A quick earthquake disaster loss assessment method supported by dasymetric data for emergency response in China

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 pre-calculate 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 pre-calculated loss estimation data and the two-phase estimation method are used by the China Earthquake Administration.

Download Full-text

A dasymetric data supported earthquake disaster loss quick assessment method for emergency response in China

Natural Hazards and Earth System Sciences Discussions ◽

10.5194/nhessd-3-1473-2015 ◽

2015 ◽

Vol 3 (2) ◽

pp. 1473-1510 ◽

Cited By ~ 2

Author(s):

J. Xu ◽

J. An ◽

G. Nie

Keyword(s):

Emergency Response ◽

Estimation Method ◽

Seismic Intensity ◽

Loss Estimation ◽

Two Phase ◽

Earthquake Disaster ◽

Disaster Loss ◽

Intensity Field ◽

Earthquake Loss ◽

Speed And Accuracy

Abstract. Improving earthquake disaster loss estimation speed and accuracy is one of 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 two-phase 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 pre-calculate the earthquake loss related to different seismic intensities and store them in a 30'' × 30'' grid format, which has four stages: determining the earthquake loss calculation factor, gridding possible damage matrixes, the building damage calculation and the people loss calculation. The dasymetric map approach makes this possible. 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 disaster loss from pre-calculated loss estimation data to obtain the final estimation results. The method is validated by four actual earthquakes that occurred in China. The method not only significant improves the speed and accuracy of loss estimation, but gives spatial distribution for the loss, 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 happen. Currently, the pre-calculated loss estimation data and the two-phase estimation method are used by the China Earthquake Administration.

Download Full-text

The Design and Implementation of Urban Earthquake Disaster Loss Evaluation and Emergency Response Decision Support Systems Based on ArcGIS

2006 IEEE International Symposium on Geoscience and Remote Sensing ◽

10.1109/igarss.2006.229 ◽

2006 ◽

Cited By ~ 3

Author(s):

Y. Kun ◽

X. Quan-Li ◽

P. Shuang-Yun ◽

C. Yan-Bo

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Emergency Response ◽

Support Systems ◽

Earthquake Disaster ◽

Design And Implementation ◽

Disaster Loss ◽

Response Decision

Download Full-text

The design and implementation of urban earthquake disaster loss evaluation and emergency response decision support systems based on GIS

10.1117/12.812993 ◽

2008 ◽

Cited By ~ 1

Author(s):

Kun Yang ◽

Quan-li Xu ◽

Shuang-yun Peng ◽

Yan-bo Cao

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Emergency Response ◽

Support Systems ◽

Earthquake Disaster ◽

Design And Implementation ◽

Disaster Loss ◽

Response Decision

Download Full-text

ELER software – a new tool for urban earthquake loss assessment

Natural Hazards and Earth System Science ◽

10.5194/nhess-10-2677-2010 ◽

2010 ◽

Vol 10 (12) ◽

pp. 2677-2696 ◽

Cited By ~ 45

Author(s):

U. Hancilar ◽

C. Tuzun ◽

C. Yenidogan ◽

M. Erdik

Keyword(s):

Emergency Response ◽

Response Spectrum ◽

Public Information ◽

Building Damage ◽

Loss Estimation ◽

Loss Assessment ◽

Rapid Loss ◽

Spectrum Method ◽

Earthquake Loss ◽

Level 2

Abstract. Rapid loss estimation after potentially damaging earthquakes is critical for effective emergency response and public information. A methodology and software package, ELER-Earthquake Loss Estimation Routine, for rapid estimation of earthquake shaking and losses throughout the Euro-Mediterranean region was developed under the Joint Research Activity-3 (JRA3) of the EC FP6 Project entitled "Network of Research Infrastructures for European Seismology-NERIES". Recently, a new version (v2.0) of ELER software has been released. The multi-level methodology developed is capable of incorporating regional variability and uncertainty originating from ground motion predictions, fault finiteness, site modifications, inventory of physical and social elements subjected to earthquake hazard and the associated vulnerability relationships. Although primarily intended for quasi real-time estimation of earthquake shaking and losses, the routine is also equally capable of incorporating scenario-based earthquake loss assessments. This paper introduces the urban earthquake loss assessment module (Level 2) of the ELER software which makes use of the most detailed inventory databases of physical and social elements at risk in combination with the analytical vulnerability relationships and building damage-related casualty vulnerability models for the estimation of building damage and casualty distributions, respectively. Spectral capacity-based loss assessment methodology and its vital components are presented. The analysis methods of the Level 2 module, i.e. Capacity Spectrum Method (ATC-40, 1996), Modified Acceleration-Displacement Response Spectrum Method (FEMA 440, 2005), Reduction Factor Method (Fajfar, 2000) and Coefficient Method (ASCE 41-06, 2006), are applied to the selected building types for validation and verification purposes. The damage estimates are compared to the results obtained from the other studies available in the literature, i.e. SELENA v4.0 (Molina et al., 2008) and ATC-55 (Yang, 2005). An urban loss assessment exercise for a scenario earthquake for the city of Istanbul is conducted and physical and social losses are presented. Damage to the urban environment is compared to the results obtained from similar software, i.e. KOERILoss (KOERI, 2002) and DBELA (Crowley et al., 2004). The European rapid loss estimation tool is expected to help enable effective emergency response, on both local and global level, as well as public information.

Download Full-text