Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The 8th International Symposium On Reliability Engineering and Management (ISRERM 2022) |
| Herausgeber/-innen | Michael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub |
| Seiten | 629-634 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - Sept. 2022 |
Abstract
Due to climate change, the European coast needs to be reassessed regarding safety factors against natural disasters such as tropical cyclones, superstorms, floods, and the general rise in sea level. Within this work, a data-driven model to simulate artificial superstorm events that might hit the German north sea coast is established. By revisiting a historical storm event, namely "Ophelia", a stochastic model has been derived which enables the prediction of wind speed and water level for specific locations of interest. The simulation is carried out using a hybrid coupled model (ADCIRC+SWAN) which combines wind speed propagation, wave propagation, and wave heights. In the end, this model shall provide the basis for a new safety assessment of the German north sea coasts, with the aim of reducing the risk to residents and minimizing economic damage by proposing suitable countermeasures for possible severe weather or flood events.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
- Entscheidungswissenschaften (insg.)
- Managementlehre und Operations Resarch
Ziele für nachhaltige Entwicklung
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The 8th International Symposium On Reliability Engineering and Management (ISRERM 2022). Hrsg. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. 2022. S. 629-634.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Simulation and risk evaluation of possible superstorms hitting Europe's north sea coast
AU - Sun, Yuankang
AU - Bittner, Marius
AU - Zhang, Yi
AU - Beer, Michael
N1 - Publisher Copyright: © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.
PY - 2022/9
Y1 - 2022/9
N2 - Due to climate change, the European coast needs to be reassessed regarding safety factors against natural disasters such as tropical cyclones, superstorms, floods, and the general rise in sea level. Within this work, a data-driven model to simulate artificial superstorm events that might hit the German north sea coast is established. By revisiting a historical storm event, namely "Ophelia", a stochastic model has been derived which enables the prediction of wind speed and water level for specific locations of interest. The simulation is carried out using a hybrid coupled model (ADCIRC+SWAN) which combines wind speed propagation, wave propagation, and wave heights. In the end, this model shall provide the basis for a new safety assessment of the German north sea coasts, with the aim of reducing the risk to residents and minimizing economic damage by proposing suitable countermeasures for possible severe weather or flood events.
AB - Due to climate change, the European coast needs to be reassessed regarding safety factors against natural disasters such as tropical cyclones, superstorms, floods, and the general rise in sea level. Within this work, a data-driven model to simulate artificial superstorm events that might hit the German north sea coast is established. By revisiting a historical storm event, namely "Ophelia", a stochastic model has been derived which enables the prediction of wind speed and water level for specific locations of interest. The simulation is carried out using a hybrid coupled model (ADCIRC+SWAN) which combines wind speed propagation, wave propagation, and wave heights. In the end, this model shall provide the basis for a new safety assessment of the German north sea coasts, with the aim of reducing the risk to residents and minimizing economic damage by proposing suitable countermeasures for possible severe weather or flood events.
KW - Coastal risk simulation
KW - Coupled model
KW - European coastline
KW - Wavefield
KW - superstorm simulation
UR - http://www.scopus.com/inward/record.url?scp=85202075628&partnerID=8YFLogxK
U2 - 10.3850/978-981-18-5184-1_MS-19-105-cd
DO - 10.3850/978-981-18-5184-1_MS-19-105-cd
M3 - Conference contribution
SN - 9789811851841
SP - 629
EP - 634
BT - The 8th International Symposium On Reliability Engineering and Management (ISRERM 2022)
A2 - Beer, Michael
A2 - Zio, Enrico
A2 - Phoon, Kok-Kwang
A2 - Ayyub, Bilal M.
ER -