Study on RS and GIS based comprehensive analysis of multi-factors affecting the earthquake risk: An application of Monte Carlo simulation
The seismic risk, as the product of seismic hazard and vulnerability, is widely assessed based on the traditional inventory method with a detailed classified facilities and structures. The losses caused by historical earthquakes, show great variation in the same seismic intensity. Thus the study of uncertainty of building vulnerability is important to improve the accuracy of seismic risk assessment. Because of the complexity of the combined factors affecting the building vulnerability, it is hard to estimate the effects by using the simple models. The paper introduces Monte Carlo random testing method to simulate the seismic vulnerability and estimate its uncertainty in the case that complex affecting factors exist. By using the building damage data of 2008 Ms=8.0 Wenchuan earthquake in Sichuan, China, acquired through interpretation of post-earthquake RS images and field survey, the exemplary quantitative structural vulnerabilities are estimated. The results show that the vulnerability uncertainty with affecting factors can be accurately simulated.
Study on quantitative earthquake damage of Dujiangyan city, caused by 2008 MS=8.0 Wenchuan, China earthquake based on aerial imagery
The paper introduces quantitative earthquake damage estimation method based on remote sensing data. The quantitative remote sensing seismic damage index based on building damage extracted from the aerial image of Dujiangyan city proper, southwest China's Sichuan province, which acquired after 2008 Ms=8.0 Wenchuan earthquake. The actual seismic damage indices were determined by the ground-based investigation in the city proper. Then their quantitative relationship was established. The results indicate that it is possible to build quantitative model of remote sensing seismic damage, which will enhance significantly the practicality applying the remote sensing in emergency acquisition and analysis of seismic disaster.
Acknowledgement
Dr Faisal Abdelfattah King Saud University, Saudi Arabia Prof Maher M. Abu-Hilal Sultan Qaboos University, Oman Prof Wilfried Admiraal Leiden University, Netherlands Dr Ana Aierbe-Barandiaran University of the Basque Country, Spain Dr Ahmet Akin Sakarya University, Turkey Dr Guido Alessandri Sapienza University of Rome, Italy Mr Alejandro Andrade-Lotero Indiana University, United States Prof Glenda Anthony Massey University, New Zealand Dr Robert Anthony University of Victoria, Canada Dr Shaljan Areepattamannil Queen’s University, United States Dr Alfredo Bautista Arellano Nanyang Technological University, Singapore Dr Katrin Arens German Institute for International Educational Research, Germany Dr Serhat Arslan Sakarya university, Turkey Prof Mark Ashcraft University of Nevada, Las Vegas, United States Dr José-María Augusto University of Jaén, Spain Dr Rachel Avery University of Surrey, United Kingdom Dr Christiane Baadte Johannes Gutenberg University of Mainz, Germany Prof Nan Bahr Queensland University of Technology, Australia Prof Linda J. Baker University of Maryland, United States Dr Jason Barr Monmouth University, United States Dr Susan Barrett Lehigh University, United States Dr William Bart University of Minnesota, Twin Cities, United States Dr Joan Barth University of Alabama, United States Dr Tanja Baudson University of Trier, Germany Dr Andreas Becker University of Göttingen, Germany Dr Lars Behrmann University of Münster, Germany Dr Elizabeth Belcastro Geneva College, United States Dr Héfer Bembenutty City University of New York, United States Dr Nicholas Frank Benson University of South Dakota, United States Dr Jean-Louis Berger Swiss Federal Institute for Vocational Education and Training, Switzerland Dr Matthew Bernacki University of Pittsburgh, United States Dr Ross Bernay Auckland University of Technology, New Zealand Dr Valérie Berner Catholic University of Eichstätt-Ingolstadt, Germany