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Rice growth period detection and paddy field evapotranspiration estimation based on an improved SEBAL model: Considering the applicable conditions of the advection equation

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  • Wei, Jun
  • Cui, Yuanlai
  • Luo, Yufeng

Abstract

Evapotranspiration (ET) plays a vital role in surface energy balance and water management. Paddy rice is one of the most water-intensive crops and a staple food worldwide; thus, paddy field ET estimation is an impactful task. In this paper, an improved Surface Energy Balance Algorithm for Land (SEBALR) model is proposed to estimate the paddy field ET and is validated in different climate zones; it considers the advection effect and its applicable condition at the pixel scale and requires no ground-measured data. SEBALR contains two core modules: rice growth period detection and ET retrieval. SEBALR accurately monitored the planting and harvest dates, with an average error of less than 9 days, except for a paddy field located in the US, which had adopted dry seeding. The comparison between the estimation results and eddy covariance data shows that SEBALR can provide a more precise ET estimation than the original Surface Energy Balance Algorithm for Land, yielding a root mean squared error (RMSE) of 1.02 mm·d-1, mean relative error (MRE) of 22.97% and Pearson’s correlation (R2) of 0.790. SEBALR successfully monitored paddy field ET from 2001 to 2019 in Nanchang City (NC), China. Yearly ET did not show an apparent change in trend from 2001 to 2019 in NC. SEBALR can be used to monitor the paddy rice growth period and estimate paddy field ET at a regional scale with limited data, providing helpful information for agricultural practices and water management.

Suggested Citation

  • Wei, Jun & Cui, Yuanlai & Luo, Yufeng, 2023. "Rice growth period detection and paddy field evapotranspiration estimation based on an improved SEBAL model: Considering the applicable conditions of the advection equation," Agricultural Water Management, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:agiwat:v:278:y:2023:i:c:s0378377423000069
    DOI: 10.1016/j.agwat.2023.108141
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    1. Qin, Jiangtao & Hu, Feng & Zhang, Bin & Wei, Zhenggui & Li, Huixin, 2006. "Role of straw mulching in non-continuously flooded rice cultivation," Agricultural Water Management, Elsevier, vol. 83(3), pages 252-260, June.
    2. Lv, Yuping & Xu, Junzeng & Yang, Shihong & Liu, Xiaoyin & Zhang, Jiangang & Wang, Yijiang, 2018. "Inter-seasonal and cross-treatment variability in single-crop coefficients for rice evapotranspiration estimation and their validation under drying-wetting cycle conditions," Agricultural Water Management, Elsevier, vol. 196(C), pages 154-161.
    3. Wei, Jun & Cui, Yuanlai & Zhou, Sihang & Luo, Yufeng, 2022. "Regional water-saving potential calculation method for paddy rice based on remote sensing," Agricultural Water Management, Elsevier, vol. 267(C).
    4. Li, Longhui & Yu, Qiang, 2007. "Quantifying the effects of advection on canopy energy budgets and water use efficiency in an irrigated wheat field in the North China Plain," Agricultural Water Management, Elsevier, vol. 89(1-2), pages 116-122, April.
    5. Mhawej, Mario & Caiserman, Arnaud & Nasrallah, Ali & Dawi, Ali & Bachour, Roula & Faour, Ghaleb, 2020. "Automated evapotranspiration retrieval model with missing soil-related datasets: The proposal of SEBALI," Agricultural Water Management, Elsevier, vol. 229(C).
    6. Choudhury, B.U. & Singh, Anil Kumar & Pradhan, S., 2013. "Estimation of crop coefficients of dry-seeded irrigated rice–wheat rotation on raised beds by field water balance method in the Indo-Gangetic plains, India," Agricultural Water Management, Elsevier, vol. 123(C), pages 20-31.
    7. Martina Flörke & Christof Schneider & Robert I. McDonald, 2018. "Water competition between cities and agriculture driven by climate change and urban growth," Nature Sustainability, Nature, vol. 1(1), pages 51-58, January.
    8. Simons, G.W.H. & Bastiaanssen, W.G.M. & Cheema, M.J.M. & Ahmad, B. & Immerzeel, W.W., 2020. "A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan," Agricultural Water Management, Elsevier, vol. 236(C).
    9. Rahimzadegan, Majid & Janani, AdelehalSadat, 2019. "Estimating evapotranspiration of pistachio crop based on SEBAL algorithm using Landsat 8 satellite imagery," Agricultural Water Management, Elsevier, vol. 217(C), pages 383-390.
    10. Paolo D’Odorico & Davide Danilo Chiarelli & Lorenzo Rosa & Alfredo Bini & David Zilberman & Maria Cristina Rulli, 2020. "The global value of water in agriculture," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(36), pages 21985-21993, September.
    11. Wang, Shangtao & Zhu, Gaofeng & Xia, Dunsheng & Ma, Jinzhu & Han, Tuo & Ma, Ting & Zhang, Kun & Shang, Shasha, 2019. "The characteristics of evapotranspiration and crop coefficients of an irrigated vineyard in arid Northwest China," Agricultural Water Management, Elsevier, vol. 212(C), pages 388-398.
    12. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    13. Jing Liao & Yueming Hu & Hongliang Zhang & Luo Liu & Zhenhua Liu & Zhengxi Tan & Guangxing Wang, 2018. "A Rice Mapping Method Based on Time-Series Landsat Data for the Extraction of Growth Period Characteristics," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    14. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    15. Alberto, Ma. Carmelita R. & Wassmann, Reiner & Hirano, Takashi & Miyata, Akira & Hatano, Ryusuke & Kumar, Arvind & Padre, Agnes & Amante, Modesto, 2011. "Comparisons of energy balance and evapotranspiration between flooded and aerobic rice fields in the Philippines," Agricultural Water Management, Elsevier, vol. 98(9), pages 1417-1430, July.
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