تحلیل مقایسه ی دقت پنج مدل مختلف رابطه والیانتزاس در برآورد تبخیر- تعرق مرجع

1-    Ahooghalandari, M., Khiadani, M. and Jahromi, M.E., 2017. Calibration of Valiantzas’ reference evapotranspiration equations for the Pilbara region, Western Australia. Theoretical and applied climatology, 128(3-4), pp.845-856.

2-    Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300(9), p.D05109.

3-    Anderson, R.G., Lo, M.H. and Famiglietti, J.S., 2012. Assessing surface water consumption using remotely‐sensed groundwater, evapotranspiration, and precipitation. Geophysical Research Letters, 39(16).

4-    ASCE-EWRI., 2005. The ASCE standardized reference evapotranspiration equation. In: Allen, R. G., Walter, I. A., Elliot, R. L., et al.(Eds.), Environmental and Water Resources Institute (EWRI) of the American Society of Civil. Engineers, ASCE, Standardiza-tion of Reference Evapotranspiration Task Committee Final Report. American Society of Civil Engineers (ASCE), Reston, VA,pp.213.

5-    Azhar, A.H. and Perera, B.J.C., 2010. Evaluation of reference evapotranspiration estimation methods under Southeast Australian conditions. Journal of Irrigation and Drainage Engineering, 137(5), pp.268-279.

6-    Bastiaanssen, W.G.M., Noordman, E.J.M., Pelgrum, H., Davids, G., Thoreson, B.P. and Allen, R.G., 2005. SEBAL model with remotely sensed data to improve water-resources management under actual field conditions. Journal of Irrigation and Drainage Engineering, 131(1), pp.85-93.

7-    Davis, S.L. and Dukes, M.D., 2010. Irrigation scheduling performance by evapotranspiration-based controllers. Agricultural water management, 98(1), pp.19-28.

8-     DehghaniSanij, H., Yamamoto, T. and Rasiah, V., 2004. Assessment of evapotranspiration estimation models for use in semi-arid environments. Agricultural water management, 64(2), pp.91-106.

9-    Djaman, K., Balde, A.B., Sow, A., Muller, B., Irmak, S., N’Diaye, M.K., Manneh, B., Moukoumbi, Y.D., Futakuchi, K. and Saito, K., 2015. Evaluation of sixteen reference evapotranspiration methods under sahelian conditions in the Senegal River Valley. Journal of Hydrology: regional studies, 3, pp.139-159.

10- Djaman, K., Irmak, S., Kabenge, I. and Futakuchi, K., 2016. Evaluation of FAO-56 penman-monteith model with limited data and the valiantzas models for estimating grass-reference evapotranspiration in Sahelian conditions. Journal of Irrigation and Drainage Engineering, 142(11), p.04016044.

11-  Ferguson, I.M. and Maxwell, R.M., 2011. Hydrologic and land–energy feedbacks of agricultural water management practices. Environmental Research Letters, 6(1), p.014006.

12-  Fisher, J.B., DeBiase, T.A., Qi, Y., Xu, M. and Goldstein, A.H., 2005. Evapotranspiration models compared on a Sierra Nevada forest ecosystem. Environmental Modelling & Software, 20(6), pp.783-796.

13- Fisher, D.K. and Pringle III, H.C., 2013. Evaluation of alternative methods for estimating reference evapotranspiration. Agricultural Sciences, 4(08), p.51. -60.

14- Holwerda, F., Bruijnzeel, L.A., Barradas, V.L. and Cervantes, J., 2013. The water and energy exchange of a shaded coffee plantation in the lower montane cloud forest zone of central Veracruz, Mexico. Agricultural and forest meteorology, 173, pp.1-13

15-  Irmak, S., Irmak, A., Allen, R.G. and Jones, J.W., 2003. Solar and net radiation-based equations to estimate reference evapotranspiration in humid climates. Journal of irrigation and drainage engineering, 129(5), pp.336-347.

16- Jabloun, M.D. and Sahli, A., 2008. Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia. Agricultural water management, 95(6), pp.707-715.

17-  Jakimavičius, D., Kriaučiūnienė, J., Gailiušis, B. and Šarauskienė, D., 2013. Assessment of uncertainty in estimating the evaporation from the Curonian Lagoon. Baltica, 26(2), pp.177-186.

