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土壤传递函数法是水文模型应用中水动力学参数获取的比较有效的方法之一,对于水文模型预测精度的提高具有重要意义。本文以亚热带小流域稻田土为研究对象,采集原状土柱并分层测定其饱和导水率(K)s及理化性质,利用多元逐步回归法建立Ks的土壤传递函数(PTF)且进行对比验证。结果显示:Ks与容重和有机质关系最密切,选用包括容重、有机质、砂粒、黏粒含量以及颗粒组成的标准偏差(GSD)等土壤变量,构建了稻田Ks土壤传递函数模型,模型确定系数(R2)为0.67(n=50,P<0.001)。验证分析表明除了Aimrun模型外都较大地高估了Ks,本试验所建立的模型预测结果较好,GMER值较接近1。该模型对于南方稻田土壤水分与溶质运移以及面源污染风险预测模型参数的精确估测将发挥十分关键的作用。
Soil transfer function method is one of the most effective methods to obtain hydrodynamic parameters in hydrological model applications. It is of great significance to improve the prediction accuracy of hydrological models. In this paper, the paddy soil in the subtropical watershed was taken as the research object. The original soil column was collected and the saturated hydraulic conductivity (K) s and physicochemical properties were determined by stratification. The soil transfer function (KFs) of Ks was established by multivariate stepwise regression and compared . The results showed that Ks was the most closely related to bulk density and organic matter. Soil bulk density (Ks), including soil bulk density, organic matter, sand and clay content, and standard deviation of grain composition (GSD) were selected to establish Ks soil transfer function model. ) Was 0.67 (n = 50, P <0.001). The verification analysis shows that Ks is greatly overestimated except for the Aimrun model. The model established in this study has a better prediction result and the GMER value is closer to 1. The model will play an essential role in the accurate estimation of soil water and solute transport and prediction of non-point source pollution in southern paddy fields.