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Long-term daily salinity prediction in a tidal estuary using coupled machine learning and physically-based models
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DOI：10.1016/j.ejrh.2026.103838.png)
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Abstract
En 中文
• An integrated climate-hydrology-salinity framework is established. • A physically-constrained spatial uncertainty framework is developed. • Future runoff decreases significantly during summer and autumn. • Mid-estuary zones exhibit localized higher sensitivity to runoff alterations. • Extreme 2100 droughts extend the 0.5 psu frontier by 1.46 km under strict 95% CI.
Keywords:
Saltwater intrusion
Long-term salinity prediction
Machine learning
NAM model
Climate perturbation
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