墒情诊断模型的应用条件

发布时间：2018-07-28 19:34

【摘要】：对墒情诊断模型应用的下垫面条件进行了综合分析,这些条件包括气候区、监测点距气象站距离、土壤质地、监测时间、熟制、作物种类和模型参数。结果表明: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个独立诊断模型和综合模型具有普遍适应性;模型普遍适应性的外在原因是建模时只考虑3个独立的具有普遍性的变量(土壤含水量、时段降水量、2次土壤含水量测定的间隔天数),模型普遍适应性的内在原因是按监测点建模和确定参数;多年平均降水量是影响模型预测合格率的主要因素之一,其值越小模型预测合格率越高。6个独立诊断模型和综合模型的应用不受下垫面因素影响,模型通用变量为3个独立变量。
[Abstract]:The conditions of underlying surface used in soil moisture diagnosis model were analyzed synthetically. These conditions included climate area, distance from monitoring point to weather station, soil texture, monitoring time, cropping, crop type and model parameters. The results showed that six independent diagnostic models and comprehensive models, such as balance method, statistical method, subtractive statistical method, ratio statistical method, interval days statistical method and mobile statistical method, had universal adaptability. The external reason for the general adaptability of the model is that only three independent and universal variables (soil moisture content) are taken into account in modeling. The internal reason of the general adaptability of the model is to model and determine the parameters according to the monitoring points, and the annual average precipitation is one of the main factors that affect the qualified rate of model prediction. The application of six independent diagnostic models and synthetic models is not affected by underlying surface factors, and the general model variables are three independent variables.
【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) 广西科技开发项目(14125008-2-24) 天津市科技支撑计划(15ZCZDNC00700) 全国农业技术推广中心节水处项目(2016-hx-hyl-5)资助
【分类号】：S152.7

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