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基于华北区河北省监测数据的土壤墒情综合诊断模型验证

刘书田1,2,郑宏艳1,侯显达2,侯彦林1,2*,丁健1,米长虹1,黄治平1,王铄今2#br#   

  1. 1农业部环境保护科研监测所,天津 300191;2北部湾环境演变与资源利用教育部重点实验室 (广西师范学院), 广西地表过程与智能模拟重点实验室 (广西师范学院),南宁 530001)
  • 出版日期:2017-12-10 发布日期:2017-12-10

Verification of integrated diagnostic model of soil moisture based on the monitoring data in Hebei Province.

LIU Shu-tian1,2, ZHENG Hong-yan1, HOU Xian-da2, HOU Yan-lin1,2*, DING Jian1, MI Chang-hong1, HUANG Zhi-ping1, 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), 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

摘要: 本文应用河北省3个市县的14个墒情监测点的数据验证土壤墒情综合诊断模型在华北半湿润地区的适应性,建模使用2011—2014年的数据,模型验证使用2015年的数据。结果表明:模型在河北省半湿润地区具有较好的适应性,验证合格率为76.92%~100%;不同降水量区域模型参数不同;降水越少的地区模型预测合格率越高;唐山市滦南县和唐山市乐亭县属于沿海地区,降水分布与另外2个内陆县不同,因此合格率偏低;墒情综合诊断模型可以应用于华北半湿润地区。

关键词: 单宁含量, 结实大小年, 种子扩散, 分散贮藏, 种子大小

Abstract: The data of 14 soil moisture monitoring sites in four counties of Hebei Province were used to verify the adaptability of soil moisture integrated diagnostic model in semi-humid regions in North China. Models were established by the data of the 14 monitoring sites during 2011-2014, and validated by the data of 2015. The results showed that the models had good adaptability in semi-humid regions of Hebei Province, with the qualified rates of verification being 76.92%-100%. The model parameters for different regions with different precipitations were different. The models for the regions with less precipitation had higher qualified rates of prediction. Belonging to the coastal areas, Luannan and Laoting counties of Tangshan City had temporal precipitation distributions different from the other two inland counties and thus lower qualified rates. Integrated diagnostic model can be used in semi-humid areas of North China.

Key words: seed size, mast seeding, scatter hoarding, seed dispersal., tannin content