铀矿井下作业环境的改进灰色关联评价模型及应用  

Improved grey relational evaluation model for working environment in uranium mines and its application

作　　者：王淑云[1] 方井 匡雅 谭雄[1,2] 叶勇军[1] 谢超[1] 

机构地区：[1]南华大学环境保护与安全工程学院 [2]中核韶关锦原铀业有限公司,广东韶关512328

出　　处：《中国安全科学学报》2014年第7期63-69,共7页China Safety Science Journal

基　　金：湖南省科技厅科技计划项目(2011SK3085);国家安全生产监督管理总局2013年安全生产重大事故防治关键技术科技项目(湖南省6);衡阳市科技局科技计划项目(2014KS18)

摘　　要：为科学合理评价铀矿井下作业环境质量,通过对国内3个铀矿的调查,分析影响铀矿井下作业环境质量的主要因素。确定氡、氡子体、铀矿尘、微气候、CO、NO2、噪声和照明等8个因素为评价指标,采用湿卡他度作为微气候的评价指标,构建铀矿井下作业环境安全评价指标体系;采用G1法和改进灰色关联分析法(GRA)相结合的综合评价方法建立评价模型,并运用该模型对南方某铀矿井下5个采场作业环境进行安全综合评价。结果表明,B采场、D采场的作业环境质量为良,A采场、C采场的为中,E采场的为合格,评价结果符合矿井实际情况。To evaluate the quality of working environment in underground uranium mine scientifically, main work environment influence factors were analyzed firstly through field investigation into 3 uranium mines in southeast China. It＇s realized that radon and it＇s daughters, mine dust, microclimate, carbon monoxide, nitrogen dioxide, noise and light are eight principal factors influencing working environment quality. Wet Kata Degree was used as an index for evaluating the microclimate. Then a reasonable safety evaluation index system was set up for working environment in uranium mine. A safety evaluation model was built for environment based on improved GRA method and G1 methord. The model was used to evaluate the work environment in a certain uranium mine in China. The evaluation results conform to reality.

关 键 词：铀矿井 作业环境 G1法 改进灰色关联分析法(GRA) 安全评价 

分 类 号：X913.4[环境科学与工程—安全科学]