Digital post-disaster risk management twinning: A review and improved conceptual framework

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 110, С. 104629 - 104629

Опубликована: Июнь 24, 2024

Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or even human beings with substantial potential to revolutionize post-disaster risk management efforts and achieve resilient communities against adverse effects disasters. However, this remains largely unrecognized poorly understood in disaster management. This study explores current achievements, existing challenges, untapped DT management, accordingly, proposes an improved twin-based framework. paper employs a systematic literature review approach focusing on digital twinning (DPRMT) derived from two databases: Scopus Web Science. After screening process exclusion criteria, final analysis synthesizes findings selected set 96 papers. The results revealed that previous studies are not beyond only providing general statements about DT. There need for diverse data collection methods, considering demographic financial aspects, understanding social dynamics, employing dynamic models, recognizing interconnected giving due attention often-neglected recovery phase. comprehensive DPRMT concept framework leveraging decision-makers holistic efficient offers real-time, detailed, data-driven modeling solutions insights into disaster-affected areas communities. It also helpful optimize response planning, resource allocation, scenario testing by capturing complex behaviors systems entities often overlooked studies.

Язык: Английский

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Semantic agent framework for automated flood assessment using dynamic knowledge graphs

Data-Centric Engineering, Год журнала: 2024, Номер 5

Опубликована: Янв. 1, 2024

Abstract This article proposes a framework of linked software agents that continuously interact with an underlying knowledge graph to automatically assess the impacts potential flooding events. It builds on idea connected digital twins based World Avatar dynamic create semantically rich asset data, knowledge, and computational capabilities accessible humans, applications, artificial intelligence. We develop three new ontologies describe link environmental measurements their respective reporting stations, flood events, impact population built infrastructure as well environment city itself. These coupled are deployed dynamically instantiate near real-time data from multiple fragmented sources into Avatar. Sequences autonomous via derived information consequences newly instantiated such raised warnings, cascade updates through ensure up-to-date insights number people building stock value at risk. Although we showcase strength this technology in context flooding, our findings suggest system-of-systems approach is promising solution build holistic for various other contexts use cases support truly interoperable smart cities.

Язык: Английский

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A framework for incorporating rainfall data into a flooding digital twin

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132893 - 132893

Опубликована: Фев. 1, 2025

Язык: Английский

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Redefining flood hazard and addressing emerging risks in an era of extremes

npj natural hazards., Год журнала: 2025, Номер 2(1)

Опубликована: Апрель 3, 2025

Язык: Английский

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Dynamic control of district heating networks with integrated emission modelling: A dynamic knowledge graph approach

Energy and AI, Год журнала: 2024, Номер 17, С. 100376 - 100376

Опубликована: Май 18, 2024

This paper presents a knowledge graph-based approach for the dynamic control of district heating network with integrated emission dispersion modelling. We propose an interoperable and extensible implementation to forecast anticipated heat demand municipal network, minimise associated total generation cost based on previously devised methodology, couple it simulations induced airborne pollutants provide automatic insights into air quality implications various sourcing strategies. create cross-domain interoperability in nexus energy via newly developed ontologies semantic software agents, which can be chained together The World Avatar graph resemble behaviour complex systems. Furthermore, we integrate City Energy Analyst this ecosystem building-level renewable potential foster strategic analyses scenario planning. Underlying calculations use building weather data from place inherent assumptions official release, facilitating more data-driven approach. All cases are implemented mid-size town Germany as proof-of-concept, unified visualisation interface is provided, allowing examination 3D buildings alongside their corresponding supply time series, well data. With work, outline Semantic Web technologies connect digital twins holistic modelling smart cities, thereby addressing increasing complexity interconnected

Язык: Английский

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Knowledge graph-based Bayesian network risk assessment model for hydrogen accidents

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 81, С. 927 - 941

Опубликована: Июль 27, 2024

Язык: Английский

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Fostering urban resilience and accessibility in cities: A dynamic knowledge graph approach

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105708 - 105708

Опубликована: Июль 31, 2024

Язык: Английский

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OFPO & KGFPO: Ontology and Knowledge Graph for Flood Process Observation

Environmental Modelling & Software, Год журнала: 2025, Номер unknown, С. 106317 - 106317

Опубликована: Янв. 1, 2025

Язык: Английский

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Urban flooding digital twin system framework

Systems Science & Control Engineering, Год журнала: 2025, Номер 13(1)

Опубликована: Фев. 7, 2025

Digital twin-based resilience management systems are essential for improving urban flooding resilience, enabling lifecycle-oriented emergency as a continuous process rather than discrete phases. However, to the best of our knowledge, currently, there lacks system framework supporting development an digital twin (UFDT) platform capable managing events across entire lifecycle. This UFDT is required (1) accommodate model-generation methods/tools preparing what-if scenarios, (2) support readiness simulations and evaluations, (3) coordinate various collaborative prevention intervention services from different stakeholders in response any emergence, (4) monitor forecast risks recovery phase. To fill this gap, paper, new developed based on user-centred product design with consideration above requirements. It has two key components: conceptual model, generative methodology its rapid construction/updating/adaptation varying levels detail. A prototype been testing model at city, regional street exemplar assess framework's ability potential provide scalable, adaptable, stakeholder-focused solutions management[Q1].

Язык: Английский

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Common data environment for digital twins from building to city levels

Automation in Construction, Год журнала: 2025, Номер 174, С. 106131 - 106131

Опубликована: Март 22, 2025

Язык: Английский

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