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Theory and method of soil moisture diagnosis.

HOU Yan-lin1,2*, LI Jing-ya1, MI Chang-hong1, HUANG Zhi-ping1, LIU Shu-tian1,2, ZHENG Hong-yan1, DING Jian1, WANG Shuo-jin2#br#   

  1. (1Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China; 2Key Laboratory of Environment Change and Resources Use in Beibu Gulf (Guangxi Teachers Education University), Ministry of Education/Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation (Guangxi Teachers Education University), Nanning 530001, China).
  • Online:2017-12-10 Published:2017-12-10

Abstract: This paper reviewed the theory and methods of soil moisture diagnosis, and introduced the status quo of soil moisture monitoring, diagnosis and prediction in China. Six independent models were emphatically presented, which included balance diagnostic model, statistical diagnostic model, subtractive statistical diagnostic model, ratio statistical diagnostic model, interval days statistical diagnostic model and movable statistical diagnostic model. Meanwhile, an integrated diagnosis-model by combined application of the six independent models was also introduced. Models were established by the data of 87 monitoring sites in 23 counties in 7 provinces during the period of 2012-2014, and were validated by the data of 2015. The results showed that all the models were simple and the parameters were easy to obtain. Integrated diagnostic model was superior to the 6 independent models. In conclusion, the 6 independent models and the integrated diagnostic model were suitable for the diagnosis and prediction of soil moisture based on precipitation.

Key words: wheat and faba bean intercropping, species interaction, growth pattern, P level.