GIS技术和神经网络模型在地震地质灾害小区划中的应用研究

RESEARCH ON GIS AND NEURAL NETWORK APPLING IN MICROZONATION OF SEISMIC GEOLOGICAL DISASTER

摘要:

在前人对地震地质灾害小区划研究的基础上,以甘肃省景泰县城为实例,综合地震地质、地形地貌、活动断裂和场地条件等资料,利用地理信息系统技术和神经网络模型进行地震地质灾害小区划分类.结果表明该方法使以前定性的各类指标尽可能定量化,实现了计算机自动成图,提高了工作效率,结果更加准确直观.

Abstract:

On the bases of predecessors's research work and comprehensively analyzing the seismic geology, topographic features, active faults and site factors, the microzonation of seismic geological disaster for Jingtai town, Gansu province, is down by using the technique of GIS and neural network model. The result shows that the method turns previous qualitative indexes into quantitative one, and realizes computer drawing figure automatically. The work outcome can be showed accurately and directly.