Abstract. Improving earthquake disaster loss estimation speed and accuracy is one of the key factors in effective earthquake response and rescue. The presentation of exposure data by applying a dasymetric map approach has good potential for addressing this issue. With the support of 30 × 30 areal exposure data (population and building data in China), this paper presents a new earthquake disaster loss estimation method for emergency response situations. This method has two phases: a pre-earthquake phase and a co-earthquake phase. In the pre-earthquake phase, we precalculate the earthquake loss related to different seismic intensities and store them in a 30 × 30 grid format, which has several stages: determining the earthquake loss calculation factor, gridding damage probability matrices, calculating building damage and calculating human losses. Then, in the co-earthquake phase, there are two stages of estimating loss: generating a theoretical isoseismal map to depict the spatial distribution of the seismic intensity field; then, using the seismic intensity field to extract statistics of losses from the pre-calculated estimation data. Thus, the final loss estimation results are obtained. The method is validated by four actual earthquakes that occurred in China. The method not only significantly improves the speed and accuracy of loss estimation but also provides the spatial distribution of the losses, which will be effective in aiding earthquake emergency response and rescue. Additionally, related pre-calculated earthquake loss estimation data in China could serve to provide disaster risk analysis before earthquakes occur. Currently, the precalculated loss estimation data and the two-phase estimation method are used by the China Earthquake Administration.
To realize the fusion of multiple and heterogeneous earthquake disaster information and get effective disaster information, situation and characteristics are addressed on different earthquake disaster information acquiring methods, in which some new earthquake disaster information acquiring methods are described. A fusion architecture of multiple and heterogeneous disaster information is put forward, including data level, fusion level and application level. And function principle of each level is described. Finally key technologies and realization methods in the fusion architecture are expounded, which are transformation and match of multiple disaster information and coding of the information.Index Terms-earthquake disaster information, earthquake emergency, multiple source data, information fusion, GIS
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