Chinese Journal of Agrometeorology ›› 2022, Vol. 43 ›› Issue (08): 612-621.doi: 10.3969/j.issn.1000-6362.2022.08.002

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Distribution Heterogeneity and Influencing Factors of Rice Irrigation Water Productivity Based on Field Investigation Data in Zhanghe Irrigation District

ZHENG Jing, TONG Ling, ZHAO Jin-miao, WU Xuan-yi, LI Peng   

  1. 1.Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; 2.Hubei Zhanghe Project Administration Bureau, Jingmen 448156
  • Received:2021-10-20 Online:2022-08-20 Published:2022-08-16

Abstract: Based on the farmland scale of Zhanghe irrigation district and the field data of farmers' survey results and literature survey, the spatial heterogeneity of local rice irrigation water productivity and its influencing factors were analyzed, and the key influencing factors of irrigation water productivity were screened by using correlation analysis and partial least squares regression analysis. The results showed that: (1) in Zhanghe irrigation district, the rice yield in the main canal and the fourth main canal control villages was the minimum value and the irrigation water productivity in the third main canal control villages was the maximum and that of the main canal control villages was the minimum. (2) Irrigation water productivity showed a very significant negative correlation with irrigation water consumption per unit area, daily average solar radiation and soil silt content, and a very significant positive correlation with daily average temperature and soil clay content. (3) Irrigation water productivity was greatly affected by irrigation water consumption per unit area, nitrogen application rate, daily average temperature during growth period, daily average solar radiation and soil clay content. Therefore, management measures and meteorological factors are the key factors to improve rice irrigation water productivity in Zhanghe irrigation district. The research results will help to provide data support for improving local rice management level and irrigation water productivity.

Key words: Rice, Irrigation water productivity, Distribution heterogeneity, Partial least squares regression analysis, Contribution rate