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基于AI和GIS的地震危险性分析方法在太原-临汾地区地震区划中的应用
引用本文:陶夏新,张明宇,郑广芬,左惠强. 基于AI和GIS的地震危险性分析方法在太原-临汾地区地震区划中的应用[J]. 中国地震, 1996, 0(Z1)
作者姓名:陶夏新  张明宇  郑广芬  左惠强
作者单位:国家地震局工程力学研究所
基金项目:国家地震局85070102课题
摘    要:作为不同区划方法编图结果对比分析研究的方案之一,本文介绍了基于人工智能技术(AI)的地震危险性智能辅助评估系统(SHES)和基于地理信息系统(GIS)的地震构造信息系统(STIS)联合应用于太原-临汾地区地震区划的结果。为了对比分析衰减关系的影响,编图中也采用了借助误差向后传播算法建立的地震烈度衰减关系。

关 键 词:人工神经元网络,地理信息系统,地震烈度区划

Application of an AI and GIS Based Seismic Hazard Assesment Procedure to Seismic Zonation of Taiyuan-Linfen Region Taiyuan-Linfen Region
Tao Xiaxin, Zhang Mingyu, Zheng Guangfen, Zuo Huiqiang. Application of an AI and GIS Based Seismic Hazard Assesment Procedure to Seismic Zonation of Taiyuan-Linfen Region Taiyuan-Linfen Region[J]. Earthquake Research in China, 1996, 0(Z1)
Authors:Tao Xiaxin   Zhang Mingyu   Zheng Guangfen   Zuo Huiqiang
Abstract:As one of the comparison researching plans of mapping results using rarious zoning methods, this paper introduces the result that a Seismic Hazard intelligent assistant Expert System (SHES) based on Artificial Intelligence (AI) and the Seismic Tectonic Information System (STIS) based on Geographic Information System (GIS) were applied together to the earthquake zoning in Taiyuan-Linfen region. For comparing and analyzing the influence of attenuation relationship, the attenuation relationship of earthquake intensity created by the error back propagation approach was adopted in mapping.
Keywords:Artificial neuron network   Geographic information system   Seismic intensity regionalization  
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