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Estimability Analysis and Optimisation of Soil Hydraulic Parameters from Field Lysimeter Data

机译：基于野外测渗仪数据的土壤水力参数可估计性分析与优化

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摘要

Modelling the water-flow in the vadose zone requires accurate hydraulic parameters to be obtained at the relevant scale. Weighable lysimeters enable us to monitor hydraulic data at an intermediate scale between lab and field scales and they can be used to optimise these parameters. Parameter optimisation using inverse methods may be limited by the non-uniqueness of the solution. In this contribution, an estimability method has been used to assess the estimability of the van Genuchten-Mualem parameters, to evaluate the information content of the data collected from a bare field lysimeter and to optimise the estimable model parameters. Daily data were monitored from a 2 m3 lysimeter, filled with the soil of a former coking plant: pressure heads and water contents were measured at three depths (50, 100, 150 cm), cumulative boundary water fluxes. Water-flow was represented using the one-dimensional single-porosity model implemented in HYDRUS-1D code. The estimability of the 5 van Genuchten-Mualem hydraulic parameters and the information content of different data were evaluated by sequentially calculating a sensitivity coefficient matrix. Optimisation was achieved by the Levenberg-Marquardt algorithm. The estimability analysis revealed that estimability of the soil hydraulic parameters, based on the combination of daily pressure heads and water contents, was higher than those based on these data separately. In case of 2.4 being considered as a cut-off criterion for this study, all the parameters were considered estimable from daily data in the decreasing order: θ_s, n, K_s, α, θ_s. Hydraulic parameters were optimised in four scenarios: θ_s and n were estimated with reliability while α, K_s and θ_r were uncertain. However, the narrow variations in measured data restricted parameter optimisation.
机译：对渗流区内水流进行建模需要在相关比例下获得准确的水力参数。称重测渗仪使我们能够在实验室规模和现场规模之间的中间规模上监控水力数据，并且它们可用于优化这些参数。使用逆方法的参数优化可能会受到解决方案非唯一性的限制。在此贡献中，可估计性方法已用于评估van Genuchten-Mualem参数的可估计性，评估从裸场溶渗仪收集的数据的信息内容并优化可估计的模型参数。每天的数据是从2 m3的溶渗仪中监测的，该溶质仪充满了以前的炼焦厂的土壤：在三个深度（50、100、150 cm），累积边界水通量下测量了压头和水含量。使用以HYDRUS-1D代码实现的一维单孔隙率模型表示水流。通过依次计算灵敏度系数矩阵来评估5 van Genuchten-Mualem液压参数的可估计性和不同数据的信息含量。通过Levenberg-Marquardt算法实现了优化。可估算性分析表明，基于日压头和含水量的组合，土壤水力参数的可估算性高于分别基于这些数据的可估算性。如果将2.4作为本研究的临界标准，则认为所有参数都可以从日常数据中按降序估算：θ_s，n，K_s，α，θ_s。在以下四种情况下优化了水力参数：可靠地估计了θ_s和n，而不确定α，K_s和θ_r。但是，测量数据的狭窄变化限制了参数的优化。

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  • 来源
    《Transport in Porous Media》 |2013年第2期|485-504|共20页
  • 作者

    V. V. Ngo; M. A. Latifi; M.-O. Simonnot;

  • 作者单位

    Laboratoire Reactions et Genie des Procedes, Universite de Lorraine-CNRS, 1 Rue Grandville, BP 20451,54001 Nancy Cedex, France,Laboratoire d'Hydrologie et de Geochimie de Strasbourg, Universite de Strasbourg/EOST-CNRS, 1 Rue Blessig, 67084 Strasbourg Cedex, France;

    Laboratoire Reactions et Genie des Procedes, Universite de Lorraine-CNRS, 1 Rue Grandville, BP 20451,54001 Nancy Cedex, France;

    Laboratoire Reactions et Genie des Procedes, Universite de Lorraine-CNRS, 1 Rue Grandville, BP 20451,54001 Nancy Cedex, France;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Estimability analysis; HYDRUS-1D; Lysimeter; Parameter;

    机译：估计性分析;HYDRUS-1D;测渗仪;参数;

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