Delft FEWS is a proven real time software infrastructure for operational water management and forecasting, having been applied in several operational forecasting centres all over the world. The system has contributed to changing the paradigm of flood forecasting systems from a model centric approach to a data centric approach. The system is a time series oriented ETL-infrastructure (Extract, Tr...

an efficient flood alarm system may significantly improve public safety and mitigate damages caused by inundation. flood forecasting is undoubtedly a challenging field of operational hydrology and a huge literature has been developed over the years. in this paper, we first define ordered ideal intuitionistic fuzzy sets and establish some results on them. then, we define similarity measures betw...

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 ...

The focus of this paper is on a prototype information system called the Flood Warning Information System (FWIS) that has been developed for the purpose of communicating flood risks to the public. The system explores the use of a graphic and spatial interface for presenting and accessing flood warning messages. Graphics are being used to challenge traditional flood warning modes because they app...

A hydrological model for real time flood forecasting to Civil Protection services requires reliability and rapidity. At present, computational capabilities overcome the rapidity needs even when a fully distributed hydrological model is adopted for a large river catchment as the Upper Po river basin closed at Ponte Becca (nearly 40 000 km2). This approach allows simulating the whole domain and o...

An efficient flood alarm system may significantly improve public safety and mitigate damages caused by inundation. Flood forecasting is undoubtedly a challenging field of operational hydrology and a huge literature has been developed over the years. In this paper, we first define ordered ideal intuitionistic fuzzy sets and establish some results on them. Then, we define similarity measures betw...

This research presents an integrated system of computer software, networking and web-based display developed and deployed to allow drainage management authorities immediate access to results from the Weather Research and Forecasting (WRF) Hydrological Extension model, WRF-Hydro. Output data from the model are analyzed by a chain of GIS, database and web publishing tools to forge updated and rea...

Tri-yearly recurrence of flooding in Malaysia has made floods the most important significant natural disaster in the country in terms of cost and damage to property. Many hydrological and hydraulic flood models have been implemented but are yet to meet the requirement of a near real-time flood forecasting. This study envisage the “Nowcasting System” through the operational coupling of quantitat...

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...