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

TL;DR

This paper introduces a comprehensive decision support system for urban flood management that integrates coupled surface and subsurface flow simulations, meteorological predictions, and evacuation planning within a distributed computing platform.

Contribution

It presents a novel coupled distributed simulation model for city inundation that predicts inland flooding far from waterfronts, integrated into an urgent computing platform.

Findings

Predicts inundation of inland zones during floods.

Integrates multiple flood-related models into a unified system.

Demonstrates effectiveness in St. Petersburg flood scenarios.

Abstract

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.