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1、8IWAInternationalConferenceonWaterEconomics,Statistics,andFinanceRethymno,Greece,8-10July2005SOURCEIDENTIFICATIONOFGROUNDWATERPOLLUTIONWITHTHEAIDOFMULTIVARIATESTATISTICALANALYSISTingNienWu1,Yi-ChuHuang2,Mu-ShengLee3,Chih-MingKao41DepartmentofEnvironmentalEngineering,Ku
2、nShanUniversityofTechnology,949DaWanRoad,Yung-KangCity,TainanHsien710,Taiwan,R.O.C.,wutn@mail.ksut.edu.tw.2DepartmentofEnvironmentalScienceandEngineering,NationalPingtungUniversityofScience&Technology,1HsuehFuRoad,Nei-PuHsiang,PingtungHsien912,Taiwan,R.O.C.3Environment
3、alProtectionBureauofTainanCounty,78,sec2ChangJungRoad,Hsing-YingCity,TainanHsien730,Taiwan,R.O.C.4InstituteofEnvironmentalEngineering,NationalSunYat-senUniversity,70LienHiRoad,KaoshiungCity804,Taiwan,R.O.CABSTRACTWiththeaidofmultivariatestatisticalanalysis,thisstudyatt
4、emptedtoforeseepossibleunderlyingprocesses,attributetheirinfluence,andisolatethedistributionofsourcesthatmightthreatgroundwaterquality.TainanCountywasemployedascasestudy,andthirty-fourmonitoringwellsweresampledforroutinelabanalysis.Labdataofgroundwaterqualityincludingp
5、H,EC,hardness,chloride,sulfate,ammonia,nitrate,Fe,Mn,As,Zn,TOCandTDSweresubjectedtofactorandclusteranalysis.Principalcomponentanalysis(PCA)wasutilizedtoreflectthosechemicaldatawiththegreatestcorrelation,whereasclusteranalysis(CA)wasusedtoevaluatethesimilaritiesofwaterq
6、ualityingroundwatersamples.ByutilizingPCA,theidentifiedfourmajorprincipalcomponents(PCs)representing78.8%ofcumulativevariancewereabletointerpretthemostinformationcontainedinthedata.PC1reflectsthedominanceofsalinization,whichwascharacterizedbytheelevatedconcentrationsof
7、EC,hardness,chlorideandsulfateingroundwater.PC2withthepositiveloadingsofTOCandpHbutnegativeloadingofnitrateisthoughttoberepresentativeoforganicpollutionwithintheaquifer.PC3isregardedasmineralizationfactoronthebasisoftheloadingsofmanganeseandzinc.PC4showsastrongmonotoni
8、crelationshipwithammoniaconcentrationinthegroundwaterrevealingthelinkagewithagriculturalactivity.CAresultsillustrated
