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CXTFIT/Excel-A modular adaptable code for parameter estimation, sensitivity analysis and uncertainty analysis for laboratory or field tracer experiments

机译:CXTFIT / Excel-A模块化自适应代码,用于实验室或现场示踪剂实验的参数估计,灵敏度分析和不确定性分析

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We implemented the widely used CXTFIT code in Excel to provide flexibility and added sensitivity and uncertainty analysis functions to improve transport parameter estimation and to facilitate model discrimination for multi-tracer experiments on structured soils. Analytical solutions for one-dimensional equilibrium and nonequilibrium convection dispersion equations were coded as VBA functions so that they could be used as ordinary math functions in Excel for forward predictions. Macros with user-friendly interfaces were developed for optimization, sensitivity analysis, uncertainty analysis, error propagation, response surface calculation, and Monte Carlo anarysis. As a result, any parameter with transformations (e.g., dimensionless, log-transformed, species-dependent reactions, etc.) could be estimated with uncertainty and sensitivity quantification for multiple tracer data at multiple locations and times. Prior information and observation errors could be incorporated into the weighted nonlinear least squares method with a penalty function. Users are able to change selected parameter values and view the results via embedded graphics, resulting in a flexible tool applicable to modeling transport processes and to teaching students about parameter estimation. The code was verified by comparing to a number of benchmarks with CXTFIT 2.0. It was applied to improve parameter estimation for four typical tracer experiment data sets in the literature using multi-model evaluation and comparison. Additional examples were included to illustrate the flexibilities and advantages of CXTFIT/Excel. The VBA macros were designed for general purpose and could be used for any parameter estimation/model calibration when the forward solution is implemented in Excel. A step-by-step tutorial, example Excel files and the code are provided as supplemental material.
机译:我们在Excel中实施了广泛使用的CXTFIT代码,以提供灵活性以及增加的灵敏度和不确定性分析功能,以改善运输参数估计并促进结构化土壤上多示踪剂实验的模型判别。将一维平衡和非平衡对流弥散方程的解析解编码为VBA函数,以便可以将其用作Excel中的普通数学函数进行正向预测。具有用户友好界面的宏被开发用于优化,灵敏度分析,不确定性分析,误差传播,响应面计算和蒙特卡洛分析。结果,可以用不确定性和灵敏度定量来估计在多个位置和时间的多个示踪剂数据的任何具有转化的参数(例如,无量纲,对数转化,依赖于物种的反应等)。可以将先验信息和观察误差合并到带有惩罚函数的加权非线性最小二乘法中。用户能够更改所选参数值并通过嵌入式图形查看结果,从而形成了一种灵活的工具,可用于对运输过程进行建模并向学生讲授参数估计。通过与CXTFIT 2.0的许多基准进行比较,对代码进行了验证。通过多模型评估和比较,将其用于改进文献中四个典型示踪剂实验数据集的参数估计。包括了其他示例,以说明CXTFIT / Excel的灵活性和优势。 VBA宏是为通用目的而设计的,当在Excel中实现前向解决方案时,可以将其用于任何参数估计/模型校准。提供了逐步教程,示例Excel文件和代码作为补充资料。

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