[HTML][HTML] A comprehensive review of AI-based methods used for forecasting ice jam floods occurrence, severity, timing, and location

A Salimi, T Ghobrial, H Bonakdari - Cold Regions Science and Technology, 2024 - Elsevier
River ice breakup can affect most rivers in cold climate during winter, posing a serious threat
of Ice-Jam Floods (IJFs) to riverine communities. IJFs are challenging to predict due to their …

Daily streamflow forecasting in mountainous catchment using XGBoost, LightGBM and CatBoost

R Szczepanek - Hydrology, 2022 - mdpi.com
Streamflow forecasting in mountainous catchments is and will continue to be one of the
important hydrological tasks. In recent years machine learning models are increasingly used …

Convolutional neural network and long short-term memory models for ice-jam predictions

F Madaeni, K Chokmani, R Lhissou, Y Gauthier… - The …, 2022 - tc.copernicus.org
In cold regions, ice jams frequently result in severe flooding due to a rapid rise in water
levels upstream of the jam. Sudden floods resulting from ice jams threaten human safety and …

Assessing the impact of climate change and reservoir operation on the thermal and ice regime of mountain rivers using the XGBoost model and wavelet analysis

M Fukś, M Kędra, Ł Wiejaczka - Stochastic Environmental Research and …, 2024 - Springer
This study presents an analysis of the influence of climatic conditions and the operation of a
dam reservoir on the occurrence of ice cover and water temperature in two rivers (natural …

Forecasting monthly river flows in Ukraine under different climatic conditions

R Graf, V Vyshnevskyi - Resources, 2022 - mdpi.com
River-flow forecasts are important for the management and planning of water resources and
their rational use. The present study, based on direct multistep-ahead forecasting with …

The prediction of mid-winter and spring breakups of ice cover on Canadian rivers using a hybrid ontology-based and machine learning model

M De Coste, Z Li, R Khedri - Environmental Modelling & Software, 2023 - Elsevier
Mid-winter breakups (MWBs) are an increasingly common event on Canadian rivers
resulting in the early breakup of river ice cover, with complex and numerous drivers. This …

Streamflow prediction in ungauged basins located within data-scarce areas using XGBoost: role of feature engineering and explainability

MH Alipour - International Journal of River Basin Management, 2023 - Taylor & Francis
Streamflow prediction in ungauged basins particularly within data-scarce areas is a
challenging and sensitive task. Traditionally, conceptual and physical models have been …

[HTML][HTML] Temporal variation in river ice phenology of the Heilongjiang River in response to climate change

R Xing, Z Chen, J Hao, W Liu, Q Ju, D Zhang… - Journal of Hydrology …, 2024 - Elsevier
Study region Upstream of the Heilongjiang River, located in Northeast Asia, is the
transboundary river between China and Russia. Study focus Using long-term hydrological …

Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data

L Chen, Z Wang, Z Jiang, X Lin - Stochastic Environmental Research and …, 2024 - Springer
Precise multi-step water level predictions are crucial for managing water resources and
mitigating the effects of extreme weather. This study introduces a novel approach by …

A hybrid ontology‐based semantic and machine learning model for the prediction of spring breakup

M De Coste, Z Li, R Khedri - Computer‐Aided Civil and …, 2024 - Wiley Online Library
River ice breakups carry the potential for high flows and flooding and are of great interest to
accurately predict. A challenge in forecasting these events is the management of the …