A high number of maritime accidents are caused due to human errors ,which are further influenced by personal factors ,environmental factors ,ship factors and management factors .A general statistical approach can only link maritime accidents to simple human behavior problem ;however ,it cannot further establish the relationship between the human error and other real influencing factors .It is very challenging for researchers to set up the relationship between the human fault and other influencing factors that cause the human error due to the insufficient data ,improper research meth-od ,and limited research which is only confined to the relationship between human error and a single factor .In this paper a model is established by using data mining association rules to analyze the relationship between the human fault and its environment influencing factors .This paper collects 100 domestic and international maritime accident investigation re-ports ,and uses data mining association rules to explore the relationships between human factor and environmental factor . Practices prove that human factor and environmental factor are the major factors causing maritime accidents .%海事事故主要是由人为失误引发的，人为失误又受个人因素、环境因素、船舶因素以及组织因素的影响。一般统计方法只能够初步识别引发海洋事故的人为失误行为，想要进一步建立人为失误和影响因素之间的关系比较困难。利用了数据挖掘中的关联规则技术建立模型，对人为失误与导致因素之间的关系进行分析。以国内外100份海事事故调查报告作为对象，研究出人为失误和环境因素之间的关系。实践表明，人为因素和环境因素是导致海事事故发生的重要因素。
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