A river network model using a weight-based merged LSTM for multi-source monitoring integration

A river network model using a weight-based merged LSTM for multi-source monitoring integration

Rivers typically exhibit spatial connectivity from upstream to downstream, with various heterogeneous monitoring systems operating concurrently across basins. While graph neural networks (GNNs) have shown promise in modeling spatial connectivity, they remain limited by reliance on features common to...

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Bibliographic Details
Main Authors: Jonggyu Jung, Taeseung Park, Jaegwan Park, Dogeon Lee, YoonKyung Cha
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
River network
Weight-based merged LSTM
Spatial connectivity
Feature-flexibility
Water quality forecasting
Total organic carbon
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125003292
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http://www.sciencedirect.com/science/article/pii/S1574954125003292

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