Development of Building Inventory Data and Earthquake Damage Estimation in Lima, Peru for Future Earthquakes

被引:9
|
作者
Matsuoka, Masashi [1 ]
Mito, Shun [2 ]
Midorikawa, Saburoh [1 ]
Miura, Hiroyuki [3 ]
Quiroz, Luis G. [4 ]
Maruyama, Yoshihisa [4 ]
Estrada, Miguel [5 ]
机构
[1] Tokyo Inst Technol, Interdisciplinary Grad Sch Sci & Engn, Midori Ku, Nagatsuta 4259-G3, Yokohama, Kanagawa 2268502, Japan
[2] Mitsubishi Jisho Property Management Co Ltd, Tokyo, Japan
[3] Hiroshima Univ, Grad Sch Engn, Hiroshima, Japan
[4] Chiba Univ, Grad Sch Engn, Chiba, Japan
[5] Natl Univ Engn, Japan Peru Ctr Earthquake Engn & Disaster Mitiga, Lima, Peru
关键词
building inventory data; earthquake damage estimation; census data; fragility curve; socio-economic class; satellite imagery;
D O I
10.20965/jdr.2014.p1032
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:1032 / 1041
页数:10
相关论文
共 50 条
  • [1] Regional Multiseverity Casualty Estimation Due to Building Damage Following a Mw 8.8 Earthquake Scenario in Lima, Peru
    Ceferino, Luis
    Kiremidjian, Anne
    Deierlein, Gregory
    EARTHQUAKE SPECTRA, 2018, 34 (04) : 1739 - 1761
  • [2] Development of Earthquake-Induced Building Damage Estimation Model Based on ALOS/PALSAR Observing the 2007 Peru Earthquake
    Matsuoka, Masashi
    Estrada, Miguel
    JOURNAL OF DISASTER RESEARCH, 2013, 8 (02) : 346 - 355
  • [3] Development of Building Micro Geodata for Earthquake Damage Estimation
    Akiyama, Yuki
    Ogawa, Yoshiki
    International Geoscience and Remote Sensing Symposium (IGARSS), 2019, : 5528 - 5531
  • [4] DEVELOPMENT OF BUILDING MICRO GEODATA FOR EARTHQUAKE DAMAGE ESTIMATION
    Akiyama, Yuki
    Ogawa, Yoshiki
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 5528 - 5531
  • [5] Estimation of building damage rates from future earthquakes in Taiwan in terms of MMI
    Chen, Kuei-Pao
    Chang, Wen-Yen
    NATURAL HAZARDS, 2015, 79 (01) : 645 - 660
  • [6] Estimation of building damage rates from future earthquakes in Taiwan in terms of MMI
    Kuei-Pao Chen
    Wen-Yen Chang
    Natural Hazards, 2015, 79 : 645 - 660
  • [7] Estimation of the Seismic Source of the 1974 Lima Peru Earthquake and Tsunami (Mw 8.1)
    Jimenez, Cesar
    Morales, Jorge
    Estrada, Miguel
    Adriano, Bruno
    Mas, Erick
    Koshimura, Shunichi
    JOURNAL OF DISASTER RESEARCH, 2023, 18 (08) : 825 - 834
  • [8] Estimation of the Restoration Period of the Water Supply System in Lima, Peru, After a Scenario Earthquake
    Maruyama, Yoshihisa
    Ichimoto, Ryo
    Nojima, Nobuoto
    Inocente, Italo
    Gallardo, Jorge
    Quiroz, Luis
    JOURNAL OF DISASTER RESEARCH, 2023, 18 (04) : 359 - 365
  • [9] Development of Building Inventory Data in Ulaanbaatar, Mongolia for Seismic Loss Estimation
    Tumurbaatar, Zorigt
    Miura, Hiroyuki
    Tsamba, Tsoggerel
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (01)
  • [10] A Global Building Inventory for Earthquake Loss Estimation and Risk Management
    Jaiswal, Kishor
    Wald, David
    Porter, Keith
    EARTHQUAKE SPECTRA, 2010, 26 (03) : 731 - 748