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2 个结果
  • 简介:Bothinorganicandorganicpillaredmontmorilloniteswereusedtoadsorbphenol.BatchkineticsandisothermstudieswerecarriedouttoevaluatetheeffectofequilibriumtimeandpHonadsorptionofphenolbymontmorillouitesandre-adsorbingcharacteristicsofpillaredmontmorillonites.TheadsorptionofphenolincreasedwithincreasingsolutionpHvalues.Theeliminationratioofphenolfromthesolutionbytheabsorptionoforganicmodifiedpillaredmontmorillonite(OrPMt)reachedequilibriumquicklyaftervibratingfor5minutes.Meanwhilefororganicmontmorillonite(OrMt),pillaredmontmorillouite(PMt)andmontmorillonite(Mt),thetimetoreachphenol-absorptionequilibriumwere20,30and90minutes,respectively.Theadsorbingcapacityofthepillaredmontmorillonitemodifiedwithsurfactantimprovedgreatly.Thephenol-adsorbingcapacityofpillaredmontmorillonitesmainlydependedonmicroporousstructureandsurfacecomponentofthemodifiedclays.Aftercalcinationat500℃,thepillarstructureandthebasalspacing(1.83nm)werestillstable.Sothepillaredmontmorillonitecouldberecycled,anditwasapotentialmaterialforadsorbingenvironmentalpollutants.

  • 标签: 吸收 苯酚柱状 蒙脱石 有机物 无机物 环境污染
  • 简介:Thispaperusingfinitedifferenceschemeforthenumericalsolutionofadvection-dispersionequationdevelopsaone-dimensionalwaterqualitymodel.ThemodelalgorithmhassomemodificationoverothersteadystatemodelsincludingQUAL2E,whichhavebeenusedsteadystateimplementationofimplicitbackward-differencenumericalscheme.Thecomputerprograminthedevelopedmodelcontainsaspecialunsteadystateimplementationoffourpointimplicitupwindnumericalschemesusingdoublesweepmethod.Thesuperiorityofthismethodinthemodelingprocedureresultsthesimulationefficacyundersimplifiedconditionsofeffluentdischargefrompointandnon-pointsources.Themodelishelpfulforeyeviewassessmentofdegreeofinteractionbetweenmodelvariablesforstrategicplanningpurposes.ThemodelhasbeenappliedforthewaterqualitysimulationoftheHanjiangRiverbasinusingflowcomputationmodel.Modelsimulationresultshaveshownthepollutantsprediction,dispersionandimpactontheexistingwaterquality.Modeltestshowsthemodelvaliditycomparingwithothersophisticatedmodels.Sensitivityanalysiswasperformedtooverviewthemostsensitiveparametersfollowedbycalibrationandverificationprocess.

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