PDMDAAC改性粉煤灰吸附处理含油废水实验研究姚乐

9　22　2009111671-1819(2009)22-6926-04　　　　　　　ScienceTechnologyandEngineering　Vol.9　No.22　Nov.2009　2009　Sci.Tech.Engng.PDMDAAC改性粉煤灰吸附处理含油废水实验研究姚　乐(,113001)摘　要　采用改性粉煤灰吸附处理含油废水,并研究了改性粉煤灰在不同条件下对含油废水的处理能力。结果表明:改性粉煤灰用量为100g/L;吸附平衡时间90min;废水pH10,去除率可达96%以上。改性粉煤灰对油的吸附符合Freundlich模型。关键词　改性粉煤灰　　吸附　　含油废水中图法分类号　X703.5;　　　　文献标志码　B2009825:　(1975—),,,,:。　　。30%。,,,,,,[1]。,。,、、、[2,3]。,,,。,、、。,、、、,,,,。1　材料及方法1.1　:FA—2004N;UV—751;pHS—25。:;NaOH;(PDMDAAC)。1.2　,(),1。1　　SiO2Al2O3Fe2O3CaOMgO%51.616.113.14.83.211.2　　:100,500gPDMDAAC,(35～50)℃,2h,,48,100,PDMDAAC[4]。2　测量方法2.1　,150mg/L;,,,24h,.600mg/L。2.2　,100mL,(120r/min),pH、、,。(256nm)。650mL2.5、5.0、10.0、15.0、20.0、25.0mL,50mL,,,。,,,,。η。η=(ρ0-ρe)ρ0×100%;Qe=V(ρ0-ρe)W。:ρ0,mg/L;ρe,mg/L;W,g;V,L;Qe,mg/g。3　结果与讨论3.1　,20.0,40.0,60.0,80.0,100.0,120.0g/L,,1。1　1,。100g/L,,100g/L。3.2　pH,10g,100mL,pH2、4、6、8、10、12,,。2。2　pH42,;pH10,,96%。,、,、,。,H+,。,Al3+、Fe3+,。3.2　,,、pH、、。,。3.2.1　正交实验设计,,。150mg/L100mL,692722　:PDMDAAC　(A)、(B)、pH(C)3,3。33,、2。2　123(A)/g2.06.010.0(B)/min306090PH(C)68103.2.2　结果与分析L9(33),3。3　ABC/%111181.9212289.1313390.8421292.7522387.4623190.4731396.6832191.7933295.1K1261.8271.2264K2270.5268.2276.9K3283.4276.3274.8R21.68.112.9　　,:ACB,,pH,。:A3B3C2,10g(100g/L),90min,pH10。,96%。3.3　pH,pH10,90min,10g25,100,200,300,400,600mg/L。Qe,ρe。lgQelgρe,3。3　pH3:,lgQelgρe,Freundlich。4　结论(1):pH。(2)100g/L,90min,pH10,,96%。　　　1　,.　,..,1994;7(5):62—642　,,..,2004;(5):9—113　..,1998;(16):104—1064　,,.PDMDAAC.,2006;20(1):31—33(下转第6945页)6928　　　　　　9,,。　　　1　.《()》.:,2002:46—722　..:,1998:315—3303　MittalGS,ZhangJixian.Artificialneuralnetworkdevelopmentforpredictingfreezingtimeofvariousshapesoffoods.ASAE,1999;99:31—324　..:,2002;28—33,170—2405　,,　.MATLAB(6.x).:,2002:135—1536　　,..,2004;24(1):33—35StudyonPredictionModelforMenUndergraduatesConstitutionandHealthBasedonArtificialNeuralNetworkWANGMing-jun,WANGPing1,WANGLing(DepartmentofPE,DepartmentofElectricEngineering,CollegeofEngineeringofNanjingAgriculturalUniversity,Nanjing210031P.R.China;CollegeofAdultEducationofJiangxiAgriculturalUniversity1,Nanchang330045,P.R.China)[Abstract]　AnArtificialNeuralNetwork(ANN)modelwasdevelopedtopredicttotalscoreofconstitutionandhealthusingthestrongfunctionmappingofANN.Intrainingofnetwork,testresultsoffiveevaluationindexeswereinputvariables,andtotalscorewasoutputvariable.Thismodelovercomestheshortcomingsofmultiplere-gressionmodel,itcanmapthefunctionrelationshipbetweentestresultsofevaluationindexesandtotalscorewithhighprecision,anditcanbeupdatedcontinuouslywithnewtrainingdatas.Inthisstudy,therelationshipcurvebetweeneachtestindexperformanceandfinalscoreisdrawnusingthetrainedANN,anditofferstheoreticsfoun-dationforUndergraduatedstrainingscientifically.[Keywords]　evaluationindexes　　totalscoreofconstitutionandhealth　　ANN　　relationshipcurve(上接第6928页)StudyonTreatmentofWastewaterContainingOilwithFlyAshModifiedbyPDMDAACYAOLe(VocationalandTechnicalCollege,LiaoningUniversityofPetroleumChemicalTechnology,Fushun113001,P.R.China)[Abstract]　Thesimulationexperimentonthetreatmentforwastewatercontainingoilwithmodifiedflyashab-sorptionisconductedbytheorthogonalmethod.Thetreatcapacitytowastewatercontainingoilisresearchedbythemodifiedflyashunderdifferentconditions.Theresultshowsthattheremovalrateofoilcanbeover96%withthedosageofmodifiedflyash100g/L;thecontactingtime90minandpHvalue10.TheabsorptionaccordswithLang-muirabsorptionisotherms.[Keywords]　modifiedflyash　　adsorption　　wastewatercontainingoil694522,: