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Research and application of mineral resources assessment by weights of evidence model based on SIG

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Research and application of mineral resources assessment by weights of evidence model based on SIG

    Research and application of mineral

    resources assessment by weights of

    evidence model based on SIG

    GlobalGeology,9(1):109114(2006)

    ArticleID:10080503(2006)01010906

    Researchandapplicationofmineralresourcesassessment

    byweightsofevidencemodelbasedonSIG

    YuanyuanChuai,KeyanXiao2,YihuaXuan,ShaobinZhan.

    1.InstituteofMineralResourcesPrognosisofSyntheticInformationofJilinUniversity,Changchun130026,Jilin,China

    2.InstituteofMineralResources,ChineseAcademyofGeologicalSciences,Be(iing100037,China

    3.CollegeofGeo-ExplorationofScienceandTechnology,JilinUniversity,Changchun130026,China

    Abstract:GeolcIgicaldataareusuallyofthecharacteristicsofmulti.source.1argeamountandmultiscale.The

    constructionofSpatialInformationGridovercomestheshortagesofpersonalcomputerswhendealingwithgeo

    logicaldata.Theauthorsintroducethedefinition.architectureandflowofmineralresourcesassessmentby

    weightsofevidencemodelbasedonSpatialInformationGrid(SIG).Meanwhile,acasestudyontheprediction

    ofcoppermineraloccurrenceintheMiddle

    LowerYangtzemetallogenicbeltisgiven.Theresultsshowthat

    mineralresourcesassessementbasedonSIGisaneffectivenewmethodwhichprovidesawayofsharingandin

tegratingdistributedgeospatialinformationandimprovestheefficiencygreatly.

    Keywords:SIG;weightsofevidencemodel;mineralresourcesassessment

    Introduction

    Mineralresourcesassessmentisanimportant topicingeologyandminefields.Traditionalmineral resourcesassessmentprocesscanbesummarizedas: projectestablishment,datacollection,modelingand assessment.Usuallydatacollectionisthemostdiffi

    cultphase.Geologistshavetogohereandtherefor acquiringallkindsofgeologicaldata.whichisase- verewasteoftimeandmoney.T0updateresearch productionswiththelatestgeologysurveytechnolo

    gYisevenharder.Meanwhile,itlimitsusersto shareinassessmentdatabecausetraditionalflssess

    mentsoftwareonlyrunsonpersonaloperatingsys

    temorLAN.

    TheconstructionandrealizationofSpatialIn

    formationGrid(SIG)providesaneffectivewayto solvetheproblemsabove.SIGplatformprovideseft

    pabilitiesrangingfromintegratedresourcemanage

    mentfunctionstodatabaseintegration,computing services,security,downloadmanagement,and problemdetermination.Assessmentbytheweights ofevidencemodel(WEM)basedonSIGiseasyto beone-stopimplementedonline.Comparedwithtra

    ditionalmethod.thenewoneismuchfasterandal

    mostsameinaccuracy.

    Theremainderofthepaperisorganizedasfol? lows.Insection2.wediscussindetailtherelated Received7March,2006;receivedinrevisedform4ApriJ,2006

SupportedbytheNationalHighTechnologyResearchandDevelopmentProgramofChina(8

    63Program)Nos.2002AA134010and2002AA131010

110Y.Y.Chuai,K.Y.Xiao,Y.H.Xuan,etal

    knowledgeaboutSIGtechnology.Insection3,a casestudyonthepredictionofCoppermineraloccur

    renceintheMiddleLowerYangtzemetallogenicbelt

    isgiven.Insection4,someconclusionsandexpecta

    tionsaregiven.

    1SlGTechnology

    1.1Definition0fSIG

    SpatialInformationGrid(SIG)isaninfrastruc tureandframeworkwhichenableustoshareandin. tegrate1argescale,heterogeneous.distributedspa. tialresourcesacrossdynamicInternetenvironment. toorganizeandmanagespatialresourcessystemati. cally.

    SIGisserviceoriented.AndSIGtechnologies

    andinfrastructuressupportcommunicationandcoor. dinateduseofdiVerseresourcesindynamic,dis

    tributedvirtualorganizations.Itensuresanvusert0 obtainexactlygeospatialdataandmeetsuser'sneeds ondemand.

    1.2Architectureofassessmentsystem

    Thearchitectureofassessmentsystemby

    weightsofevidencemodelbasedonSIGisa3-1aver framework(seeinFig.1).

