Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  Tsunami Digital Twin – A new paradigm for tsunami disaster resilience

Koshimura, S., Mas, E., Adriano, B., Musa, A. (2023): Tsunami Digital Twin – A new paradigm for tsunami disaster resilience, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-2090

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018729 Versions-Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018729_2
Genre: Konferenzbeitrag

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Koshimura, Shunichi1, Autor
Mas, Erick1, Autor
Adriano, Bruno1, Autor
Musa, Akihiro1, Autor
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: The digital twin is now recognized as digital copies of the physical world's objects stored in digital(cyber) space and utilized to simulate the sequences and consequences of target phenomena. By incorporating the physical world’s data into the digital twin, users can fully view the target through real-time feedback. Given the importance of the digital twin, the authors propose “Tsunami Digital Twin (TDT)” as a new paradigm in tsunami science and engineering to enhance tsunami disaster resilience. The components of TDT are the transformation from "Data" to "Information" by integrating sensing, monitoring, and simulation; "Interpretation" of data and information; "Inference" by using available data and information to draw conclusions and consequences and decide policies and responses for social resilience. The fusion of these components is the key to gaining knowledge and insight for optimal solutions in the physical world. The components to be covered are the following six research themes that will be presented in the tsunami session. Theme 1: Real-time tsunami inundation modeling and forecast capability. Theme 2: Dynamic exposure estimation and guidance to mobile devices and connected vehicles. Theme 3: Application of machine learning to enhance real-time tsunami inundation forecast capabilities. Theme 4: Machine learning-based damage/loss estimation methods. Theme 5: Remote sensing data analysis for mapping. Theme 6: Social sensing of cascading disaster processes in the tsunami-affected area.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2023
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.57757/IUGG23-2090
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Veranstaltungsort: Berlin
Start-/Enddatum: 2023-07-11 - 2023-07-20

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Potsdam : GFZ German Research Centre for Geosciences
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -