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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 52 issue 2 (april 2018) : 187-190,   Doi: 10.18805/IJARe.A-4702

Comparison of methods for estimation of reference evapotranspiration in North-Central Plateau zone of Odisha

R
Rajashree Khatua
S
S. Pasupalak
1Department of Agriculture Meteorology, Orissa University of Agriculture and Technology, Bhubaneswar-751 003, Odisha, India.
Cite article:- Khatua Rajashree, Pasupalak S. (2018). Comparison of methods for estimation of reference evapotranspiration in North-Central Plateau zone of Odisha. Indian Journal of Agricultural Research. 52(2): 187-190. doi: 10.18805/IJARe.A-4702.

ABSTRACT

Estimation of Evapotranspiration is vital role for proper water management and efficient farming activities. A decision support system (DSS_ET) was developed which supports 22 ET0 estimation methods with varied options for calculation of various intermediate parameters. The objective of the study is to estimate ET0 in the North central Plateau zone of Odisha, using weather data of the respective locality and screening of methods to estimate ET0 close to FAO-56 Penman Monteith method. The FAO-24 Penman(c=1) and Turc methods yielded the highest (5.605 mm/day) and the lowest mean ET0 (4.201 mm/day) respectively. For this zone, the highest ET0 values  was found to be 10.32 mm/d for FAO-24 Penman(c=1) method followed by Businger-van Bavel (9.73 mm/d) and FAO-PPP-17-Penman (9.68 mm/d) in the month of May, whereas, lowest ET0 value was found in the month of December (2.54 mm/d) for the Priestly-Taylor method followed by 1982 Kimberly-Penman method (3.07 mm/d). Among all the methods, Penman-Monteith and Priestley-Taylor methods were ranked first and tenth respectively. For this zone, correction factor for Penman-Monteith and 1982 Kimberly-Penman methods approaches to one. The FAO-24 Penman (c=1) and Businger-van Bavel methods give more diversion from FAO-56 Penman-Monteith method.

REFERENCES

  1. Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration: guidelines for computing crop water requirements – FAO Irrigation and Drainage paper 56. FAO, Rome, Italy: 300.
  2. Almhab, A., and Busu, I., (2008). Decision support system for estimation of regional in arid areas: Application to the republic of Yemen. Mountain GIS e-conference, 14-15 January, Department of Remote Sensing University Technology, Johor, Malaysia. 
  3. Bandyopadhyay A, Bhadra A, Swarnakar RK, Raghuwanshi NS and Singh R. 2012. Estimation of reference evapotranspiration using a user-friendly decision support system: DSS ET, Journal of Agriculture and Forest Meteorology, 154 (155): 19-29.
  4. Doorenbos, J. & Pruitt, W. O. (1977)., 1977 Guidelines for Predicting Crop Water Requirements, Irrigation and Drainage Paper-24, Food and Agriculture organization of the united Nations (FAO), Rome, Italy.
  5. Doorenbos, J., W.O. Pruitt, 1984. Guidelines for Predicting Crop Water Requirement, FAO Irrigation and Drainage Paper 24. FAO, Rome, 144 pp.
  6. Martinez, C.J. and Thepadia, M. (2010) Estimating reference evapotranspiration with minimum data in Florida. Journal of Irrigation and Drainage Engineering, 136, 494-501. 
  7. http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000214
  8. Monteith, J.L. (1965) Evaporation and Environment. Symposia of the Society for Experimental Biology, 19: 205-234.
  9. Reddy BRS. 1999. Development of a decision support system for estimating evapotranspiartion, M.Tech Thesis, Dept. Agri. Food Engg., Indian Institute of Technology Kharagpur, India.
  10. Swarnakar, R. K and Raghuwanshi, N. S.,(2000). DSS_ET user manual Department of Agriculture and Food Engineering, India Institute of Technology, Kharagpur, India.
  11. Tabari, H. and Talaee, P.H., (2011). Local Callibration of the Hargreaves and Priestly-Taylor equations for estimating reference evapo transpiration in arid and cold climates of Iran based on the Penman- Monteith Model. Journal of Irrigation and Drainage Engineering, ASCE, 138(2):111-119
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Indian Journal of Agricultural Research
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    Research Article

    volume 52 issue 2 (april 2018) : 187-190,   Doi: 10.18805/IJARe.A-4702

    Comparison of methods for estimation of reference evapotranspiration in North-Central Plateau zone of Odisha

