引用本文:CUI Hai bo,YIN Yong quan*,CUI Zhao jie,WU De hua,JIA Xue qing,LIU Yu.Application of the Dynamic Similarity Method in Optimization of Water Quality Monitoring Sites of the Mainstream of the Tuhaihe River[J].Environmental Monitoring and Forewarning,2015,7(3):17~21
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动态贴近度法在徒骇河干流水质监测点优化中的应用
崔海波,殷永泉*,崔兆杰,吴德华,贾雪清,刘瑜
山东大学环境科学与工程学院,山东 济南 250100
摘要:
根据2010—2012年的COD、BOD5、NH3-N、TP和Cr6+的例行监测数据,采用动态贴近度法,对徒骇河干流13个监测点进行优化。分别计算丰水期、平水期和枯水期的最优点和最劣点的距离,从而计算出最优贴近度值。利用t检验和F检验对优化结果进行准确度和精确度检验,结果表明,优化后的8个监测点的监测数据可以代表整个干流的水质状况。
关键词:  动态贴近度法;优化布点;t检验;F检验  徒骇河干流
DOI:
分类号:X832
基金项目:
Application of the Dynamic Similarity Method in Optimization of Water Quality Monitoring Sites of the Mainstream of the Tuhaihe River
CUI Hai bo,YIN Yong quan*,CUI Zhao jie,WU De hua,JIA Xue qing,LIU Yu
School of Environmental Science and Engineering,Shandong University,Jinan,Shandong 250100,China
Abstract:
In order to properly set up water quality monitoring sections for the mainstream of the Tuhaihe River,the dynamic similarity method was used to optimize a total of 13 water quality monitoring sites along the river based on the monitoring data of COD,BOD5,NH3 N,TP,and Cr6+ from 2010 to 2012. The optimal similarity was calculated by computing the distances between the optimum sites and the worst sites during the abundant water period,normal water period,and low water period. To test the accuracy and precision of the measurements,the optimization results were verified by the T test and F test. The results showed that 8 out of the 13 monitoring sites that were optimized were able to reflect the water quality of the mainstream of the Tuhaihe River,and that the dynamic similarity method was feasible to optimize the water quality monitoring sites of the river.
Key words:  Dynamic similarity method  Optimized site  t-test  F-test  Mainstream of the Tuhaihe River