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Machine learning in establishing the stage–discharge rating curve of an irrigation canal

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Abstract

Establishing a stage–discharge rating curve in an irrigation canal might look outdated, but it is still an important issue of agricultural water management. Therefore, in this study, a method by using machine learning (neural network) to establish a stage–discharge rating curve is proposed. The machine learning trained by the observed gage height was used to estimate velocities in an irrigation canal. The estimated velocities were used to compute the discharge. Then, the observed gage height and estimated discharge are applied to establish a simple stage–discharge rating curve. The data collected in the Wan-Dan Canal are used to evaluate the proposed method. The results showed that machine learning could effectively simulate the velocity distribution in an irrigation canal from its bottom to the water surface, as well as the flow fields at ungagged sites. Therefore, using the velocity derived from machine learning, the discharge of an irrigation canal can be accurately determined. Meanwhile, an accurate and dependable stage–discharge rating curve can be established. Our proposed method is applicable to forecast the discharges of other irrigation canals to manage agricultural water effectively.

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Data Availability Statement

All data will be available on reasonable request.

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Funding

This study is based on work supported by the Pingtung Irrigation Association, Taiwan.

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Authors and Affiliations

  1. Department of Civil Engineering, National Taipei University of Technology, Taipei, Taiwan

    Yen-Chang Chen & Cheng-Hsuan Ho

  2. Department of Marine Leisure Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

    Han-Chung Yang

  3. Disaster Prevention Research Center, National Cheng Kung University, Tainan, Taiwan

    Shin-Ping Lee

Authors
  1. Yen-Chang Chen
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  2. Han-Chung Yang
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  3. Shin-Ping Lee
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  4. Cheng-Hsuan Ho
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Contributions

HCYang and YCChen wrote and edited the main manuscript text. All authors prepared figures and tables. All authors reviewed the manuscript.

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Correspondence to Han-Chung Yang.

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Chen, YC., Yang, HC., Lee, SP. et al. Machine learning in establishing the stage–discharge rating curve of an irrigation canal. Paddy Water Environ 21, 181–191 (2023). https://doi.org/10.1007/s10333-022-00920-8

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  • DOI: https://doi.org/10.1007/s10333-022-00920-8

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