Comparsion of the FAO Penman-Monteith method and class A evaporation pan with lysimeter data in estimating evapotranspiration (Cicer arietinum L.) in Khorramabad

پژوهش‌های حبوبات ایران

Article 5, Volume 6, Issue 1, June 2015, Pages 92-99   

Document Type: Original Articles

DOI: 10.22067/ijpr.v1394i1.31317

Authors

Kobra Namdarian^{* 1}; Abdali naseri¹; zahra izadpanah¹; abbas maleki²

¹Chamran University

²Lorestan University

Abstract

Lorestan and Khorramabad province has major share in chickpea production region are the one of the largest producer of chickpea (Cicer arietinum L.) in Iran, Chickpea with more cultivation area compare to the other plants, to estimate the chickpea water requirement. The aim of this research was to determine the crop coefficients of chickpea in a research field in Lorestan agriculture faculty in 2013 to find (Cicer arietinum L.) water requirement and different crop coefficients. For that, 4 drainable lysimeter was selected in which diameter and height were 0.45 and 0.8 m, respectively. The crop density was 50 plant per m^2. The water requirement of chickpea was estimated equal to 438mm. The potential evapotranspiration also was estimated equal to 554.2mm. More ever, the best pan coefficient also was determined by comparing with lysimetric results. Different parameters such as RESE, MBE, MAE and R^2 were used to determine chickpea evapotraspiration. Finally, the results showed that the FAO model with error RMSE, 0.174 is an optimum model for this region and Snyder method was modified in the second accurately. The FAO Penman Monteith method for calculating reference evapotranspiration in the region of 4.8 percent less than the amount of the lysimeters.

Keywords

Chickpea; Crop coefficient; Pan coefficient; water requirement

References

1. Bayatvarkeshi, M., and Zare Abyaneh, H. 2014. Validating pan coefficient equations to estimate reference evapotranspiration in comparing with Lysimeter data of grass crop. Global Journal on Advances Pure and Applied Sciences, Vol 2. 1st Global Conference on Energy, Soil, Water, Air and Environment (ESWAE-2013).

2. Panahi, M., Aghdaei, M., and Rezaei, M.A. 2006. Determination of sugar beet standard evapotranspiration by lysimeter method in Kabotar-Abad. Esfahan. Journal of Sugar Beet. (In Persian with English Summary).

3. 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): 909-920.

4. Shahabifar, M., Asari, M., Kuchakzadeh, M., and Azizi Zohan, A.A. 2007. Determined using pan evaporation-transpiration reference level under greenhouse conditions. The first technical workshop on improving water use efficiency in greenhouse crops. (In Persian).

5. Sharifan, H., and Ghahraman, B. 2006. Evaluation and comparison of estimated reference evapotranspiration from evaporation pan with ET0 standard method in Gorgan, J.Agric. Sci. Natur. Resour. 13(5). (In Persian).

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

7. Vaziri, J., Salamat, A., Entesari, M., Meschi, M., Haidari, N., and Dehghani Sanich, H. 2008. Plant evapotranspiration (guidelines for computing water requirements of plants), the working group on sustainable use of water resources for agricultural production. Iranian National Committee on Irrigation and Drainage. Bulletin 122. 362 p.

8. Yazdani, V., Liaghat, A.M., Nuri, H., Nuri, H., and Zare Abyaneh, H. 2011. Determine the best model in Amol pan coefficient based on sensitivity analysis. Journal of Water and Irrigation Management 42(2): 9-17. (In Persian).

9. Zare Abyaneh, H., Bayat Varkeshi, M., Marofi, S., and Amiri Chayjan, R. 2010. Evaluation of artificial neural network and adaptive neuro fuzzy inference system in decreasing of reference evapotranspiration parameters. Water and Soil (Agr. Sci. and Thechnology) 24(2): 297-305. (In Persian).

10. Zare Abyaneh, H., Nuri, H., Liaghat, A.M., Nuri, H., and Karimi, V.A. 2010. Comparison of penman-monteith FAO and pan lysimeters with data in estimating evapotranspiration in rice in Amol. Geography Research 76: 71-83. (In Persian).