Established in 1984, the Wharton Risk Management and Decision Processes Center develops and promotes effective corporate and public policies for low-probability events with potentially catastrophic consequences through the integration of risk assessment, and risk perception with risk management strategies. Natural disasters, technological hazards, and national and international security issues ...

Flood is a communication primitive that can be initiated by the base station of a sensor network to send a copy of some message to every sensor in the network. When a flood of some message is initiated, the message is forwarded by every sensor that receives the message until the sensors decide not to forward the message any more. This uncontroled flood can cause the forwarded messages to collid...

The rainfall input is one of the main factors influencing the magnitude of the runoff response during a flood event. Its temporal and spatial distribution significantly contributes to the formation of hydrograph shape, peak discharge and flood volume. a novel approach to the evaluation of the role of the temporal rainfall pattern of hydrograph is presented in this contribution. The methodology ...

This paper present recent achievements obtained within the context of the ANFAS project (Data fusion for flood simulation and decision support). The overal objective of ANFAS was to set up an integrated system for flood prevention and protection. Data fusion and models fusion techniques constitute the core of the scientific research work of the project. Data fusion refers to the use of multi-so...

We present a Virtual Dike simulation module developed as a part of a flood Early Warning System (EWS) for the UrbanFlood project. The UrbanFlood EWS is a distributed system that analyzes sensor data received in real-time from flood defenses (dikes, dams, etc.) and simulates dike stability, breaching and flood propagation. The aim of the Virtual Dike module is to develop an advanced multiscale m...

This paper provides a case study of a method to estimate the value of additional information, before its acquisition, to aid decision making in the face of uncertainty. The approach employs conditional simulation in a Monte Carlo framework to conduct a Bayesian assessment of the value of information in an explicitly spatial setting. This paper demonstrates the procedure as applied by a hypothet...

With the development of computer science, communications technology and environmental modeling, virtual geographic environments (VGEs) have been linked with field observations and geographic modeling. VGEs enable researchers in various fields to collaboratively perform computer-aided geographic experiments. This study proposes a collaborative environment to conduct a virtual flood experiment th...