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Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
[HTML][HTML] Flood prediction with time series data mining: Systematic review
The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …
various actions, including earth surveying. For example, flood-prone areas must be …
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …
lake water. A commonly used method for assessing water quality is the Water Quality Index …
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …
RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN
Efficient methods are necessary for interpolation of precipitation data in geospatial systems.
In recent years, there has been an incremental need to complete rainfall data networks …
In recent years, there has been an incremental need to complete rainfall data networks …
Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis
The accurate and efficient monitoring, assessment, and prediction of water resources is
crucial for the sustenance of life and health of the environment. Traditional methods for …
crucial for the sustenance of life and health of the environment. Traditional methods for …
Enhancing flood risk mitigation by advanced data-driven approach
Flood events in the Sefidrud River basin have historically caused significant damage to
infrastructure, agriculture, and human settlements, highlighting the urgent need for improved …
infrastructure, agriculture, and human settlements, highlighting the urgent need for improved …
RETRACTED ARTICLE: Prediction of groundwater fluctuation based on hybrid ANFIS-GWO approach in arid Watershed, India
The knowledge about groundwater level (GWL) fluctuations is very significant in water
resources planning and management. In Loisingha and Saintala watersheds situated in …
resources planning and management. In Loisingha and Saintala watersheds situated in …
Multilayer perceptron and support vector machine trained with grey wolf optimiser for predicting floods in Barak river, India
Flood prediction is significant for decision makers to plan, design and manage water
resource systems for its contribution to decreasing life and economic losses. Most recent …
resource systems for its contribution to decreasing life and economic losses. Most recent …