Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

RM Adnan, RR Mostafa, O Kisi, ZM Yaseen… - Knowledge-Based …, 2021 - Elsevier
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 …

[HTML][HTML] Flood prediction with time series data mining: Systematic review

DK Hakim, R Gernowo, AW Nirwansyah - Natural Hazards Research, 2024 - Elsevier
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 …

Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms

S Talukdar, S Ahmed, MW Naikoo, A Rahman… - Journal of Cleaner …, 2023 - Elsevier
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 …

A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India

D Ruidas, R Chakrabortty, ARMT Islam, A Saha… - Environmental earth …, 2022 - Springer
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 …

Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation

S Samantaray, A Sahoo - Groundwater for Sustainable Development, 2024 - Elsevier
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 …

RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN

A Sahoo, DK Ghose - Soft Computing, 2022 - Springer
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 …

Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis

MH Rahaman, H Sajjad, S Hussain, M Masroor… - Journal of …, 2024 - Elsevier
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 …

Enhancing flood risk mitigation by advanced data-driven approach

AS Chafjiri, M Gheibi, B Chahkandi, H Eghbalian… - Heliyon, 2024 - cell.com
Flood events in the Sefidrud River basin have historically caused significant damage to
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

S Samantaray, C Biswakalyani, DK Singh, A Sahoo… - Soft Computing, 2022 - Springer
The knowledge about groundwater level (GWL) fluctuations is very significant in water
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

A Sahoo, S Samantaray, DK Ghose - Journal of Earth System Science, 2022 - Springer
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 …