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首页> 外文期刊>International Agrophysics >Different scenarios for inverse estimation of soil hydraulic parameters from double-ring infiltrometer data using HYDRUS-2D/3D
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Different scenarios for inverse estimation of soil hydraulic parameters from double-ring infiltrometer data using HYDRUS-2D/3D

机译:使用HYDRUS-2D / 3D从双环渗透仪数据反推土壤水力参数的不同方案

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In this study, HYDRUS-2D/3D was used to simulate ponded infiltration through double-ring infiltrometers into a hypothetical loamy soil profile. Twelve scenarios of inverse modelling (divided into three groups) were considered for estimation of Mualem-van Genuchten hydraulic parameters. In the first group, simulation was carried out solely using cumulative infiltration data. In the second group, cumulative infiltration data plus water content at h = -330 cm (field capacity) were used as inputs. In the third group, cumulative infiltration data plus water contents at h = -330 cm (field capacity) and h = -15 000 cm (permanent wilting point) were used simultaneously as predictors. The results showed that numerical inverse modelling of the double-ring infiltrometer data provided a reliable alternative method for determining soil hydraulic parameters. The results also indicated that by reducing the number of hydraulic parameters involved in the optimization process, the simulation error is reduced. The best one in infiltration simulation which parameters a, n, and K-s were optimized using the infiltration data and field capacity as inputs. Including field capacity as additional data was important for better optimization/definition of soil hydraulic functions, but using field capacity and permanent wilting point simultaneously as additional data increased the simulation error.
机译:在这项研究中,HYDRUS-2D / 3D被用来模拟通过双环式渗透计向假想的壤质土壤剖面中的池塘入渗。考虑了十二种逆向建模方案(分为三组)来估计Mualem-van Genuchten液压参数。在第一组中,仅使用累积渗透数据进行模拟。在第二组中,将累积入渗数据加上h = -330 cm(田间持水量)处的水含量用作输入。在第三组中,同时使用h = -330 cm(田间持水量)和h = -15 000 cm(永久枯萎点)处的累积入渗数据加水含量作为预测指标。结果表明,双环渗透计数据的数值反演为确定土壤水力参数提供了可靠的替代方法。结果还表明,通过减少优化过程中涉及的液压参数数量,可以减少模拟误差。使用渗透数据和场容量作为输入来优化参数a,n和K-s的最佳渗透模拟。包括田间容量作为附加数据对于更好地优化/定义土壤水力功能很重要,但是同时使用田间容量和永久枯萎点会增加附加数据,从而增加模拟误差。

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