矿业是我国重要的基础产业，改革开放以来，国内许多地区凭借矿产资源优势，积极发展矿业经济，促进了地方经济的快速发展。然而，高强度的矿产资源开发却在不断引发崩塌、滑坡、泥石流等地质灾害，严重损害了矿区的生态环境。尤其是以采矿弃渣为主要物源的矿山泥石流灾害，时刻威胁着矿山企业及山区居民的生命与财产安全。为了有效的防控和治理矿山泥石流灾害，促进矿山安全生产和社会和谐发展，科学地开展矿山泥石流危险性综合评价工作无疑具有重要的理论与现实意义。 论文以陕西凤县铅锌矿区为例，在野外系统调查基础上，对区内矿山泥石流的形成条件和分布规律进行了详细分析。建立了一套评价矿山泥石流危险性的指标体系，完成全部评价指标的量化赋值。并采用灰色关联分析法实现了指标系统的优化筛选，获得了影响矿山泥石流的主控因素。 针对现行评价数学模型所存在的局限性，作者将人工神经网络与免疫遗传算法相结合，提出了综合评价矿山泥石流危险性的非线性数学模型。借助面向对象的程序设计工具Visual Basic 6.0和Access 2000数据库技术，开发了“基于遗传神经网络的矿山泥石流危险性综合评价系统”，并利用该软件系统实现了矿山泥石流危险性的综合评价，验证了软件系统的正确性和可靠性，提高了矿山泥石流危险性评价工作的效率和准确度。

Mining industry is an important basic industry in our country. Since the reform and opening up, many domestic areas rely on the mineral resource superiority to develop the mining industry economy positively, and have promoted the local economy fast development. However, high strength mineral resource development actually is initiating geological disasters unceasingly , such as avalanche, landslide and debris flow . It has seriously damaged the ecological environment of the mining area . Especially the mine debris flow disaster which take mining dregs as the principal matter source, it is threatening the mine enterprise and the life and property security of the resident in mountainous area frequently . For effectively prevention and control and government mine debris flow disaster, and promotion mine safety production and social harmonious development, it has the important theory and practical significance to develop the synthetic risk assessment work for mine debris flow scientifically. The paper takes the lead-zinc mining area in Shanxi Feng County as an example.Based on the systematical investigation in field, the paper has carried on detailed analysis to the formation conditions and distribution rules of mine debris flow. Secondly, the paper has established an indicator system to assessment the risk of mine debris flow and finished the quantification of all the assessment indicators, the paper has used the grey relational analysis method to realize optimized screening the indicator system and obtained the main controlling factors which is the influence of mine debris flow. According to the limitation of the present assessment mathematical models, the author combined with the artificial neural networks and the immunity genetic algorithm, proposed the nonlinear mathematical model to synthetic risk assessment for mine debris flow . With the aid of object-oriented programming tool Visual Basic 6.0 and Access 2000 database technology , the Mine Debris Flow Risk Synthetic Assessment System is developed and used to realize the synthetic risk assessment for mine debris flow. It has been confirmed that the software is accuracy and reliability. It has raised the efficiency and accurate degree of the mine debris flow risk assessment exercise.