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Quantification of wheat crop evapotranspiration and mapping: A case study from Bhiwani District of Haryana, India

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  • Rawat, Kishan Singh
  • Bala, Anju
  • Singh, Sudhir Kumar
  • Pal, Raj Kumar

Abstract

In this study an attempt has been made to estimate the actual wheat crop evapotranspiration (ETc) by Surface Energy Balance Algorithm (SEBAL) and standardized FAO-Penman-Monteith (FAO-PM) method. Improved knowledge of evapotranspiration (ET) helps in understanding the water balance of any region. The results obtained through measured lysimeter, SEBAL and PM method were evaluated through statistical performance measure tests. ETc estimated from SEBAL was found to correlate significantly as R2 (0.91) with the measured ETc of lysimeter. ETc estimated by SEBAL was also compared with PM ETc with the help of crop coefficient and was found to correlate significantly as R2 (0.85). The other statistical parameters (RMSE=0.56, nRMSE=0.09, MAE=0.26, NRMSE=0.20, R-RMSE=0.27, NSE=1, d=0.87 (≈1)) were also showing a good agreement between SEBAL ETc and PM ETc. The findings of work have suggested that SEBAL model shows a good potential to estimate spatial ETc for the region. Additionally the validation of models results were performed with the analysis of correlation between models ETc and district level wheat production and area under crop of five years. The results of this analysis outline that water availability and good amount of rainfall gives higher wheat yield and resulted into more ETc.

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  • Rawat, Kishan Singh & Bala, Anju & Singh, Sudhir Kumar & Pal, Raj Kumar, 2017. "Quantification of wheat crop evapotranspiration and mapping: A case study from Bhiwani District of Haryana, India," Agricultural Water Management, Elsevier, vol. 187(C), pages 200-209.
    • Handle: RePEc:eee:agiwat:v:187:y:2017:i:c:p:200-209
    DOI: 10.1016/j.agwat.2017.03.015
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    References listed on IDEAS

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    Cited by:

    1. Saggi, Mandeep Kaur & Jain, Sushma, 2020. "Application of fuzzy-genetic and regularization random forest (FG-RRF): Estimation of crop evapotranspiration (ETc) for maize and wheat crops," Agricultural Water Management, Elsevier, vol. 229(C).
    2. Helman, David & Bonfil, David J. & Lensky, Itamar M., 2019. "Crop RS-Met: A biophysical evapotranspiration and root-zone soil water content model for crops based on proximal sensing and meteorological data," Agricultural Water Management, Elsevier, vol. 211(C), pages 210-219.
    3. Kamali, Mohammad Ismaeil & Nazari, Rouzbeh, 2018. "Determination of maize water requirement using remote sensing data and SEBAL algorithm," Agricultural Water Management, Elsevier, vol. 209(C), pages 197-205.

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