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Evaluation of Parameterization Techniques for Unsaturated Hydraulic Conductivity Functions for Municipal Solid Waste

机译:城市固体废物不饱和水力传导函数参数化技术的评价

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A study was conducted to evaluate methods for parameterizing constitutive functions describing the unsaturated hydraulic conductivity (K_θ) and water retention curve (WRC) for municipal solid waste (MSW). Water retention curves and K_θ were measured using a hanging column apparatus and the multistep outflow (MSO) method on MSW specimens compacted at three different dry densities. Parameters for constitutive functions describing the WRC and K_θ were determined via nonlinear regression on the WRC data, nonlinear regression on the WRC and K_θ data, and numerical inversion conditioning on the water content and transient outflow data. Nonlinear regression of the measured WRC and K_θ and numerical inversion reproduced the measured K_θ with the least error. Nonlinear regression on only the WRC data resulted in the least error between the predicted and measured WRC but the greatest errors between the predicted and measured K_θ. Flow simulations using parameters obtained with any of the three parameter-estimation methods typically resulted in errors in predicted flow corresponding to errors in the specimen water content ranging between 1 % and 5 %, with some simulations returning errors of as much as 10 %. Inclusion of transient flow data (through inversion) or K_θ data results in improved parameterization for constitutive functions for K_θ. However, reasonable reproduction of flow data from the MSO tests was achieved using parameters obtained from regression on only WRC data.
机译:进行了一项研究,以评估用于参数化本构函数的方法,这些函数描述了市政固体废物(MSW)的不饱和水力传导率(K_θ)和保水曲线(WRC)。使用悬挂柱仪器和多步流出(MSO)方法对在三种不同干燥密度下压实的MSW标本测量保水曲线和K_θ。通过对WRC数据进行非线性回归,对WRC和K_θ数据进行非线性回归以及对含水量和瞬态流出数据进行数值反演来确定描述WRC和K_θ的本构函数的参数。测得的WRC和K_θ的非线性回归以及数值反演以最小的误差再现了测得的K_θ。仅在WRC数据上的非线性回归导致预测的WRC和测得的WRC之间的误差最小,而预测的K_θ和测得的K_θ之间的误差最大。使用通过三种参数估算方法中的任何一种获得的参数进行的流量模拟通常会导致预测流量的误差,该误差对应于样本水含量误差在1%到5%之间,有些模拟返回的误差高达10%。包含瞬时流量数据(通过反演)或K_θ数据可改善K_θ本构函数的参数化。但是,仅通过对WRC数据进行回归获得的参数,可以实现MSO测试中流量数据的合理再现。

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