A Deep Learning-Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non-linearity and Non-Gaussianity Challenges
Chenglong Cao,
Jiangjiang Zhang,
Wei Gan
et al.
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 predictions, potentially diminishing their effectiveness in
management decisions. Data assimilation (DA) offers a solution by
integrating various types of observational data with the model to
characterize heterogeneous coastal aq… Show more
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