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 …
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 …
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 …
RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN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 …
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RETRACTED ARTICLE: Prediction of groundwater fluctuation based on hybrid ANFIS-GWO approach in arid Watershed, India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 …
[HTML][HTML] Bootstrap approach for quantifying the uncertainty in modeling of the water quality index using principal component analysis and artificial intelligence
C Chawishborwornworng, S Luanwuthi… - Journal of the Saudi …, 2024 - Elsevier
Collecting and analyzing data on surface water across extensive areas is a challenging,
time-consuming and expensive. Develo** predictive models that offer high accuracy …
time-consuming and expensive. Develo** predictive models that offer high accuracy …
Regional flood frequency analysis using the FCM-ANFIS algorithm: A case study in South-eastern Australia
Regional flood frequency analysis (RFFA) is widely used to estimate design floods in
ungauged catchments. Both linear and non-linear methods are adopted in RFFA. The …
ungauged catchments. Both linear and non-linear methods are adopted in RFFA. The …