    DataLayer:Providesnecessarydataforassess. ment,includinggeospatia1database.minera1re sourcesassessmentintegrateddatabase,typicalgeo.

    physicalspectraldatabaseandrem0te1vsense database.

    Thesespatialdatabasesareinthedistributi0nof nodesanddataaredistributed.

    Theyconnectwith

    eachotherthroughInternet.

    Itistheessentia1dif.

    ferencebetweenSIGwithtraditiona1meth0d. DataAnalysisandProcessingLayer:Provides datastore'management,integrationandvisiting services,includingmainlydatamanagingmodule, analysisandprocessingmoduleandalessmentc0m. putingmodule.

    Theprimaryfunction

    istoupload.downloadand

    ofdatamanagingmodule

    login.1ogoutspatialdata,

    whichcanberealizedbyuploaddownloadservice

    andloginlogoutservice.Forinstance.theMiddle

    LowerYangtzemetallogenicbeltdataarenearly 100G.Usingtraditionalmethod,itneeds.spending 1yearonupdating10%ofdata;itneedsonly1 monthtoupdatethesedatainSIG.

    Mineralresourceassessmentbyweightsofevidencemodel CellsllColorblockllCellsupdatellProductionf ormationl_mapservi'cellservi'cellissueservice Assessment{ApriorityllWeightsoflPosteriorl computinglprobabilityllevidencelprobabilityl An~ysisandlDaladetectionflNodestatus{ prooesst'nglserv'ice_Ilistening}

DaIafSpatialdatallSpatialdatal

    managinglupload&downloJllogin&logoutl 叵叵

    匪…'

    NodeANodeN

    Fig.1Assessmentsystemarchitecture

    Analysisandprocessingmoduleismainlycom. posedofdatadetectionserviceandnodestatuslisten. ingservice.Module'sprimaryfunctionistopredict nodestatuscorrectlysothatuserscanidentifynode dataandobtainexactlyassessmentdatathroughdata router.

    Thefunctionofassessmentcomputingmoduleis realizedbyapriorityprobabilityservice.weights-0f evidenceserviceandposteriorprobabilityservice. Afterassessmentdataprocessinginthismodute, apriofityprobabilityvalue,weightsofevidencevalue andposteriorprobabilityvalueofeachelementwill beavailablefortheuser.Theparallelcomputationis doneoneachnodeserverandonlycalculationresults willreturntheclient.Itlightenstheburdenof serverscomparedwiththatallcalculationworkis completedononeserver.Meanwhile,itshortens calculationtime.

Researchandapplicationofmineralre&ourcesassessmentbyweightsofevidencemod

    elbasedonSIG

    ApplicationLayer:Accordingtoposteriorprob

    abilityvalue,systemprovidesacolorfulpotential mapofstudyareaforusers.Systemwilldivideeach

    element'SposteriorprobabilityvalueintoTlevels, whereTiSequaltoblockdelaminationvaluetheuser sets.Akindofcolorexpressesonelevelofposterior probabilityvalue.Thehyperlinkleadingtodown

    loadthepotentialmapiSalsoavailablethere. Cellsformationservice,colorblockmapser

    vice,cellsupdateserviceandproductionsissueser

    viceinthislayercancompleteallthesefunctions above.

    1.3Flowofassessment

    Accordingtothearchitecturegivenabove,the flowofonstopmineralresourcesassessmentby weightsofevidencemodelcanbeillustratedasfol

    lows(seeFig.2).

    Datacollection

    1r

    Datapreprocessing

    Relatedmapspreparation

    

    fGeospatialdatabase]IDataissuing--\/

    _

    ?'r

    OreformingSpatialanalysisOre-formingInternet conditionsanalyssawsresearch

    1,I,:k+,,r……^1:

    I?若?………?~儿…"

    lT1一…?:一…f一一f一…一一一』

    Se.

    +IinformlntelCLparanaetersB/Smode1reSoBrCes reSOUrCeS

.

    aSSeSSnent

    aSSeSSlnenSVSLC1IlUI

    culatingand..--一一-------

    CAGSsvstem-A

    13o

    .

    te

    .

    ntl

    l11

    al

    .

    e

    n

    valuation

    /一一:1Satisfied1u…………ReSBItsanaYSIS /

    Drawprospectiveregionsandtargetregions

    Drawprognosismetallogenetic111ap 2Casestudy

    Fig.2Flowchartofevaluation WetakethefamousMiddleLowerYangtze

    metallogenicbeltinChinaasanexampleforCopper

    depositprognosis.Theoperabilityandpracticalval

    ueofthenewmethodisseverelytestedandcon

    112Y.Y.Chuai,K.Y.Xiao,Y.H.Xuan,etal firmed.