    R
    Rajashree Khatua
    S
    S. Pasupalak
    1Department of Agriculture Meteorology, Orissa University of Agriculture and Technology, Bhubaneswar-751 003, Odisha, India.
    Cite article:- Khatua Rajashree, Pasupalak S. (2018). Comparison of methods for estimation of reference evapotranspiration in North-Central Plateau zone of Odisha. Indian Journal of Agricultural Research. 52(2): 187-190. doi: 10.18805/IJARe.A-4702.

    ABSTRACT

    Estimation of Evapotranspiration is vital role for proper water management and efficient farming activities. A decision support system (DSS_ET) was developed which supports 22 ET0 estimation methods with varied options for calculation of various intermediate parameters. The objective of the study is to estimate ET0 in the North central Plateau zone of Odisha, using weather data of the respective locality and screening of methods to estimate ET0 close to FAO-56 Penman Monteith method. The FAO-24 Penman(c=1) and Turc methods yielded the highest (5.605 mm/day) and the lowest mean ET0 (4.201 mm/day) respectively. For this zone, the highest ET0 values  was found to be 10.32 mm/d for FAO-24 Penman(c=1) method followed by Businger-van Bavel (9.73 mm/d) and FAO-PPP-17-Penman (9.68 mm/d) in the month of May, whereas, lowest ET0 value was found in the month of December (2.54 mm/d) for the Priestly-Taylor method followed by 1982 Kimberly-Penman method (3.07 mm/d). Among all the methods, Penman-Monteith and Priestley-Taylor methods were ranked first and tenth respectively. For this zone, correction factor for Penman-Monteith and 1982 Kimberly-Penman methods approaches to one. The FAO-24 Penman (c=1) and Businger-van Bavel methods give more diversion from FAO-56 Penman-Monteith method.

    REFERENCES

    1. Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration: guidelines for computing crop water requirements – FAO Irrigation and Drainage paper 56. FAO, Rome, Italy: 300.
    2. Almhab, A., and Busu, I., (2008). Decision support system for estimation of regional in arid areas: Application to the republic of Yemen. Mountain GIS e-conference, 14-15 January, Department of Remote Sensing University Technology, Johor, Malaysia. 
    3. Bandyopadhyay A, Bhadra A, Swarnakar RK, Raghuwanshi NS and Singh R. 2012. Estimation of reference evapotranspiration using a user-friendly decision support system: DSS ET, Journal of Agriculture and Forest Meteorology, 154 (155): 19-29.
    4. Doorenbos, J. & Pruitt, W. O. (1977)., 1977 Guidelines for Predicting Crop Water Requirements, Irrigation and Drainage Paper-24, Food and Agriculture organization of the united Nations (FAO), Rome, Italy.
    5. Doorenbos, J., W.O. Pruitt, 1984. Guidelines for Predicting Crop Water Requirement, FAO Irrigation and Drainage Paper 24. FAO, Rome, 144 pp.
    6. Martinez, C.J. and Thepadia, M. (2010) Estimating reference evapotranspiration with minimum data in Florida. Journal of Irrigation and Drainage Engineering, 136, 494-501. 
    7. http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000214
    8. Monteith, J.L. (1965) Evaporation and Environment. Symposia of the Society for Experimental Biology, 19: 205-234.
    9. Reddy BRS. 1999. Development of a decision support system for estimating evapotranspiartion, M.Tech Thesis, Dept. Agri. Food Engg., Indian Institute of Technology Kharagpur, India.
    10. Swarnakar, R. K and Raghuwanshi, N. S.,(2000). DSS_ET user manual Department of Agriculture and Food Engineering, India Institute of Technology, Kharagpur, India.
    11. Tabari, H. and Talaee, P.H., (2011). Local Callibration of the Hargreaves and Priestly-Taylor equations for estimating reference evapo transpiration in arid and cold climates of Iran based on the Penman- Monteith Model. Journal of Irrigation and Drainage Engineering, ASCE, 138(2):111-119
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