Assessment of Community Risk from Seismic-Induced Damage to Hazardous Materials Storage Tanks in Marine Ports

Marine ports located in regions of moderate seismicity can face high Natech (natural hazard-triggered technological) risk because large inventories of hazardous materials are stored near dense urban populations. This study proposes and applies a Natech risk framework to a representative port on the Saint-Laurence River in Quebec, Canada. Site-specific peak ground accelerations (PGA) are first estimated for 12 earthquake scenarios using regional ground motion prediction equations adjusted for local site conditions. These hazard levels are combined with a damage probability matrix to estimate Hazardous Release Likelihood Index (HRLi) scores for atmospheric steel storage tanks. Offsite consequences are then evaluated to obtain Maximum Distances of Effect (MDEs) for different types of hazardous materials. MDE footprints are intersected with block-level demographic data and complemented by a domino-effect based on inter-tank spacing, yielding a tank-level Natech Risk Index NRIi,s for each storage tank (i) and seismic scenario (s). These values are then averaged over all tanks to obtain a scenario-level mean Natech Risk Index (NRI¯) for each tank substance. Regression equations relating NRI¯ to PGA are provided as a practical tool for defining critical intensity thresholds for seismic Natech risk management in marine ports.

Authors

Institutions

Publication Details

Journal
Infrastructures
Published
2026-02-02
DOI
https://doi.org/10.3390/infrastructures11020049
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Community Risk from Seismic-Induced Damage to Hazardous Materials Storage Tanks in Marine Ports

Fatiha Mouri, Mohamad Nassar, Ahmad Abo El Ezz
Infrastructures
Seismic Performance and Analysis
article

Assessment of Community Risk from Seismic-Induced Damage to Hazardous Materials Storage Tanks in Marine Ports

Fatiha Mouri, Mohamad Nassar, Ahmad Abo El Ezz
article en

Abstract

Marine ports located in regions of moderate seismicity can face high Natech (natural hazard-triggered technological) risk because large inventories of hazardous materials are stored near dense urban populations. This study proposes and applies a Natech risk framework to a representative port on the Saint-Laurence River in Quebec, Canada. Site-specific peak ground accelerations (PGA) are first estimated for 12 earthquake scenarios using regional ground motion prediction equations adjusted for local site conditions. These hazard levels are combined with a damage probability matrix to estimate Hazardous Release Likelihood Index (HRLi) scores for atmospheric steel storage tanks. Offsite consequences are then evaluated to obtain Maximum Distances of Effect (MDEs) for different types of hazardous materials. MDE footprints are intersected with block-level demographic data and complemented by a domino-effect based on inter-tank spacing, yielding a tank-level Natech Risk Index NRIi,s for each storage tank (i) and seismic scenario (s). These values are then averaged over all tanks to obtain a scenario-level mean Natech Risk Index (NRI¯) for each tank substance. Regression equations relating NRI¯ to PGA are provided as a practical tool for defining critical intensity thresholds for seismic Natech risk management in marine ports.

InfrastructuresVol. 11(2)
Université du Québec à Montréal (CA), École de Technologie Supérieure (CA)
Life below water
Openalex Percentile: Top 70%
Seismic Performance and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.