Integration of DDPM and ILUES for Simultaneous Identification of Contaminant Source Parameters and Non‐Gaussian Channelized Hydraulic Conductivity Field

Abstract Identifying highly channelized hydraulic conductivity fields and contaminant source parameters remains a challenging task, primarily due to the non‐Gaussian nature and high dimensionality of the parameter space, as well as the computational burden caused by repeatedly running forward numeri...

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Bibliographic Details

Published in:	Water Resources Research
Main Authors:	Xun Zhang, Simin Jiang, Na Zheng, Xuemin Xia, Zhi Li, Ruicheng Zhang, Jiangjiang Zhang, Xinshu Wang
Format:	Article
Language:	English
Published:	Wiley 2024-09-01
Subjects:	groundwater modeling ensemble data assimilation parameter identification non‐Gaussian denoising diffusion probabilistic models surrogate model
Online Access:	https://doi.org/10.1029/2023WR036893