聚类分析和标识指数法在苏州城区河道的应用  

APPLICATION OF CLUSTER ANALYSIS AND WATER QUALITY IDENTIFICATION INDEX ON SUZHOU URBAN RIVERS

作　　者：付江波[1] 李新[1] 周静[2] 周维[2] 

机构地区：[1]苏州科技学院环境科学与工程学院,江苏苏州215011 [2]苏州市环境科学研究所,江苏苏州215000

出　　处：《环境工程》2016年第1期103-107,共5页Environmental Engineering

摘　　要：选取2013—2014年苏州市古城区河道8个监测断面的水质监测数据,应用层次聚类分析法和改进的综合水质标识指数法对苏州市古城区河道水质进行综合评价,并对各监测断面综合水质达标率进行计算。结果表明:苏州市古城区主河道水质在2013年5月份后明显好转,但小河道水质改善较小;在空间上呈现出城北河道水质较城南好,纵向河道水质比横向好的特点。根据评价结果与实际工程情况对比发现,层次聚类分析和水质标识指数法可以有效、准确地对城区河道水质进行总体评价。Cluster analysis and improved water quality identification index were applied in comprehensive evaluating river water quality in ancient city of Suzhou from 2013 to 2014 based on the measured data at eight water quality monitoring points.Then the paper calculated the comprehensive water quality compliance rate of each monitoring section. The results showed that： Water quality of main rivers in the ancient town of Suzhou had been significantly improved after May in 2013,however,water quality of small rivers was still bad. River water quality in the north of city was better than that in the south of the city,water quality in the longitudinal river was better than that in the lateral river. Comparative results of the evaluation results and the actual situation of the project showed that hierarchical clustering analysis and water quality identification index could effectively and accurately evaluate the overall water quality of urban rivers.

关 键 词：古城区河道 层次聚类 水质标识指数法 达标率 

分 类 号：X824[环境科学与工程—环境工程]