Skip to content

Probabilistic Earthquake-tsunami Hazard Assessment: The First Step Towards Resilient Coastal Communities

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Probabilistic Earthquake-tsunami Hazard Assessment : The First Step Towards Resilient Coastal Communities. / De Risi, Raffaele; Goda, Katsu.

Urban Transitions Conference, Shanghai, September 2016: Towards a better urban future in an interconnected age. Elsevier, 2017. p. 1058–1069 (Procedia Engineering; Vol. 198).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

De Risi, R & Goda, K 2017, Probabilistic Earthquake-tsunami Hazard Assessment: The First Step Towards Resilient Coastal Communities. in Urban Transitions Conference, Shanghai, September 2016: Towards a better urban future in an interconnected age. Procedia Engineering, vol. 198, Elsevier, pp. 1058–1069, Procedia Engineering: Urban Transitions Conference, Shanghai, China, 5-9 September. DOI: 10.1016/j.proeng.2017.07.150

APA

De Risi, R., & Goda, K. (2017). Probabilistic Earthquake-tsunami Hazard Assessment: The First Step Towards Resilient Coastal Communities. In Urban Transitions Conference, Shanghai, September 2016: Towards a better urban future in an interconnected age (pp. 1058–1069). (Procedia Engineering; Vol. 198). Elsevier. DOI: 10.1016/j.proeng.2017.07.150

Vancouver

De Risi R, Goda K. Probabilistic Earthquake-tsunami Hazard Assessment: The First Step Towards Resilient Coastal Communities. In Urban Transitions Conference, Shanghai, September 2016: Towards a better urban future in an interconnected age. Elsevier. 2017. p. 1058–1069. (Procedia Engineering). Available from, DOI: 10.1016/j.proeng.2017.07.150

Author

De Risi, Raffaele; Goda, Katsu / Probabilistic Earthquake-tsunami Hazard Assessment : The First Step Towards Resilient Coastal Communities.

Urban Transitions Conference, Shanghai, September 2016: Towards a better urban future in an interconnected age. Elsevier, 2017. p. 1058–1069 (Procedia Engineering; Vol. 198).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bibtex

@inbook{542cc373bae2404f90ceb41a8a18560a,
title = "Probabilistic Earthquake-tsunami Hazard Assessment: The First Step Towards Resilient Coastal Communities",
abstract = "As more population migrates to coastal regions worldwide, earthquake-triggered tsunamis pose a greater threat than ever before. Stakeholders, decision makers, and emergency managers face an urgent need for operational decision-support tools that provide robust and accurate hazard assessments, when human lives and built environment are at risk. To meet this need, this study presents a new probabilistic procedure for estimating the likelihood that seismic intensity and tsunami inundation will exceed given respective hazard levels. The novelty of the procedure is that a common physical rupture process for shaking and tsunami is explicitly taken into account. The procedure consists of generating numerous stochastic slip distributions of earthquakes with different magnitudes using scaling relationships of source parameters for subduction zones and then using a stochastic synthesis method of earthquake slip distribution. Coupled estimation of earthquake and tsunami intensity parameters is carried out by evaluating spatially correlated strong motion intensity through the adoption of ground motion prediction equations and by solving nonlinear shallow water equations for tsunami wave propagation and inundation. The main output of the proposed procedure is the earthquake-tsunami hazard curves, representing the one-to-one mapping between mean annual rate of occurrence and seismic and inundation tsunami intensity measures. Results are particularly useful for coupled multi-hazard mapping purposes. The developed framework can be further extended to probabilistic seismic and tsunami risk assessment.",
keywords = "Mega-thrust subduction earthquake, Tsunami, Probabilistic hazard analysis, Stochastic rupture models, Scaling relationships of earthquake source parameters",
author = "{De Risi}, Raffaele and Katsu Goda",
year = "2017",
doi = "10.1016/j.proeng.2017.07.150",
series = "Procedia Engineering",
publisher = "Elsevier",
pages = "1058–1069",
booktitle = "Urban Transitions Conference, Shanghai, September 2016",
address = "United States",

}

RIS - suitable for import to EndNote

TY - CHAP

T1 - Probabilistic Earthquake-tsunami Hazard Assessment

T2 - The First Step Towards Resilient Coastal Communities

AU - De Risi,Raffaele

AU - Goda,Katsu

PY - 2017

Y1 - 2017

N2 - As more population migrates to coastal regions worldwide, earthquake-triggered tsunamis pose a greater threat than ever before. Stakeholders, decision makers, and emergency managers face an urgent need for operational decision-support tools that provide robust and accurate hazard assessments, when human lives and built environment are at risk. To meet this need, this study presents a new probabilistic procedure for estimating the likelihood that seismic intensity and tsunami inundation will exceed given respective hazard levels. The novelty of the procedure is that a common physical rupture process for shaking and tsunami is explicitly taken into account. The procedure consists of generating numerous stochastic slip distributions of earthquakes with different magnitudes using scaling relationships of source parameters for subduction zones and then using a stochastic synthesis method of earthquake slip distribution. Coupled estimation of earthquake and tsunami intensity parameters is carried out by evaluating spatially correlated strong motion intensity through the adoption of ground motion prediction equations and by solving nonlinear shallow water equations for tsunami wave propagation and inundation. The main output of the proposed procedure is the earthquake-tsunami hazard curves, representing the one-to-one mapping between mean annual rate of occurrence and seismic and inundation tsunami intensity measures. Results are particularly useful for coupled multi-hazard mapping purposes. The developed framework can be further extended to probabilistic seismic and tsunami risk assessment.

AB - As more population migrates to coastal regions worldwide, earthquake-triggered tsunamis pose a greater threat than ever before. Stakeholders, decision makers, and emergency managers face an urgent need for operational decision-support tools that provide robust and accurate hazard assessments, when human lives and built environment are at risk. To meet this need, this study presents a new probabilistic procedure for estimating the likelihood that seismic intensity and tsunami inundation will exceed given respective hazard levels. The novelty of the procedure is that a common physical rupture process for shaking and tsunami is explicitly taken into account. The procedure consists of generating numerous stochastic slip distributions of earthquakes with different magnitudes using scaling relationships of source parameters for subduction zones and then using a stochastic synthesis method of earthquake slip distribution. Coupled estimation of earthquake and tsunami intensity parameters is carried out by evaluating spatially correlated strong motion intensity through the adoption of ground motion prediction equations and by solving nonlinear shallow water equations for tsunami wave propagation and inundation. The main output of the proposed procedure is the earthquake-tsunami hazard curves, representing the one-to-one mapping between mean annual rate of occurrence and seismic and inundation tsunami intensity measures. Results are particularly useful for coupled multi-hazard mapping purposes. The developed framework can be further extended to probabilistic seismic and tsunami risk assessment.

KW - Mega-thrust subduction earthquake

KW - Tsunami

KW - Probabilistic hazard analysis

KW - Stochastic rupture models

KW - Scaling relationships of earthquake source parameters

U2 - 10.1016/j.proeng.2017.07.150

DO - 10.1016/j.proeng.2017.07.150

M3 - Conference contribution

T3 - Procedia Engineering

SP - 1058

EP - 1069

BT - Urban Transitions Conference, Shanghai, September 2016

PB - Elsevier

ER -