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1、乌鲁木齐市水磨河水环境污染特征及成因分析第6卷第3期2006年6月安全与环境JournalofSafetyandEnvironmentV01.6No,3Jun.2006型难以做到这一点.3)通过建立贴近度优化模型,使得聚类后不同类水质监测点的类间距离增加,而同类水质监测点之间的距离缩小.本文模型得到的最优贴近度向量为u=(0.1912,0,3566,O.0390.0.1573,0,8890,0,8965,0,3934),而文献[1]提供的贴近度向量为u:(1.04,0,83,1,61,l,11.0.40,0.38.0.81)3结论1)内河水质监测点优化布设应该同时考虑水质环境在时
2、间和空间上的变化.这样才能获得优化布设工作需要的较全面的信息;2)动态贴近度模型消除了引入"标准参考点"带来的评价水质监测点排序不一致的问题,定义的贴近度物理意义更加明确;3)贴近度优化模型对最优贴近度计算结果具有放大作用,因而聚类效果明显提高.References(参考文献):[1]GUOXiaoqing(郭小青).Optimizedselectioninwaterqualitymonitor.ingofriverinsidethecitybysimilaritymethodfJ3.BulletinofScienceandTechnology(科技通报),2005,21(3):
3、360.363,[2]LIANGWeizhen(梁伟臻),YEJinnm(叶锦润).Optimizedselectioninwaterqualitymonitoringofriverinsidethecitybycanopyclusteringtechnique[JJ.TheAdministrationandTechniqueofEnvironmentalMonitoring(环境监测管理与技术).2002(6):6-7.[3]WANGJing(王静),Studyonoptimizedselectioninwaterqualitymoni?todngofHuangshuiRive
4、r[J].QinghaiEnvironment(青海环境),2002(3):27.30.[43QINShoukang(秦寿康).Principalandapplicationofcomprehem~iveevaluation(综合评价原理与应用)[M].Beljing:PublishingHouseofElectronicsIndustry,2003.[5]DANGYaoguo(党耀国),LIUShifeng(刘世峰),I,IUBin(刘斌),etalStudyongrayincidencedeciskmmodelofthedynamicmultiple-at.tribute[J
5、].EngineeringScience(中国工程科学).2005,7(2):69.Dynamicsimilarityanditsapplicationtoopti-mizedlayoutinwaterqualitymonitoringofriverZHANGYi—fei."fANGXiao—lan.ZHANGjian(TheSecondInstituteofOceanography,StateOceanicAdministra,tion;HangzhouGuohaiCoastal&OffshoreEngineeringSurvey,De—sign&Researc
6、hInstitute,Hangzhou310012,China)Abstract:Thepresentpaperaimstointrodueetheauthors'newmodelforwaterqualitymonitoring,i.e.,thedynamicsimilaritymethod.Itiswellknownthatthereexisttwomainproblemswiththecurrentmethodsofoptimallayoutforwaterqualitymonitoringgivenbythevariouspaperssofarpublishedathom
7、e.OneisthatonlytIlechangesofwaterqualityinspatialspaceareconsidered,whilethechangesofwaterqualityintimespherearenottakenjntoaccountatal1.rheotherproblemjsthatthephysicalmeaningofthesimilarityachievedseemstobeiudistinctivewhenthevaluetakeninto
