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Lake water-level fluctuation forecasting using machine learning models: a systematic review
Lake water-level fluctuation is a complex and dynamic process, characterized by high stochasticity and nonlinearity, and difficult to model and...
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Quantifying the climate change impacts on the magnitude and timing of hydrological extremes in the Baro River Basin, Ethiopia
Extreme hydrological events, like floods and droughts, exert considerable effects on both human and natural systems. The frequency, intensity, and...
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Predicting Effects of Non-Point Source Pollution Emission Control Schemes Based on VMD-BiLSTM and MIKE21
Controlling non-point source (NPS) pollution is crucial for implementing water environment management, and simulating the water quality response to...
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Probabilistic streamflow forecast based on spatial post-processing of TIGGE precipitation forecasts
Ensemble precipitation forecast is effective in reducing the uncertainty and providing reliable probabilistic streamflow forecast. However, for...
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Hydrological Parameter Estimation for Water Balance Study Using SWAT Model
In recent years water demad has been increased due to a large population base, continued population growth and climate change uncertainties. To deal...
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Effects of land use and climate change on water scarcity in rivers of the Western Ghats of India
This paper assesses the long-term combined effects of land use (LU) and climate change on river hydrology and water scarcity of two rivers of the...
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A stochastic modelling approach to forecast real-time ice jam flood severity along the transborder (New Brunswick/Maine) Saint John River of North America
In the higher latitudes of the northern hemisphere, ice jam related flooding can result in millions of dollars of property damages, loss of human...
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A study of land use changes and its impacts on flood inundation in the Konkoure River Basin, Republic of Guinea
Due to rising land development, mitigating the negative effects of land use change is becoming a problem. Understanding how land development affects...
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Application of a Machine Learning Technique for Develo** Short-Term Flood and Drought Forecasting Models in Tropical Mountainous Catchments
Floods and droughts are among the most common natural hazards worldwide. They produce major impacts on society, economy, and ecosystems. Even worst,...
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Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm
Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its occurrences in the near future, there has been an increase in...
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Complex network analysis of groundwater level in Sina Basin, Maharashtra, India
Monitoring groundwater level provides sufficient information on groundwater quantity and quality and is vital in effective management of water...
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Assessing Fourier and Latin hypercube sampling methods as new multi-model methods for hydrological simulations
The selection of a hydrological model plays a crucial role in simulating different hydrological processes and the water balance of a watershed....
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Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts
Forecasting drought is essential for water resource management when policymakers encounter a water shortage and high demand. This research utilizes...
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Outflow sediment concentration forecasting by integrating machine learning approaches and time series analysis in reservoir desilting operation
During typhoons, outflow sediment concentration at dam outlets should be accurately forecast for increasing the efficiency of turbidity current...
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Daily runoff prediction based on the adaptive fourier decomposition method and multiscale temporal convolutional network
The non-linearity and non-stationarity of runoff series pose significant challenges to runoff forecasting, and conventional single forecasting models...
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River water quality shaped by land–river connectivity in a changing climate
River water quality is crucial to ecosystem health and water security, yet its deterioration under climate change is often overlooked in climate risk...
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A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks
Meteorological events constantly affect human life, especially the occurrence of excessive precipitation in a short time causes important events such...
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Analysis and Characterization of Hydrological Drought Under Future Climate Change Using the SWAT Model in Tana Sub-basin, Ethiopia
Climate variability leads to hydrological extremes (floods and droughts) in Ethiopia, regardless of their intensity, duration, and frequency of...
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Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review
Water resources are constantly threatened by pollution of potentially toxic elements (PTEs). In efforts to monitor and mitigate PTEs pollution in...
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Study of the effectiveness of wavelet genetic programming model for water quality analysis in the Uttar Pradesh region
Water constitutes an essential part of the earth as it helps in making the environment greener and support life. But water quality and availability...
