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Irrigation scheduling of paddy rice using short-term weather forecast data

Author

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  • Cao, Jingjing
  • Tan, Junwei
  • Cui, Yuanlai
  • Luo, Yufeng

Abstract

Better use of rainfall is an essential strategy to save irrigation water for paddy rice. Since unnecessary irrigation is usually applied to field without considering the possible rainfall after irrigation, weather forecast (e.g., rainfall) can be used to potentially save irrigation water. In this study, the rainfall event mainly focused on the total rainfall in consecutive 3 days within rice growth period rather than the daily rainfall. Based on that, three rain levels were redefined for irrigation decision-making. By incorporating the possible rain level of the first 3 days in weather forecast horizon, a new method based on simple decision rule was proposed and evaluated for irrigation scheduling of paddy rice over a wide range of climate conditions in China. The results indicated that, the occurrence probability of each rain level in next 3 days can be clearly recognized, and their forecasting performance was much better than that of daily rain events. Comparing to the conventional irrigation, the newly proposed irrigation scheduling method can further save irrigation water (about 0 − 100 mm) and reduce drainage (about 0 − 60 mm) without significant yield loss (< 1%). The results also showed that, the efficiency of water saving and drainage reduction had a certain correlation with the total rainfall and the daily rainfall distribution during rice growth period. Moreover, about 1 − 3 extra irrigations were needed in this new irrigation scheduling method due to great temp-spatial variation of rainfall distributions and imperfect weather forecasts. Nevertheless, the newly proposed irrigation scheduling method incorporated with weather forecast is suggested to apply in irrigation practice for its simplicity and effectiveness.

Suggested Citation

  • Cao, Jingjing & Tan, Junwei & Cui, Yuanlai & Luo, Yufeng, 2019. "Irrigation scheduling of paddy rice using short-term weather forecast data," Agricultural Water Management, Elsevier, vol. 213(C), pages 714-723.
  • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:714-723
    DOI: 10.1016/j.agwat.2018.10.046
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    1. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    2. Nijbroek, Ravic & Hoogenboom, Gerrit & Jones, James W., 2003. "Optimizing irrigation management for a spatially variable soybean field," Agricultural Systems, Elsevier, vol. 76(1), pages 359-377, April.
    3. Belder, P. & Bouman, B. A. M. & Cabangon, R. & Guoan, Lu & Quilang, E. J. P. & Yuanhua, Li & Spiertz, J. H. J. & Tuong, T. P., 2004. "Effect of water-saving irrigation on rice yield and water use in typical lowland conditions in Asia," Agricultural Water Management, Elsevier, vol. 65(3), pages 193-210, March.
    4. Choudhury, B.U. & Singh, Anil Kumar, 2016. "Estimation of crop coefficient of irrigated transplanted puddled rice by field scale water balance in the semi-arid Indo-Gangetic Plains, India," Agricultural Water Management, Elsevier, vol. 176(C), pages 142-150.
    5. Monaco, Federica & Sali, Guido, 2018. "How water amounts and management options drive Irrigation Water Productivity of rice. A multivariate analysis based on field experiment data," Agricultural Water Management, Elsevier, vol. 195(C), pages 47-57.
    6. Gowing, J. W. & Ejieji, C. J., 2001. "Real-time scheduling of supplemental irrigation for potatoes using a decision model and short-term weather forecasts," Agricultural Water Management, Elsevier, vol. 47(2), pages 137-153, March.
    7. Luo, Yufeng & Chang, Xiaomin & Peng, Shizhang & Khan, Shahbaz & Wang, Weiguang & Zheng, Qiang & Cai, Xueliang, 2014. "Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts," Agricultural Water Management, Elsevier, vol. 136(C), pages 42-51.
    8. Stirzaker, Richard J. & Maeko, Tshepo C. & Annandale, John G. & Steyn, J. Martin & Adhanom, Goitom T. & Mpuisang, Thembeka, 2017. "Scheduling irrigation from wetting front depth," Agricultural Water Management, Elsevier, vol. 179(C), pages 306-313.
    9. Shang, Songhao & Mao, Xiaomin, 2006. "Application of a simulation based optimization model for winter wheat irrigation scheduling in North China," Agricultural Water Management, Elsevier, vol. 85(3), pages 314-322, October.
    10. 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.
    11. Bouman, B. A. M. & Tuong, T. P., 2001. "Field water management to save water and increase its productivity in irrigated lowland rice," Agricultural Water Management, Elsevier, vol. 49(1), pages 11-30, July.
    12. Yoshinaga, Ikuo & Miura, Asa & Hitomi, Tadayoshi & Hamada, Koji & Shiratani, Eisaku, 2007. "Runoff nitrogen from a large sized paddy field during a crop period," Agricultural Water Management, Elsevier, vol. 87(2), pages 217-222, January.
    13. Yang, Yang & Cui, Yuanlai & Luo, Yufeng & Lyu, Xinwei & Traore, Seydou & Khan, Shahbaz & Wang, Weiguang, 2016. "Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 177(C), pages 329-339.
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    1. Chen, Mengting & Cui, Yuanlai & Wang, Xiaonan & Xie, Hengwang & Liu, Fangping & Luo, Tongyuan & Zheng, Shizong & Luo, Yufeng, 2021. "A reinforcement learning approach to irrigation decision-making for rice using weather forecasts," Agricultural Water Management, Elsevier, vol. 250(C).
    2. Longo-Minnolo, G. & Vanella, D. & Consoli, S. & Intrigliolo, D.S. & Ramírez-Cuesta, J.M., 2020. "Integrating forecast meteorological data into the ArcDualKc model for estimating spatially distributed evapotranspiration rates of a citrus orchard," Agricultural Water Management, Elsevier, vol. 231(C).

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