Worldwide, climate change increases the frequency and intensity of heavy rainstorms. The increasing severity consequent floods has major socio-economic impacts, especially in urban environments. Urban flood modelling supports assessment these both current conditions for forecasted scenarios. Over past decade, model frameworks that allow real-time have been gaining widespread popularity. Flood4c...

In this paper, the application and development of a highly integrated GPS receiver that employs reflected GPS signals for ground object detection and flood flow is described. Both righthand circular polarization (RHCP) and left-hand circular polarization (LHCP) antennas are employed so that the direct and reflected signals can be simultaneously obtained. The objective of this study is to use th...

The aim of the project is the development of an Early Warning system for flood events based on precipitation analysis and related to historical flooded area detection.The recently change of Humanitarian International Agencies in the way of approaching the emergency preparedness has lead UN (United Nations) system to create a tightened collaboration with different research centers, where ITHACA ...

Forecasting river discharge is a very important issue for the prediction and monitoring of ground effects related to severe precipitation events. The meteorological forecast systems are unable to predict precipitation on small spatial (few km) and temporal (hourly) scales. For these reasons the issuing of reliable flood forecasts is not feasible in those regions where the basin’s response to ra...

For small drainage basins flood forecasting is particularly difficult and uncertain. By incorporating additional information that are captured and collected by volunteers with help of their smartphones (Volunteered Geographic Information, VGI), flood forecasting systems can be improved and forecast uncertainties can be minimized. This paper presents and discusses different concepts and methods ...

There is diversity in the use of global goodness-of-fit statistics to determine how well models forecast flood hydrographs. This paper compares the results from nine evaluation measures and two forecasting models. The evaluation measures comprise global goodness-of-fit measures as recommended by Legates and McCabe (1999) and Smith (2000) and more flood specific measures which gauge the ability ...

Accurate, precise and timely forecasts of flood wave arrival time, depth and velocity at each point of the floodplain are essential to reduce damage and save lives. Current computational capabilities support hydraulic models of increasing complexity over extended catchments. Yet a number of sources of uncertainty (e.g., input and boundary conditions, implementation data) may hinder the delivery...