Noel Cressie and Christopher WikleHardcover: 624 pagesYear: 2011Publisher: John WileyISBN-13: 978-0471692744Here is the new reference book about spatial and spatio-temporal statistical modeling! No...

Statistics for Spatio-Temporal Data

Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks

Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty

Optimal replacement and reactivation in warm standby systems performing random duration missions

In terms of service provision, the electricity sector is the most important critical infrastructure sector, on the supply of which the vast majority of society and its basic vital functions depend. Extensive disruption of these supplies would have negative effects not only on basic human needs, but also on the economy and security of the state. For this reason, it is necessary to ensure permanent and comprehensive monitoring of the infrastructure elements resilience level, especially against threats with a multispectral impact on several areas of security. For this reason, the authors of the article developed the Converged Resilience Assessment (CRA) method, which enables advanced assessment of the electricity critical infrastructure elements resilience from the converged security point of view. Converged security in this case combines (converges) physical, cyber and operational security into a complementary unit. This reflects the integral determinants of resilience across related areas of security/safety. The CRA method focuses mainly on information and situation management, which integrates and correlates information (signals) from systems and sensors in order to obtain an overview of the situation and the subsequent effective management of its solution. The practical use of the proposed method is demonstrated on a selected element of the Czech Republic transmission system. The CRA method is currently embodied in a functional sample that has been piloted on several TSO elements. Further development of this method is seen mainly in fulfilling the logic of network infrastructure and reflection between elementary and intersectoral links in the context of synergistic and cascading effects in a broader context.

https://www.mdpi.com/1996-1073/14/6/1624/pdf

Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security

One of the most important obstacles in improving the resilience of critical infrastructures is the timely replacement of critical components. However, the shortage of spare parts often keeps practi...

Resilience improvement of a critical infrastructure via optimal replacement and reordering of critical components

The inland waterways in the United States (U.S.) are used to transport approximately 20% of America's coal, 22% of U.S. petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation system. In this study, data about natural extreme events affecting inland waterways are collected and used to predict possible occurrences of such events in the future using a spatio-temporal statistical model. We also investigate the waterways disruptions effect on interconnected transportation systems using a simulation tool built on a statistical model. The developed methods are centered on inland waterways but can be used broadly for other local, regional and national infrastructures. A case study based on the Mississippi River and the McClellan--Kerr Arkansas River Navigation System (MKARNS) is provided to illustrate the use of the simulation tool in interdependence modeling and decision making for the operation of a multimodal transportation network.

Hybrid simulation to support interdependence modeling of a multimodal transportation network

http://manuscript.elsevier.com/S030505482200096X/pdf/S030505482200096X.pdf

Basem A. Alkhaleel

Papers

Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty

Resilience improvement of a critical infrastructure via optimal replacement and reordering of critical components

Hybrid simulation to support interdependence modeling of a multimodal transportation network

Hybrid simulation to support interdependence modeling of a multimodal transportation network

Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks