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Transport, biodegradation and isotopic fractionation of chlorinated ethenes: modeling and parameter estimation methods

机译:氯化乙烯的运输,生物降解和同位素分馏:建模和参数估计方法

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An analytical, one-dimensional, multi-species, reactive transport model for simulating the concentrations and isotopic signatures of tetrachloroethylene (PCE) and its daughter products was developed. The simulation model was coupled to a genetic algorithm (GA) combined with a gradient-based (GB) method to estimate the first order decay coefficients and enrichment factors. In testing with synthetic data, the hybrid GA-GB method reduced the computational requirements for parameter estimation by a factor as great as 300, The isotopic signature profiles were observed to be more sensitive than the concentration profiles to estimates of both the first order decay constants and enrichment factors. Including isotopic data for parameter estimation significantly increased the GA convergence rate and slightly improved the accuracy of estimation of first order decay constants.
机译:建立了一种用于分析四氯乙烯(PCE)及其子产物的浓度和同位素特征的分析性一维多物种反应性运输模型。该仿真模型与遗传算法(GA)结合基于梯度(GB)的方法相结合,以估算一阶衰减系数和富集因子。在合成数据测试中,混合GA-GB方法将参数估计的计算要求降低了300倍。观察到同位素特征图谱比浓度分布图对一阶衰减常数的估计都更敏感。和富集因素。包括同位素数据以进行参数估计可显着提高GA收敛速度,并略微提高一阶衰减常数的估计精度。

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