Global Strong Earthquake Loss Estimating Modle Based On GDP,Population And Site Correction In Google Earth

Along with the worldwide accelerating process of urbanization and the accumulation of wealth in the world,With the progress of human civilization,the loss caused by destructive earthquake increases remarkably.The development of science and technology also help People to reach the disaster area faster than ever before to rescue,and timely and effective manner will rescue the loss of social assets less and save more lives.The communication of the disaster areas will usually be interrupted after a strong earthquake,therefore we must distribute the earthquake ground motions,intensity map and the estimated loss map as a scientist of Seismology,to provide information for the earthquake emergency response and risk management.We try to set up a model for estimating the earthquake loss base on site correction and macroeconomic indicator-GDP on Google Earth platform.The main aspects we researched are following:1.Web-GIS gradually replace traditional GIS with the high development of Internet,and then Google Earth is used in people's daily lives for it's many advantages.KML is based on XML syntax and API of web make Google Earth convenient for Seismologist.Also,Google Earth has rich information lays,high resolution satellite topographic images and is a suitable GIS platform to broadcast earthquake information.2.Earthquake ground motions are the basement of emergency response and loss estimation.It's very important to distribute ground motions as soon as possible after an earthquake,but we need do site correction with the ground motions.David Wald et al.derived first-order site condition maps directly from topographic data,the slope-based method provides a simple approach to uniform site condition mapping.3.Prof.Chen Yong et al.proposed an approach to address exposure bypass the problem of the conventional method by employing a macroscopic indicator to represent the social wealth directly.It provided a simplified method to estimate economic loss of social disaster impacts of earthquakes for most parts of the world.This approach is simple and easy to applyWe input the simple earthquake source parameters,such as magnitude, epicenter,depth and faults,then the model calculate and broadcast the ground motions and loss estimation in Google Earth.Wenchuan M8.0 earthquake(2008) and Peru M8.0 earthquake(2007) are two applications of this model.