土壤墒情诊断理论和方法
发布时间：2019-02-27 09:36
【摘要】：本文对土壤墒情诊断理论和方法进行了简述,并介绍了国内墒情监测、诊断和预报现状。重点介绍了所建立的平衡法、统计法、差减统计法、比值统计法、间隔天数统计法、移动统计法6个独立的墒情诊断模型及其联合应用的综合诊断模型。应用2012—2014年7省23个县87个监测点的数据建模,并应用2015年的数据进行了验证。结果表明:所有模型构建简单,参数获得容易;综合模型优于6个独立模型。所建立的6个独立模型和综合模型适用于基于降水量的土壤墒情诊断和预测。
[Abstract]:This paper briefly introduces the theory and method of soil moisture diagnosis, and introduces the current situation of soil moisture monitoring, diagnosis and prediction in China. Six independent soil moisture diagnosis models and their combined diagnosis models are introduced in this paper, which are balance method, statistical method, subtractive method, ratio statistic method, interval statistics method and mobile statistics method. The data of 87 monitoring sites in 23 counties of 7 provinces from 2012 to 2014 were used to model the data, and the data from 2015 were used to verify the data. The results show that all the models are simple to construct and easy to obtain parameters, and the synthetic model is superior to the six independent models. The six independent models and comprehensive models are suitable for the diagnosis and prediction of soil moisture based on precipitation.
【作者单位】： 农业部环境保护科研监测所;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);
【基金】：“中国农业科学院科技创新工程”项目(2016-cxgc-hyl) 天津市科技支撑计划项目(15ZCZDNC00700) 全国农业技术推广中心节水处项目(2016-hx-hyl-5) 广西科技开发项目(14125008-2-24)资助
【分类号】：S152.7
，
本文编号：2431336
[Abstract]:This paper briefly introduces the theory and method of soil moisture diagnosis, and introduces the current situation of soil moisture monitoring, diagnosis and prediction in China. Six independent soil moisture diagnosis models and their combined diagnosis models are introduced in this paper, which are balance method, statistical method, subtractive method, ratio statistic method, interval statistics method and mobile statistics method. The data of 87 monitoring sites in 23 counties of 7 provinces from 2012 to 2014 were used to model the data, and the data from 2015 were used to verify the data. The results show that all the models are simple to construct and easy to obtain parameters, and the synthetic model is superior to the six independent models. The six independent models and comprehensive models are suitable for the diagnosis and prediction of soil moisture based on precipitation.
【作者单位】： 农业部环境保护科研监测所;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);
【基金】：“中国农业科学院科技创新工程”项目(2016-cxgc-hyl) 天津市科技支撑计划项目(15ZCZDNC00700) 全国农业技术推广中心节水处项目(2016-hx-hyl-5) 广西科技开发项目(14125008-2-24)资助
【分类号】：S152.7
，
本文编号：2431336
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