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Evaluation and Prediction of Agricultural Water Use Efficiency in the Jianghan Plain Based on the Tent-SSA-BPNN Model

Author

Listed:
  • Tianshu Shao

    (School of Innovation and Entrepreneurship, Zhejiang University of Finance and Economics Dongfang College, Haining 314408, China)

  • Xiangdong Xu

    (School of Foreign Languages, Zhejiang University of Finance and Economics Dongfang College, Haining 314408, China)

  • Yuelong Su

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
    Key Laboratory for Geographical Process Analysis & Simulation in Hubei Province, Central China Normal University, Wuhan 430079, China)

Abstract

The Jianghan Plain (JHP) is a key agricultural area in China where efficient agricultural water use (AWUE) is vital for sustainable water management, food security, environmental sustainability, and economic growth. This study introduces a novel AWUE prediction model for the JHP, combining a BP neural network with the Sparrow Search Algorithm (SSA) and an improved Tent Mixing Algorithm (Tent-SSA-BPNN). This hybrid model addresses the limitations of traditional methods by enhancing AWUE forecast accuracy and stability. By integrating historical AWUE data and environmental factors, the model provides a detailed understanding of AWUE’s spatial and temporal variations. Compared to traditional BP neural networks and other methods, the Tent-SSA-BPNN model significantly improves prediction accuracy and stability, achieving an accuracy (ACC) of 96.218%, a root mean square error (RMSE) of 0.952, and a coefficient of determination (R 2 ) of 0.9939, surpassing previous models. The results show that (1) from 2010 to 2022, the average AWUE in the JHP fluctuated within a specific range, exhibiting a decrease of 0.69%, with significant differences in the spatial and temporal distributions across various cities; (2) the accuracy (ACC) of the Tent-SSA-BPNN prediction model was 96.218%, the root mean square error (RMSE) was 0.952, and the coefficient of determination (R²) value was 0.9939. (3) Compared with those of the preoptimization model, the ACC, RMSE, and R² values of the Tent-SSA-BPNN model significantly improved in terms of accuracy and stability, clearly indicating the efficacy of the optimization. (4) The prediction results reveal that the proportion of agricultural water consumption has a significant impact on AWUE. These results provide actionable insights for optimizing water resource allocation, particularly in water-scarce regions, and guide policymakers in enhancing agricultural water management strategies, supporting sustainable agricultural development.

Suggested Citation

  • Tianshu Shao & Xiangdong Xu & Yuelong Su, 2025. "Evaluation and Prediction of Agricultural Water Use Efficiency in the Jianghan Plain Based on the Tent-SSA-BPNN Model," Agriculture, MDPI, vol. 15(2), pages 1-32, January.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:2:p:140-:d:1563822
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    1. Dan-dan Zhang & Ju-qin Shen & Fu-hua Sun, 2022. "Water Resources Liability Measurement and the Driving Factors of Water Resources Liability Intensity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1553-1569, March.
    2. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    3. Shulong Li & Zhizhang Wang, 2023. "The Effects of Agricultural Technology Progress on Agricultural Carbon Emission and Carbon Sink in China," Agriculture, MDPI, vol. 13(4), pages 1-21, March.
    4. Zhang, Weipan & Wu, Xianhua & Chen, Jihong, 2024. "Low-carbon efficiency analysis of rail-water multimodal transport based on cross efficiency network DEA approach," Energy, Elsevier, vol. 305(C).
    5. Prakashan Veettil & Stijn Speelman & Guido Huylenbroeck, 2013. "Estimating the Impact of Water Pricing on Water Use Efficiency in Semi-arid Cropping System: An Application of Probabilistically Constrained Nonparametric Efficiency Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 55-73, January.
    6. Jinfeng Yang & Xuelei Wang & Xinrong Li & Zhuang Tian & Guoyuan Zou & Lianfeng Du & Xuan Guo, 2023. "Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province," Sustainability, MDPI, vol. 15(23), pages 1-14, November.
    7. Zhu, Yunlong & Dong, Zhe & Cheng, Zhonghua & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2023. "Neural network extended state-observer for energy system monitoring," Energy, Elsevier, vol. 263(PA).
    8. Adhikari, Raju & Bristow, Keith L. & Casey, Philip S. & Freischmidt, George & Hornbuckle, John W. & Adhikari, Benu, 2016. "Preformed and sprayable polymeric mulch film to improve agricultural water use efficiency," Agricultural Water Management, Elsevier, vol. 169(C), pages 1-13.
    9. Burer, Samuel & Piccialli, Veronica, 2019. "Three methods for robust grading," European Journal of Operational Research, Elsevier, vol. 272(1), pages 364-371.
    10. Dedi Liu & Xiaohong Chen & Teddy Nakato, 2012. "Resilience Assessment of Water Resources System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3743-3755, October.
    11. Feng, Di & Ning, Songrui & Sun, Xiaoan & Zhang, Jingmin & Zhu, Haiyan & Tang, Jingchun & Xu, Youxin, 2023. "Agricultural use of deserted saline land through an optimized drip irrigation system with mild salinized water," Agricultural Water Management, Elsevier, vol. 281(C).
    12. Zhang, Xinyu & Liu, Chu-An, 2023. "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, vol. 235(1), pages 280-301.
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