Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects
Lake thermal dynamics have been considerably impacted by climate change, with potential
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …
A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion
Z Wang, Q Wang, Z Liu, T Wu - Journal of Hydrology, 2024 - Elsevier
Water bodies experiencing excessively low dissolved oxygen (DO) concentrations cannot
sustain aquatic life and disrupt ecosystem balance, whereas overly high concentrations …
sustain aquatic life and disrupt ecosystem balance, whereas overly high concentrations …
A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave
In 2018, Europe experienced one of the most severe heatwaves ever recorded. This
extreme event's impact on lake surface water temperature (LSWT) in Polish lakes has …
extreme event's impact on lake surface water temperature (LSWT) in Polish lakes has …
The impact of extreme heat on lake warming in China
W Wang, K Shi, X Wang, Y Zhang, B Qin… - nature …, 2024 - nature.com
Global lake ecosystems are subjected to an increased occurrence of heat extremes, yet their
impact on lake warming remains poorly understood. In this study, we employed a hybrid …
impact on lake warming remains poorly understood. In this study, we employed a hybrid …
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network
In recent years, the increasing influence of climate change on the water cycle has
emphasized the significance of analyzing and forecasting groundwater level (GWL) for …
emphasized the significance of analyzing and forecasting groundwater level (GWL) for …
[HTML][HTML] Long-term daily water temperatures unveil escalating water warming and intensifying heatwaves in the Odra river Basin, Central Europe
Water temperature is a critical indicator and weathervane of aquatic ecosystems. However,
the vast majority of rivers lack long-term continuous and complete water temperature …
the vast majority of rivers lack long-term continuous and complete water temperature …
River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT
Accurate prediction of water temperature (T w) will greatly help in improving our
understanding of the overall thermal regime fluctuation, and it can help in making sound …
understanding of the overall thermal regime fluctuation, and it can help in making sound …
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies
Evapotranspiration is a key parameter in hydrology, particularly in the field of water
resources management. Reference evapotranspiration (ETo) stands as a crucial metric …
resources management. Reference evapotranspiration (ETo) stands as a crucial metric …
[HTML][HTML] Thermal stratification and mixing of dam reservoirs in Iran
Although numerical water quality models offer valuable insights into thermal stratification
(TSn) and mixing dynamics in lakes, they are often resource and time consuming, limiting …
(TSn) and mixing dynamics in lakes, they are often resource and time consuming, limiting …
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers
The thermal dynamics within river ecosystems represent critical areas of study due to their
profound impact on overall aquatic health. With the rising prevalence of heatwaves in rivers …
profound impact on overall aquatic health. With the rising prevalence of heatwaves in rivers …