Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Dataset for "A reparameterization method based on Info-VAE-GAN for quantifying groundwater model structural uncertainty"
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 30.7 KB | |
| Created: | Apr 02, 2026 at 3:35 a.m. (UTC) | |
| Last updated: | Apr 02, 2026 at 5:02 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 58 |
| Downloads: | 5 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
The dataset for “A data-driven method coupling multiple physical constraints for correcting structural errors in groundwater contaminant transport models” contains groundwater head predictions generated using the Info-VAE-GAN reparameterization method and Bayesian Model Averaging (BMA). The data are derived from both a synthetic groundwater flow model and a groundwater flow model of the Dagu River Basin.
Subject Keywords
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Key Research and Development Program of China | None | 2024YFC3713001 |
| National Natural Science Foundation of China | None | 42477082 |
| National Natural Science Foundation of China | None | 42402236 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment