This study reviewed the applicability of AI-based models to predict flood water level and evaluate damage in small rivers with short arrival times. The Namyangju-si (Jingwan Bridge) watershed, where most warnings have occurred, was selected as target study. Rainfall data from 2008 2020 were collected for watershed. A total 40 rainfall events identified when 1m or higher June September, correspo...

Flooding in the major river basins of the Central Europe is a recurrent event affecting many countries. Almost every year, it takes away lives and causes damage to infrastructure, agricultural and industrial production and severely affects socio-economic development. Recurring floods of the magnitude and frequency observed in this region is a significant impediment, which requires rapid develop...

This paper describes techniques used operationally by the National Weather Service (NWS) to prepare gridded multisensor (gauge, radar, and satellite) quantitative precipitation estimates (QPEs) for input into hydrologic forecast models and decisionmaking systems for river forecasting, flood and flash flood warning, and other hydrologic monitoring purposes. Advanced hydrologic prediction techniq...

Climatic variability, unplanned land use pattern and encroachment into the flood plain are affecting the hydrology of Bagmati river basin of Nepal. In this study, methodology to improve present flood management system with non-structural countermeasures has been elaborated. Study of hydrological condition, basin scale rainfall runoff modeling and inundation analysis is helpful to prepare commun...

Early flood warning systems protect both infrastructure and human life by issuing accurate flood warnings to public and private entities, enabling emergency personnel to employ strategic procedures. One such system, the RiceU/TMC Flood Alert System (FAS) has proved effective at predicting flood levels along Brays Bayou for 30 major storm events since 1997, including T.S. Allison in 2001. The cu...

Regional heavy rainfall is usually caused by the influence of extreme weather conditions. Instant heavy rainfall often results in the flooding of rivers and the neighboring low-lying areas, which is responsible for a large number of casualties and considerable property loss. The existing precipitation forecast systems mostly focus on the analysis and forecast of large-scale areas but do not pro...

The paper presents two simulation modules –Virtual Dike and Flood Simulator– developed for flood Early Warning Systems (EWS). The UrbanFlood EWS is a distributed system that (1) analyzes sensor data received in real-time from flood defenses (dikes, dams, etc.) and (2) simulates dike stability, breaching and flood propagation. Computational modules are invoked by workflow-based expert scenarios ...

We have introduced an early warning system for volatility regimes regarding Tehran Stock Exchange using Markov Switching GARCH approach. We have examined whether Tehran Stock Market has calmed down or more specifically, whether the surge in volatility during 2007-2010 global financial crises still affects stock return volatility in Iran.  Doing so, we have used a regime switching GARCH model.  ...