The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term …

R Tan, Y Hu, Z Wang - Environmental Modelling & Software, 2023 - Elsevier
An accurate prediction of lake water levels is of great significance to water resource
regulation, flood prevention and mitigation. However, water level fluctuations have been …

[HTML][HTML] Deep learning for multi-horizon water levelforecasting in KRS reservoir, India

A Dayal, S Bonthu, P Saripalle, R Mohan - Results in Engineering, 2024 - Elsevier
In recent times, the densely populated Bengaluru metropolis in India has faced challenges
related to water scarcity, particularly relying on the Krishna Raja Sagara (KRS) dam. The …

Sensitivity analysis of parameters affecting wetland water levels: A study of flood detention basin, Colombo, Sri Lanka

M Herath, T Jayathilaka, HM Azamathulla, V Mandala… - Sensors, 2023 - mdpi.com
Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification,
groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and …

Multivariate Hydrological Modeling Based on Long Short-Term Memory Networks for Water Level Forecasting

JB Renteria-Mena, D Plaza, E Giraldo - Information, 2024 - mdpi.com
In the Department of Chocó, flooding poses a recurrent and significant challenge due to
heavy rainfall and the dense network of rivers characterizing the region. However, the lack of …

[HTML][HTML] Spectral analysis of the flows in seepage affected threshold alluvial channels

PK Behera, M Agarwal, V Deshpande, B Kumar - Results in Engineering, 2024 - Elsevier
In order to comprehend potential changes in the hydrodynamics of flow under downward
seepage condition when water is extracted from a threshold alluvial channel, investigations …

Application of machine learning techniques in hydrometeorological event prediction

A Msigwa, AS Makinde - Modeling and Monitoring Extreme …, 2024 - igi-global.com
Hydrometeorological events, such as floods and droughts, pose significant challenges to
societies worldwide, causing loss of life and economic damage. Traditional methods of …

Effectiveness of integrating ensemble-based feature selection and novel gradient boosted trees in runoff prediction: A case study in vu gia thu bon river basin, vietnam

O Aiyelokun, QB Pham, O Aiyelokun, NTT Linh… - Pure and Applied …, 2024 - Springer
Traditional rainfall-runoff modeling techniques require large datasets and often an
exhaustive calibration process, which is challenging, especially in poorly-gauged basins …

[HTML][HTML] Design and implementation of a deep learning model and stochastic model for the forecasting of the monthly lake water level

WAH Al-Nuaami, LA Dawod, BMG Kibria… - Limnological …, 2024 - mdpi.com
Freshwater is becoming increasingly vulnerable to pollution due to both climate change and
an escalation in water consumption. The management of water resource systems relies …

Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA

R Bassah, G Corzo, B Bhattacharya, SM Haider… - Journal of …, 2025 - Elsevier
Forecasting water levels in complex ecosystems like wetlands can support effective water
resource management, ecological conservation, and understanding surface and …