Abstract: Modern ground fissures have became a serious geological hazard widely spread in many countries all over the world. In this paper, hazard causing factors of ground fissures in Yuci City have been analyzed in detail. It is found that the formation and development of ground fissures in Yuci City are controlled mainly by tectonic activity and influenced by some non tectonic factors such as exploitation of underground water, difference in properties of strata, character of landform etc. On the basis of the analysis of each factor of ground fissures in Yuci City, Shanxi Province, the thematic layer in geological sense is established by using Geographic Information System (GIS). This paper introduces how to establish the hazard assessment model and hazard assessment system for ground fissure based on Artificial Neural Network (ANN) and Geographic Information System (GIS). The hazard assessment system consists of five function modules including input module, output module, search and inquire module, assessment module and maintenance module. The function of each module is introduced in this paper. As an example, a nonlinear appraisal model for the hazard of ground fissures in Yuci City based on Artificial Neural Network is introduced. The model is a back propagation ANN model, which has an input layer with four points, a hidden layer with four points, and an output layer with one point. Using this model the ground fissure hazard in Yuci City has been evaluated, and a map of the division of ground fissures risk for Yuci City has been established. This result may provide scientific basis for land planning and construction of Yuci City.

Key words: Ground fissure, Nonlinear simulation, Coupling of multifarious information, Artificial Neural Network (ANN), Geographic Information System (GIS)

摘要： 现代地裂缝在世界许多国家普遍存在,已成为当今世界范围内的主要地质灾害之一.本文在详尽分析了山西榆次地裂缝的各个致灾因子的基础上,利用GIS技术建立了地质学意义上的专题层;然后采用人工神经网络技术构建出了地裂缝灾害活动性的评价模型,并建立了地裂缝活动性的评价系统,对榆次地裂缝进行了灾害活动性评价,为榆次市城建和国土规划等部门的正确决策提供了重要的科学依据.

关键词: 地裂缝, 非线性模拟, 多源信息复合叠加, 人工神经网络, 地理信息系统