摘要
应用模糊模式识别方法对阜新新邱露天煤矿排土场附近(于家沟),地下水污染区的水质监测点分类优选问题进行了研究,对研究区内的12眼水井分别采样,进行水质分析,识别出总硬度、硫酸盐、氯化物、溶解性总固体等主要污染因子;进而采用模糊模式识别方法,对区内的12个监测点进行了优化。计算结果表明:可从于家沟地下水污染区的12个监测点中选取具有代表性的3、7、11号监测点进行监测,节省了人力、物力及资源。
By using fuzzy pattern recognition method, the problem of water quality monitoring point classified optimization was studied in Yujiagou area where groung water had been contaminated by leachate of the dumping area of Open Pit Coal Mine of Xinqiu in Fuxin,the samples were taken from 12 water wells in the studied area and were analyzed so as to recognize the main pollutants, such as total hardness, the sulfate, the chloride, the soluble total solid and so on. Then, by making use of the fuzzy pattern recognition, the monitoring points were classified to choose from 12 monitoring points. The research results indicate that in the studiedarea, the 3th、7th,and11th monitoring points can be selected as representative points from the 12 monitoring points to monitor so that a lot of manpower and the resources are saved.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2005年第z1期241-243,共3页
Journal of Liaoning Technical University (Natural Science)
基金
辽宁工程技术大学校基金资助项目(02-36)
关键词
模糊模式识别
监测点
分类优选
污染因子
fuzzy pattern recognition
monitoring point
classified optimization
pollutant
