In the past, mobile communication devices (such as cell phones) have not been utilized in flood forecasting and warning due to limitations in technology that have limited the ability of forecasters to gather and interpret geographical data in near real-time. This paper presents a prototype that integrates a GIS (geographic information system) with a hydrological model. It is a mobile mapping ap...

Mechanism of flood forecasting is a complex system, which involves precipitation, drainage characterizes, land use/cover types, ground water and runoff discharge. The application of flood forecasting model require the efficient management of large spatial and temporal datasets, which involves data acquisition, storage, pre-processing and manipulation, analysis and display of model results. The ...

[1] Ensemble streamflow forecasts obtained by using hydrological models with ensemble weather products are becoming more frequent in operational flow forecasting. The uncertainty of the ensemble forecast needs to be assessed for these products to become useful in forecasting operations. A comprehensive framework for Bayesian revision has been recently developed and applied to operational flood ...

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract This paper presents the development of the European Flood Alert System (EFAS), which aims at increasing preparedness for floods in trans-national European river basins by providing local water authorities with medium-range and probabilisti...

A methodology for propagating and constraining the uncertainty inherent in real-time flood forecasting is presented and demonstrated on an application to the River Severn, UK. The flood forecasting system is based on a cascade of rainfall-runoff and flood routing models, developed using stochastic transfer functions with state dependent parameterisations to allow for nonlinearity. The nonlinear...

AVS in collaboration with Linkoping University are developing a Visual User Interface and Web-enabled advanced 3D visualization to a flood forecasting system in an EC funded project named MUSIC. The project develops state-ofthe-art precipitation estimation algorithms, assess their uncertainty and use an innovative combination of the output data of the three independent data sources radar, satel...

This paper reviews non-probabilistic approaches of modelling uncertainty, particularly in flood forecasting and introduces a fuzzy set theory-based method for treating precipitation uncertainty in rainfall-runoff modelling, which allows the temporal and/or spatial disaggregation of precipitation. The results of the fuzzy set theory-based method are compared with the probabilistic approach using...

For operational flood forecasting and operational decision-makers, ready access to current and forecasted meteorological conditions is essential for initiating flood response measures and issuing flood warnings. Effective flood forecasting systems must provide reliable, accurate and timely forecasts for a range of catchments; from small rapidly responding urban areas, to large, more slowly resp...

A flood warning system is a non-structural measure for flood mitigation. Several parameters are responsible for flood related disasters. This work  illustrates an ordered intuitionistic fuzzy analysis that has the capability to simulate the unknown relations between a set of meteorological and hydrological parameters. In this paper, we first define ordered intuitionistic fuzzy soft sets and est...