Unlock Valuable Insights.
Discover a curated collection of valuable tools, guides, and materials which aim to help you dive deeper into our project and initiative. Whether you’re seeking knowledge, inspiration, or actionable insights, this is your go-to hub for all things related to our work.
#Deliverables
D4.3 Adaptation to enhance network-level resilience (CI)
D4.3 MIRACADownload
Check resource
#Deliverables
D4.2 Review of asset-level adaptation options for Critical Infrastructure (CI)
D4.2 MIRACADownload
Check resource
#Deliverables
D3.2 Pan-European multi-hazard risk assessment for CI assets
D3.2 MIRACADownload
Check resource
#Deliverables
D2.3 Mapping lifeline networks to locations of supply and demand
D2.3 MIRACADownload
Check resource
#Deliverables
D2.2 Building system-of-systems methodologies for interdependent network creation
D2.2 MIRACADownload
Check resource
#Published papers
Critical Infrastructure failure escalates the macroeconomic impacts of disasters
This study addresses the vulnerability of critical infrastructures (CIs) like power systems to disasters, emphasizing their economic impacts through a spatially explicit framework. Using Zuid-Holland as a case study, it quantifies how flood-induced power outages can reduce manufacturing output by 50%, highlighting the need for integrating systemic economic consequences in adaptation planning.
Check resource
#Published papers
A Synthetic European Weather Dataset Based on Spatiotemporal Vine Copulas
A stochastic weather generator, MYRIAD-SIM, captures and simulates realistic weather patterns for temperature, precipitation, and wind speed. By employing conditional vine copulas, it maintains statistical similarities to ERA5-Land data while allowing exploration of varied scenarios, aiding research in fields like agriculture and energy, particularly in compound climate events.
Check resource
#Published papers
Compound climate risks to European ports
The study develops a compound risk assessment for ports facing simultaneous climate hazards like windstorms and floods. It highlights the significant impact of these compound effects on infrastructure, leading to an additional €360 million in damages and €10 million in service losses annually, emphasizing the need to evaluate risks at a continental scale.
Check resource
#Published papers
Stress-testing road network resilience using counterfactual flood events (1953–2024) in Great Britain.
Road infrastructure is increasingly threatened by flooding, necessitating integrated risk assessments for vulnerability and recovery. A new modeling framework was developed to evaluate Great Britain's road networks against historical flood events. Findings indicate that indirect damages from disruptions can exceed direct losses, highlighting critical infrastructure and management strategies for mitigation.
Check resource
#Published papers
A multi-level framework for climate adaptation of critical infrastructure: flood risk in railway networks.
Infrastructure systems face increased flooding risks due to climate change, necessitating effective adaptation strategies. This paper proposes a four-level framework for evaluating adaptation options in railway systems, highlighting that no single solution is universally effective. Economic efficiency varies by location, emphasizing the need for tailored, multi-level approaches to reducing flood-related losses.
Check resource
#Published papers
Multi-Hazard Risk Assessment of Critical Infrastructure Using Pan-European Open Datasets: A Unified Framework Applied to Schools Under Flood, Earthquake, and Landslide Hazards
Recent evidence indicates that multi-hazard events are increasing in Europe, necessitating integrated risk assessments. This study proposes a scalable framework for assessing multiple hazards like floods and earthquakes at regional scales, specifically for schools in Central Macedonia, Greece. It aims to enhance resilience and align with global sustainability goals.
Check resource
#Published papers
Stress-Testing Road Network in Great Britain with Historical Flood Events between 1953-2024
Road infrastructure faces growing flooding risks, leading to asset damage and traffic disruptions. A new modelling framework was developed to assess these impacts in Great Britain, analyzing 17 historical flood events. Findings show significant differences between direct and indirect losses, highlighting critical vulnerabilities in major roads and suburban bridges.
Check resource
#Published papers
Towards an open pipeline for the detection of critical infrastructure from satellite imagery—a case study on electrical substations in The Netherlands
This study addresses the vulnerability of critical infrastructure (CI) to climate change by developing a neural network model for detection using optical remote sensing imagery. A pipeline was created for extracting CI data, tested on electrical substations in the Netherlands, achieving promising results and suggesting improvements for future applications in disaster risk research.
Check resource
#Published papers
Risk of Tropical Cyclones and Floods to Power Grids in Southeast and East Asia
This article investigates the risk of tropical cyclone-induced winds and coastal floods on power grids in Southeast and East Asia. Combining infrastructure data with hazard maps, it estimates annual damages to be 0.07% of GDP. The study stresses enhancing infrastructure resilience and improving risk assessment for better power grid planning.
Check resource
#Published papers
Data for critical infrastructure network modelling of natural hazard impacts: Needs and influence on model characteristics
The abstract discusses the impact of natural hazards on critical infrastructure networks (CINs) and the challenges posed by insufficient data quality for effective modeling. It outlines a generic modeling workflow and a framework to assess data availability challenges, illustrated through case studies, highlighting the importance of addressing data scarcity to enhance model reliability and resilience.
Check resource
#Published papers
A deep learning pipeline to power infrastructure detection in high-resolution satellite images
This study presents an open-source deep learning pipeline for detecting power infrastructure, like towers and poles, from high-resolution satellite imagery. Utilizing a Faster R-CNN model on Worldview-3 images in Vietnam, it achieved notable performance metrics and created a comprehensive dataset, enhancing risk management and resilience planning for power systems.
Check resource
#Data and code
#Published papers
VineCopulas: an open-source Python package for vine copula modelling
Copula methods are utilized to describe dependency structures between random variables across various fields, such as finance and bio-geophysical sciences. Unlike traditional multivariate distributions that assume symmetric dependencies, copulas enable modeling joint distributions separately from marginal distributions, facilitating the generation of correlated and conditional random samples.
