Distributed simulation of city inundation by coupled surface and subsurface porous flow for urban flood decision support system

• Published in: arXiv.org
• Main Authors: Krzhizhanovskaya, V V, Melnikova, N B, Chirkin, A M, Ivanov, S V, Boukhanovsky, A V, Sloot, P M A
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 01.02.2013
• Subjects: Atmospheric models; Computer Science - Computational Engineering, Finance, and Science; Computer simulation; Decision support systems; Disaster management; Dynamic stability; Early warning systems; Embankment stability; Embankments; Emergency warning programs; Flood management; Floods; Levees; Mathematical models; Optimization; Resource management; Seiches; Simulation; Stability analysis; Workflow; Workflow management systems; Workflow software
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.1302.0317

We present a decision support system for flood early warning and disaster management. It includes the models for data-driven meteorological predictions, for simulation of atmospheric pressure, wind, long sea waves and seiches; a module for optimization of flood barrier gates operation; models for stability assessment of levees and embankments, for simulation of city inundation dynamics and citizens evacuation scenarios. The novelty of this paper is a coupled distributed simulation of surface and subsurface flows that can predict inundation of low-lying inland zones far from the submerged waterfront areas, as observed in St. Petersburg city during the floods. All the models are wrapped as software services in the CLAVIRE platform for urgent computing, which provides workflow management and resource orchestration.