Evaluating parameter inversion efficiency in Heterogeneous Groundwater models using Karhunen-Loève expansion: a comparative study of genetic algorithm, ensemble smoother, and MCMC-Reference-Cited by-同舟云学术

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Evaluating parameter inversion efficiency in Heterogeneous Groundwater models using Karhunen-Loève expansion: a comparative study of genetic algorithm, ensemble smoother, and MCMC

Published:2024-06-10 Issue: Volume: Page:
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Wang Zitao,Yue Chao,Wang Jianping

Funder

Second Tibetan Plateau Scientific Expedition and Research Program

National Natural Science Foundation of China

Qinghai provincial science and technology innovation platform

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12145-024-01361-z.pdf

Reference56 articles.

1. Asher MJ, Croke BF, Jakeman AJ, Peeters LJ (2015) A review of surrogate models and their application to groundwater modeling. Water Resour Res 51:5957–5973

2. Bouhlel MA, Bartoli N, Otsmane A et al (2016a) An improved approach for estimating the hyperparameters of the kriging model for high-dimensional problems through the partial least squares method. Math Probl Eng 2016:1–11

3. Bouhlel MA, Bartoli N, Otsmane A, Morlier J (2016b) Improving kriging surrogates of high-dimensional design models by partial least squares dimension reduction. Struct Multidiscip Optim 53:935–952

4. Bouhlel MA, Hwang JT, Bartoli N et al (2019) A python surrogate modeling framework with derivatives. Adv Eng Softw: 102662. https://doi.org/10.1016/j.advengsoft.2019.03.005

5. Condon LE, Kollet S, Bierkens MF et al (2021) Global groundwater modeling and monitoring: opportunities and challenges. Water Resour Res 57:e2020WR029500

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