Earthquake Damage Prediction System of Buildings Group Based on Damage Factors Method

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Abstract:

In view of our country needs to improve the ability of city earthquake disaster prevention, the paper proposes the earthquake damage prediction method of buildings group based on damage factors method. The system establishes the earthquake damage prediction of spatial database. Based on the earthquake damage factors method and the application of the GIS spatial analysis model, we predict earthquake disaster loss of city buildings and realized the Langfang city earthquake disaster prediction system. The realization of this system provides strong technical support for improving the ability of Langfang earthquake disaster prevention.

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1496-1499

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Xiao-qing, Ding Xiang , GIS for estimation of damage and losses to Earthquake, Journal of Natural Disasters, 2004,13 (1):118-125.

Google Scholar

[2] Gao Jie, Feng Qi-min, Research on earthquake emergency response system, Journal of Natural Disasters, 2007. 12.

Google Scholar

[3] Li Xi, Zhou Guang-quan, Development of Earthquake Disaster Loss Assessment Software, Journal Of Seismological Research, 2009. 1.

Google Scholar

[4] CHEN Yingbiao,CHEN Jianfei,SU Qixin, The Research of City Emergency Management Model Based on GIS Technology -Guangzhou Higher Education Mega Center as a Case Study [J] , JOURNAL OF GEO-INFORMATION SCIENCE 2009. 2.

DOI: 10.3724/sp.j.1047.2009.00062

Google Scholar

[5] ZHANG Peng-peng, MAO Shan-jun, Design and Practices on Coal Reserves Management and Information System Based on GIS, Coal Science and Technology,2009. 7.

Google Scholar

[6] Huang Meng, Feng Jilin, Design and Implementation of Langfang Earthquake Disaster Prediction System Based on GIS, ITMS 2012, 2012. 9.

DOI: 10.4028/www.scientific.net/amm.236-237.697

Google Scholar