Check resource
#Published papers
Instrumental monitoring and assessment of the seismic vulnerability of a school building (in greek)
Η εκτίμηση της σεισμικής τρωτότητας σχολικών κτιρίων είναι καθοριστική για την ασφάλεια της σχολικής κοινότητας. Η εργασία αναλύει την τρωτότητα συγκεκριμένου σχολικού κτιρίου, συνδυάζοντας σεισμολογικά δίκτυα και αριθμητική προσομοίωση. Τα αποτελέσματα συμβάλλουν στην ανάπτυξη κατάλληλων μοντέλων και στο σχεδιασμό δράσεων μετριασμού σεισμικού κινδύνου.
Check resource
#Published papers
Application and platform for seismic vulnerability assessment of critical buildings (in greek)
Η εργασία προτείνει μεθοδολογία και εργαλεία για την εκτίμηση της σεισμικής τρωτότητας κρίσιμων κτιρίων, όπως σχολικά, συνδυάζοντας ταχύ οπτικό έλεγχο και λεπτομερή εκτίμηση. Το σύστημα "RiskSchools" επιτρέπει τη ιεράρχηση προτεραιοτήτων για ενίσχυση κτιρίων, μειώνοντας τον σεισμικό κίνδυνο, με πιλοτική εφαρμογή στην Κεντρική Μακεδονία.
Check resource
#Published papers
An innovative app and platform for the seismic resilience assessment of critical infrastructure
The methodology developed in the RiskSchools project assesses seismic resilience and risk classification of critical infrastructures, particularly school buildings, through a combination of rapid visual screening and probabilistic assessment. A user-friendly smartphone app and platform enhance decision-making for disaster risk management, applicable globally to various critical facilities.
Check resource
#Published papers
Review article: Physical Vulnerability Database for Critical Infrastructure Hazard Risk Assessments
This study reviews fragility and vulnerability curves for critical infrastructure affected by natural hazards. It presents a centralized database containing over 1510 curves for energy, transport, water, waste, telecommunication, health, and education. While earthquake-related curves dominate, further research is necessary, particularly for underrepresented areas like telecommunications.
Check resource
#Published papers
Seismic vulnerability assessment methodology of reinforced concrete buildings subjected to rainfall induced landslide (in greek)
Προτείνεται μια μεθοδολογία για την εκτίμηση της τρωτότητας κτιρίων οπλισμένου σκυροδέματος σε κατολισθήσεις που προκαλούνται από βροχόπτωση. Η διαδικασία περιλαμβάνει εκτίμηση εδαφικών μετακινήσεων και μη γραμμικές στατικές αναλύσεις σε μοντέλα κατασκευών για να αξιολογηθεί η τρωτότητα και η αναμενόμενη απόκριση.
Check resource
#Published papers
Seismic fragility of steel structures including soil – structure interaction
This paper calculates seismic fragility curves for special moment frame steel structures in seismic areas, considering soil flexibility. Probabilistic soil properties are analyzed using incremental dynamic analysis across various building heights. Findings indicate that soil characteristics significantly influence the collapse probability, particularly for shorter structures, with shear modulus being the most critical parameter.
Check resource
#Published papers
Seismic fragility of steel structures including SSI and site amplification effects
This study evaluates the effects of soil-structure interaction (SSI) and site amplification (SAmp) on the seismic behavior of steel frame structures using finite element simulations. The analysis compares fixed-base and nonlinear foundation models, revealing the critical role of soil conditions and SSI in influencing structural performance during earthquakes.
Check resource
#Published papers
Exposure datasets of critical infrastructure for multi-hazard risk assessment and climate adaptation.
The paper discusses the significance of Critical Infrastructure (CI) in society, highlighting efforts to develop exposure datasets for various CI assets. It emphasizes the necessity of quality data for effective risk assessments of damages from natural hazards. The study identifies existing gaps and is part of the MIRACA project aimed at improving CI resilience.
Check resource
#Published papers
Quantifying climate risks to infrastructure systems: A comparative review of developments across infrastructure sectors
This paper reviews recent advancements in quantitative climate risk analysis for various infrastructure sectors vulnerable to climate hazards. It identifies key research gaps, including the lack of multi-hazard modeling, insufficient studies on specific hazards-infrastructure combinations, and challenges in validating models. A cross-sectoral approach is recommended for improved resilience and knowledge integration.
Check resource
#Published papers
A new method to compile global multi-hazard event sets
This study introduces the MYRIAD-Hazard Event Sets Algorithm (MYRIAD-HESA), an open-access tool for creating multi-hazard event sets from historical data across diverse scales. It compiles a global database (2004-2017) of eleven hazards, addressing multi-hazard interactions and incorporating time-lags, enhancing disaster risk understanding and assessment capabilities.
Check resource
#Deliverables
D 4.1 Adaptation options at sources level: reducing hazard severity
D4.1 MIRACADownload
Check resource
#Deliverables
D 3.1 Review of existing gaps in assessing direct and indirect effects of CI failure
D3.1 MIRACADownload
Check resource
#Deliverables
D 2.1 Review on existing quality of information on CI interdependencies and usage information at the pan-European scale
D2.1 MIRACADownload
Check resource
#Deliverables
D1.3 Inventory of complex, cascading and compound disaster events in Europe
D1.3 MIRACADownload
Check resource
#Deliverables
D 1.2 Pan-European standardised database and appropriate model of single-type climate, hydrological and geological hazard information
D1.2 MIRACADownload
Check resource
#Deliverables
D 1.1 Review of existing gaps in CI asset exposure and vulnerability data
D1.1 MIRACADownload
Check resource
