapotranspiration. Iranian Journal of Irrigation & Drainage, 2019; 13(5): 1342-1351.