Unsaturated Performance Comparison of Compacted Clay Landfill Liners
Unsaturated Performance Comparison of Compacted Clay Landfill Liners
复制标题
压实粘土垃圾填埋场衬垫的非饱和性能比较
DOI：
10.1061/40510(287)37
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
N. Yeşiller
中科院分区：
文献类型：
--
作者：
Carol J. Miller;S. Merayyan;N. Yeşiller
通过试验确定了填埋场衬垫所用的各种压实粘土的体积含水率和孔隙水吸力的变化规律。采用两种不同的拟合技术，考察了实验数据与现有参数模型的拟合情况。第一种技术涉及使用为美国环保局开发的保留曲线计算机程序(RETC)。第二种技术使用Microsoft Excel中包含的Solver子例程。由这两种技术得到的参数模型与实验数据具有很好的相关性。然而，个体的曲线拟合参数有显著差异。这些变化对压实粘土衬垫的非饱和行为的影响使用填埋场性能的水文评估(HELP)模型进行了评估。由RETC和Solver技术得到的曲线拟合参数被用作HELP程序的输入，用于模拟通过盖衬层的可变饱和流动。使用两种曲线拟合技术的输入预测的渗漏量或渗漏率没有显著差异。然而，助剂产量存在显著的土壤差异。对帮助输出的检查提供了关于覆盖衬层土壤的体积含水率变化的信息。这些信息可以用来预测孔隙水吸力的变化和干裂的敏感性。
Tests were conducted to determine the variation in volumetric water content and pore water suction for a variety of compacted clay soils used in the construction of landfill liners. The fit of the experimental data to an existing parametric model was investigated for two different fitting techniques. The first technique involves the use of the retention curve computer program (RETC) developed for the U.S. EPA. The second technique employs the Solver subroutine included in Microsoft Excel. The parametric models resulting from either technique correlated well to the experimental data. However, the individual curve fit parameters varied significantly. The effect of these variations on the unsaturated behavior of compacted clay liners was evaluated using the Hydrologic Evaluation of Landfill Performance (HELP) model. The curve fit parameters resulting from both the RETC and the Solver techniques were used as input to the HELP routine for simulation of variably saturated flow through a cover liner. There were no significant differences in the volume of leakage or rate of leakage predicted using the input from the two curve-fitting techniques. However, there was significant soil-dependent variation in the HELP output. Examination of the HELP output provides information regarding variation in the volumetric water content of the cover liner soil. This information can be used to predict pore water suction variations and susceptibility to desiccation cracking.