Seismic risk assessment of hospitals in Lima city using GIS tools

Sandra Santa-Cruz, Juan Palomino, Nicola Liguori, Marco Vona, Rodrigo Tamayo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

In this work, seismic risk assessment of hospitals in Lima city is presented. The aim of this paper is to evaluate the seismic risk of the Lima’s health system at Metropolitan scale. Seismic Risk Analysis has been carried out utilizing the Comprehensive Approach for Probabilistic Risk Assessment methodology (CAPRA). Geographic Information System (GIS) tools have been used to model the risk components: hazard, exposure and vulnerability. A total of 41 hospitals have been evaluated in order to obtain risk indicators in terms of economic losses. The results show that after an 8.2 magnitude earthquake with an epicenter in the coast of Lima, 85% of hospital buildings have more than 10% of structural damage. Furthermore, the expected annual loss (EAL) is 2% of the replacement value, which is high and uncompetitive compared with the values of the insurance sector market. This study seeks to understand and evaluate the hospitals seismic risk at metropolitan level in order to define measures, priorities and actions for the future development of Lima’s health system.

Idioma originalInglés
Título de la publicación alojadaComputational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
EditoresGiuseppe Borruso, Alfredo Cuzzocrea, Bernady O. Apduhan, Ana Maria A.C. Rocha, David Taniar, Sanjay Misra, Osvaldo Gervasi, Carmelo M. Torre, Elena Stankova, Beniamino Murgante
EditorialSpringer Verlag
Páginas354-367
Número de páginas14
ISBN (versión impresa)9783319623979
DOI
EstadoPublicada - 2017
Evento17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italia
Duración: 3 jul. 20176 jul. 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10406 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia17th International Conference on Computational Science and Its Applications, ICCSA 2017
País/TerritorioItalia
CiudadTrieste
Período3/07/176/07/17

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