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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 368
Proc. IAHS, 368, 331–336, 2015
https://doi.org/10.5194/piahs-368-331-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 368, 331–336, 2015
https://doi.org/10.5194/piahs-368-331-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  07 May 2015

07 May 2015

Forecast of irrigation water demand considering multiple factors

X. Wang, X. Lei, X. Guo, J. You, and H. Wang X. Wang et al.
  • China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

Keywords: Irrigation water demand, PCA, water saving coefficient, forecast

Abstract. Many factors influence irrigation water requirement on the basin scale, which make it difficult to obtain comprehensive data. Despite the advantage of less needing historical data, the prediction precision of traditional trend prediction methods is hard to guarantee. For water scarce basins, the artificial influence on irrigation requirement should be thought of as important impact factors. In this paper, the PCA (principal component analysis) method is used to identify the main influencing factors, such as precipitation, irrigation area, water saving technology and so on. Based on that, an irrigation water demand prediction model considering multiple factors is developed for water shortage regions. The method is applied in the Haihe River basin as an example. The study results show that the irrigation water demand forecasting method considering multiple factors in this paper can achieve higher modelling accuracy, compared with the traditional trend prediction method and the method that does not consider the human influence. In view of the small average relative error, 1.32%, it has good values for application.

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