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The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
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 …
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 …
regulation, flood prevention and mitigation. However, water level fluctuations have been …
[HTML][HTML] Deep learning for multi-horizon water levelforecasting in KRS reservoir, India
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 …
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
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 …
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
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 …
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
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 …
seepage condition when water is extracted from a threshold alluvial channel, investigations …
Application of machine learning techniques in hydrometeorological event prediction
Hydrometeorological events, such as floods and droughts, pose significant challenges to
societies worldwide, causing loss of life and economic damage. Traditional methods of …
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
Traditional rainfall-runoff modeling techniques require large datasets and often an
exhaustive calibration process, which is challenging, especially in poorly-gauged basins …
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 …
an escalation in water consumption. The management of water resource systems relies …
Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA
Forecasting water levels in complex ecosystems like wetlands can support effective water
resource management, ecological conservation, and understanding surface and …
resource management, ecological conservation, and understanding surface and …