中国农业气象 ›› 2022, Vol. 43 ›› Issue (08): 612-621.doi: 10.3969/j.issn.1000-6362.2022.08.002

• 农业生物气象栏目 • 上一篇    下一篇

基于田间调查数据分析漳河灌区水稻灌溉水生产力分布异质性及其影响因素

郑静,佟玲,赵金淼,吴宣毅,李鹏   

  1. 1.中国农业大学中国农业水问题研究中心,北京 100083;2.湖北省漳河工程管理局,荆门 448156
  • 收稿日期:2021-10-20 出版日期:2022-08-20 发布日期:2022-08-16
  • 通讯作者: 佟玲,教授,主要研究方向为节水灌溉理论与新技术。 E-mail:tongling2001@cau.edu.cn
  • 作者简介:郑静,E-mail: 1950400886@qq.com
  • 基金资助:
    国家重点研发计划(2017YFC0403201)

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

摘要: 在漳河灌区农田尺度的基础上,基于农户调研结果和文献调研的大田数据,分析当地水稻灌溉水生产力及其影响因素的空间异质性,利用相关性分析和偏最小二乘回归分析进行灌溉水生产力关键影响因子的筛选。结果表明:(1)漳河灌区总、四干渠控制村组水稻产量最小,灌溉水生产力则表现为三干渠控制村组最大而总干渠控制村组最小;(2)灌溉水生产力与单位面积灌水量、生育期日平均太阳辐射和土壤粉砂粒含量呈现极显著负相关,与日平均气温和土壤黏粒含量呈现极显著正相关;(3)灌溉水生产力受单位面积灌水量、施氮量、生育期内日平均气温、日平均太阳辐射和土壤黏粒含量的影响较大。因此,管理措施和气象因素是改善漳河灌区水稻灌溉水生产力的关键因素。研究结果可以为改善当地水稻管理水平、提高灌溉水生产力提供数据支持。

关键词: 水稻, 灌溉水生产力, 分布异质性, 偏最小二乘回归分析, 贡献率

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