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...

Flood inundation modelling generally involves two steps. The first involves the use of a hydrologic model, such as RORB, to estimate the design flood hydrograph for a given design storm event. These models require several inputs, such as design rainfalls (i.e. duration, intensity & temporal pattern), losses, baseflow and routing parameters; each of which has an associated degree of uncertainty ...

This paper implements a cyber-platform which visualizes and analyzes spatial patterns of flooding with a user-oriented spatial intelligence. The paper is organized from three perspectives: first, why representation and modeling of flooding data set is vital; second, how the design of flooding analysis involves spatial intelligence; third, why flooding analysis should be integrated into Cyber-in...

This paper presents a composite method for flood disaster risk assessment using a BP artificial neural network and information diffusion technique. Due to the fact that the traditional mathematical statistical model can hardly analyze flood risk issues when the sample size is small, information diffusion theory is suggested to extract as much useful information as possible from the sample and t...

The Red River of the North is vulnerable to floods, which have caused significant damage and economic loss inhabitants. A better capability in flood-event prediction essential decision-makers for planning flood-loss-reduction strategies. Over last decades, classical statistical methods Machine Learning (ML) algorithms greatly contributed growth data-driven forecasting systems that provide cost-...

Every year, flood disasters are responsible for widespread destruction and loss of human life. Remote sensing data are capable of providing valuable, synoptic coverage of flood events but are not always available because of satellite revisit limitations, obstructions from cloud cover or vegetation canopy, or expense. In addition, knowledge of road accessibility is imperative during all phases o...

In this paper, the problem of Bayesian estimation of flood quantiles is studied. Bayes estimators of the optimal dyke height under symmetric and asymmetric loss are investigated when the annual maximum sea water levels are exponentially distributed with unknown value of the mean. Three types of loss functions are considered: (i) linear loss, (ii) squared-error loss, and (iii) linex loss. In ord...