TY - JOUR
T1 - Development of building inventory data and earthquake damage estimation in lima, peru for future earthquakes
AU - Matsuoka, Masashi
AU - Mito, Shun
AU - Midorikawa, Saburoh
AU - Miura, Hiroyuki
AU - Quiroz, Luis G.
AU - Maruyama, Yoshihisa
AU - Estrada, Miguel
N1 - Publisher Copyright:
© 2014 Fuji Technology Press. All rights reserved.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - Even though detailed building inventory data are necessary for estimating earthquake damage reliably, most developing countries do not have sufficient data for such estimations. This necessitates a way for finding building distribution and feature easily. In this study for estimating the number of households in all building categories of different structures or floor numbers in Lima, Peru, where a great earthquake is expected, we propose an estimation method based on existing GIS data from a census, satellite imagery, and building data from field surveys, and apply it to estimate the entire area of Lima for create building inventory data. Building fragility functions were used to calculate a severe damage ratio of buildings due to the expected earthquake. The rate was multiplied by created building inventory data to estimate the number of households in damaged buildings. Furthermore we clarified damage reduction by retrofitting for low earthquake-resistant buildings.
AB - Even though detailed building inventory data are necessary for estimating earthquake damage reliably, most developing countries do not have sufficient data for such estimations. This necessitates a way for finding building distribution and feature easily. In this study for estimating the number of households in all building categories of different structures or floor numbers in Lima, Peru, where a great earthquake is expected, we propose an estimation method based on existing GIS data from a census, satellite imagery, and building data from field surveys, and apply it to estimate the entire area of Lima for create building inventory data. Building fragility functions were used to calculate a severe damage ratio of buildings due to the expected earthquake. The rate was multiplied by created building inventory data to estimate the number of households in damaged buildings. Furthermore we clarified damage reduction by retrofitting for low earthquake-resistant buildings.
KW - Building inventory data
KW - Census data
KW - Earthquake damage estimation
KW - Fragility curve
KW - Satellite imagery
KW - Socio-economic class
UR - http://www.scopus.com/inward/record.url?scp=84914181590&partnerID=8YFLogxK
U2 - 10.20965/jdr.2014.p1032
DO - 10.20965/jdr.2014.p1032
M3 - Artículo (Contribución a Revista)
AN - SCOPUS:84914181590
SN - 1881-2473
VL - 9
SP - 1032
EP - 1041
JO - Journal of Disaster Research
JF - Journal of Disaster Research
IS - 6
ER -