Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …

Soil moisture is an integral quantity in hydrology that represents the average conditions in a
finite volume of soil. In this paper, a novel regression technique called Support Vector …

Information on suspended sediment load is crucial to water management and environmental
protection. Suspended sediment loads for three major rivers (Mississippi, Missouri and Rio …

This paper presents a new approach using an Artificial Neural Network technique to improve
rainfall forecast performance. A real world case study was set up in Bangkok; 4 years of …

This paper traces two decades of neural network rainfall-runoff and streamflow modelling,
collectively termed 'river forecasting'. The field is now firmly established and the research …

This study investigated the effect of increasing population and changing climatic conditions
on the water resources of a semi-arid region, the Las Vegas Valley (LVV) in southern …

Soil water content (SWC) is a key factor in optimizing the usage of water resources in
agriculture since it provides information to make an accurate estimation of crop water …

Integrating human knowledge with modeling tools, an intelligent decision support system
(DSS) is developed to assist decision makers during different phases of flood management …

This paper proposes a hybrid intelligent model for runoff prediction. The proposed model is
a combination of data preprocessing methods, genetic algorithms and levenberg–marquardt …