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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 51 issue 6 (december 2017) : 596-600,   Doi: 10.18805/IJARe.A-4770

Estimation of reference evapotranspiration using Aquacrop model for agro-climatic conditions of Madhya Pradesh

D
Deepika Yadav
M
M.K. Awasthi
R
R.K. Nema
1Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482 004, Madhya Pradesh, India
Cite article:- Yadav Deepika, Awasthi M.K., Nema R.K. (2017). Estimation of reference evapotranspiration using Aquacrop model for agro-climatic conditions of Madhya Pradesh. Indian Journal of Agricultural Research. 51(6): 596-600. doi: 10.18805/IJARe.A-4770.

ABSTRACT

Accurate estimation of evapotranspiration is necessary step for better management and allocation of water resources. The United Nations Food and Agriculture Organization (FAO) adopted the Penman Moneith method as a global standard to estimate reference crop evapotranspiration (ETo). The study aimed to estimate FAO P-M reference evapotranspiration for different district of five agro climatic zones of Madhya Pradesh state by using Aquacrop model. Daily weather data including maximum and minimum temperature, precipitation, relative humidity, wind speed and solar radiation were collected for the period of 1979 to 2013 which were used as input data in Aquacrop. Several statistical parameters were used for characterizing the spatial and temporal variability of ETo. The average monthly ETo was found maximum in month of May (10.67 mm day-1) in all district of different agro climatic zones for the average period considered for the study and also for each years, whereas average minimum ETo was estimated in month of December (3.23 mm day-1) in Kymore Plateau and August (2.44 mm day-1) in Satpura Plateau. The mean daily reference evapotranspiration ranges from 4 mm day-1 to 10 mm day-1 for all districts. From the statistical analysis it was found that spatial variability of ETo lower than the temporal variability. It means the bigger differentiation of ETo in the years than in the space.

REFERENCES

  1. Allen, R.G., Pereira, L.A., Raes, D. and Smith M. (1998). Crop Evapotranspiration. Guidelines for computing crop water requirement. FAO Irrigation and Drainage Paper No. 56. FAO, Rome, Italy. pp. 300.
  2. Hsiao, T.C., Heng, L., Steduto, P., Rojas-Lara, B., Raes, D. and Fereres, E. (2009). AquaCrop “ The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal, 101(3): 448”459. DOI: 10.2134/agronj2008.0218s
  3. Jensen, M.E., Burman, R.D. and Allen, R.G. (1990). Evapotranspiration and Irrigation Water Requirements. ASCE Manuals and Reports on Engineering Practice No. 70. American Society of Civil Engineers, New York.
  4. Kashyap, P.S. and Panda, R.K. (2001). Evaluation of evapotranspiration methods and development of crop coefficients for potato crop in a sub-humid region. Agricultural Water Management, Amsterdam, 50(1): 9-25.
  5. Labedzki, L., Kanecka-Geszke, E., Bak, B. and Slowinska, S. (2011). Estimation of reference evapotranspiration using the FAO Penman-Monteith method for climatic conditions of Poland. ISBN: 978-953-307-251-7.
  6. Mohan, S. and Arumugam, N. (1996). Relative importance of meteorological variables in evapotranspiration: Factor analysis approach. Water Resources Management, 10 (1): 1–20.
  7. Nandagiri, L. and Kovoor, M.G. (2006). Performance evaluation of reference evapotranspiration equations across a range of Indian climates. Journal of Irrigation and Drainage Engineering. ASCE, 132(3): 238-249. 
  8. Steduto, P., Raes, D., Hsiao, T.C., Fereres, E., Heng, L., Izzi, G. and Hoogeveen, J. (2008). AquaCrop: a new model for crop prediction under water deficit conditions. Drought management: scientific and technological innovations, 80: 285"292.
  9. Steduto, P., Hsiao, T.C., Fereres, E. and Raes, D. (2012). Crop Yield Response to Water. FAO Irrigation and Drainage Paper. Rome, Italy.
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Indian Journal of Agricultural Research
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    Research Article

    volume 51 issue 6 (december 2017) : 596-600,   Doi: 10.18805/IJARe.A-4770

    Estimation of reference evapotranspiration using Aquacrop model for agro-climatic conditions of Madhya Pradesh

