Geosyntec Consultants, Atlanta, GA, 30319, United States.
Department of Civil and Environmental Engineering, University of Ulsan, Daehak-ro 93, Nam-gu, Ulsan 680-749, South Korea.
Chemosphere. 2024 May;355:141758. doi: 10.1016/j.chemosphere.2024.141758. Epub 2024 Mar 20.
The unsaturated behavior of permeable reactive barriers (PRB) is a critical component in predicting the removal efficiency through the adsorption of contaminants. This study investigates the framework to estimate the soil water characteristic curve (SWCC) and hydraulic conductivity function (HCF) for iron oxide-coated sand (IOCS) and zeolite, which are common materials used in PRBs. A multistep outflow (MSO) experiment was performed and the results of the MSO experiment were used to optimize associated parameters in Kosugi's SWCC and HCF. In addition, three scenarios of optimization analysis were investigated to evaluate the best-fitting model for estimating SWCC and HCF. The low root mean square error (RMSE) of fitted parameters indicates the Kosugi model well described the observed suction profiles in MSO experiments. In addition, the lowest RMSE and coefficient of variation suggested the inclusion of the additional parameter β provided the best estimation of the three materials (clean sand, IOCS, and zeolite). The physically reasonable estimation of SWCC and HCF of the three materials from the optimized parameters suggests the proposed framework is a reasonable model for the unsaturated behavior of PRBs.
可渗透反应屏障 (PRB) 的不饱和行为是通过污染物吸附预测去除效率的关键组成部分。本研究探讨了一种估算氧化铁涂层砂 (IOCS) 和沸石的土壤水分特征曲线 (SWCC) 和水力传导函数 (HCF) 的框架,这两种材料常用于 PRB。进行了多步流出 (MSO) 实验,并使用 MSO 实验的结果来优化 Kosugi 的 SWCC 和 HCF 中的相关参数。此外,还研究了三种优化分析场景,以评估用于估算 SWCC 和 HCF 的最佳拟合模型。拟合参数的低均方根误差 (RMSE) 表明 Kosugi 模型很好地描述了 MSO 实验中的观测吸力分布。此外,最低的 RMSE 和变异系数表明,包含附加参数β可以对三种材料(清洁砂、IOCS 和沸石)进行最佳估计。从优化参数得出的三种材料的 SWCC 和 HCF 的合理物理估计表明,所提出的框架是 PRB 不饱和行为的合理模型。