An ensemble CNN-LSTM and GRU adaptive weighting model based improved sparrow search algorithm for predicting runoff using historical meteorological and …

Z Yao, Z Wang, D Wang, J Wu, L Chen - Journal of Hydrology, 2023 - Elsevier
Accurate prediction of river runoff is of great significance for water resources management,
flood prevention and mitigation. The causes of runoff are complex and the mechanisms …

Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks

F Granata, F Di Nunno - Agricultural Water Management, 2021 - Elsevier
Accurate ahead evapotranspiration forecasting is crucial for irrigation planning, for wetlands,
agricultural and forest habitats preservation, and for water resource management. Deep …

Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm

F Di Nunno, G de Marinis, F Granata - Scientific Reports, 2023 - nature.com
In recent years, the growing impact of climate change on surface water bodies has made the
analysis and forecasting of streamflow rates essential for proper planning and management …

Hydraulic efficiency of green-blue flood control scenarios for vegetated rivers: 1D and 2D unsteady simulations

GFC Lama, M Rillo Migliorini Giovannini, A Errico… - Water, 2021 - mdpi.com
Flood hazard mitigation in urban areas crossed by vegetated flows can be achieved through
two distinct approaches, based on structural and eco-friendly solutions, referred to as grey …

River flow rate prediction in the Des Moines watershed (Iowa, USA): A machine learning approach

A Elbeltagi, F Di Nunno, NL Kushwaha… - … Research and Risk …, 2022 - Springer
Prediction of flow rate in rivers is essential for the planning and management of water
resources. This study shows that, based on a Machine Learning approach, accurate models …

[HTML][HTML] Daily streamflow forecasting based on the hybrid particle swarm optimization and long short-term memory model in the Orontes Basin

HC Kilinc - Water, 2022 - mdpi.com
Water, a renewable but limited resource, is vital for all living creatures. Increasing demand
makes the sustainability of water resources crucial. River flow management, one of the key …

[HTML][HTML] Towards improved drought prediction in the Mediterranean region–modeling approaches and future directions

B Zellou, N El Moçayd… - Natural Hazards and Earth …, 2023 - nhess.copernicus.org
There is a scientific consensus that the Mediterranean region (MedR) is warming and as the
temperature continues to rise, droughts and heat waves are becoming more frequent …

[HTML][HTML] Vulnerability of the rip current phenomenon in marine environments using machine learning models

M Najafzadeh, S Basirian, Z Li - Results in Engineering, 2024 - Elsevier
Hidden and perilous rip currents are one of the primary factors leading to drownings of
beach swimmers. By identifying the coastal areas with the highest likelihood of generating …

Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks

DN Fabio, SI Abba, BQ Pham… - Arabian Journal of …, 2022 - Springer
Groundwater resources (GWR) are vital to agricultural crop production, everyday life, and
economic development. As a result, accurate groundwater level (GWL) prediction would aid …

Precipitation forecasting in Northern Bangladesh using a hybrid machine learning model

F Di Nunno, F Granata, QB Pham, G de Marinis - Sustainability, 2022 - mdpi.com
Precipitation forecasting is essential for the assessment of several hydrological processes.
This study shows that based on a machine learning approach, reliable models for …