A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges

A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges

Abstract Seawater intrusion (SI) poses a substantial threat to water security in coastal regions, where numerical models play a pivotal role in supporting groundwater management and protection. However, the inherent heterogeneity of coastal aquifers introduces significant uncertainties into SI predi...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenglong Cao, Jiangjiang Zhang, Wei Gan, Tongchao Nan, Chunhui Lu
Format: Article
Language:English
Published: Wiley 2024-07-01
Series:Water Resources Research
Subjects:
seawater intrusion
aquifer characterization
data assimilation
deep learning
non‐Gaussian distribution
Online Access:https://doi.org/10.1029/2023WR036899
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1029/2023WR036899

Similar Items