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Information Journal Paper

Title

Using Panel Data Technique to Estimation Reference Evapotranspiration

Pages

  1342-1351

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.

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    APA: Copy

    SHIRAZI, P., DAVARY, K., GHAHRAMAN, B., & Jabbari Nooghabi, M.. (2020). Using Panel Data Technique to Estimation Reference Evapotranspiration. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 13(5 ), 1342-1351. SID. https://sid.ir/paper/131465/en

    Vancouver: Copy

    SHIRAZI P., DAVARY K., GHAHRAMAN B., Jabbari Nooghabi M.. Using Panel Data Technique to Estimation Reference Evapotranspiration. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2020;13(5 ):1342-1351. Available from: https://sid.ir/paper/131465/en

    IEEE: Copy

    P. SHIRAZI, K. DAVARY, B. GHAHRAMAN, and M. Jabbari Nooghabi, “Using Panel Data Technique to Estimation Reference Evapotranspiration,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 13, no. 5 , pp. 1342–1351, 2020, [Online]. Available: https://sid.ir/paper/131465/en

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