The overall the aim of the ACTIF project is to produce guidance from a cluster of European Commission (EC) funded research projects commissioned under the Fifth Framework Programme. The guidance will reflect state-of-the-art information to improve the diversity of practices, institutional arrangements and management targets currently present in Europe. It should be noted that United Nations and...

Floods are among the most devastating natural hazards in society. Flood forecasting is crucially important in order to provide warnings in time to protect people and properties from such disasters. This research applied the high-resolution coupled hydrologic–hydraulic model from the University of California, Irvine, named HiResFlood-UCI, to simulate the historical 2008 Iowa flood. HiResFlood-UC...

This paper describes a workflow management system that was implemented according to the requirements of a Flood forecasting application [1] developed in the CrossGrid project [2]. The flood forecasting application contains several simulation models (meteorological, hydrological, hydraulic) implemented as the grid jobs. A need for a cascade execution of these models has been a motivation for cre...

Flood simulation and forecasting in various types of watersheds is a hot issue in hydrology. Conceptual hydrological models have been widely applied to flood forecasting for decades. With the development of economy, modern China faces with severe flood disasters in all types of watersheds include humid, semi-humid semi-arid and arid watersheds. However, conceptual model-based flood forecasting ...

Floods are a common natural hazard in Malaysia during the monsoon season. It affects millions of people each year that leads to severe deaths and infrastructure destruction. In recent time, flood warning system (FWS) has been notable topic but it not extensively implemented Malaysia. this study, we developed FWS can interface with connected vehicles order provide alerts drivers while also sendi...

The application of a flash-flood prediction chain, developed by CIMA, to some testcases for the Tanaro river basin in the framework of the EU project HYDROPTIMET is presented here. The components of the CIMA chain are: forecast rainfall depths, a stochastic downscaling procedure and a hydrological model. Different meteorological Limited Area Models (LAMs) provide the rainfall input to the hydro...

This paper assesses one of many potential enhancements to conventional flood forecasting that can be achieved through the use of soft computing technologies. A methodology is outlined in which the forecasting data set is split into subsets before training with a series of neural networks. These networks are then recombined via a rule-based fuzzy logic model that has been optimized using a genet...