Regional Earthquake Disaster Macro Risk Assessment Model Research

Article Preview

Abstract:

Regional earthquake disaster macro risk assessment model can be devided into two parts:economic losses and casualities. through the compare of domestic earthquake disaster as-sessment model,the existing model evaluation index is sole,and it can not reflect the differences of urban earthquake disaster in the area,according to this we built the regional seismic disaster evaluation index system, and use the PCA method to analyze the index,and get the weights of each index,further to build the regional seismic disaster economic loss evaluation index system effectde by multiple in-dex.Take the previous data between 1996 to 2009 as an example to analyze,compare the reckoning and the existing model evaluate results,and check the effectiveness and feasibility of the model.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 368-373)

Pages:

2983-2986

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yao Qing-lin,Huang Chong-fu. Main factors influencing seismic disasters risk and a fuzzy algorithm for the risk evaluation index. Journal of natural disasters. 2002,11(5):51-58

Google Scholar

[2] Nie Gao-zhong,Gao Jian-guo,MA Zong-jin On the risk of earthquake disaster in China in the coming 10~ 15 years .Journal of natural disasters.2002, 11(1): 68 -73

Google Scholar

[3] Chen Qi-fu,Chen Yong,Chen Ling. Prediction of seismic losses evaluation with GDP and popu-lation date ,acta seismologica sinica, 1997, 19(6):640-649

Google Scholar

[4] Chen Qi-fu, Chen Yong, Chen Ling, et al. Estimation of earthquake losses by using macroeco-nomic approach. Chinese Science Bulletin, February 1999, 44(3) :199-203.

DOI: 10.1007/bf02896272

Google Scholar

[5] Chen Yong,Liu Jie. Earthquake risk assessment and loss estimation(review). Journal of natural disasters.1995,4(2):20-29

Google Scholar

[6] Chen Yong,Liu Jie,Chen Qi-fu. The seismic risk analysis and earthquake damage predic ion.Beijing: Earthquake Publish Company 1999:20-150

Google Scholar

[7] Chen Yong, Chen Qi-fu, Chen Ling. Vulnerability Analysis in Earthquake Loss Estimate. Natu-ral Hazards, 2001, 23:349-364

Google Scholar

[8] Chen Yong, Chen Qifu, Liu Jie, et al. Seismic Hazard and Risk Analysis: A Simplified Ap-proach. Science Press, 2002:75-140

Google Scholar

[9] Liu Jifu, Chen Yong, Shi Peijun ect , A study on seismic risk assessment in mainland-china (Ⅱ):life vulnerability model. Journal of Beijing Normal University (Natural Science) 2009,45(4):404-407

Google Scholar

[10] Liu Jifu, Chen Yong, Shi Peijun ect ,On seismic assessment in mainland china.Journal of Bei-jing Normal University (Natural Science),2008,44(4):520-523

Google Scholar

[11] Wang Xiao-qing, Ding Xiang, Wang Long ,Wang Yan. A study on fast earthquake loss as-sessment and its application to 2008 Wenchuan M8 earthquake. Acta Seismologica Sinica 2009, 31(2):205-211.

DOI: 10.1007/s11589-009-0129-8

Google Scholar

[12] Ma Feng-shi,WU Chen-ou,Cai Xia.Modern practical statistic based on MINITAB. Chinese people's university press ,2009:105-119

Google Scholar

[13] Zhang Rao-ting,Fang Kai_tai.Introduction to Multivariate statistical analysis beijing: Science Press 1982:30-80

Google Scholar

[14] M iHongliang, LiYang and Hou Jiansheng . Earthquake Disasters in ChineseM ainland in 2007 RecentDevelopments inWorld Seismology 2007,350(2):41-45

Google Scholar

[15] ZhengTong-yan, LiYang, Hou JianshengandMiHongliang Review on Earthquake Disaster Loss in ChineseMainland in2008.Journal of catastro phology 2010, 25(2):112-117

Google Scholar

[16] ZhengTong-yan, LiYang, Hou JianshengandMiHongliang . A Review of Earthquake Disasters Loss in Mainland China in 2009. Journal of catastro phology.2010,25(4):96-101

Google Scholar

[17] Li Jiang-lin. Regional seismic risk analysis and application of seismic performance Master's Thesis of Beijing University of Technology 2011:15-36

Google Scholar