土壤中污染物分散性随时间变化的实验与数学研究

F. Taran, A. Sadraddini, A. Nazemi
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引用次数: 3

摘要

室内和现场实验表明,分散性是污染物在多孔介质中运移的关键参数之一,并且随着时间的推移而变化。这种时间依赖性可以用时变色散函数来表示。与恒定色散相比,该函数的优点是它至少有两个系数,可以提高色散预测的准确性。在本研究中,获得了自来水饱和的实验室多孔介质中保守NaCl溶质输运的纵向色散值。结果表明:纵向色散随时间逐渐增大(前渐近阶段),最终趋于恒定值(渐近阶段);采用线性函数、幂函数、指数函数和对数函数来研究色散的时间变化。总的来说,由于色散在较长时间的运输过程中呈线性增加,R2=0.97的线性函数表现出较好的时间变异性;具有渐近性质的对数函数成功地预测了渐近阶段(R2=0.95)。在输运过程中,纵向色散与介质长度之比不是恒定的,随时间的推移在0.01 ~ 0.05 cm之间变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental and Mathematical Investigation of Time-Dependence of Contaminant Dispersivity in Soil
Laboratory and field experiments have shown that dispersivity is one of the key parameters in contaminant transport in porous media and varies with elapsed time. This time-dependence can be shown using a time-variable dispersivity function. The advantage of this function as opposed to constant dispersivity is that it has at least two coefficients that increase the accuracy of the dispersivity prediction. In this study, longitudinal dispersivity values were obtained for the conservative NaCl solute transport in a laboratory porous medium saturated with tap water. The results showed that the longitudinal dispersivity initially increased with time (pre-asymptotic stage) and eventually reached a constant value (asymptotic stage). Four functions were used to investigate the time variations of dispersivity: linear, power, exponential and logarithmic. In general, because of the linear increase of dispersivity during a long time of transport, the linear function with R2=0.97 showed better time variations than the other three functions; the logarithmic function, having an asymptotic nature, predicted the asymptotic stage successfully (R2=0.95). The ratio of the longitudinal dispersivity to the medium length was not constant during the transport process and varied from 0.01 to 0.05 cm with elapsed time.
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