Evaluation of reference evapotranspiration models using single crop coefficient method and lysimeter data

ROHITASHW KUMAR; MUKESH KUMAR

doi:10.56093/ijas.v87i3.68712

Authors

ROHITASHW KUMAR Sher-e-Kashmir University of Agricultural Science and Technology, Kashmir-Srinagar, J&K 190 025
MUKESH KUMAR Sher-e-Kashmir University of Agricultural Science and Technology, Kashmir-Srinagar, J&K 190 025

https://doi.org/10.56093/ijas.v87i3.68712

Keywords:

Crop coefficient, Crop evapotranspiration, Lysimeter, Reference evapotranspiration

Abstract

The field experiment of lysimeter set-up was conducted at Solan, Himachal Pradesh on Pea (Pisum sativum) to determine the water requirement, single crop coefficient of pea using a lysimeter. Six reference evapotranspiration models were used to compute reference evapotranspiration and compared with actual crop evapotranspiration for different crop growth stages. Results showed that Penman Montieth crop evapotranspiration model gives the closest agreement with the corresponding values obtained in field as a result of water balance study with R2, SEE and ARE; 0.97, 9.5 and 11.6, respectively. The results emphasized the utility of lysimeter for ecohydrological crop evapotranspitaion model at sub- temperate, sub-humid regions.

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References

Allen R G, Smith M, Pereira L S and Perrier A. 1994. An update for the calculation of reference evapotranspiration. ICID Bulletin 43(2): 35–92.

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, Food and Agriculture Organization of the United Nations, Rome.

Ambrose J R B and Roesch S E. 1982. Dynamic estuary model performance. Journal of Environment Engineering Division 108: 51–7. DOI: https://doi.org/10.1061/JEEGAV.0001273

Benli B, Bruggema A, Oweis T and Ustun H. 2010. Performance of Penman-Monteith FAO-56 in a semiarid highland environment. Jouranl of Irrigation Drainage Engineering (ASCE) 136(11): 757–65. DOI: https://doi.org/10.1061/(ASCE)IR.1943-4774.0000249

Burman R D, Nixon P R, Wright J L and Pruitt W O. 1980. Water requirements. (In) Design of Farm Irrigation Systems, pp 189–232. Jensen, M E (Ed). ASAE Mono. Am. Soc. Agric. Eng., St. Joseph, MI

Chauhan S and Shrivastava R K. 2009. Performance evaluation of reference evapotranspiration estimation using climate based methods and artificial neural networks. Water Resource Management 23: 825–37. DOI: https://doi.org/10.1007/s11269-008-9301-5

Dehghani Sanij H, Yamamoto T and Rasiah V. 2004. Assessment of evapotranspiration estimation models for use in semi-arid environments. Agricultural Water Management 64: 91–106. DOI: https://doi.org/10.1016/S0378-3774(03)00200-2

Doorenbos J and Pruitt W O. 1975. Guidelines for predicting crop water requirements, Irrigation Drainage Paper no. 24, FAO-ONU, Rome, Italy, 168 p.

Doorenbos J and Pruitt W O. 1977. Crop Water Requirements. FAO Irrigation and Drainage Paper 24. FAO, Rome, Italy, 144 p. Evans R, Sneed R E and Cassel D K. 1996. Irrigation scheduling to improve water- and energy- efficiencies. Pub. No., AG 452- 4, North Carolina Cooperative Extension Service. Evaporation. Journal of Hydrology 45: 276–84.

Fooladmand H R and Ahmadi S H. 2009. Monthly spatial calibration of Blaney-Criddle equation for calculating monthly ETo in south of Iran. Journal of Irrigation and Drainage 58: 234–45. DOI: https://doi.org/10.1002/ird.409

Gavilan P, Lorite I J, Tornero S and Berengena J. 2006. Regional calibration of Hargreaves equation for estimation of reference ET in a semiarid environment. Agricultural Water Management 81: 257–81. DOI: https://doi.org/10.1016/j.agwat.2005.05.001

Green S R, Kirkham M B and Brent E C. 2006. Root uptake and transpiration: From measurements and models to Sustainable irrigation. Agricultural Water Management 86: 165–76. DOI: https://doi.org/10.1016/j.agwat.2006.06.008

Hargreaves G H and Samani Z A. 1982. Estimating potential evapotranspiration. Journal of Irrigation and Drainage Engineering (ASCE) 108(3): 225–30. DOI: https://doi.org/10.1061/JRCEA4.0001390

Hargreaves G L and Samani Z A. 1985. Reference crop evapotranspiration from temperature. Appl. Eng. Agric. Trans. ASAE 1 (2): 96–9. DOI: https://doi.org/10.13031/2013.26773

Horvath S, Szep I J, Marka L, Mika J, Pajto I and Utasi Z. 2010. Effect of evapotranspiration parameterization on the Palmer Drought Severity Index. Physics Chemistry Earth 35: 11–8. DOI: https://doi.org/10.1016/j.pce.2010.03.015

Jensen M E. 1968.Water consumption by agricultural plants. Chapter-1. (In). Water Deficits and Plant Growth, Vol. II pp 1–22 Kozlowski T T (Ed). Academic Press, New York.

Kumar M, Raghuwanshi N S, Singh R, Wallender W W and Pruitt W O. 2002 Estimating evapotranspiration using artificial neural network. Journal of Irrigation and Drainage Engineering (ASCE) 128: 224–33. DOI: https://doi.org/10.1061/(ASCE)0733-9437(2002)128:4(224)

Martin. 2000. ASCE’s standardized reference evapotranspiration equation. Proceedings of 4th National. Irrigi Symp, ASAE, Phoenix, AZ.

Mohawesh O E. 2011. Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments. Journal of Plant Soil Environmental 57 (4): 145–52. DOI: https://doi.org/10.17221/240/2010-PSE

Mostafazadeh-Fard B, Heidarpour M and Hashemi S E. 2009. Species factor and evapotranspiration for an ash (Fraxinus rotundifolia) and cypress (Cupressus arizonica) in an arid region. Australian Journal of Crop Science 3 (2): 71–82.

Rasul G. 1992. Water requirement of wheat crop in Pakistan. Journal of Engineering and Applied Science 3: 65–79.

Singandhupe R B and Sethi R R. 2005. Estimation of reference evapotranspiration and crop coefficient in wheat under semi-arid environment in India. Arch. Agron. Soil Sci. 51: 619–31. DOI: https://doi.org/10.1080/03650340500273831

Shuttleworth W J. 1992. Evaporation: Handbook of Hydrology. Maidment D R, (ed.). McGraw-Hill, New York.

Trajkovic S, Branimir T and Stankovic M. 2003. Forecasting of reference evapotranspiration using artificial neural network. Journal of Irrigation and Drainage Engineering (ASCE) 129: 454–7. DOI: https://doi.org/10.1061/(ASCE)0733-9437(2003)129:6(454)