    D
    Deepika Yadav
    M
    M.K. Awasthi
    R
    R.K. Nema
    1Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482 004, Madhya Pradesh, India
    Cite article:- Yadav Deepika, Awasthi M.K., Nema R.K. (2017). Estimation of reference evapotranspiration using Aquacrop model for agro-climatic conditions of Madhya Pradesh. Indian Journal of Agricultural Research. 51(6): 596-600. doi: 10.18805/IJARe.A-4770.

    ABSTRACT

    Accurate estimation of evapotranspiration is necessary step for better management and allocation of water resources. The United Nations Food and Agriculture Organization (FAO) adopted the Penman Moneith method as a global standard to estimate reference crop evapotranspiration (ETo). The study aimed to estimate FAO P-M reference evapotranspiration for different district of five agro climatic zones of Madhya Pradesh state by using Aquacrop model. Daily weather data including maximum and minimum temperature, precipitation, relative humidity, wind speed and solar radiation were collected for the period of 1979 to 2013 which were used as input data in Aquacrop. Several statistical parameters were used for characterizing the spatial and temporal variability of ETo. The average monthly ETo was found maximum in month of May (10.67 mm day-1) in all district of different agro climatic zones for the average period considered for the study and also for each years, whereas average minimum ETo was estimated in month of December (3.23 mm day-1) in Kymore Plateau and August (2.44 mm day-1) in Satpura Plateau. The mean daily reference evapotranspiration ranges from 4 mm day-1 to 10 mm day-1 for all districts. From the statistical analysis it was found that spatial variability of ETo lower than the temporal variability. It means the bigger differentiation of ETo in the years than in the space.

    REFERENCES

    1. Allen, R.G., Pereira, L.A., Raes, D. and Smith M. (1998). Crop Evapotranspiration. Guidelines for computing crop water requirement. FAO Irrigation and Drainage Paper No. 56. FAO, Rome, Italy. pp. 300.
    2. Hsiao, T.C., Heng, L., Steduto, P., Rojas-Lara, B., Raes, D. and Fereres, E. (2009). AquaCrop “ The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal, 101(3): 448”459. DOI: 10.2134/agronj2008.0218s
    3. Jensen, M.E., Burman, R.D. and Allen, R.G. (1990). Evapotranspiration and Irrigation Water Requirements. ASCE Manuals and Reports on Engineering Practice No. 70. American Society of Civil Engineers, New York.
    4. Kashyap, P.S. and Panda, R.K. (2001). Evaluation of evapotranspiration methods and development of crop coefficients for potato crop in a sub-humid region. Agricultural Water Management, Amsterdam, 50(1): 9-25.
    5. Labedzki, L., Kanecka-Geszke, E., Bak, B. and Slowinska, S. (2011). Estimation of reference evapotranspiration using the FAO Penman-Monteith method for climatic conditions of Poland. ISBN: 978-953-307-251-7.
    6. Mohan, S. and Arumugam, N. (1996). Relative importance of meteorological variables in evapotranspiration: Factor analysis approach. Water Resources Management, 10 (1): 1–20.
    7. Nandagiri, L. and Kovoor, M.G. (2006). Performance evaluation of reference evapotranspiration equations across a range of Indian climates. Journal of Irrigation and Drainage Engineering. ASCE, 132(3): 238-249. 
    8. Steduto, P., Raes, D., Hsiao, T.C., Fereres, E., Heng, L., Izzi, G. and Hoogeveen, J. (2008). AquaCrop: a new model for crop prediction under water deficit conditions. Drought management: scientific and technological innovations, 80: 285"292.
    9. Steduto, P., Hsiao, T.C., Fereres, E. and Raes, D. (2012). Crop Yield Response to Water. FAO Irrigation and Drainage Paper. Rome, Italy.
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