An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures

Abstract

Abstract-Natural disasters can have a devastating effect on critical infrastructures, especially in case of cascading effects among multiple infrastructures such as the electric power grid, the communication network, and the road network. While there exist detailed models for individual types of infrastructures such as electric power grids, these do not encompass the various interconnections and interdependencies to other networks. Cascading effects are hard to discover and often the root cause of problems remain unclear. In order to enable real-time situational awareness for operational risk management one needs to be aware of the broader context of events. In this paper, we present a unique visual analytics control room system that integrates the separate visualizations of the different network infrastructures with social media analysis and mobile in-situ analysis to help to monitor the critical infrastructures, detecting cascading effects, performing root cause analyses, and managing the crisis response. Both the social media analysis and the mobile in-situ analysis are important components for an effective understanding of the crisis and an efficient crisis response. Our system provides a mechanism for conjoining the available information of different infrastructures and social media as well as mobile in-situ analysis in order to provide unified views and analytical tools for monitoring, planning, and decision support. A realistic use case scenario based on real critical infrastructures as well as our qualitative study with crisis managers shows the potential of our approach.

Spatial Database Development for Oil Spills Pollution Affecting Water Quality System in Niger Delta

“…This situation is also being exacerbated by the facts that, the same infrastructure will be needed to serve as mitigation in cushioning the effect of the disaster. In essence, the pipe borne water, boreholes and hand-dug wells are important in averting and mitigating the upsurge of water borne diseases especially in a densely populated Niger Delta area (Kwasinski, 2014;Chang et al 2014;Mittelstadt et al 2015;Faturechi & Miller-Hooks 2015). Several researches attest to the fact that in many developed nations achievements has been made in establishing water resources infrastructure as an integral part of pollution control.…”

Modelling a critical infrastructure-driven spatial database for proactive disaster management: A developing country context

“… 2014 ; Comes & Van de Walles 2014 ; Faturechi & Miller-Hooks 2015 ; Kwasinski 2014 ; Mittelstadt et al . 2015 ).…”

An Intelligent Agent based Architecture for Visual Data Mining

“…CAST (Clustering And visualizing Spatio-Temporal data) [15] is a visualization tools that ensures www.ijacsa.thesai.org moving entity control in order to study and evaluate them.A SIMID called tool developed by [16] provides decision-maker spatio-temporal visualization of infection. Visual temporal tool for distant monitoring was introducedMittelstädt and his colleagues [17].Based on this brief literature investigation, weset a first objective. It consists of seeking to make dataminer and decision-maker able to visualize data mining patterns, draw conclusions in real-time and interact with data in the different data miningsteps.…”