摘要
为改善地下采场环境状况,保护作业人员安全与健康,利用灰色聚类模型(GCM),研究山东某金矿地下采场环境质量随采深的变化。监测并调查金矿-30、-70、-110、-150、-190、-230和-300m水平的7个采场中O2、CO2、温度、相对湿度、粉尘、有毒气体、噪声及照度等采场环境指标,研究采场环境中单一指标随采深增加的变化趋势;运用GCM及G1法定权综合评价采场环境并分级;对该矿生产人员进行采场环境主观满意度问卷调查。结果表明:采场综合环境质量等级(EQGs)随采深增加而降低;问卷调查结果与灰色聚类评价结果有较好的一致性。
GCM was applied to research the quality of the environment of a certain gold mine in Shandong as a function of the exploitation depth.Monitoring tests and investigations were carried out on environmental factors,such as O2,CO2,dust,toxie gases,micro-climate,noise and illumination for the mining faces being at exploitation depths of -30,-70,- respectively.Trends in changes of environmental factors in the 110,-150,-190,-230and -300m underground mining faces were analyzed.An assessment of comprehensive environment quality was made for the mining faces via introducing GCM integrated with G1 method for determining the weight values of the environmental factors.A questionnaire survey on subjective satisfaction was carried out into a part of staff of the gold mine.The results show that there is a negative correlation between the environment quality grade (EQGs)of mining face and the exploitation depth of mining face,and obtained findings eoincide with the assessment results via GCM.
作者
张天宝
纪洪广
李颂
ZHANG Tianbao;JI Hongguang;LI Song(School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;Guilaizhuang Mining Co.Ltd.,Shandong Gold Group,Linyi Shandong 273307,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2018年第9期142-147,共6页
China Safety Science Journal
基金
国家重点研发计划项目(2016YFC0600801)
关键词
金矿
采场
环境因素
灰色聚类模型(GCM)
G1法
综合评价
gold mine
mining face
environmental factors
grey clustering model(GCM)
G1 model
comprehensive assessment