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机构地区:[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083
出 处:《河南科技学院学报(自然科学版)》2016年第3期67-71,共5页Journal of Henan Institute of Science and Technology(Natural Science Edition)
基 金:北京市自然科学基金(4142015)
摘 要:在论述灰色聚类法基本原理的基础上,根据2012年3—8月同里古镇4个监测点水质的监测结果,选取COD、COD_(Mn)、BOD_5、TP、TN和NH_3-H等6个指标,利用灰色聚类法对其水质进行评价.结果表明:同里古镇4个监测断面的水质等级全部为Ⅴ级,水质较差;与模糊综合评判法所得结果一致,但是经过实例分析发现灰色聚类法的评价结果综合了所有参数对水质的影响,而且考虑了系统的灰色性和白化程度,评价结果比较合理、客观.On the basis of basic principle of grey clustering method,according to monitoring results of four water quality monitoring section of Tongli town from March to August in 2012,COD_(Mn),BOD_5,COD,TP,TN and NH_3-H six factors was selected to evaluate the water quality using grey clustering method in this paper.The results showed that the Tongli town part with four monitoring cross section of the water quality grade were all in Ⅴ level,water quality was poorer.The results was consistent with fuzzy comprehensive evaluation method,but the evaluation results of grey clustering method was reasonable and objective after example analysis,because the grey clustering method colligates all the parameters influence on water quality,but also considers the degree of grey and bleaching system.
分 类 号:X824[环境科学与工程—环境工程]
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