<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the rapid development of cities, the research on urban seismic damage prediction should have a breakthrough based on the modern technology. The paper takes Songyuan of Jilin Province as the research object, and creates a spatial database by field data and Baidu maps. We simulate the earthquake by using the seismic intensity algorithm of the point source and the line source, use the spatial analysis method of PHP+GIS to simulate the influence at different earthquake levels on the urban buildings in Songyuan. At the same time, PHP, HTML and dynamic cutting technique were used to evaluate the disaster in 10 minutes after the earthquake. This system will provide technical support for the prevention of earthquake damage in Songyuan.</p>
</abstract>

With the rapid development of cities, the research on urban seismic damage prediction should have a breakthrough based on the modern technology. The paper takes Songyuan of Jilin Province as the research object, and creates a spatial database by field data and Baidu maps. We simulate the earthquake by using the seismic intensity algorithm of the point source and the line source, use the spatial analysis method of PHP+GIS to simulate the influence at different earthquake levels on the urban buildings in Songyuan. At the same time, PHP, HTML and dynamic cutting technique were used to evaluate the disaster in 10 minutes after the earthquake. This system will provide technical support for the prevention of earthquake damage in Songyuan.

Earthquake Damage Predicting System of Songyuan Based on GIS

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Earthquake Damage Predicting System of Songyuan Based on GIS"}

With the rapid development of cities, the research on urban seismic damage prediction should have a breakthrough based on the modern technology. The paper...

Earthquake Damage Predicting System of Songyuan Based on GIS

Pubblicato online: 07 mag 2018

Pagine: 1 - 5

DOI: https://doi.org/10.21307/ijanmc-2018-029

Parole chiave
Earthquake Damage Prediction, Songyuan, Baidu Maps API, Rapid Assessment

© 2018 Su Zhenjiang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

TABLE I.

Figure 4.

Figure 5.

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Figure 7.

Earthquake Damage Predicting System of Songyuan Based on GIS

Pubblicato online: 07 mag 2018

Pagine: 1 - 5

DOI: https://doi.org/10.21307/ijanmc-2018-029

Parole chiaveEarthquake Damage Prediction, Songyuan, Baidu Maps API, Rapid Assessment

© 2018 Su Zhenjiang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

TABLE I.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Parole chiave
Earthquake Damage Prediction, Songyuan, Baidu Maps API, Rapid Assessment