Assessment of parametric uncertainty for groundwater reactive transport modeling
By Xiaoqing Shi, Ming Ye, Gary P. Curtis, G. Miller, P. Meyer, M. Kohler, S. Yabusaki, Jichun Wu. 2014
63 citations recorded by the source corpus.
Subfields: Environmental Engineering, Ocean Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7a0a5c52998bb3d890b5f54761d6cb5b14c4c091
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In Environmental Engineering
In Ocean Engineering
In Statistics and Probability
Citations in the corpus
- Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation (2015, background): “In addition, when the model outputs or functions of the outputs is highly non-smooth (Shi et al., 2014 showed a highly non-smoothed likelihood function for a groundwater reactive transport model), the sparse grid methods may not perform well until a large number of sparse grid points are used…”