18-  Jun, W., Xinhua, W., Meihua, G. and Xuyan, X.U., 2012. Impact of climate change on reference crop evapotranspiration in Chuxiong City, Yunnan Province. Procedia Earth and Planetary Science, 5, pp.113-119.

19-  Kisi, O., 2013. Comparison of different empirical methods for estimating daily reference evapotranspiration in Mediterranean climate. Journal of Irrigation and Drainage Engineering, 140(1), p.04013002.

20- Kueppers, L.M., Snyder, M.A. and Sloan, L.C., 2007. Irrigation cooling effect: Regional climate forcing by land‐use change. Geophysical Research Letters, 34(3).

21-  Landeras, G., Ortiz-Barredo, A. and López, J.J., 2008. Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain). Agricultural water management, 95(5), pp.553-565.

22-  Lo, M.H. and Famiglietti, J.S., 2013. Irrigation in California's Central Valley strengthens the southwestern US water cycle. Geophysical Research Letters, 40(2), pp.301-306.

23-  Martinez, C.J. and Thepadia, M., 2009. Estimating reference evapotranspiration with minimum data in Florida. Journal of irrigation and drainage engineering, 136(7), pp.494-501.

24-  Meissner, R., Rupp, H., Seeger, J., Ollesch, G. and Gee, G.W., 2010. A comparison of water flux measurements: passive wick‐samplers versus drainage lysimeters. European journal of soil science, 61(4), pp.609-621.

25- Puma, M.J. and Cook, B.I., 2010. Effects of irrigation on global climate during the 20th century. Journal of Geophysical Research: Atmospheres, 115(D16).

26-  Sabziparvar, A.A., Tabari, H., Aeini, A. and Ghafouri, M., 2010. Evaluation of class A pan coefficient models for estimation of reference crop evapotranspiration in cold semi-arid and warm arid climates. Water resources management, 24(5), pp.909-920.

27- Steinman, B.A., Rosenmeier, M.F., Abbott, M.B. and Bain, D.J., 2010. The isotopic and hydrologic response of small, closed‐basin lakes to climate forcing from predictive models: Application to paleoclimate studies in the upper Columbia River basin. Limnology and Oceanography, 55(6), pp.2231-2245.

28-  Tabari, H., 2010. Evaluation of reference crop evapotranspiration equations in various climates. Water resources management, 24(10), pp.2311-2337.

29-  Tabari, H., Grismer, M.E. and Trajkovic, S., 2013. Comparative analysis of 31 reference evapotranspiration methods under humid conditions. Irrigation Science, 31(2), pp.107-117.

30-  Tang, Q., Peterson, S., Cuenca, R.H., Hagimoto, Y. and Lettenmaier, D.P., 2009. Satellite‐based near‐real‐time estimation of irrigated crop water consumption. Journal of Geophysical Research: Atmospheres, 114(D5).

31- Trajkovic, S. and Kolakovic, S., 2009. Evaluation of reference evapotranspiration equations under humid conditions. Water Resources Management, 23(14), p.3057 –3067.

32- Valiantzas, J.D., 2013a. Simple ET_o forms of Penman's equation without wind and/or humidity data. I: theoretical development. Irrigation and Drainage Engineering, 139(1),pp.1–8.

33- Valiantzas, J.D., 2013b. Simple ET_o forms of Penman's equation without wind and/or humidity data. II: comparisons with reduced set-FAO and other methodologies. Irrigation and Drainage Engineering, 139(1),pp.9–19.

34- Valiantzas, J.D., 2013c. Simplified reference evapotranspiration formula using an empirical impact factor for Penman's aerodynamic term. Hydrologic Engineering, 18(1),pp.108–114.

35-  Valipour, M., 2015. Investigation of Valiantzas’ evapotranspiration equation in Iran. Theoretical and applied climatology, 121(1-2), pp.267-278.

36- Zhao, L., Xia, J., Xu, C.Y., Wang, Z., Sobkowiak, L. and C. Long., 2013. Evapotranspiration estimation methods in hydrological models. Geographical Sciences, 23(2),pp.359–369.

37- Zhao, J., Xu, Z.X., Zuo, D. P. and X.M. Wang., 2015. Temporal variations of reference evapotranspiration and its sensitivity to meteorological factors in Heihe river basin, China. Water Science and Engineering, 8(1),pp.1-8.