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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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    1. Abdelhadi, A. W. & Hata, Takeshi & Tanakamaru, Haruya & Tada, Akio & Tariq, M. A., 2000. "Estimation of crop water requirements in arid region using Penman-Monteith equation with derived crop coefficients: a case study on Acala cotton in Sudan Gezira irrigated scheme," Agricultural Water Management, Elsevier, vol. 45(2), pages 203-214, July.
    2. Li, Xiaojie & Kang, Shaozhong & Li, Fusheng & Jiang, Xuelian & Tong, Ling & Ding, Risheng & Li, Sien & Du, Taisheng, 2016. "Applying segmented Jarvis canopy resistance into Penman-Monteith model improves the accuracy of estimated evapotranspiration in maize for seed production with film-mulching in arid area," Agricultural Water Management, Elsevier, vol. 178(C), pages 314-324.
    3. David B. Lobell & Adam Sibley & J. Ivan Ortiz-Monasterio, 2012. "Extreme heat effects on wheat senescence in India," Nature Climate Change, Nature, vol. 2(3), pages 186-189, March.
    4. Muniandy, Josilva M. & Yusop, Zulkifli & Askari, Muhamad, 2016. "Evaluation of reference evapotranspiration models and determination of crop coefficient for Momordica charantia and Capsicum annuum," Agricultural Water Management, Elsevier, vol. 169(C), pages 77-89.
    5. Xu, Junzeng & Liu, Xiaoyin & Yang, Shihong & Qi, Zhiming & Wang, Yijiang, 2017. "Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation," Agricultural Water Management, Elsevier, vol. 182(C), pages 55-66.
    6. Hou, Lizhu & Wenninger, Jochen & Shen, Jiangen & Zhou, Yangxiao & Bao, Han & Liu, Haijun, 2014. "Assessing crop coefficients for Zea mays in the semi-arid Hailiutu River catchment, northwest China," Agricultural Water Management, Elsevier, vol. 140(C), pages 37-47.
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    Cited by:

    1. 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.
    2. 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).
    3. 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.

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