Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6922051 | Computers & Geosciences | 2018 | 10 Pages |
Abstract
A proof of concept is presented on how to produce uncertainty-aware near real-time coastal flood inundation Web maps from water-level observations and predictions, which have been computed for tide gauge sites and made publicly accessible. The stochastic inundation simulation takes into account several sources of uncertainty, which have until now not been employed in either bathtub models or hydrodynamic models. The simulation is based on the Monte Carlo method. The feasibility of the proposed approach is demonstrated by an implementation using general-purpose computing on graphics processing units. The outcome of the research is that the current technologies enable the building of a novel system that connects to official data sources and that takes into account sources of uncertainty whose inclusion in the past has been avoided by being either weakly known or computationally too expensive.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Janne Kovanen, Juha Oksanen, Tapani Sarjakoski,