    2.1Naturalconditionsinstudyarea

TheMiddleLowerYangtzeRivermetallogenic

    beltrunsthoughtheprovincesofHubei,Jiangxi, AnhuiandJiangsuineasternChina,andconsistsof morethan200economicmetaldeposits.Situatedon theeasternsideofYangtzetectonicsandbetweenthe NorthChinatectonicsandJiangnanrise,thestudy areaisconfinedtolongitude113.00'-121.21Eand latitude29.02.32.40N.withanarea0fapproxi

    mately125,O00km2.

    Wechoosetheadvantageoreinstudyarea

    Coppermineastheobject.

    2.2DeploymentinSIG

    Currently,thenodeisdeployedonserverin Beijingandfoursubnodes,whichareJiangsu

    node,Anhuinode,JiangXinodeandHubeinode, aredeployedonserverineachprovince.Meanwhile, geologicaldatabaseandservicesafedeployedoneach server(seeFig.3).

    Fig.3DeploymentmapofSIG

    2.3Implementationprocess

    2?3?1Datapreparation

    Datainstudyareaarefromfouracademiesof geologicalscience,whicharegeneratedaccordingto Theologyofevaluationonmineralresources,in. cluding1/500,000geographicbasemaps,geological basemaps,remotelysensemaps,geophysicaland geochemicalmaps,etc.

    2.3.2Spatialanalysis

    Onthebaseoforeforminggeologicalconstruc-

    tionenvironmentandlaws,dataspatialanalysisis

    thekevsteptOextractusefulinformationandbuild weightsofevidencemode1.Itismainlycomposedof ?typicalmineralareasore-forminglawsanalysis;?

    aSsessmentparameterssetting;?bufferanalysis;?

    spatialoverlayanalysis(XiaoZJeta1.,2006). jl_l1Kl;

    i};i},}I;.

    }

    *}

Researchandapplicationofmineralresourcesassessmentbyweightsofevidencemodelbase

    donSIG

    2.3.3Modelingandparameterssetting

    Inaccordancewiththeselectionofprognosisin dicatlons,thereare12evidentialmapsinvolvedin assessment:

    (I)ironbedandintrusionmaps;2evidential maps

    (2)gold,lead,copper,zincgeophysicalanoma

    lymaps;4evidentialmaps

    (3)magneticanomaly,gravityanomaly,the geophysicalandgeochemicallinearstructuresmaps; 4evidentialmaps

    (4)Thelinearandcirclestructuresmapsinter

    pretedbyremotelysensed;2evidentialmaps 2.3.4Gridcellsdivision

    Gridcellsaredevisedbythegridmethod+The calculationformulaofcellsizeisS=Researcharea/ thenumberofmineraldeposits/40,whichdefined inWEMmoduleofARCVIEWsoftware(Geological

SurveyofCanada).Alsoconsideringactualgeologi

    calconditions.thesetareaofeachelementiS15km *15km.

    2.3.5Calculatingposteriorprobabilityvalue Tab.1summariestheweightsandcontrastre

    suitscalculatedforweightsofevidencemodelonSIG platform.Allofthel2evidentialmapshaverelative highcontrast(greaterthan.5)values.Theyareeli

    gibletobeappliedinweightsofevidencemode1. 2.3.6Assessmentresults

    Consideringgeologicalmetallogeniclaws,we draw56coppermineralprognosisregions,including 26prospectiveregionsofgrade..4and30ore,. prospectingtargetregionsofgrade5,asshownin

    Fig.4.Bycontrastwithotherrelativeresearches,it iSconcludedthatthepredictionresultiScredible. 3Conclusion

    Thepaperintroducesthestudyandapplication ofmineralresourcesassessmentbasedonSIGinde

    tail.Thenewmethodrealizesacquiring,organizing, dispensingandanalyzinggeospatialinformationin

    tellectively,whichhashavethecharacteristicsofon

    stopassessment.Itshortenstheperiodofassess ment.improvestheefficiencygreatlyandprovidesa newmethodfortraditionalmineralresourcesassess

    ment

    Table1Summaryofevidentialmapsdefinedbyweightsofevidencemodel

114Y.Y.Chuai,K.Y.Xiao,Y.H.Xuan,etal

    References

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