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当前位置: 首页 > 文章 > 农田土壤入渗不确定性组成分析 节水灌溉 2019 (3) 18-21+26
Position: Home > Articles > Analysis of Uncertainty Composition of Soil Infiltration in Farmland Water Saving Irrigation 2019 (3) 18-21+26

农田土壤入渗不确定性组成分析

作  者：
范欣瑞;王仰仁;孙小平
单  位：
天津农学院水利工程学院;天津市节水灌溉技术与装备校企协同创新实验室;山西省水利水电科学研究院
关键词：
土壤入渗;不确定性因素;偏差系数;均方根误差
摘  要：
依据大田四个测点的测试数据,基于三种土壤入渗模型(Kostiakov-lewis、Philip和Horton模型),对土壤入渗过程进行模拟和分析。探究模型结构、入渗时间和空间变异等不确定性因素对入渗过程的影响,以模型模拟残差及均方根误差随时间的变化为指标,比较分析得出三种不确定性因素对农田入渗规律的影响程度。结果表明,三种模型的相关系数均达到0.99以上,平均相对误差1.60%～11.77%;其中Horton模型的拟合精度最高(平均R~2=0.998 3),模型参数偏差系数较小,稳定性强;时间不确定性围绕一个固定值随时间上下波动,空间和模型结构不确定性均随时间呈现线性增加趋势,其中时间、空间和模型结构不确定性的变化区间分别为0.021 8～16.228、5.674～107.532和0.004～5.504 mm。分析认为空间不确定性对土壤入渗过程产生的影响最大,时间不确定性影响次之,模型结构的不确定性影响最小。该研究可为畦田灌溉过程中土壤入渗规律的研究和分析提供重要依据。
译  名：
Analysis of Uncertainty Composition of Soil Infiltration in Farmland
作  者：
FAN Xin-rui;WANG Yang-ren;SUN Xiao-ping;Department of Hydraulic Engineering, Tianjin Agricultural University;University-enterprise Collaborative Innovation Laboratory of Water-saving Irrigation Technology and Equipment;Shanxi Institute of Water Resources and Hydropower Research;
单  位：
FAN Xin-rui%WANG Yang-ren%SUN Xiao-ping%Department of Hydraulic Engineering, Tianjin Agricultural University%University-enterprise Collaborative Innovation Laboratory of Water-saving Irrigation Technology and Equipment%Shanxi Institute of Water Resources and Hydropower Research
关键词：
soil infiltration;;uncertainty factor;;variation coefficient;;root-mean-square error
摘  要：
The soil infiltration process was simulated and analyzed based on the test data of four field measurement points and three soil infiltration models(kostiakov-lewis, Philip and Horton models).To explore the influence of uncertain factors such as model structure, infiltration time and spatial variation on the infiltration process, the residual error and root-mean-square error of the model simulation over time are taken as indicators to compare and analyze the influence degree of three uncertain factors on the infiltration law of farmland. The results show that the correlation coefficients of the three models are above 0.99, and the average relative error is between 1.60% and 11.77%. Among them, the fitting accuracy of Horton model is the highest(average R~2=0.998 3), the deviation coefficient of model parameters is small, and the stability is strong. Time uncertainty fluctuates up and down with time around a fixed value, and spatial and model structural uncertainty both show a linear increase trend with time, among which time, space and model structural uncertainty vary between 0.021 8～16.228, 5.674～107.532 and 0.004～5.504 mm, respectively. The analysis shows that spatial uncertainty has the greatest impact on soil infiltration, followed by temporal uncertainty, and the model structure has the least impact. This study can provide an important basis for the study and analysis of soil infiltration in border irrigation.

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