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The evolution of digital twins in hydrology and environmental science: From physical models to AI-assisted autonomous systems
Digital twin (DT) technologies have emerged as a transformative framework in hydrology, enabling adaptive, real-time modeling of water systems through data-driven intelligence. This position article proposes a five-level technological evolution model for hydrological DTs, tracing the field’s progres
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