Earthquake Damage Predicting System of Songyuan Based on GIS
Authors
Su Zhenjiang, Huang Meng, Xie Shaohui, Zhang Dian, Wang Zhe
Corresponding Author
Su Zhenjiang
Available Online April 2018.
- DOI
- 10.2991/icsnce-18.2018.4How to use a DOI?
- Keywords
- Earthquake Damage Prediction; Songyuan; Baidu Maps API; Rapid Assessment
- 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.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Su Zhenjiang AU - Huang Meng AU - Xie Shaohui AU - Zhang Dian AU - Wang Zhe PY - 2018/04 DA - 2018/04 TI - Earthquake Damage Predicting System of Songyuan Based on GIS BT - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018) PB - Atlantis Press SP - 15 EP - 19 SN - 2352-538X UR - https://doi.org/10.2991/icsnce-18.2018.4 DO - 10.2991/icsnce-18.2018.4 ID - Zhenjiang2018/04 ER -