Earthquake risk assessment for the building inventory of Muscat, Sultanate of Oman

Ufuk Hancilar (), Issa El-Hussain, Karin Sesetyan, Ahmed Deif, Eser Cakti, Ghazi Al-Rawas, Erdal Safak and Khalifa Al-Jabri
Additional contact information
Ufuk Hancilar: Bogazici University Teknopark
Issa El-Hussain: Sultan Qaboos University (SQU)
Karin Sesetyan: Bogazici University Teknopark
Ahmed Deif: Sultan Qaboos University (SQU)
Eser Cakti: Bogazici University Teknopark
Ghazi Al-Rawas: Sultan Qaboos University (SQU)
Erdal Safak: Bogazici University Teknopark
Khalifa Al-Jabri: Sultan Qaboos University (SQU)

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 93, issue 3, No 15, 1419-1434

Abstract: Abstract Earthquake risk can be quantified in terms of the estimated numbers of human casualties and of damaged buildings as well as the monetary losses. The information required for the assessment of earthquake risk in a given region includes the expected level of ground shaking intensity (i.e., the seismic hazard), inventory data for building stock at risk, identification of predominant building typologies and of their vulnerability characteristics, and spatial distribution of number of inhabitants. This study presents an indicative assessment of earthquake risk associated with the building stock in Muscat, the capital city of the Sultanate of Oman. For this purpose, building inventory and demographic data for the city are compiled in GIS environment. The buildings are classified to identify their damageability/vulnerability characteristics, and predominant building typologies are determined. For the estimation of casualties, Muscat population data are further analyzed to calculate number of occupants in the exposed building stock. Spectral acceleration–displacement based damage estimation methodology is implemented for risk calculations. Site-specific ground motions in terms spectral accelerations obtained from the probabilistic seismic hazard assessment for 475- and 2475-year return periods are considered for the representation of earthquake demand in damage analyses. Assessment of damage to buildings and estimation of casualties are obtained using analytical fragility relationships and building damage related casualty–vulnerability models, respectively. Earthquake risk maps illustrating the spatial distribution of number of damaged buildings at different damage states are presented for the considered levels of seismic hazard.

Keywords: Earthquake risk; Grid-based building inventory and demographic data; Spectral acceleration–displacement based damage assessment; Casualty estimation (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-018-3357-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:93:y:2018:i:3:d:10.1007_s11069-018-3357-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-018-3357-1

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().