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The verification of integrated diagnostic model of soil moisture based on the monitoring data in Shanxi Province.

ZHENG Hong-yan1, DING Jian1, WANG Shuo-jin2, HOU Yan-lin1,2*, MI Chang-hong1, HUANG Zhi-ping1, LIU Shu-tian1,2, HOU Xian-da2#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: The data of 16 soil moisture monitoring sites in two counties in Shanxi Province were applied to verify the adaptability of integrated diagnostic model of soil moisture in semi-humid regions in North China. The model was established by the data of 16 monitoring sites in 2 counties in Shanxi Province during the period of 2012-2014, and was validated by the data of 2015. The results showed that the model had good adaptability in semi-humid regions of Shanxi Province, with the qualification rates being over 90%. There was no obvious pattern between the qualification rate of model prediction and latitude and longitude, because the precipitation in the two monitoring counties was close. In conclusion, the integrated diagnostic model used a large amount of data, and the data range covered the whole crop growing season. It has relative advantages over other models and can be applied to semi-humid areas of North China

Key words: InVEST model, CA-Markov model, habitat quality, Logistic regression model, landscape pattern, driving force.