In this paper we present design and development of the semantic grid services for the flood forecasting simulations. We will highlight the corresponding architecture and the process of service annotation, discovery and composition in the project K-WfGrid [12]. We will describe in detail the challenges of the flood-forecasting application and corresponding design and development of the service o...

Flood forecasting in rivers and coastal waters demands careful attention both to the reliability of the forecasts and the safety of the decisions made on the basis of the results. Advances in data driven modelling have improved the accuracy of forecasts made using physically based models. The hybrid modelling approach combines the best features of physically based and data driven modelling, eit...

This article presents a comparison between two types of intelligent models: Artificial Neural Networks ANN and Adaptative Neuro-Fuzzy Interference System ANFIS, for forecasting flows in a section of Bogotá (Colombia) river, looking for the most efficient. The simulation was performed in the Matlab computer software, with data collected by hydrological stations of the Corporación Autónoma Region...

Flood is one of the most important natural disasters affect China greatly, especially for southeast cities. To help mitigate the loss brought by it, technologies such as simulation, visualization, decision support system, etc. could be utilized in the process of emergency management for city flood. Thus the Flood Simulation and Decision Support System (FSDSS) comes into being. It is an integrat...

An increase in the occurrence of sudden local flooding of great volume and short duration has caused significant danger and loss of life and property in Korea as well as many other parts of the World. Since such floods usually accompanied by rapid runoff and debris flow rise quite quickly with little or no advance warning to prevent flood damage, this study presents a new flash flood indexing m...

flooding, which is an overflow of water, brings massive biological and economic problems all around the world and disrupts many people’s lives. based on several effective factors in flood occurrence as well as unknown relationships between parameters, researchers have used various methods to forecast flood over the past decade. an investigation of the conducted studies on flood forecasting reve...

Abstract The hydrological conceptual distributed model, called TETIS, divides river basins into regular cells, all of which are connected according to the network drainage. The rainfall-runoff process is modelled using linked tanks with different outflow relationships. The vertical movement is based on soil properties. Routing along the channel network has been coupled using geomorphologic basi...

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...