Evaluating Machine Learning Techniques for Predicting Salinity

M Harper, I Liu, B Xue, R Vennell… - 2024 IEEE Congress on …, 2024 - ieeexplore.ieee.org
Oyster farms provide a sustainable and profitable export for New Zealand. Oyster farms are
sensitive to changes in salinity that can cause significant crop loss if they persist too long …

Estuary salinity prediction using a Support Vector Machine based approach: a case study of the Po di Goro estuary

L Saccotelli, G Verri, A De Lorenzis… - … on Metrology for the …, 2023 - ieeexplore.ieee.org
The salt-water intrusion in the river estuaries can damage freshwater ecosystems and
compromise the many anthropogenic activities which rely on the exploitation of the delta's …

[HTML][HTML] Enhancing interpretability of tree-based models for downstream salinity prediction: decomposing feature importance using the Shapley additive explanation …

G Zhao, K Ohsu, HK Saputra, T Okada, J Suzuki… - Results in …, 2024 - Elsevier
To improve the interpretability of estimation processes in machine learning, we applied the
Shapley additive explanation method to six tree-based models for predicting downstream …

Predicting sea surface salinity in a tidal estuary with machine learning

N Guillou, G Chapalain, S Petton - Oceanologia, 2023 - Elsevier
As an indicator of exchanges between watersheds, rivers and coastal seas, salinity may
provide valuable information about the exposure, ecological health and robustness of …

[HTML][HTML] Enhancing estuary salinity prediction: A Machine Learning and Deep Learning based approach

L Saccotelli, G Verri, A De Lorenzis, C Cherubini… - Applied Computing and …, 2024 - Elsevier
As critical transitional ecosystems, estuaries are facing the increasingly urgent threat of salt
wedge intrusion, which impacts their ecological balance as well as human-dependent …

Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds

D Le, W Huang, E Johnson - Neural Computing and Applications, 2019 - Springer
Estuarine organisms have varying tolerances and respond differently to salinity. Bottom-
dwelling species such as oysters tolerate some change in salinity, but salinity outside an …

[PDF][PDF] Applied Computing and Geosciences

L Saccotelli, G Verri, A De Lorenzis, C Cherubini… - iris.cnr.it
As critical transitional ecosystems, estuaries are facing the increasingly urgent threat of salt
wedge intrusion, which impacts their ecological balance as well as human-dependent …

Nakdong River Estuary Salinity Prediction Using Machine Learning Methods

H Lee, M Jo, S Chun, J Han - Smart Media Journal, 2022 - koreascience.kr
Promptly predicting changes in the salinity in rivers is an important task to predict the
damage to agriculture and ecosystems caused by salinity infiltration and to establish …

River water salinity prediction using hybrid machine learning models

AM Melesse, K Khosravi, JP Tiefenbacher, S Heddam… - Water, 2020 - mdpi.com
Electrical conductivity (EC), one of the most widely used indices for water quality
assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest …

[HTML][HTML] Salinity Prediction Based on Improved LSTM Model in the Qiantang Estuary, China

R Zheng, Z Sun, J Jiao, Q Ma, L Zhao - Journal of Marine Science and …, 2024 - mdpi.com
Accurate prediction of estuarine salinity can effectively mitigate the adverse effects of
saltwater intrusion and help ensure the safety of water resources in estuarine regions …