Abstract The process of assessing the timing, amount, and period flood events based on observed features a river basin is known as forecasting. Floods cause lots damage to properties create risk human life. Flood forecasting critical for developing appropriate management strategies, reducing hazards, evacuating people from flood-prone areas. main objective this study apply artificial neural net...

The Barato River joins the Ishikari River near the river mouth. That river basin is sometimes in danger of flood because it is low, flat and tidal area around the tributaries influenced by the backwater of the Ishikari River. Therefore the gate is provided at the confluence of Ishikari River to avoid counter flow. Flood forecasting is necessary to determine the gate operation and disaster preve...

This paper presents the combination of different precipitation data sets and the distributed hydrological model, in order to examine the flood runoff reproductivity of scattered observation catchments. The precipitation data sets were obtained from observation using rain-gages, satellite based estimate (TRMM), and numerical weather prediction model (NWP), then were coupled with the super tank m...

Water levels and water extents are essential information in flood monitoring and forecasting. Two experimental and complementary ways were explored in order to estimate water level and water extent and forecast them: 1) The estimation of water level through combining water extents derived from earth observation data with elevation from a Digital Elevation Model; 2) The estimation of flood exten...

A flood is an overflow of water and becomes the common natural disaster. Prediction of a flood is one of the challenges for disaster management around the world especially in developing countries. Thus, more accurate flood prediction models have been investigated according to the geographical locations. In this paper, we have studied and compared some useful machine learning models such as KNN,...

A sample-data system discretization of the continuous Kalinin–Milyukov–Nash cascade is performed in a state-space analysis framework allowing for stream–aquifer interactions that include bank storage during flood events and groundwater discharge to the stream under low-flow conditions. These interactions generally result in faster attenuation of propagating flood waves and in elevated streamflo...

In order to minimize the catastrophic effects of floods, it is essential to have good forecasts of the flood dynamics. To carry out these forecasts, commercial computing tools use hydraulic models based on the Saint-Venant equations. Instead of these hydraulic models, this paper proposes the use of input-output adaptive predictive expert (APE) models with properly adjusted parameters. For the i...

In view of the abnormal phenomenon that a flood peak increased in August 2004 , July 2005 and August 2006 along the lower Yellow River, the experiments of this abnormal phenomenon is studied. It is found that the flood increase was due to the decrease the channel roughness in the propagation of high concentrated flood carrying the extra fine sediment which was discharged from xiaolangdi reservo...

Real-time correction models provide the possibility to reduce uncertainties in flood prediction. However, most traditional techniques cannot accurately capture many sources of uncertainty and provide a quantitative evaluation. To account for a wide variety of uncertainties in flood forecasts and overcome the limitations of stationary samples in a changing climate, a Bayesian theory based Self-a...