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.
Flocculation tests with electrophoretically separated serum proteins.
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