Morris method with improved sampling strategy and Sobol’ variance-based method, as validation tool on numerical model of Richard’s equation

Sunny Goh
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引用次数: 1

Abstract

Richard’s equation was approximated by finite-difference numerical scheme to model water infiltration profile in variably unsaturated soil. The published data of Philip’s semi-analytical solution was used to validate the simulated results from the numerical scheme. A discrepancy was found between the simulated and the published semi-analytical results. Morris method as a global sensitivity tool was used as an alternative to local sensitivity analysis to assess the results discrepancy. Morris method with different sampling strategies were tested, of which Manhattan distance method have resulted a better sensitivity measures and also a better scan of input space than Euclidean method. Moreover, Morris method at  and Manhattan distance sampling strategy, with only 2 extra simulation runs than local sensitivity analysis, was able to produce reliable sensitivity measures ( , ). The sensitivity analysis results were cross-validated by Sobol’ variance-based method with 150,000 simulation runs. The global sensitivity tool has identified three important parameters, of which spatial discretization size was the sole reason of the discrepancy observed. In addition, a high proportion of total output variance contributed by parameters  and  is suggesting a greater significant digits is required to reduce its input uncertainty range.
采用改进采样策略的Morris方法和基于Sobol方差的方法,作为Richard方程数值模型的验证工具
采用有限差分数值格式逼近Richard方程,模拟变非饱和土壤的入渗剖面。利用已发表的Philip半解析解数据对数值方案的模拟结果进行了验证。模拟结果与已发表的半分析结果存在差异。Morris方法作为全局敏感性工具,作为局部敏感性分析的替代方法来评估结果的差异。对不同采样策略下的Morris方法进行了测试,结果表明,曼哈顿距离法比欧几里得方法具有更好的灵敏度和对输入空间的扫描能力。此外,Morris方法和Manhattan距离采样策略仅比局部灵敏度分析多2次模拟运行,就能得到可靠的灵敏度测量值(,)。敏感性分析结果采用Sobol方差法交叉验证,模拟运行15万次。全局灵敏度工具确定了三个重要参数,其中空间离散化大小是观测到差异的唯一原因。此外,参数贡献的总输出方差所占的比例很高,这表明需要更大的有效数字来减少其输入不确定性范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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