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基于西北区甘肃省监测数据的土壤墒情综合诊断模型验证

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

  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 Gansu Province.

MI Chang-hong1, HUANG Zhi-ping1, LIU Shu-tian1,2, HOU Yan-lin1,2*, ZHENG Hong-yan1, DING Jian1, WANG Shuo-jin2, 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); 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: 本文应用甘肃省2个市区的13个墒情监测点的数据验证土壤墒情综合诊断模型在西北区半湿润和半干旱地区的适应性,建模使用2012—2014年的数据,模型验证使用2015年的数据。结果表明:模型在西北区甘肃省半湿润和半干旱地区具有较好的适应性,验证合格率分别为半湿润地区80%以上和半干旱地区90%以上;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。本研究表明,墒情综合诊断模型可以应用于西北半湿润和半干旱地区。

关键词: 群落动态, 生态指示, 土壤螨类, 生态修复

Abstract: Using the data of 13 soil moisture monitoring sites in 2 counties in Gansu Province to verify the adaptability of the integrated diagnostic model of soil moisture in the semi-arid and semihumid regions in Northwest China. The model was established by the data during the period of 2012-2014, and validated by the data of 2015. The results showed that the model had good adaptability in the semi-arid and semi-humid regions of Gansu Province, with a qualification rate of over 80% in the semi-humid regions and over 90% in the semi-arid regions. Different precipitation regions had different model parameters, and higher prediction accuracy of the model was found on less-precipitation monitoring sites. In conclusion, the integrated diagnostic model can be used in semi-arid and semi-humid regions in Northwest China.

Key words: community dynamic, ecological indication, ecological restoration., soil mite