2024
DOI: 10.21203/rs.3.rs-4474379/v1
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Salinity prediction in Qiantang Estuary based on Improved LSTM model

Rong Zheng,
Zhilin Sun,
Jiange Jiao
et al.

Abstract: Investigating saltwater intrusion is vital for optimal use of estuarine water resources. Presently, diverse data-driven models, mainly neural network models, have been employed to predict tidal estuarine salinity. However, the high nonlinearity, randomness, and instability of salinity sequences pose challenges for accurate estuarine salinity forecasting. In this paper, a multi-factor salinity prediction model using an enhanced Long Short-Term Memory (LSTM) network was proposed, based on measured data from Cang… Show more

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